Artificial Intelligence and Education Frontiers in Artificial Intelligence and Applications 1st Edition by Bierman, Breuker, Sandberg ISBN 9051990146 9789051990140

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Product details:
ISBN 10: 9051990146
ISBN 13: 9789051990140
Author: Bierman, Breuker, Sandberg

Artificial Intelligence and Education Frontiers in Artificial Intelligence and Applications 1st Edition Table of contents:

Part I: Theoretical Foundations and Models of AI in Education

2. Theories of Learning and Cognitive Models

   • Cognitive and Constructivist Learning Theories
   • How AI Supports Cognitive Models in Education
   • The Role of Intelligent Systems in Personalized Learning
   • Theories of Motivation and Engagement in AI-Powered Learning

3. Intelligent Tutoring Systems (ITS)

   • Overview of ITS and Their Applications
   • Adaptive Learning and Personalized Feedback in ITS
   • Key Features of ITS: Curriculum Design, Assessment, and Feedback
   • Case Studies: ITS in K-12, Higher Education, and Special Education

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Part II: AI Technologies and Tools for Education

4. Machine Learning in Education

   • Overview of Machine Learning Techniques for Educational Applications
   • Predictive Analytics and Data-Driven Decision Making
   • AI for Personalized Learning Pathways and Content Recommendation
   • Challenges in Data Privacy and Ethical Considerations
   • Case Study: Machine Learning Applications in Online Learning Platforms

5. Natural Language Processing and AI for Language Learning

   • Applications of NLP in Language Learning Tools
   • AI in Automatic Essay Scoring and Text Analysis
   • Speech Recognition and Virtual Tutors for Language Education
   • Case Study: AI Tools for Second Language Acquisition

6. AI in Assessment and Evaluation

   • AI for Formative and Summative Assessments
   • Automated Grading Systems and Rubrics
   • AI-Based Feedback Systems for Learner Performance
   • Ethics and Challenges in AI-Driven Assessment

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Part III: Applications of AI in Education

7. AI in Collaborative and Social Learning

   • The Role of AI in Collaborative Learning Environments
   • Socially Intelligent Tutors and Peer Learning Support
   • AI for Group Work, Discussions, and Cooperative Problem Solving
   • Case Study: AI-Based Collaborative Platforms for Remote Learning

8. AI for Learning Management Systems (LMS)

   • Enhancing LMS with AI for Personalized Learning
   • Adaptive Content Delivery and Learner Analytics
   • Integrating AI with Existing LMS Platforms
   • Case Study: AI-Based Features in Popular LMS Platforms

9. Robotics and AI in Classroom Settings

   • Social Robots as Educational Tools
   • AI for Interactive Learning Experiences
   • Robots for Engaging Young Learners and Special Education
   • Case Study: Robotics for STEM Education

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Part IV: Challenges and Future Directions

10. Ethical and Social Implications of AI in Education

    • Privacy, Security, and Data Ethics in Educational AI
    • Bias in AI Systems and Its Impact on Learning Outcomes
    • Equity and Access to AI-Powered Learning Technologies
    • Teacher-Student Interaction in AI-Enhanced Classrooms

11. The Future of AI in Education

    • Emerging Trends in AI Technologies for Education
    • The Role of AI in Lifelong Learning and Continuing Education
    • AI and the Evolution of Educational Institutions
    • Preparing Educators for AI Integration in Classrooms
    • Global Perspectives: AI Adoption in Different Educational Systems

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