The changing conditions for the accumulation and transmission of knowledge in the age of multimedia networks make it inevitable that old philosophical problems become formulated in a new light. Above all, the problem of the unity of knowledge is once again a topical issue. The situation-dependent acquisition of knowledge that is made possible by mobile learning transcends the boundaries of traditional disciplines, linking the domains of text, diagram, and picture. Database integration and multimedia search become central problems in (...) the epistemology of the 21st century, while handheld devices are emerging as vital technologies for supporting collaborative learning. -- Kristóf Nyíri has published widely on Wittgenstein, Austrian intellectual history, and the philosophy of communication. He directs the interdisciplinary research program COMMUNICATIONS IN THE 21ST CENTURY, conducted jointly by the Institute for Philosophical Research of the Hungarian Academy of Sciences and Westel Mobile Telecommunications, Budapest. (shrink)

The Purpose of this study was to investigate the effect of cloud mobile learning and creative environment on college student’s creativity performance. A nonequivalent pretest-posttest quasi-experimental design was used in this research. The objects were two freshman classes selected from a public university and randomly assigned to the experimental group and the control group. A learning activity named Amphibious Mechanical Beast was conducted in this teaching experiment. The experimental was taught using cloud mobile learning, while (...) the control group was taught using the traditional (usual) way. Participant student’s design performances before and after the experiment were evaluated. Creative Environment Scale was used to collect data of student’s perception of creative environment. Additionally, an open ended questionnaire was used to realize student’s learning processes. The one-way analysis of covariance (ANCOVA) and the two-way analysis of covariance were performed in this research. After data coding, relative concepts, themes, and theories were integrated and developed. Finally, the findings were proposed according to result of qualitative data analysis. Those main results of this research were: 1.Cloud mobile learning had a positive effect on student’s creative process. Most participant students thought cloud mobile device using convenient and prompt while learning. Cloud mobile learning improved student active participation, and was student-centered rather than teacher-centered. Participant student’s high order thinking abilities could be improved by receiving information and discussing anytime and anywhere. Those high order thinking included problem solving, critical thinking, and creative thinking. Nevertheless, minor participant students’ learning was influenced by past learning habits and insufficient devices. 2. Cloud mobile learning had positive effects on newness, elaborateness, and total aspect of creative products. 3. Perceptions of creative environment had positive effects on preparation stage and reaction stage of creative process. 4. Perceptions of creative environment which were above a certain level had positive effects on creative products. 5. Cloud mobile learning had positive effects on preparation stage of students’ creative process who had lower perceptions of creative environment. 6. Cloud mobile learning had positive effects on value of students’ creative products who had lower perceptions of creative environment. 7. Cloud mobile learning had positive effects on total aspect of students’ creative products who had higher perceptions of creative environment. Finally, recommendations and suggestions were addressed for implementation of cloud mobile learning and future studies based on results of this research. (shrink)

The aim of the study was to explore the motives underpinning career mobility, and the impact of such mobility on changing the perceptions of senior teacher educators from Israel who have experienced cross-cultural professional transitions during the mid-career stage (hereafter referred to as ‘internationally oriented teacher educators’). A thematic analysis of five interviewees’ retrospective narratives highlighted three motives driving career mobility: the opportunity for professional development; the joy of adventure and challenge; and the need to bring about a fundamental change (...) in their careers. In addition, two categories of changes in perceptions that occurred following international mobility were mapped: (a) pluralistic perceptions in a multicultural higher education environment, and (b) culture of learning among the younger generation. The discussion raises similarities and differences between the findings and the literature on career mobility in higher education. (shrink)

Digital Literacy (DL) is defined as the ability to use information and communication technology to communicate with cognitive and technical skills. One of the Digital Literacy is Mobile-Assisted Language Learning (MALL) or mobile phones-based language learning. Merits of this study are worthy of helping learners easier understand the language learning materials presented by either guided face to face in the classroom or self-learning out of the school. The study used experimental and control classes to (...) compare the results that the significance of Mobile-Assisted Language Learning in learning language could be prescribed. Refer to the initial students’ ability, this study designed pre and post-test for the experiment. Furthermore, participants were 40 students of second-year students at the English Education Department. Same topics were taught for experiment and control class in alter methods. The results claimed that the using post-test of MALL had merits on improving experimental group more than control group performance. The results declared that using MALL would encourage students learning activities such as self-language learning, enriching vocabulary, promoting teacher’s pedagogic, student’s cognitive, writing skill, reading comprehension, speaking, grammar and listening skill. Lastly, this paper implied MALL as a reference for future curriculum and material development. (shrink)

The exponential growth of mobile banking has redefined global financial accessibility while simultaneously escalating the sophistication of cyber threats. This study presents a robust, multi-layered cybersecurity framework tailored to the evolving needs of mobile financial systems. The framework integrates three pioneering components: (1) Federated Artificial Intelligence (AI) for privacy-preserving, cross-institutional fraud detection; (2) Post-Quantum Cryptography (PQC) for long-term data integrity against emerging quantum computing threats; and (3) Adaptive Multi-Factor Authentication (A-MFA) leveraging behavioral biometrics for context-aware user verification. Experimental (...) results, drawn from simulated multi-regional banking environments, demonstrate the framework’s efficacy in real-time fraud detection (96.3% accuracy), quantum-resilient encryption (Kyber-768 and Dilithium-3 with negligible latency), and enhanced user authentication (98.1% success rate, 1.4% FRR). Furthermore, the federated learning model maintained high accuracy under non-IID conditions, underscoring its robustness in heterogeneous financial networks. This research fills critical implementation gaps in the literature and provides a scalable, regulation compliant model for secure mobile banking in the post-quantum era. The findings advocate for a proactive shift toward integrated, intelligent, and future-proof cyber defense mechanisms within the global financial ecosystem. (shrink)

This study developed and validated BEsMART, a mobile review application for pre-service science teachers preparing for the Licensure Examination for Teachers (LET). Addressing challenges such as high review costs, inconsistent study habits, and concept retention difficulties, BEsMART integrates spaced repetition for memory retention and hypercorrection techniques to correct misconceptions. Other features include questionbased drills, multimedia resources, instant feedback, and progress tracking. A mixed-method research design was employed, combining ISO/IEC 25010 standards, the U.S.E. Questionnaire, and qualitative feedback from 9 experts (...) and 48 pre-service teachers. Using the Scrum methodology, the application underwent iterative development to enhance usability. Results showed high functional suitability, usability, and reliability, with overall ratings of 4.72 (experts) and 4.75 (users). Findings confirm BEsMART’s effectiveness as a self-directed, accessible, and cost-efficient LET review tool, reinforcing mobile learning’s transformative potential in professional examination contexts and paving the way for future improvements and broader adoption. (shrink)

Mobile and wireless networking infrastructures are facing unprecedented loads due to increasing apps and services on mobiles. Hence, 5G systems have been developed to maximise mobile user experiences as they can accommodate large volumes of traffics with extractions of fine-grained data while offering flexible network resource controls. Potential solutions for managing networks and their security using network traffic are based on UAA (User Activity Analysis). DLTs (Deep Learning Techniques) have been recently used in network traffic analysis for (...) better performances. These previously suggested techniques for network traffic analysis typically need voluminous information on network usages. Hence, this work proposes OFedeMWOUAA (optimal federated learning-based UAA technique with Meadow Wolf Optimisation) and DNN (deep Neuron Networks) for minimizing risks of data leakages in MWNs (Mobile Wireless Networks). In the proposed OFedeMWOUAA, the need to submit data to cloud servers does not arise because it trains DLTs locally and only uploads model gradients or knowledge weights. The OFedeMWOUAA approach effectively decreases dangers to data privacies with very minor performance losses in simulations. (shrink)

