Description

Book Synopsis

Introduction to Artificial Intelligence in Education.- Instructional design for integrating AI into higher education.- AI and Competency-Based Education: Moving Beyond Traditional Approaches.- AI and Accessibility: Making Education More Inclusive.- Intelligent Tutoring Systems: Providing Personalized Support to Students.- Smart Content: Creating Interactive and Dynamic Learning Materials.- AI and Gamification: Adding Fun to Learning.- Natural Language Processing in Education: Enhancing Communication and Interaction.- Collaborative learning by using AI in Education.- Self-directed learning and problem-solving-based learning by using Ai in education.- Personalized Learning with AI: Adapting to the Needs of Each Student.- Self-directed learning and problem-solving-based learning by using Ai in education.- AI and Workforce Development: Preparing Students for the Future of Work.- Best Practices for Implementing AI in Higher Education: Lessons Learned and Future Directions.- Virtual and Augmented Reality in Education: A New Dimension of Learning.- The Future of AI in Higher Education: Trends and Predictions.- AI-Powered Adaptive Assessment: Measuring Learning More Accurately.- Chatbots in Higher Education: Supporting Student Engagement and Retention.- AI-Enhanced Teacher Support: Empowering Educators to Achieve More.- AI-Powered Student Support Services: Creating a More Responsive Campus Environment.- AI-Driven Learning Analytics.- Ethics and Privacy in AI-Enabled Education: Balancing Opportunities and Risks.- Ethical Guidelines for Artificial Intelligence-Based Learning.- Equity and Artificial Intelligence in Education.- Practical implications of different approaches to AI ethics in education.

A Practical Guide to Artificial Intelligence in

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    A Hardback by Mageswaran Sanmugam

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      Publisher: Springer
      Publication Date: Publication Date: 4/12/2025
      ISBN13: 9783031568473, 978-3031568473
      ISBN10: 3031568478
      Also in:
      Educational equipment and technology, computer-aided learning (CAL)

      Description

      Book Synopsis

      Introduction to Artificial Intelligence in Education.- Instructional design for integrating AI into higher education.- AI and Competency-Based Education: Moving Beyond Traditional Approaches.- AI and Accessibility: Making Education More Inclusive.- Intelligent Tutoring Systems: Providing Personalized Support to Students.- Smart Content: Creating Interactive and Dynamic Learning Materials.- AI and Gamification: Adding Fun to Learning.- Natural Language Processing in Education: Enhancing Communication and Interaction.- Collaborative learning by using AI in Education.- Self-directed learning and problem-solving-based learning by using Ai in education.- Personalized Learning with AI: Adapting to the Needs of Each Student.- Self-directed learning and problem-solving-based learning by using Ai in education.- AI and Workforce Development: Preparing Students for the Future of Work.- Best Practices for Implementing AI in Higher Education: Lessons Learned and Future Directions.- Virtual and Augmented Reality in Education: A New Dimension of Learning.- The Future of AI in Higher Education: Trends and Predictions.- AI-Powered Adaptive Assessment: Measuring Learning More Accurately.- Chatbots in Higher Education: Supporting Student Engagement and Retention.- AI-Enhanced Teacher Support: Empowering Educators to Achieve More.- AI-Powered Student Support Services: Creating a More Responsive Campus Environment.- AI-Driven Learning Analytics.- Ethics and Privacy in AI-Enabled Education: Balancing Opportunities and Risks.- Ethical Guidelines for Artificial Intelligence-Based Learning.- Equity and Artificial Intelligence in Education.- Practical implications of different approaches to AI ethics in education.

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