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出版时间:2014年9月

出版社:浙江大学出版社

以下为《可视化教师隐性知识之知识地图辅助评量系统(英文版)》的配套数字资源,这些资源在您购买图书后将免费附送给您:
  • 浙江大学出版社
  • 9787308139212
  • 21292
  • 2014年9月
  • 未分类
  • 未分类
  • G434
内容简介

  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。

目录

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