This qualitative case study examined how college students perceived the contribution of language learning applications to English macro skill development in a Philippine private college context. The study took place at Iligan Medical Center College and involved ten purposively selected college students who actively used at least one language learning application as part of their English learning routine. Data came from semi-structured interviews and an open-ended questionnaire, with audio recorded interviews transcribed verbatim prior to analysis. Thematic analysis (...) yielded four themes that map directly onto the macro skills: (1) speaking skill development through pronunciation practice and voice recording tools, (2) writing skill development through sentence construction, grammar exercises, and translation tasks, (3) reading skill development through exposure to varied text types and comprehension tasks, and (4) listening skill development through audio drills, dialogues, and listening comprehension tests. In aggregate, participants framed these applications as accessible environments for repetitive practice, immediate feedback, and self-paced skill refinement outside class. The findings support the view that mobile learning tools can extend opportunities for practice across macro skills, while also underscoring the need for rigorous program level integration and evaluation beyond self-report, especially when commercial applications shape learning routines. (shrink)

A restricted-use mobile device policy for introductory philosophy classrooms is presented and defended. The policy allows students to use devices only during open periods announced by the professor and is based on recent empirical findings on the effects of in-class mobile device use. These results suggest devices are generally detrimental to student learning, though they have targeted benefits for specific tasks. The policy is defended via a discussion of the ethical considerations surrounding device use, a discussion of (...) the policy’s benefits, and responses to potential objections. Avenues for future research are suggested at the conclusion of the discussion. (shrink)

In the paper, the current state and trends of the use of AR technologies in the transport industry and in future specialists' vocational training processes have been reviewed and analyzed. The essence and content of the AR technologies relevant to the transport industry have been clarified. The main directions of the AR introduction for the various spheres of the transport industry including design and tuning, mechanical and automotive engineering, marketing and advertising, maintenance and operation, diagnostics and repair of cars have (...) been determined. The AR mobile apps market and the features of the mobile apps with AR have been outlined. The pedagogical terms of effective organizing the students' cognitive activity for transport industry via AR technologies have been determined and researched, namely: to provide each student with the position of an active actor of study and cognitive activity, to switch the study information in a mode of the project activity, the educational content professionalization and to teach students to use the modern ICT purposefully, to manage students' cognitive process by means of ICT. The methodology of using mobile apps with AR in students' vocational preparation process for the transport industry has been presented. It covers the system of educational tasks, updated content of lectures, practical and laboratory classes for specialized disciplines. (shrink)

Plant diseases pose a severe threat to global agriculture, causing up to 40% annual crop losses due to delayed and inaccurate diagnostics. The AI Plant Doctor: Leaf Disease Scanner is an innovative Android-based solution that transforms plant health management using Artificial Intelligence. By integrating Convolutional Neural Networks (CNNs) for precise disease classification, TensorFlow Lite for efficient on-device processing, and OpenCV for robust image preprocessing, the system delivers real-time diagnostics with 92% accuracy. Hosted on a user-friendly Streamlit interface, it offers offline (...) functionality, cloud-based scalability, and seamless access to curated treatment resources via Google API. This platform empowers farmers to detect diseases swiftly and adopt sustainable practices, significantly enhancing crop yields and food security. (shrink)

This paper investigated E-learning application challenges in Onitsha South Local Government Area of Anambra State, Nigeria. Two hundred and twenty-five (225) teachers in public secondary schools were used as the sample for the study. A self-developed instrument on the availability and use of e-learning materials was used for data collection. The instrument contained 25 items. The reliability coefficient of the instrument stood at 0.88. The data collected were analyzed using frequency distribution and mean. The findings revealed: acute shortage (...) of e-learning materials such as online/internet-connected computers, e-mail facilities, multimedia television, multimedia computer, digital library CAI software in ROM disc. It was also revealed that the available resources such as offline/PC computers, scanner, printer and ready-made courseware were not utilized because teachers lacked the knowledge and skills for computer application. The only material identified as available and in use is the Global Systems Mobile (GSM) telephone. It was however recommended among other things that, government should embark on massive computer training and re-training sponsored programs for teachers in Onitsha South L.G.A. Teachers in turn need to be trained and retrained through in-service training, seminars, workshops and conferences for acquisition of the knowledge and skills needed for e-learning application in secondary schools for sustainable development in Nigeria. (shrink)

Federated Learning (FL) is an emerging machine learning paradigm designed to enable model training across decentralized data sources without requiring data to be transferred or centralized. This approach is especially valuable in environments where data privacy, regulatory compliance, and communication efficiency are paramount, such as healthcare, finance, and edge computing. Traditional machine learning methods typically require data to be aggregated in a central server, raising concerns about data privacy and security. Federated Learning addresses these concerns by (...) keeping data on local devices and sharing only model updates, thereby preserving data sovereignty. This paper provides a comprehensive analysis of Federated Learning in distributed systems, focusing on its architecture, advantages, and the technical challenges it presents. We explore the different types of FL—including horizontal, vertical, and federated transfer learning—and explain how each is suited to specific application contexts. We also investigate critical issues such as communication overhead, model convergence, data heterogeneity, and security threats including poisoning and inference attacks. The methodology section discusses state-of-the-art FL frameworks, including Google's Federated Averaging (FedAvg), Secure Aggregation protocols, and emerging advancements like differential privacy and homomorphic encryption. Real-world implementations in mobile networks, autonomous vehicles, and medical diagnosis systems are examined to demonstrate FL’s growing applicability. The paper concludes by emphasizing the transformative potential of Federated Learning in enabling privacy-preserving AI. It also highlights the need for standardized protocols, legal frameworks, and interdisciplinary collaboration to fully harness FL’s benefits while mitigating its risks. As AI continues to permeate sensitive domains, FL offers a promising path forward for ethical and secure machine learning. (shrink)

Chronic illnesses such as diabetes, cardiovascular diseases, cancer, and mental health disorders are increasingly contributing to the global health burden, requiring consistent monitoring, timely intervention, and patient-centric care. Traditional healthcare systems often fall short in addressing these needs due to challenges such as limited access, delayed appointments, and minimal patient engagement between visits. Chronic Connect is a smart healthcare application designed to bridge these gaps through the integration of artificial intelligence (AI) and mobile technology. The app facilitates early detection (...) and management of chronic diseases by analyzing user-input health parameters to predict potential health risks. Its intuitive design ensures accessibility for a wide demographic, including the elderly and users with limited digital literacy. The AI-powered engine continuously learns and adapts to individual health trends, offering personalized insights and encouraging timely medical consultations. Additionally, the platform supports patient education, remote monitoring, and real-time data sharing with healthcare providers, thus fostering a collaborative healthcare ecosystem. By empowering users to take control of their health and enabling providers to deliver proactive care, Chronic Connect aligns with the modern principles of preventive, participatory, and personalized medicine. Its scalability and adaptability make it a valuable tool in both urban and rural healthcare settings. Overall, Chronic Connect exemplifies how digital innovation can transform chronic disease management, reduce healthcare disparities, and improve health outcomes. (shrink)

