2. DESIGN AND
IMPLEMENTATION OF A DUAL
LANGUAGE TYPING SPEED
AND READING
COMPREHENSION
WEBSITE FOR GRADE 11
SENIOR HIGH ICT STUDENTS
PRESENTED BY: LENNON ABRAHAM L. ALJAMA, JERIC A. LALAP,
RHAINNE MARJORIE S. NAAG, CHRISTIAN PIERRE S. ARNALDO,
RIHANNA LINDSAY M. DIZON, SINCERE B. SAN RAMON,
MARKY L. LEIDIA, FRANCIS V. GLINDRO, RAIZEN D. NUNEZ,
JOHN CRISTOFF L. ESPIRITU
TITLE 1
3. RATIONALE /
BACKGROUND
Typing is an essential skill in today’s digital world. Students who type
fluently can focus more on their ideas than on the keyboard. However,
many Filipino students struggle with reading comprehension and
following instructions, making typing feel like a chore. Even those who
can type often find it hard to improve speed and accuracy, skills that
impact academic performance. Our project proposes a gamified typing
website to make practice more engaging, boost motivation, and help
students build vocabulary while improving their typing fluency.
4. STATEMENT OF
THE PROBLEM
In today’s digital age, typing proficiency and reading
comprehension are essential, especially for students in the ICT
strand. However, many Grade 11 ICT students struggle with typing
accuracy and comprehension in both English and Filipino. Existing
platforms often lack:
• Bilingual support
• Personalized learning paths
• Alignment with Philippine education standards
5. STATEMENT OF
THE PROBLEM
1.What is the current level of typing proficiency (speed &
accuracy) in English and Filipino among Grade 11 ICT students
at TRACE College?
2.How does using a dual-language typing and reading website
affect:
⚬ 2.1 Typing speed in English and Filipino?
⚬ 2.2 Reading comprehension in both languages?
⚬ 2.3 Overall digital fluency?
3.Is there a significant difference in improvement between:
⚬ 3.1 English vs. Filipino typing proficiency?
⚬ 3.2 Reading comprehension in English vs. Filipino?
6. POPULATION AND
SAMPLING
A total of 30 students of TVL - ICT Strand in Trace College Inc. This
study utilized a systematic sampling technique, a type of
probability sampling, to ensure a fair and unbiased selection of
participants. Students' voluntary response sampling was used in
this study. Students are willing to participate in this study.
7. RESPONDENTS OF
THE STUDY
This study focuses on improving senior high school students'
typing on the computer. Participation is voluntary, and all
participants will be giving informed consent. Confidentiality is
maintained by their names, and all data is used strictly for research
purposes only.
8. RESEARCH
INSTRUMENT
The primary research instrument was a structured
questionnaire distributed via Google Forms. It utilized
a 5-point Likert scale to assess participants’
perceptions before and after using the system. The
collected responses were automatically recorded in
Google Sheets, which were later downloaded into
Microsoft Excel for further data analysis, including
calculation of means and application of the paired
sample t-test to evaluate statistical significance.
10. DATA
COLLECTION &
ANALYSIS
Responses were gathered via Google Forms. Data will be analyzed
using descriptive and inferential statistics, focusing on:
• Paired sample t-test – compares pre- and post-assessment
scores.
Key Metrics:
• Mean Difference – shows average change in scores.
• t-value – measures strength of difference.
• p-value (< 0.05) – indicates significant improvement.
This analysis helps assess the platform’s effectiveness on typing,
comprehension, and user experience.
11. REVIEW OF
RELATED
LITERATURE
Cabanilla, R. D., & Soriano, J. P. (2025). Correlation of ICT usage and English proficiency among senior high
students in the Philippines. Asian Journal of Education and Social Studies , 38(3).
Department of Education. (2021). ICT competency standards for Philippine K-12 education . Republic of the
Philippines.
Kyle. (2025, March 19). Why you should learn how to type and improve touch typing skills. Pitman
Training TM - Training Courses & UK Qualifications.
Noordan, M. B., & Yunus, M. M. (2022). The integration of ICT in improving reading comprehension skills : A
systematic literature review. Creative Education, 13(7), 2051–2069.
Quinto, P. J., & Santos, M. L. (2025). The effect of bilingual education programs on literacy skills in
Philippine elementary schools. ResearchGate.
Romano, J. (2025, June 16). Why website gamification is the key to improved site engagement. Wix Blog.
Telefónica. (2023). 7 advantages and disadvantages of ICTs in education.
