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eLearning with PBL Agents

eLearning

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訂購需時10-14天
9789866432057
Akcell Chiang
藍海文化
2009年10月01日
167.00  元
HK$ 150.3
省下 $16.7
 
二樓書卷使用細則 二樓書卷使用細則






* 規格:平裝 / 普級 / 單色印刷 / 初版
* 出版地:台灣




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  This book discusses an agent system to work as a tutor to interact with learners without educator’s involvement. There are three different agents integrated together for the PBL system: the GDSS-agent settles students’ conflicts in meetings; the tutor-agent consults students during the learning; the assessment-agent evaluates individual student’s formative and summative progresses in PBL classes.



CHAPTER 1: INTRODUCTION
1.1 PBL BACKGROUND
1.2 CHARACTERISTICS OF PBL
1.3 PBL VERSUS TRADITIONAL TEACHING METHODS
1.4 MOTIVATION
1.5 RESEARCH PROBLEMS
1.6 RESEARCH QUESTIONS
1.7 THESIS STRUCTURE

CHAPTER 2: PBL WORKLOADS AND SUPPORTING SYSTEMS
2.1 PEDAGOGY
2.2 COURSE DESIGN
2.3 ASSESSMENT
2.4 COURSE EVALUATION
2.5 PBL WORKLOAD SUMMARY
2.6 SUPPORTING SYSTEMS FOR PBL
2.7 WEAKNESSES OF THE EXISTING PBL SUPPORTING SYSTEMS
2.8 PBL SUPPORTING SYSTEM VS. PBL WORKLOADS

CHAPTER 3: A COGNITIVE TUTOR MODEL FOR PBL
3.1 INTELLIGENT DEVICE ANALYSIS
 3.1.1 Group Decision Support System - Ma’s GDSS (1996)
 3.1.2 Visualized Mind Mapping Software - Belvedere (1997)
 3.1.3 Computer Assistant Instruction - Magix (1999)
 3.1.4 Kim’s Virtual Clinic (2002)
 3.1.5 Mann’s Game-based Tool - (2002)
 3.1.6 Intelligent Tutoring System – COMET (2004)
 3.1.7 Oliveira’s PBL Pedagogical System - (2005)
 3.1.8 Summary
3.2 A COGNITIVE TUTOR MODEL FOR PBL
 3.2.1 A Cognitive PBL Scheme
 3.2.2 Assembling the Cognitive Components
 3.2.3 Cognitive PBL Model
 3.2.4 Device Summary
3.3 CONCLUSION

CHAPTER 4: COGNITIVE TUTORIAL AGENT SYSTEM
4.1 GDSS AGENT
 4.1.1 Schema
 4.1.2 IPM
 4.1.4 GDSS Agent Model
 4.1.5 GDSS Agent Definition
 4.1.6 GDSS Agent Algorithm
4.2 TUTOR AGENT
 4.2.1 PBL Timetable
 4.2.2 Tutor Agent Definition
 4.2.3 Tutor Agent Algorithm
4.3 ASSESSMENT AGENT
 4.3.1 Assessment Agent Definition
 4.3.2 Assessment Agent Algorithm
4.4 MALESABRAIN SYSTEM 76
 4.4.1 PBL Group
 4.4.2 MALESAbrain Algorithm
4.5 IMPLEMENTATION
 4.5.1 Hardware and Software
 4.5.2 MALESAbrain Subsystems
 4.5.3 Database Design
 4.5.4 User Guide
4.6 CONCLUSION 93

CHAPTER 5: COGNITIVE FUNCTIONS IN MALESABRAIN
5.1 CRITICAL THINKING CYCLE IN MALESABRAIN
5.2 SCHEMA VERSUS AK-CELL
5.3 REINFORCEMENT VERSUS CRITICAL THINKING
5.4 EXAMPLE OF FUZZY CALCULATION
5.5 COGNITIVE FUNCTIONS IN MALESABRAIN ALGORITHMS
5.6 CONCLUSION

CHAPTER 6: PBL CLASSROOM WITH MALESABRAIN FACILITATION
6.1 EXPERIMENT DESIGN
6.2 COURSE DESIGN
6.3 EXPERIMENT
 6.3.1 General introduction & Practice unit
 6.3.2 Teaching Unit
 6.3.3 PBL Discussion Unit
 6.3.4 Presentation Unit
 6.3.5 Experiment Discussion
6.4 SYSTEM SURVEY
6.5 CONCLUSION

CHAPTER 7: CONCLUSION
7.1 REVIEW
7.2 CONTRIBUTION
7.3 LIMITATION
7.4 FUTURE WORK
7.5 FURTHER RESEARCH

REFERENCE




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