Emotionally Intelligent Digital Learning
AI-Driven Pathways to Empathy and Resilience
Published on 11. May 2026
Book
Hardback
168 pages
978-1-80686-210-8 (ISBN)
Description
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. It's a vital resource for educators, developers, and researchers committed to creating psychologically sustainable educational environments.
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. It's a vital resource for educators, developers, and researchers committed to creating psychologically sustainable educational environments.
More details
Series
Language
English
Place of publication
Bingley
United Kingdom
Target group
Professional and scholarly
College/higher education
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 14 mm
Weight
406 gr
ISBN-13
978-1-80686-210-8 (9781806862108)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
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.
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.
Content
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
Chapter 4. Core Concepts and Supporting Technologies
Chapter 5. Digital Transformation and Ethical Challenges
Chapter 6. Research Methods and Case On-Ramps
Chapter 7. Affective Computing - Student Emotion Recognition
Chapter 8. Emotional Analysis of Learning Feedback Using Collaborative AI
Chapter 9. AI-based adaptive Learning Management
Chapter 10. AI-Based Interactive Self-Learning
Chapter 11. Positive Feedback Training for Emotional Intelligence Using Learning Records
Chapter 12. Self-Training Emotional Intelligence Through Social Networks
Chapter 13. AI-Enabled Empathy and Resilience for Elderly Care Education
Chapter 14. Privacy and Ethical Governance in Emotionally Intelligent Digital Learning
Chapter 15. Privacy-Preserving Technologies for Emotional AI in Education
Chapter 2. The Role of Emotional Intelligence in Learning
Chapter 3. AI and Education: Pathways of Integration
Chapter 4. Core Concepts and Supporting Technologies
Chapter 5. Digital Transformation and Ethical Challenges
Chapter 6. Research Methods and Case On-Ramps
Chapter 7. Affective Computing - Student Emotion Recognition
Chapter 8. Emotional Analysis of Learning Feedback Using Collaborative AI
Chapter 9. AI-based adaptive Learning Management
Chapter 10. AI-Based Interactive Self-Learning
Chapter 11. Positive Feedback Training for Emotional Intelligence Using Learning Records
Chapter 12. Self-Training Emotional Intelligence Through Social Networks
Chapter 13. AI-Enabled Empathy and Resilience for Elderly Care Education
Chapter 14. Privacy and Ethical Governance in Emotionally Intelligent Digital Learning
Chapter 15. Privacy-Preserving Technologies for Emotional AI in Education