Emotionally Intelligent Digital Learning explores how AI can transform digital education by supporting both academic success and student well-being. Instead of focusing solely on cognitive performance, this book introduces emotionally aware technologies that recognize student emotions in real time, offer personalized emotional support, and build mental resilience.
Through real-world case studies, ranging from virtual empathy training in nursing to tools that reveal emotional manipulation on social media, the authors explore how AI can foster emotional intelligence, empathy, and digital self-awareness.
Blending insights from psychology, computer science, and education, this work offers a practical framework for creating emotionally intelligent learning environments. Its a vital resource for educators, developers, and researchers committed to creating psychologically sustainable educational environments.
Chapter
1. Emotional Intelligence and the New Landscape of Education
Chapter
2. The Role of Emotional Intelligence in Learning
Chapter
3. AI and Education: Pathways of Integration
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4. Core Concepts and Supporting Technologies
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5. Digital Transformation and Ethical Challenges
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6. Research Methods and Case On-Ramps
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7. Affective Computing Student Emotion Recognition
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8. Emotional Analysis of Learning Feedback Using Collaborative AI
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9. AIbased adaptive Learning Management
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10. AI-Based Interactive Self-Learning
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11. Positive Feedback Training for Emotional Intelligence Using
Learning Records
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12. Self-Training Emotional Intelligence Through Social Networks
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13. AI-Enabled Empathy and Resilience for Elderly Care Education
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14. Privacy and Ethical Governance in Emotionally Intelligent Digital
Learning
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15. Privacy-Preserving Technologies for Emotional AI in Education
Chaofeng Zhang is an Assistant Professor with the Advanced Institute of Industrial Technology, Tokyo, Japan. From March 2017 to April 2017, he was a Visiting Scholar with Soochow University.
Hiroshi Hashimoto is a Professor at the School of Industrial Technology, Advanced Institute of Industrial Technology, Japan.
Caijuan Chen is a Postdoctoral Researcher (JSPS national program) at the National Institute of Informatics (NII), Tokyo, Japan.
Xu Zhang is an Assistant Professor at Suzhou City University, Suzhou, China.
Wenhao Yan is a PHD student and Researcher at Sophia University, Tokyo, Japan.