This study investigates the effect of mobile app on students’ Behavioral engagement, Confidence with technology, Mathematics confidence, Affective engagement, and Mathematics with technology. Grade 9 students were provided with mobile apps to support them in studying mathematics during distance learning. Post-test control group was utilized in the study to compare the mathematics and technology attitudes of the students in the control and treatment groups. This study used the Mathematics and Technology Attitudes Scale (MTAS) questionnaire adapted from Pierce (...) et al. (2007). Majority of students have a favorable attitude about the use of mobile educational applications, ranging from neutral to positive. Although there were no statistically significant differences in several of the subscales, the experimental group showed greater optimism than the control group. Teachers should continue incorporating mobile educational applications into the classroom to help and enhance the learning process given the good experiences reported by students. To further enhance students' attitudes toward the topic, it should be considered to address the negative attitude toward mathematical confidence. (shrink)

Literature frequently describes how ineffective implementation of instructional policy frameworks can make distance learning a lonely and unrewarding academic pursuit, characterized by high student drop-out rates, high failure rates and academic exclusion. In trying to mitigate this catastrophe, academic departments in distance learning institutions utilize learning management systems (LMSs) to stimulate students’ learning experiences. In keeping with techno-progressivism, the researchers (and authors of this paper) turned to extant documentary policy and literature to review – qualitatively – (...) how the University of South Africa’s (Unisa’s) Open Distance Learning Policy (ODLP) promotes academic inclusion and learning agency as cornerstones of student success and social justice, especially in an unequal society like South Africa. The findings revealed the following: 1) Unisa’s ODLP position has the impetus to influence the deployment of the LMS to promote academic inclusion; 2) Practical means of promoting inclusion were mirrored in the provision of manual or electronic learning material, computer laboratories and free internet connectivity in regional centres across all nine provinces of South Africa, as well as in the provision of laptops for National Student Financial Aid Scheme (NSFAS)-funded students, 30 gigabytes of free monthly mobile data to all students, and assistive technologies for students with disabilities; 3) Practical utilization of an LMS to foster self-regulated learning occurred through problem-based individual activities supplemented by asynchronous demonstrative learning material (e.g. audio, video), while collaborative learning agency was enabled through e-tutoring, which afforded students the opportunity to interact with e-tutors and their peers about the learning content; 4) Drawbacks in the use of the LMS stemmed from the insufficiency of assistive learning technologies that are required for students with disabilities to participate fully in online learning, and a corpus of students’ irregular attendance at and participation in e-tutoring discussions and their projection of a negative attitude towards the e-tutors. -/- . (shrink)

The article suggests an unsupervised model for featuring student’s learning patterns in an open-ended learning scenario. The article proceeds by generating powerful metrics to characterize the learner’s behavior and efficacy through Coherence investigation. Then, the selected features are combined through a Gaussian Hybrid Fuzzy Clustering (GHFC) that categorizes students based on their learning patterns. The proposed system features the essential behaviors of every group and associate the behaviors with ability to develop right models to gauge the (...) class='Hi'>learning gains between pre- and post-test scores. Also, this article explains the deployment of behavior characterization to be developed as a adaptive framework of learning behaviors. (shrink)

This study primarily assessed students' achievement in mathematics using a mobile educational application to help them learn and adapt to changes in education. The study involved selected Grade 9 students at a public high school in Nueva Vizcaya, Philippines. This study used a quasi-experimental method, particularly a post-test control group design. Descriptive statistics such as frequencies, percent, mean, and standard deviation were used to describe the achievement of the students in mathematics. A t-test for independent samples was also computed (...) to determine if there is a significant difference between the students’ achievement in mathematics after using the mobile educational application by the control and experimental groups. Results revealed that students' achievement in mathematics was very proficient after using the application. Moreover, the usage of educational mobile applications has a better impact on students' achievement in mathematics than the traditional approach to teaching. Teachers are encouraged to place priority on solving problems. Overall, the use of the mobile educational application can enhance learning in mathematics, thus the continued use of the said application is advised. (shrink)

Against the background of revolutionary digital technologies, mobile learning and the crisis of conventional paradigms in mass societies, the present study shows how innovative and multidisciplinary research capable of both observing and interpreting reality as well as consolidating a pedagogical model open to intercultural dialogue with faith and ethics will allow different cultures to re-appropriate the scientific, pedagogic, ethical and linguistic methodologies necessary for the formation of the ‘human being’. The post-modern condition of the ‘liquid society’, where only (...) transient values are given, with the consequence of uncertainty and dissatisfaction, is the right time to return to the true moral values, i.e. those described by the classical philosophy and the Christian religion that fully realize the human being. This inspiration enables Pedagogy to overcome the uncertainties that afflict subjects in education; overcome the absence of languages and shared ethics; overcome the paroxysmal defense of freedom of thought and action; respond to the lack of model teachers who can have a positive influence on their students; discourage marked and more widespread individualism. (shrink)

Persons with aphasia suffer from a loss of communication ability as a consequence of a brain injury. A small strand of research indicates effec- tiveness of dialogic interventions for communication development for persons with aphasia, but a vast amount of research studies shows its effectiveness for other target groups. In this paper, we describe the main parts of the hitherto technological development of an application named Dialogica that is (i) aimed at facilitating increased communicative participation in dialogic settings for persons (...) with aphasia and other communication disorders, (ii) based on comput- er game technology as well as on theory in dialogic education and argumenta- tion theory, and (iii) designed for mobile devices with larger screens. (shrink)

Discipline and interest are aspects of parenting that affect children’s behavior and academic performance. This study explores the parents’ disciplinary strategies to promote children’s learning interests. The researchers conducted this study due to society’s issue and observation that elementary pupils have a low interest in learning and manifested inappropriate behaviors inside and outside the classroom. The participants were the ten selected parents with children enrolled in 5th Grade in one of the private Catholic elementary schools in Pagadian City, (...) Philippines. A single case study was utilized. It was found that parents experienced challenges in disciplining their children to promote learning interests due to different kinds of behaviors that the children manifest. The participants identified the following behaviors: Too Much Screen Time in Playing Mobile Games and Being Disrespectful. Despite the challenges they have encountered, they were able to overcome those by implementing positive discipline, offering the problem to God, and effective communication to build good relationships with their children. It is important to be gentle and firm in implementing discipline to promote the learning interest of the pupils. Positive discipline inside the classroom allows the pupils to develop skills of responsibility, resiliency, and proper behavior with the use of positive and negative reinforcements that will motivate them to be interested in learning and excel academically. (shrink)

The Internet of Things (IoT) is a rapidly growing technology that connects and integrates billions of smart devices, generating vast volumes of data and impacting various aspects of daily life and industrial systems. However, the inherent characteristics of IoT devices, including limited battery life, universal connectivity, resource-constrained design, and mobility, make them highly vulnerable to cybersecurity attacks, which are increasing at an alarming rate. As a result, IoT security and privacy have gained significant research attention, with a particular focus on (...) developing anomaly detection systems. In recent years, machine learning (ML) has made remarkable progress, evolving from a lab novelty to a powerful tool in critical applications. ML has been proposed as a promising solution for addressing IoT security and privacy challenges. In this article, we conducted a study of the existing security and privacy challenges in the IoT environment. Subsequently, we present the latest ML-based models and solutions to address these challenges, summarizing them in a table that highlights the key parameters of each proposed model. Additionally, we thoroughly studied available datasets related to IoT technology. Through this article, readers will gain a detailed understanding of IoT architecture, security attacks, and countermeasures using ML techniques, utilizing available datasets. We also discuss future research directions for ML-based IoT security and privacy. Our aim is to provide valuable insights into the current state of research in this field and contribute to the advancement of IoT security and privacy. (shrink)