Yusingco, M. T. (2020). Distance learning barriers during the COVID-19 pandemic among computing
students in Luzon, Philippines [Preprint].
13. WEB DEVELOPMENT OF A
DIGITAL ATTENDANCE
MONITORING AND STUDENT
GROUPING SYSTEM FOR
CLASSROOM MANAGEMENT
TITLE 2
14. RATIONALE
In many schools, attendance is still recorded manually using paper
sheets. This method is slow, error-prone, and often leads to lost
records. These problems affect not only teachers but also students
and administrators who rely on accurate data for evaluation and
management. To solve this, a web-based Student Attendance
Management System (SAMS) is proposed. It automates attendance
tracking and includes a student grouping feature to improve
classroom organization. This system ensures real-time access to
accurate records, reduces human error, and supports collaborative
learning.
15. STATEMENT OF
THE PROBLEM
Manual attendance tracking is still widely used in schools, despite
being time-consuming, error-prone, and inefficient. Educators
struggle with lost records, delayed data, and poor group
management, which affects classroom organization and student
accountability. This study aims to explore how a digital attendance
monitoring system using familiar tools like Google Forms and
portable devices can streamline classroom management, reduce
human error, and enhance student grouping. The project also
addresses critical concerns like privacy, usability, and long-term
impact on school practices.
16. STATEMENT OF
THE PROBLEM
1.What is the current profile of the respondents?
2.What are the key features necessary for an effective digital
attendance monitoring system?
3.What challenges do educators face when transitioning from
traditional attendance methods to a digital system?
4. What privacy and security concerns must be addressed when
developing a digital attendance and grouping system?
17. STATEMENT OF
THE PROBLEM
5.What impact does real-time attendance tracking have on student
accountability and attendance rates?
6.What role does user interface design play in the effectiveness of
a digital attendance monitoring system?
7.What are the long-term implications of using digital attendance
systems on educational policy and classroom management
practices?
18. POPULATION AND
SAMPLING
This study involves selected teachers of Trace College who
are handling Senior High School classes during the Academic
Year 2025–2026. A total of 15 teachers of Trace College are
selected as the participants of this study through a simple
random sampling technique. This method ensured that each
teacher had an equal opportunity to be included in this study.
19. POPULATION AND
SAMPLING
This study involves selected teachers of Trace College who
are handling Senior High School classes during the Academic
Year 2025–2026. A total of 15 teachers of Trace College are
selected as the participants of this study through a simple
random sampling technique. This method ensured that each
teacher had an equal opportunity to be included in this study.
20. RESEARCH
INSTRUMENT
The main instrument used in this quantitative study is a
Google Form. The Google form consisted of a link that led
teachers to go to the Web-Based Digital Attendance
Monitoring and Student Grouping System based on the
perceptions and experiences of selected teachers from Trace
College.
21. RESPONDENTS OF
THE STUDY
This study involves selected teachers of Trace College who
are handling Senior High School classes during the Academic
Year 2025–2026. A total of 20 teachers of Trace College are
selected as the participants of this study through a simple
random sampling technique. This method ensured that each
teacher had an equal opportunity to be included in this study.
23. Collection and Analysis of Data:
Mean (average level of
agreement)
Standard deviation (variation in
responses)
Frequency distribution (how
many respondents chose each
option)
Confidentiality and
Voluntary Participation
DATA GATHERING
PROCEDURE
24. REVIEW OF
RELATED
LITERATURE
Abellera, M. P., Mones, A. V., & Mones, M. S. (2020). Development of a Web-Based Attendance
Monitoring System for Academic Institutions. International Journal of Advanced Trends in
Computer Science and Engineering, 9(4), 6000–6004.
Cayabyab, A. M., & Salazar, A. (2019). Biometric-Based Student Attendance Monitoring System
Using Arduino and RFID Technology. Asia Pacific Journal of Multidisciplinary Research, 7(1), 41–
46.
Domingo, R. J., & Yazon, A. D. (2019). Effectiveness of Online Attendance Monitoring System
Using Google Forms in a Tertiary Education Institution. International Journal of Information
and Education Technology, 9(3), 227–231.
Mendoza, K. J., & Garcia, A. M. (2021). Improving Classroom Management Through a Real-Time
Attendance Monitoring System. Journal of Educational Technology, 15(2), 58–66.
University Teknikal Malaysia. (2020). Student Attendance Management System (SAMS):
Implementation Results and Feedback. UTeM Research Reports.