可视化教师隐性知识之知识地图辅助评量系统

Preface

Acknowledgements

CHAPTER 1 Introduction

1.1 Background and Motivation

1.2 Goals and Contributions

1.3 Organization of This Book

CHAPTER 2 The Role of Assessment in Classroom

CHAPTER 3 Assessment, Course Concepts and Items

CHAPTER 4 Computer-AssistedAssessment System and Tools

4.1 Computer-Based Assessment (CBA) and Computer-Assisted

Assessment (CAA)

4.2 Existing Computer-AssistedAssessment Systems

CHAPTER 5 Implicit Assessment Knowledge of Teachers

CHAPTER 6 Knowledge and Knowledge Management

6.1 Tacit Knowledge and Explicit knowledge

6.2 Knowledge Management

6.3 Reusing Tacit Knowledge

CHAPTER 7 Knowledge Representation and Visualization /49

7.1 Knowledge Representation

7.2 Knowledge Visualizations

CHAPTER 8 Knowledge Map

8.1 The Type of Knowledge Map

8.2 Various Applications of Knowledge Maps

8.3 Knowledge Map Development and Construction

8.4 Automated Construction of Knowledge Map

CHAPTER 9 Test Item Categorization

CHAPTER 10 Clustering Technology and Clustering in Education

Application

10.1 Clustering Technology

10.2 K-means and K-medoids

10.3 Clustering in Education Application

10.4 Teacher Clusters

CHAPTER 11 Personalization and Item Recommendation

11.1 Personalization

11.2 Recommendation Systems

11.3 Item Recommendation

CHAPTER 12 Knowledge Map Assisting Assessment System

12.1 The KMAAS Architecture and the Methodology

12.2 KMAAS Implementation and Operations

12.4 Experiment Design

12.5 Evaluation and Discussion of KMAAS

12.6 Limitations of the Evaluation of KMAAS

CHAPTER 13 Internet-based Knowledge Map Assisting Assessment

System

13.1 Knowledge Accumulation and Visualization Methodology

13.2 IKMAAS Architecture

13.3 IKMAAS Implementation and Operations

13.4 Experiment Design

13.5 Evaluation and Discussion of IKMAAS

CHAPTER 14 Item Recommendation Uses the Teacher Cluster-based

Collaborative Filtering Approach

14.1 Clustering Teacher's Assessment Knowledge

14.2 Item Recommendation Methodology

14.3 The Mechanism of Personalized Item Recommendation in

IKMAAS

14.4 Experimental Design

14.5 Results and Discussion

CHAPTER 15 Summary and Future Work

Reference

Subject Index

长期以来，计算机或信息科技扮演着辅助教师处理试卷出题工作的重要角色，教师可以使用教材出版商所附之题库光盘或在线题库协助其进行教育试题的编制，然而，在教师出题的过程中，常发生教师忽略掉重要的课程概念或出题比重难以拿捏的问题。苏建元编著的《可视化教师隐性知识之知识地图辅助评量系统(英文版)》提出一个新的方法，利用知识地图赋予概念权重的方式，实作出一个能辅助小学教师进行出题的评量系统，当教师进行出题时，该能确保并建构一个适当的概念与试题间的权重比例，做为教师的出题参考，首先借由分析课程的内容架构，并得出概念之间的重要关系，并且透过可视化的知识地图进行呈现，接着教师除了能先行汇入所设计的电子试题来了解试题概念的比例分配之外，陆续收集来的相关电子试题，将提供系统进行自动试题分类与学习概念的粹取，使教师能进一步借由所设定之施测范围来取得试题，形成学习概念节点的知识地图，让教师依照知识地图所呈现的学习概念比重以及概念间的关连权重来判别并挑选出合适学习者的试题内容。该系统透过评估学习概念粹取的正确性、以及利用问卷方式取得教师对系统使用的满意度进行调查，结果证明该系统确能有效的帮助教师进行出题，此外，借由形成性评估的方式能有效且持续的改善系统的运作与执行，而本研究所提之运作方法与出题系统的设计皆能有效且弹性地移转与应用到其他的试题内容之中。