The early detection of plant diseases is essential to preventing crop losses in terms of quantity and productivity. Farmers typically identify illnesses using their prior knowledge or by spending a great deal of time, effort, and experience doing so. Exceedingly challenging to manually monitor plant diseases. In the development of automatic pathogens diagnosis machines, paddy disease detection is crucial . To identify previously known bacterial leaf blight, brown spot, leaf blast, leaf smut, and other narrow illnesses in prior knowledge, we (...) presented a VGG 16 model in this work. Images of various categories diseases are stored in a special data repository, with 80 percent of the data used for training and 20 percent for sample testing. ResNet, Inception v2 and Mobile Net were all used in the model-building process to add benefits. The results of the interpretation show that there is high level picture classification accuracy and low mistake rate. As a result, our model excels at identifying paddy diseases and may be used in practical applications in daily life. (shrink)

The growing use of smart technology in personal grooming has resulted in novel uses such as smart mirrors to analyze the skin health and offer skincare advice. Here is a machine learning-based smart mirror framework that inspects facial skin conditions and gives individualized skincare advice. The framework employs computer vision and deep learning methods to identify and evaluate typical skin issues like acne, wrinkles, pigmentation, dryness, oiliness, and dark circles. By taking facial images with high resolution, the smart (...) mirror derives dermatological attributes and identifies skin conditions based on a CNN-driven model. The analysis is then tuned using image processing techniques and predictive analytics powered by artificial intelligence, providing high accuracy in the assessment of skin. Depending on the identified condition of the skin, the system recommends individualized skincare regimens involving appropriate products, lifestyle changes, and home remedies. The suggestions are based on a knowledge base learned on dermatological databases, skin care literature, and user-dependent considerations like age, skin type, climatic conditions, and past skin care. The intelligent mirror includes IoT sensors that sense environmental parameters like humidity, temperature, and UV index that impact skin well-being. Users interact with the intelligent mirror through voice recognition, touchpad controls, or gesture sensors, so it can be a seamless and convenient user interface. Progress tracking can be provided by the system too, where users get to track changes in the skin over a period of time and accordingly adjust their regimens. Besides, it ties in with cloud platforms and mobile apps, allowing consumers to access their skincare information online and receive professional advice. (shrink)

In recent decades, Information and Communication Technology (ICT) has been advanced and widely spread around the globe in addition to ICT revolution and technological advances are considered the major role in the evolution of modern age, which is called "Digital Transformation Age". Therefore, Electronic Technology (E-Technology) has become one of the most prominent approaches such as Electronic Learning (E-Learning), Electronic Training (E-Training), Mobile Learning (M-Learning), Virtual Lab (V-Lab), Virtual University, etc. E-Technology includes some features, for (...) instance anyone, anywhere, anytime and reducing of geographical barriers. ETechnology is a great trend and influences many fields and sectors such as Learning, Training, Military, Navy, Aviation, Medicine, and Digital space. According to nature of usage, E-Technology can be used in positive or negative trends. E-Technology is considered as a valuable tool in providing several opportunities for learning and training processes for individuals and organizations, especially in critical issues. Finally, we give a quick overview of neutrosophic data and some recent applications. (shrink)

The early and accurate detection of plant diseases plays a vital role in minimizing crop damage and enhancing agricultural productivity. Traditional methods for identifying plant diseases—such as manual observation and expert consultations—are often time-consuming, costly, and reliant on the availability of skilled personnel. To overcome these limitations, this study presents an automated system for plant disease detection using advanced machine learning techniques. The proposed framework utilizes convolutional neural networks (CNNs), specifically pretrained models like ResNet and SqueezeNet, to analyze images (...) of plant leaves and classify them as healthy or diseased. The system begins with the collection and preprocessing of a diverse dataset comprising both healthy and infected leaf samples. Image augmentation techniques such as rotation, scaling, and flipping are applied to increase dataset variability and enhance model robustness. Subsequently, feature extraction is conducted through CNN-based models that capture color, shape, and texture-based characteristics from the leaf images. Transfer learning is employed to finetune the models on the specific dataset, leveraging previously learned features for improved accuracy. The performance of the trained models is evaluated using key metrics including accuracy, precision, recall, and F1- score. Experimental results indicate a high degree of classification accuracy and generalization capability on unseen data. The final model is deployed through a user-friendly interface that can be integrated into mobile or web-based applications, allowing farmers to upload leaf images and receive instant disease diagnosis and possible treatment recommendations. The proposed system holds significant promise for real-world applications, particularly in regions with limited access to agricultural experts. Moreover, its scalability and adaptability pave the way for future extensions to other crops and disease types. This research underscores the transformative potential of machine learning in precision agriculture, offering a cost-effective, scalable, and efficient solution for early plant disease detection. (shrink)

: Deepfake technology enables the creation of hyper-realistic fake videos, posing significant threats in domains like politics, law enforcement, and cybersecurity. This project proposes a deepfake detection framework leveraging facial feature embeddings using FaceNet512, followed by classification through transfer learning models. Unlike traditional CNN-based detectors that analyze full video frames, this method isolates and processes facial data, ensuring higher efficiency and accuracy. Additionally, a real-time email alert system notifies users upon deepfake detection. Evaluation across benchmark datasets like DFDC and (...) FaceForensics++ demonstrates high accuracy, robustness, and suitability for real-time deployment. The proposed system is designed to detect subtle facial manipulations using efficient feature extraction and classification techniques. By focusing on key facial landmarks and minimizing the amount of data analyzed, it ensures quick and effective identification of forged content. The use of pre-trained models via transfer learning significantly reduces the training time while maintaining high generalization across various datasets. Integration with email alerts also provides timely responses for practical security applications. The solution is versatile, scalable, and offers real - world utility in environments like social media platforms, digital forensics, and content authentication. It offers a balanced approach to performance and usability, setting a foundation for future improvements like audio detection, multimodal input support, and deployment on mobile or edge device. (shrink)

The purpose of this research is to design a system using machine learning to automate sign language gesture recognition and facilitate unproblematic interaction between the hearing/speech impaired community and society as a whole. This research works towards solving the communication disability faced by the deaf and mute community through a computer vision framework for recognizing hand gestures and mapping them to relevant text or speech. The work employs a rich dataset of static American Sign Language (ASL) hand signs and (...) uses Convolutional Neural Networks (CNNs) for efficient feature extraction and gesture classification. The suggested model is trained and evaluated on a huge collection of labeled gesture images and exhibits high accuracy with robust generalization to novel data. One of the primary contributions of the work is the implementation of the trained model into an interactive, realtime graphical user interface developed with Python's Tkinter library. The interface captures live input from a webcam, processes each frame to identify gestures, and shows the identified character on the screen. The results of the evaluation confirm the ability of CNNs to accurately identify ASL alphabets with little delay. The proposed system presents an effective and scalable approach towards real-time sign language interpretation, supporting inclusiveness and accessibility of the disabled community. The present research also creates a scope for extension in development, i.e., inclusion of dynamic gesture detection and portability to mobile or embedded platforms to provide enhanced use in real-life situations. (shrink)

