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7. knowledge acquisition, representation and organization 8. semantic networks sharmaine c. baun
This document discusses knowledge acquisition, representation, and organization. It describes the two types of knowledge - declarative and procedural - and five guidelines for knowledge acquisition. It also discusses theories of knowledge representation including rule-based production models, distributed networks, and propositional models. A key point is that semantic networks can be used to represent knowledge as a system of interconnected concepts. The document also discusses long-term memory and its two types - episodic and semantic memory. It describes cognitive semantic networks and models by Collins and Quillian as well as schema theory. Concept maps are discussed as a way to visualize relationships between concepts.
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7. knowledge acquisition, representation and organization 8. semantic networks sharmaine c. baun
- 1. Republic of thePhilippines Tarlac State University College of Education Lucinda Campus, Tarlac city Chapter 2: Understanding Learning and Knowledge Acquisition (Knowledge Acquisition, Representation and Organization; Semantic Networks) Sharmaine C. Baun SCHED.4
- 2. KNOWLEDGE ACQUISITION, REPRESENTATION,AND ORGANIZATION KNOWLEDGE ACQUISITION -is a process of absorbing and storing new information in memory. 2 TYPES OF KNOWLEDGE I. DECLARATIVE KNOWLEDGE - refers to one’s memory for concepts, facts, or episodes. 2. PROCEDURAL KNOWLEDGE - refers to the ability to perform various tasks. 5 GUIDELINES FOR KNOWLEDGE ACQUISITION 1. Process the material semantically. 2. Process and retrieve information frequently. 3. Learning and retrieval conditions should similar. 4. Connect new information to prior knowledge. 5. Create cognitive Procedures. KNOWLEDGE REPRESENTATION AND ORGANIZATION THEORIES 1. Rule-based production models. 2. Distributed networks. 3. Propositional Models. SEMANTIC NETWORK- is a method of representing knowledge as a system of connections between concepts in memory Semantic network or net-Is a graphic notation for representing knowledge in patterns of interconnected nodes and arcs. Semantic networks were first developed for ARTIFICIAL INTELLIGENCE (A1) that primary aim is to store knowledge so that programs can process it and achieve the verisimilitude of human intelligence. In Cognitive Education LONG- TERM MEMORY - is a large storage system, stores factual information, procedural rules of behavior, experiential knowledge.
- 3. 2 TYPES OFLONG- TERM MEMORY 1. Memory Episodic- represents our memory of events and experiences in a serial form, from this memory that we can reconstruct the actual events that took place at a given point. 2. Semantic Memory - which is a structured records of facts, concepts and skills that we have acquired. COGNITIVE SEMANTIC NETWORKS COLLINS AND QUILLIAN SEMANTIC NETWORK MODEL SCHEMA THEORY OF RUMELHART AND ORTONY USE IN EDUCATION Hypothesis for educational is that mapping the semantic network of an expert or knowledgeable person. - isolated knowledge - knowledge structures that mimic the teacher’s knowledge structure Concept map- is a kind of visualization or graphical representation of some domain knowledge Concept Mapping- - is a technique to visualize relationships between different concepts PLOTNICK FIVE PURPOSES OF CONCEPT MAPPING 1. To generate ideas 2. To design complex structures 3. To communicate complex ideas 4. To aid learning by explicitly integrating new and old knowledge 5. To assess understanding or diagnose misunderstanding I can do all things through CHRIST who strengthen me Phillipians 13: 4