Manuscript Summary Submission Deadline 22 December 2023
Manuscript Submission Deadline 22 April 2024
The Research Topic we present seeks articles that focus on the ability of AI to identify and understand students’ emotions and then use this information to personalize the teaching process. By analyzing the emotional data collected, AI can provide instructional strategies tailored to the individual needs of each student. Adapting classroom methodology to detect emotions not only improves the student learning experience, but also fosters greater engagement, motivation and emotional well-being. By dynamically adjusting content, learning speed, presentation style and student interactions, AI-based methodology can help optimize knowledge retention and promote deeper, more meaningful learning.
We invite contributions on, but not limited to, the following topics:
1. Development of AI algorithms for emotion detection and recognition in educational settings.
2. Implementation of AI-based intelligent tutoring systems that adapt to students’ emotions and needs.
3. Use of machine learning and natural language processing techniques to improve emotional feedback in education.
4. Design of AI-based user interfaces for emotionally aware educational environments.
5. Use of AI algorithms to personalize learning materials and resources according to the emotional state of learners.
6. Integration of facial recognition techniques, voice analysis, postural control, head movement, biometric data, eye movement, among others to capture and analyze students’ emotions in real-time.
7. Implementation of AI-based recommender systems to provide educational activities and resources tailored to students’ emotions.
8. Use of AI techniques to analyze large emotional datasets and discover patterns and trends in emotional learning.
9. Application of AI in the assessment and monitoring of students’ emotions over time and their influence on academic performance.
10. Development of conversational AI agents to provide emotional and motivational support to students in educational settings.
11. Use of AI techniques to detect and prevent stress and emotional exhaustion in students.
12. Use of AI and virtual reality to create immersive and emotionally enriching learning environments.
13. Ethics and accountability in the implementation of AI in education.
Keywords: Emotion-Aware Education, Artificial Intelligence, Learning, Virtual Reality