In this assignment we proposed to enhance routing overall performance in hybrid wi-fi networks. We the usage of ad-hoc relay stations to dynamically relay site visitors from one telephone to every other in order to keep away from architectures in literature, and in contrast and mentioned techniques to decrease the price of deployment for MCNs. The work investigates how to allocate the bandwidth to customers to enhance the overall performance of hybrid Wi-Fi networks. We in addition regarded the Wi-Fi interference (...) in optimizing the useful resource allocation in hybrid Wi-Fi networks. The work proposes a coalitional sport idea primarily based cooperative packet shipping scheme in hybrid Wi-Fi networks. There are additionally learn about radio frequency allocation for course transmission and relay transmission in hybrid Wi-Fi networks. These works are orthogonal to our learn about in this paper and can be integrated into DTRP to similarly beautify its performance. The throughput ability of the hybrid Wi-Fi community beneath distinct settings has also been an lively lookup theme in the hybrid wifi network. Since Base stations are linked with a wired backbone, we anticipate that there are no bandwidth and energy constraints on transmissions between Base stations. We use intermediate nodes to denote relay nodes that characteristic as gateways connecting an infrastructure wi-fi community and a cellular ad-hoc network Our DTRP algorithm avoids the shortcomings of adhoc transmission in the preceding routing algorithms that without delay mix an ad-hoc transmission mode and a cell transmission mode. Rather than the usage of the multichip ad-hoc transmission, DTR makes use of two hop forwarding by means of relying on node motion and good sized base stations. All different components stay the identical as these in the preceding routing algorithms (including the interplay with the TCP layer). DTRP works on the Internet layer. It receives packets from the TCP layer and routes it to the vacation spot node, the place DTRP forwards the packet to the TCP layer. The statistics routing technique in DTRP can be divided into two steps: uplink from a supply node to the first BS and downlink from the ultimate BS to the data’s destination. (shrink)

Students during the distance education were experiencing solitude and depression in their studies due to no social interaction which led to psychological suffering. In this article, college students' attitudes toward statistics learning were investigated, and its predictors by statistical modeling. Secondary data was extracted from a current study from the literature, summarized using descriptive statistics, and presented in tabular form. As for modeling the predictors of students' attitudes in learning statistics, it was done through multiple linear regression via (...) the ordinary least square (OLS) approach. The finding of statistical calculations revealed that, on average, students possess a "neutral attitude" towards learning statistics online. This suggests that students do not show active involvement and positive engagement in the classroom environment due to some challenges they have encountered during online learning. The regression model I revealed that students who are using mobile phones, fewer study hours in statistics, and intimate relationships with teachers are the significant factors of positive attitude in learning. On the other hand, regression model II showed that low internet signal and low mental health are significant determinants of positive behavior in learning statistics online. Conclusively, students who have suitable gadgets for online learning and with good vibes with their teachers have good performance in class even if they study less, however, effective. Moreover, students with less distraction on social media and with mental stress, tend to deviate their attention in studying their lessons in statistics which positively increases their learning attitude and well-being. (shrink)

The Web Article Summarizer is an advanced NLP-based application that leverages state-of-the-art transformer models, including BART for abstractive summarization and BERT for contextual understanding, combined in a dual-encoder architecture to generate accurate and coherent summaries from lengthy articles. Built using the Flask framework, the system features a scalable RESTful API that enables seamless integration with web and mobile platforms, while its multi-stage preprocessing pipeline ensures optimal text normalization and feature extraction. Evaluated using ROUGE metrics, the solution demonstrates superior performance (...) in maintaining content integrity and domain-specific terminology handling compared to traditional methods. Designed for researchers, students, and professionals, this tool addresses information overload challenges by delivering concise yet comprehensive summaries, with future enhancements planned for multilingual support via mBART, cloud deployment for real-time processing, and JWT authentication for secure API access, making it a versatile and powerful solution for automated text summarization across diverse applications. (shrink)

the current research was conducted with the aim of investigating the applications and challenges of metaverse in education. This research was qualitative and its method was a systematic review based on the Prisma protocol. The scope of the current research was scientific and research articles published in domestic and foreign valid journals in Persian from 1398 to 1402 and English from 2020 to 2024 in the field of metaverse and education. The statistical sample was selected using a targeted method and (...) 38 items were selected from among 900 articles and included in the study. The research findings indicate that remote learning, immersion learning, collaborative learning, personalized learning, flipped learning, student-centered learning, experiential learning, hybrid learning, mobile learning, simulated learning, skill-based learning and Borderless and question-based learning are the most common uses of metaverse in education. However, the metaverse is associated with technical, ethical and social challenges such as the nascent nature of the technology, high cost of equipment, weak support infrastructure, inaccessibility to everyone, violation of privacy, data and network security, lack of legal guidelines and regulations. By using the results of this research, education policymakers can recreate the curriculum and educational plans in accordance with the characteristics of the Z and Alpha generation learners and in line with the development of technology, and the advancements of metaverse technology, and by formulating the strategic plan of the educational system, they can face the created environment and the necessary platforms in the creation and development of technological infrastructures. provide and manage it in a responsible manner. (shrink)

Educational technology has increasingly embraced gamification the use of game design elements (points, badges, challenges, etc.) in non-game learning environments as a strategy to boost student motivation and engagement. This scoping review synthesizes the recent (2023–2025) literature on gamification in education, focusing on reported outcomes and effectiveness. A systematic search of multiple databases (e.g. Scopus, Web of Science, ERIC) was conducted following PRISMA-ScR guidelines. We included open-access empirical and review studies (quantitative, qualitative, or mixed-methods) published in English that evaluated (...) gamified educational interventions. Data was analyzed thematically. In total, 8 studies met the criteria (published 2023–2025). Overall, findings indicate that gamified interventions tend to improve learners’ engagement, motivation, and achievement. Commonly used game elements include points, badges, and leaderboards, often in online learning contexts. Notably, a recent meta-analysis reported a large positive effect (Hedges’ g ≈ 0.82) of gamification on learning outcomes. However, results were not uniformly positive: some studies reported mixed or context-specific outcomes, and effective implementation appeared to depend on thoughtful instructional design. Emerging trends include the integration of gamification with immersive technologies (VR/AR), mobile learning, and adaptive personalization. This review highlights that when well-designed, gamification can meaningfully enhance educational experiences. We conclude with implications for educators and developers, and suggest future research directions (e.g. long-term effectiveness, equity, and adaptive gameful systems). (shrink)

In the complex and problematic context of the contemporary Society, in the time of the digital revolution, of the Mobile Learning and of the crisis of the conventional paradigms of the mass societies, the present study shows how only an innovative and multidisciplinary research, – capable of both, observing and interpreting the reality as well as of consolidating a pedagogic model open to the inter-culture and to the dialogue with the faith and the ethics –, allows the world (...) of the culture to reappropriate of the scientific, pedagogic, ethic and linguistic contents that are necessary for the integral formation of the ‘human being’. Interesting and worthy of consideration appears the contribution offered by the Catholic Faith since the times of the Council V atican II until to the current digital era. Such a contribution was made possible thanks to the support of the new technologies that are utilized with the objective of proposing to the contemporary man a moral culture without which the integral education of the ‘human being’ is not possible. (shrink)

The need for continuous skill enhancement and career development has become essential in today’s rapidly evolving job market. This project focuses on creating a comprehensive digital platform that combines innovative technologies to offer a personalized and engaging learning experience for workers. The solution is delivered as both a website and a mobile application, ensuring accessibility and flexibility for users. Key features include personalized learning paths tailored to individual skill levels, mock tests for self-assessment, progress tracking tools, and (...) an intelligent chatbot for real-time query resolution. To foster user engagement, the platform integrates gamified elements such as rewards, leaderboards, and interactive challenges. Adaptive learning modules leverage advanced algorithms to adjust content based on user performance, promoting structured growth and targeted skill improvement. This initiative addresses critical gaps in workforce development by equipping users with tools to enhance their professional capabilities effectively. By utilizing cutting-edge technologies, the platform not only provides high-quality learning experiences but also empowers users to achieve their career goals, contributing to increased productivity and economic advancement. (shrink)

