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人工智能教材和教育学教材中的知识构建比较研究

Abstract第4-6页
摘要第7-13页
List of Abbreviations第13-15页
Chapter 1 Introduction第15-22页
    1.1 Research Background第15-16页
    1.2 Purpose and Significance第16-17页
    1.3 Methodology第17-21页
        1.3.1 Data Collection第18-20页
        1.3.2 Data Analysis第20-21页
    1.4 Structure of the Thesis第21-22页
Chapter 2 Literature Review第22-36页
    2.1 Defining Knowledge第22-31页
        2.1.1 Linguistic Understanding of Knowledge第23-26页
        2.1.2 Knowledge from the Perspective of Sociology of Education第26-29页
        2.1.3 The Complementarity of Both Perspectives第29-31页
    2.2 Previous Studies on Textbooks of Different Disciplines第31-35页
        2.2.1 Studies on Textbooks from the Perspective of Linguistics第32-33页
        2.2.2 Studies on Textbooks from the Perspective of Education第33-35页
    2.3 Previous Studies on Knowledge Construction in Textbooks第35-36页
Chapter 3 Theoretical Framework第36-51页
    3.1 Integrated Analytical Framework for Knowledge Construction第36-40页
    3.2 Theories from the Sociology of Education第40-45页
        3.2.1 Bernstein's Theory on Knowledge in Society第40-42页
        3.2.2 Bernstein's Theory of Knowledge Structure第42-44页
        3.2.3 Semantic Density and Semantic Gravity in Legitimate Code Theory第44-45页
    3.3 Systemic Functional Linguistics第45-51页
        3.3.1 Ideational Metafunction第45-46页
        3.3.2 Field: Process and Participant第46-49页
        3.3.3 Summary第49-51页
Chapter 4 Data Analysis第51-84页
    4.1 Constructing Knowledge through the Distribution of Terms第51-60页
        4.1.1 The Relations of Terms in AI: Search第52-56页
        4.1.2 The Way of Distributing Terms in Education第56-60页
    4.2 Constructing Knowledge through the Regulation of Ideational Meanin第60-77页
        4.2.1 Constructing Knowledge through Participants第60-68页
        4.2.2 Constructing Knowledge through Processes第68-77页
    4.3 Constructing Knowledge through Recontextualization第77-84页
        4.3.1 Semantic Gravity in Artificial Intelligence and Education Textbooks第78-80页
        4.3.2 Semantic Density in Artificial Intelligence and Education Textbooks第80-82页
        4.3.3 Knowledge Construction through Semantic Gravity and Semantic Densityin Textbooks第82-84页
Chapter 5 Conclusion第84-91页
    5.1 Major Findings第84-89页
        5.1.1 The Distribution of Knowledge第85页
        5.1.2 The Regulation of Knowledge第85-86页
        5.1.3 The Recontextualization of Knowledge第86-88页
        5.1.4 Theoretical and Practical Implications of This Study第88-89页
    5.2 Limitations of this Study and Suggestions for Future Work第89-91页
References第91-99页
Acknowledgements第99-100页
攻读硕士学位期间发表论文及科研成果说明第100页

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