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Artificial Intelligence in Education Technologies: New Development and Innovative Practices

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Cover of 'Artificial Intelligence in Education Technologies: New Development and Innovative Practices'

Table of Contents

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    Book Overview
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    Chapter 1 A Qualitative Evaluation of an AI-Based Study Progress Forecast
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    Chapter 2 AI for Coding Education Meta-analyses: An Open-Science Approach that Combines Human and Machine Intelligence
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    Chapter 3 Results Analysis of the Opinion Survey for Mechanical Engineering Students of a Course Taught in Face-to-Face vs. Online Format
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    Chapter 4 KNIGHT Learning Analytics Architecture for Betterment of Student Education
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    Chapter 5 An Innovative Model for Teacher Presence or Not in Video for Online Instruction Based on Neural Theory
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    Chapter 6 Using Relational Dialectics to Better Understand the Impact of Computer-Mediated Communication from the Perspective of Online Teaching
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    Chapter 7 Questionnaire and Empirical Analysis of Major Choice of Business Administration Students in Chinese Universities
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    Chapter 8 Design of Problem Based Learning in Intelligent Management Education
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    Chapter 9 AI Implications in Satisfying Digital Skills Training Needs Through OER
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    Chapter 10 Multilingual Text Simplification and Its Performance on Social Sciences Coursebooks
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    Chapter 11 Transdisciplinary AI Education: The Confluence of Curricular and Community Needs in the Instruction of Artificial Intelligence
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    Chapter 12 Classification of Human- and AI-Generated Texts: Investigating Features for ChatGPT
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    Chapter 13 Is ChatGPT a Threat to Formative Assessment in College-Level Science? An Analysis of Linguistic and Content-Level Features to Classify Response Types
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    Chapter 14 The Role of AI Algorithms in Intelligent Learning Systems
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    Chapter 15 Cinderella 1.4 Program: A Potential Benefit of a Virtual Dynamic Geometry System for Lexical Language Learning (the Aspect of Adult Education)
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    Chapter 16 Effective Learning Objectives Design System with the A.S.K Model in Higher Education
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    Chapter 17 Employing Crowdsourcing for Enriching a Music Knowledge Base in Higher Education
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    Chapter 18 Leveraging Design Thinking, Participatory Design, and Learning Sciences to Innovate Learning Applications: An Applied Example
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    Chapter 19 Exploring the History and Culture of Main Square Los Tupes with Augmented Reality in San Diego, Cesar
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    Chapter 20 Day of AI: Innovating Pedagogical Practices to Bring AI Literacy to Classrooms at Scale
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    Chapter 21 Connecting Learning Material and the Demand of the Job Market Using Artificial Intelligence
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    Chapter 22 Teaching First Order Logic with Friendly Puzzles
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    Chapter 23 Research of Artificial Intelligence Empowering Teachers ICT Competence of Rural Area in China
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    Chapter 24 MIT FutureMakers: A Computational Action Approach for Youth to Learn About Deep Learning for Social Good
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Title
Artificial Intelligence in Education Technologies: New Development and Innovative Practices
Published by
Springer Nature Singapore, December 2023
DOI 10.1007/978-981-99-7947-9
ISBNs
978-9-81-997946-2, 978-9-81-997947-9
Editors

Schlippe, Tim, Cheng, Eric C. K., Wang, Tianchong

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