Higher education institutions function as complex data ecosystems that simultaneously act as data holders, data users, and data intermediaries across teaching, research, and administration. This complexity makes EU data governance and responsible AI directly relevant to universities because compliance increasingly depends on organisational capability linked to fundamental rights protection, cybersecurity resilience, and market integrity. Sector scale amplifies risk because routine administrative errors, biased automated decisions, or weak access control can produce cumulative harm and erode institutional trust. The objective of this (...) abstract is to formulate a compliance–capability framework that aligns EU data governance instruments with AI ethics and responsible digitalisation requirements and translates them into implementable institutional mechanisms. The study applies qualitative policy and legal analysis through doctrinal mapping of the EU regulatory stack relevant to universities, including the GDPR, the Data Governance Act, the Data Act, and the AI Act. It synthesises trustworthy AI ethics frameworks and integrates descriptive indicators on cross-border mobility, digital skills, and cyber risk to support risk-based governance design. Criteria-based institutional design reasoning is used to connect legal duties to governance roles, evidence artefacts, and monitoring indicators across the data and AI lifecycle. Results show that universities face overlapping duties because a single workflow may combine personal data processing, research data sharing, learning analytics, and AI-supported decision support. The GDPR remains foundational, while the Data Governance Act structures trusted reuse, the Data Act addresses fair access, and the AI Act introduces risk-based transparency, oversight, and AI literacy expectations. Further research should test interoperability models for research data sharing and measure how maturity in training and oversight reduces rights violations and incident rates. (shrink)

Using cutting-edge technologies like artificial intelligence (AI), machine learning and Bluetooth connectivity, this paper introduces a state-of-the-art assistive device made especially for blind and visually impaired people. The primary objective of the device is to enhance user mobility, safety and independence in navigating public spaces. Key features include Al-powered real-time navigation, camera-based text recognition and audio feedback, as well as emergency SOS functionality to address critical situations. The Al system processes environmental data through integrated sensors and cameras, providing auditory (...) feedback and voice-assisted navigation to guide users effectively. Bluetooth connectivity enables seamless integration with smartphones and other compatible devices, enhancing accessibility in smart environments. The device’s capacity to instantaneously recognize and vocalize text from signs, labels and papers promises to empower users in daily activities. Security and privacy are prioritized through encrypted data transmission and customized settings. The benefits of this method are compared to those of current technologies based on attributes like ease of use, real-time responsiveness, and user independence. The latest developments in wearable assistive technology are highlighted in a thorough literature review, with an emphasis on user-centered design and useful AI applications for people with visual impairments. The findings suggest that the proposed device could significantly improve the quality of life for blind and visually impaired individuals by offering an intuitive and reliable tool for independent navigation and information access. (shrink)

With the rapid development of communication technology, the explosive growth of mobile and IoT devices, and growing requirements for real-time data processing, a new paradigm of computing, Edge Computing, has appeared. It moves computing power in the direction of data sources to mitigate latency, bandwidth usage, and dependence on cloud computing. In parallel, Artificial Intelligence (AI) has progressed notably with deep learning technology, highly optimized hardware, and distributed computing paradigms to yield smart applications of high computational loads. Nonetheless, (...) the huge amounts of data generated on the network edge impose heavy challenges in managing data, network optimization, and implementing AI models. This has pushed the convergence of Edge Computing and AI, which has led to a new research area called Edge Intelligence. Edge Intelligence is further divided into two broad categories • AI for Edge (Intelligence-enabled Edge Computing) – This is concerned with augmenting Edge Computing architectures with AI-based methods, including resource management, task scheduling, computation offloading, and network optimization. • Edge AI (Artificial Intelligence on Edge) – This involves executing AI models on edge devices directly, enabling local training and inference with minimal dependence on the cloud, thereby improving privacy, efficiency, and real-time processing. This paper provides an overview of Edge Intelligence, including fundamental concepts, future technologies, and research directions. We identify critical challenges such as efficient deployment of AI models, decentralized AI learning through federated learning, and edge-centric accelerations of domain-specific hardware, and discuss how Edge Intelligence has the potential to transform domains like autonomous systems, smart cities, factory automation, and wireless networks. This paper documents the present trend and future path to act as the basis for researchers, engineers, and industry players seeking to improve the topic of AI-driven Edge Computing. (shrink)

This thesis focuses on the use of intelligent tutoring system for education and training of students specialized in electricity in the field of technical and vocational education. The use of modern systems in training and education will have a great positive impact in improving the level of students receiving training and education; this will improve the level of the local economy by producing students of professionals who are able to engage in society efficiently, especially for those who have specialized in (...) electricity. It is known that students in electrical specialties face many problems because of time and cost. Learning and training is not as easy as you imagine, so intelligence is how to overcome these limitations effectively. Motivating the Intelligent Tutorial System (ITS) for this type of training. This system consists of a student model, which in turn will contain lessons, exercises and examples that will be used by the student in addition to the user interface model which makes the teacher to be able to manage lessons, examples, and questions and make changes to the system. Expert System (ES) model representing the Artificial Intelligence (AI) here has been used to determine the level of the student and gives him the results, directions and levels. The program was implemented and was used by trainees to show the extent of its impact. The students expressed their surprise and admiration in this way of education as the system used focuses on individual education which can be used at any time and without restrictions. After this experience, the dedicated (ITS) system needs to be developed in several ways such as to be used on mobile systems and web systems in addition to linking some of the specialized programs in the field of electricity. (shrink)

Purpose of the Study. This study aims to develop and validate Contextualized Virtual Reality Tours as instructional materials for teaching ecology concepts to elementary students, focusing on enhancing students' conceptual understanding of ecological relationships and environmental awareness in a local context. Methodology. The study employed a descriptive-developmental research design and used the ADDIE model to create Contextualized Virtual Reality Tours. Tools included a 64MP mobile camera for video production, AI-generated voice narration, and a 4-point Likert scale assessment for validation. (...) Data analysis was performed with Microsoft Excel. Main Findings. The Virtual Reality Tours significantly improved students' conceptual understanding, moving their performance from low to mastery level. Expert evaluations indicated high validity across content, instructional, and technical quality, and students rated the tours as highly acceptable and effective in increasing their engagement and comprehension of ecology concepts. Novelty/Originality of this Study. This study introduces a localized, semi-immersive Virtual Reality Tour model for ecology education, making science concepts accessible to students without field trips. Integrating contextualized ecological elements addresses the gap in immersive science education tools for local environments, promoting relevant and cost-effective learning. (shrink)

The pandemic brought new norms and techniques of pedagogical strategies in formal education. The synchronous/ asynchronous video streaming brought an emphasis on virtual and augmented realities, which are rapidly replacing textbooks as the main medium for learning and teaching. This transformation requires more extensive online and interactive content with simpler user interfaces. The aim of this study is to report on the design, implementation, and testing of a game based on low-cost and user-friendly content for digital cultural heritage. In (...) this project, a game aimed at inclusive and equitable education was developed using 360° images of the targeted architectural heritage geographically distributed in a pilot site. We promote lifelong learning opportunities for all, following the SDG4, aiming for quality education with the easy-to-use online platform and easy access to immersive education through mobile platforms. Towards a post-carbon future without the need for travel, computational design methods such as using 360° videos and images in combination with virtual reality (VR) headsets allow a low-cost approach to remotely experiencing cultural heritage. We propose developing and testing a GIS-based educational game using a low-cost 360° virtual tour of architectural heritage, more specifically, caravanserais of Anatolia. (shrink)

