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可视化教师隐性知识之知识地图辅助评量系统

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作者苏建元　著

出版社浙江大学出版社

ISBN9787308139212

出版时间2014-10

版次1

装帧平装

开本16开

纸张胶版纸

页数218页

字数99999千字

定价40元

上书时间2024-06-20

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商品描述: 基本信息
书名:可视化教师隐性知识之知识地图辅助评量系统
定价：40元
作者:苏建元　著
出版社：浙江大学出版社
出版日期：2014-10-01
ISBN：9787308139212
字数：290000
页码：218
版次：1
装帧：平装
开本：16开
商品重量：
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内容提要

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-AssistedAssessment (CAA) 4.2 Esting 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 /497.1 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 EducatioApplication 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 AssessmentSystem 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-basedCollaborative Filtering Approach 14.1 Clustering Teacher's Assessment Knowledge 14.2 Item Recommendation Methodology 14.3 The Mechanism of Personalized Item Recommendation iIKMAAS 14.4 Experimental Design 14.5 Results and Discussion CHAPTER 15 Summary and Future Work Reference Subject Index
作者介绍
Chien-Yuan Su is currently an assistant professor in the Institute of Curriculum and Instruction (Institute of Educational Technology). In the past, he served a full-time postdoctoral in the Department of Engineering Science at Cheng Kung University, Taiwan, China. He received the M.S. in Department of Information and Learning Technology from University of Tainan in 2006; and acquired Ph.D. in Department of Engineering Science at Cheng Kung University in 2012. His major interests in the research field includes e- learning, learning and technology, e-Learning pedagogical strategies, developing e-Learning for specific subject domains and e-assessment.
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可视化教师隐性知识之知识地图辅助评量系统

鲁是特

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