We undeniably live in an information age—as, indeed, did those who lived before us. After all, as the cultural historian Robert Darnton pointed out: ‘every age was an age of information, each in its own way’ (Darnton 2000: 1). Darnton was referring to the news media, but his insight surely also applies to the sciences. The practices of acquiring, storing, labeling, organizing, retrieving, mobilizing, and integrating data about the natural world has always been an enabling aspect of scientific work. Natural (...) history and its descendant discipline of biological taxonomy are prime examples of sciences dedicated to creating and managing systems of ordering data. In some sense, the idea of biological taxonomy as an information science is commonplace. Perhaps it is because of its self-evidence that the information science perspective on taxonomy has not been a major theme in the history and philosophy of science. The botanist Vernon Heywood once pointed out that historians of biology, in their ‘preoccupation with the development of the sciences of botany and zoology… [have] diverted attention from the role of taxonomy as an information science’ (Heywood 1985: 11). More specifically, he argued that historians had failed to appreciate how principles and practices that can be traced to Linnaeus constituted ‘a change in the nature of taxonomy from a local or limited folk communication system and later a codified folk taxonomy to a formal system of information science [that] marked a watershed in the history of biology’ (ibid.). A similar observation could be made about twentieth-century philosophy of biology, which mostly skipped over practical and epistemic questions about information management in taxonomy. The taxonomic themes that featured in the emerging philosophy of biology literature in the second half of the twentieth century were predominantly metaphysical in orientation. This is illustrated by what has become known as the ‘essentialism story’: an account about the essentialist nature of pre- Darwinian taxonomy that used to be accepted by many historians and philosophers, and which stimulated efforts to document and interpret shifts in the metaphysical understanding of species and (natural) classification (Richards 2010; Winsor 2003; Wilkins 2009). Although contemporary debates in the philosophy of taxonomy have moved on, much discussion continues to focus on conceptual and metaphysical issues surrounding the nature of species and the principles of classification. Discussions centring on whether species are individuals, classes, or kinds have sprung up as predictably as perennials. Raucous debates have arisen even with the aim of accommodating the diversity of views: is monism, pluralism, or eliminativism about the species category the best position to take? In addition to these, our disciplines continue to interrogate what is the nature of these different approaches to classification: are they representational or inferential roles of different approaches to classification (evolutionary taxonomy, phenetics, phylogenetic systematics)? While there is still much to learn from these discussions—in which we both actively participate—our aim with this topical collection has been to seek different entrypoints and address underexposed themes in the history and philosophy of taxonomy. We believe that approaching taxonomy as an information science prompts new questions and can open up new philosophical vistas worth exploring. A twenty-first century information science turn in the history and philosophy of taxonomy is already underway. In scientific practice and in daily life it is hard to escape the imaginaries of Big Data and the constant threats of being ‘flooded with data’. In the life sciences, these developments are often associated with the socalled bioinformatics crisis that can hopefully be contained by a new, interdisciplinary breed of bioinformaticians. These new concepts, narratives, and developments surrounding the centrality of data and information systems in the biological and biomedical sciences have raised important philosophical questions about their challenges and implications. But historical perspectives are just as necessary to judge what makes our information age different from those that preceded us. Indeed, as the British zoologist Charles Godfray has often pointed out, the piles of data that are being generated in contemporary systematic biology have led to a second bioinformatics crisis, the first being the one that confronted Linnaeus in the mid-18th century (Godfray 2007). Although our aim is to clear a path for new discussions of taxonomy from an information science-informed point of view, we continue where others in the history, philosophy, and sociology of science have already trod. We believe that an appreciation of biological taxonomy as an information science raises many questions about the philosophical, theoretical, material, and practical aspects of the use and revision of biological nomenclatures in different local and global communities of scientists and citizen scientists. In particular, conceiving of taxonomy as an information science directs attention to the temporalities of managing an accumulating data about classified entities that are themselves subject to revision, to the means by which revision is accomplished, and to the semantic, material, and collaborative contexts that mediate the execution of revisions. (shrink)

When asking fundamental questions about education, philosophers have not shied away from giving radical answers. Jean-Jacques Rousseau, for example, who found himself disenchanted with the artificiality and pride that he encountered in 18th century Paris, advocated a laissez faire education in the countryside. Such an “education by nature,” Rousseau thought, would keep children at bay from morally corrupt society and would allow them to become authentic and sincere persons. Similarly concerned with moral education, in the early 20th century the American (...) pragmatist John Dewey argued that experiential learning in socially diverse settings would be crucial for nourishing democratic culture. Being a pragmatist, Dewey also maintained that educational philosophy should always concentrate on solving practical difficulties of contemporary social life, instead of dealing with idle intellectual puzzles. In this spirit, oriented towards educational practice, several philosophers of education and educational theorists have recently turned their attention to the ways in which education might help solving some of the pressing problems arising from globalization. This special issue of Global Justice: Theory Practice Rhetoric assembles the latest scholarship of some these philosophers and theorists on the topic of “Global Justice and Education” – a topic which until recently has been curiously neglected within the academic literature on global justice. Alejandra Boni (Technical University of Valencia) and Diana Carolina Velasco (University of Ibagué) analyze how power asymmetries in global knowledge production can give rise to epistemic injustices and explored how academics can collaborate with civil society actors to fight such injustices. Johannes Drerup (Technical University of Dortmund and Free University Amsterdam) responds to the postcolonial critique that global citizenship education is Western-centric by arguing that the dichotomy of “the West vs. the Rest” is outdated and that the critical study of colonialism should be part of global citizenship education. Juan Espíndola (National Autonomous University of Mexico) criticizes that low fee private schools in many developing countries often times do not provide an adequate education, and that global philanthropists should therefore be more careful in their support for these schools. Lindsey Schwartz (University of Wisconsin-Madison) discusses a number of problems that students living abroad face because two central principles of educational justice that are usually taken for granted at the national level either systematically overlook or exacerbate their problems. These two principles are the principle of educational adequacy and the presumption of responsibility on the part of a host country for meeting children’s educational needs. Due to their inappropriateness under conditions of globalization and, in particular, transnational migration, Schwartz demands a cosmopolitan revision of the first and a replacement for the second with a focus on collective responsibility. Finally, Danielle Zwarthoed (Catholic University of Louvain) critically examines the proposal that education for autonomy could be conceived of as a global educational aim, and points out that not only do non-Western cultures endorse the ideal of autonomy, but also that autonomy increasingly gains practical value in a world in which mobility is ubiquitous. All paper drafts except that of Lindsey Schwartz have been subject to intensive debate during the two-day international workshop on “Global Justice In and Through Education,” held at the American University of Paris (AUP) on November 29 and 30, 2018. The international workshop was hosted by the Center for Critical Democracy Studies (CCDS) and was generously funded not only from the CCDS but also from the German Research Foundation (DFG). (shrink)

A growing number of young people with disabilities is pursuing university education. Available research on the impact of Information and Communication Technologies on this matter has mainly focused on assistive technologies and their compensatory role for the adjustment of this group of students to the tertiary setting. However, limited research has looked at the role played by digital technologies such as social media and mobile devices in the transition to university, a critical period of change for all students but (...) more challenging for those with impairments. This paper presents the findings of an empirical study that investigated the experiences of students with vision impairments aged 18 to 24 who were transitioning to a New Zealand university. The findings draw from observations, a researcher diary, focus groups, individual interviews, and data from social media. The study found that new technologies play several enabling roles that help students to manage diverse transition challenges. These roles not only include aspects such as impairment compensation, communication, information, and learning but also support arrangement, collaboration, and social connection and participation. By incorporating in the analysis the potential of digital tools, the article updates and expands the understanding of the role of ICTs in higher education from experiences and views of young people with vision impairments. (shrink)

The article is dedicated to the Pós-Covid 19 new world of fashion. The article aims to investigate the Perceptions of customers through digital tools like e-commerce and e-marketplaces as a means of readapting customers to social life online and to provide recommendations for the new process of buying. References to customer adaptation using digital tools in the buying process have been analyzed. The results of a survey conducted by the authors of Pós-Covid-19 noted that digital learning tools can be (...) beneficial to fashion. The study presented helpful information for luxury market managers to understand the usage of technology among customers. Appropriate support through mobile applications can contribute to the intention to continue using luxury social media and facilitate a long-term relationship between luxury brands and customers. (shrink)

This study explores the connections between time, travel, and creative acts such as painting and poetry, highlighting the similarities that unite these themes. It also focuses on the relationships between the East and the West in regards to these subjects, and posits that travel can be understood as an active form of meditation. The study argues that the meaning of wanderings can be found by learning to make them conscious, and that there has been a deep reflection on time, (...) consciousness, and mobility since ancient times. (shrink)

It is a matter of fact that Europe is facing more and more crucial challenges regarding health and social care due to the demographic change and the current economic context. The recent COVID-19 pandemic has stressed this situation even further, thus highlighting the need for taking action. Active and Assisted Living technologies come as a viable approach to help facing these challenges, thanks to the high potential they have in enabling remote care and support. Broadly speaking, AAL can be referred (...) to as the use of innovative and advanced Information and Communication Technologies to create supportive, inclusive and empowering applications and environments that enable older, impaired or frail people to live independently and stay active longer in society. AAL capitalizes on the growing pervasiveness and effectiveness of sensing and computing facilities to supply the persons in need with smart assistance, by responding to their necessities of autonomy, independence, comfort, security and safety. The application scenarios addressed by AAL are complex, due to the inherent heterogeneity of the end-user population, their living arrangements, and their physical conditions or impairment. Despite aiming at diverse goals, AAL systems should share some common characteristics. They are designed to provide support in daily life in an invisible, unobtrusive and user-friendly manner. Moreover, they are conceived to be intelligent, to be able to learn and adapt to the requirements and requests of the assisted people, and to synchronise with their specific needs. Nevertheless, to ensure the uptake of AAL in society, potential users must be willing to use AAL applications and to integrate them in their daily environments and lives. In this respect, video- and audio-based AAL applications have several advantages, in terms of unobtrusiveness and information richness. Indeed, cameras and microphones are far less obtrusive with respect to the hindrance other wearable sensors may cause to one’s activities. In addition, a single camera placed in a room can record most of the activities performed in the room, thus replacing many other non-visual sensors. Currently, video-based applications are effective in recognising and monitoring the activities, the movements, and the overall conditions of the assisted individuals as well as to assess their vital parameters. Similarly, audio sensors have the potential to become one of the most important modalities for interaction with AAL systems, as they can have a large range of sensing, do not require physical presence at a particular location and are physically intangible. Moreover, relevant information about individuals’ activities and health status can derive from processing audio signals. Nevertheless, as the other side of the coin, cameras and microphones are often perceived as the most intrusive technologies from the viewpoint of the privacy of the monitored individuals. This is due to the richness of the information these technologies convey and the intimate setting where they may be deployed. Solutions able to ensure privacy preservation by context and by design, as well as to ensure high legal and ethical standards are in high demand. After the review of the current state of play and the discussion in GoodBrother, we may claim that the first solutions in this direction are starting to appear in the literature. A multidisciplinary debate among experts and stakeholders is paving the way towards AAL ensuring ergonomics, usability, acceptance and privacy preservation. The DIANA, PAAL, and VisuAAL projects are examples of this fresh approach. This report provides the reader with a review of the most recent advances in audio- and video-based monitoring technologies for AAL. It has been drafted as a collective effort of WG3 to supply an introduction to AAL, its evolution over time and its main functional and technological underpinnings. In this respect, the report contributes to the field with the outline of a new generation of ethical-aware AAL technologies and a proposal for a novel comprehensive taxonomy of AAL systems and applications. Moreover, the report allows non-technical readers to gather an overview of the main components of an AAL system and how these function and interact with the end-users. The report illustrates the state of the art of the most successful AAL applications and functions based on audio and video data, namely lifelogging and self-monitoring, remote monitoring of vital signs, emotional state recognition, food intake monitoring, activity and behaviour recognition, activity and personal assistance, gesture recognition, fall detection and prevention, mobility assessment and frailty recognition, and cognitive and motor rehabilitation. For these application scenarios, the report illustrates the state of play in terms of scientific advances, available products and research project. The open challenges are also highlighted. The report ends with an overview of the challenges, the hindrances and the opportunities posed by the uptake in real world settings of AAL technologies. In this respect, the report illustrates the current procedural and technological approaches to cope with acceptability, usability and trust in the AAL technology, by surveying strategies and approaches to co-design, to privacy preservation in video and audio data, to transparency and explainability in data processing, and to data transmission and communication. User acceptance and ethical considerations are also debated. Finally, the potentials coming from the silver economy are overviewed. (shrink)

The professional situation is considered a major interface of practicum training, here conceived as a School of conjunction, a school where one learns to make links, a foundation for the engineering of professionalization. The notion of situation is here developed based on the study of a data corpus elaborated during an experience with a practicum training model centred on writing and the construction of the professional situation by a subject-actor-author of the situation, in interaction with others, in the context of (...) nurse training. The analysis and interpretation of data brings to light a complex and unique unit, constructed in the space-time of a professional practice, a process during which several states succeed one another. The critical moment in action characterizes this unit; it is central to the process, mobilizing reflection in action, internal deliberation, and action-related decision. La situation professionnelle est identifiée comme interface majeure de la formation en alternance conçue ici comme une Ecole de la conjonction, une école où l’on apprend à relier, fondement d’une ingénierie de professionnalisation. La notion de situation est approfondie à partir de l’étude d’un corpus de données constitué au fil de l’expérimentation d’un modèle de formation en alternance centrée sur l’écriture et la construction de la situation professionnelle par un sujet-acteur-auteur de la situation, en interaction avec autrui, dans le contexte de la formation en soins infirmiers. L’analyse et l’interprétation des données permettent de mettre en évidence une unité singulière complexe, construite dans l’espace-temps d’une pratique professionnelle, un processus au cours duquel plusieurs états se succèdent. Le moment critique dans l’action la caractérise ; il occupe la place centrale du processus, mobilisant réflexion dans l’action, délibération intérieure et décision d’action. (shrink)

This article proposes that thinking of scientific instruments as playthings or philosophical toys offers a method for looking at the ways in which we learn from made things and from the act of making in investigating the world. Rather than approaching artefacts as stable ob- jects, definable and categorisable in terms of their function, this method puts forward the instability and mobility of artefacts on several levels: in terms of their movements between hands, social contexts and systems of knowledge, in (...) terms of their physical articulations and of their changing functions, and in terms of the flows and processes of materials at work within and through them. (shrink)