Scopes
(The following topics include but are not limited to)
Theme 1: Smart Education
Basic Theory of Smart Education
Design of Intelligent Teaching System
Adaptive Learning and Personalized Teaching
Learn analytical techniques
Educational Data Mining
Educational Knowledge Graph
Online and blended learning modes
Virtual Reality and Education
Application of Artificial Intelligence in Education
Intelligent tutoring system
Educational robots
Gamified learning in education
Smart Classroom and Teaching Environment
Teacher's digital teaching ability
Cultivation of Students' Digital Literacy
Intelligent recommendation of educational resources
Intelligent evaluation of educational quality
Development of intelligent learning platform
Visualization of Educational Big Data
Smart Education Standards and Norms
Smart Education Policy and Planning
Ethics of Educational Technology
Topic 2: Mental Health
Basic Theory of Mental Health
Psychological Health Assessment and Measurement
Psychological Counseling Theory and Technology
Psychological therapy intervention methods
Adolescent mental health
Psychological Health of College Students
Workplace mental health
Elderly mental health
Family mental health
Community Psychological Services
Psychological Crisis Intervention
Identification and coping strategies for emotional disorders
Intervention for Anxiety and Depression
Post traumatic psychological intervention
Application of Positive Psychology
Mindfulness and Psychological Adjustment
Psychological Health Education
Big data analysis of mental health
Development of psychological assessment tools
Psychological Health Service Model
Psychological Health Policy
Topic 3: Big Data Mining
Basic Theory of Big Data Mining
Data preprocessing and cleaning
Data Exploration and Visualization
Association rules and sequence patterns
Cluster analysis and anomaly detection
Classification and predictive modeling
Text Mining and Sentiment Analysis
Social network data mining
Spatiotemporal data mining
Graph Data Mining
Deep Learning Data Mining
Big Data Platform and Architecture
Distributed Data Mining
Real time data stream mining
Recommendation System and Personalization
Data Privacy and Security
Application of Data Mining in Education
Application of Data Mining in Psychology
Application of Data Mining in Business
Application of Data Mining in Industry
Theme 1: Smart Education
Basic Theory of Smart Education
Design of Intelligent Teaching System
Adaptive Learning and Personalized Teaching
Learn analytical techniques
Educational Data Mining
Educational Knowledge Graph
Online and blended learning modes
Virtual Reality and Education
Application of Artificial Intelligence in Education
Intelligent tutoring system
Educational robots
Gamified learning in education
Smart Classroom and Teaching Environment
Teacher's digital teaching ability
Cultivation of Students' Digital Literacy
Intelligent recommendation of educational resources
Intelligent evaluation of educational quality
Development of intelligent learning platform
Visualization of Educational Big Data
Smart Education Standards and Norms
Smart Education Policy and Planning
Ethics of Educational Technology
Topic 2: Mental Health
Basic Theory of Mental Health
Psychological Health Assessment and Measurement
Psychological Counseling Theory and Technology
Psychological therapy intervention methods
Adolescent mental health
Psychological Health of College Students
Workplace mental health
Elderly mental health
Family mental health
Community Psychological Services
Psychological Crisis Intervention
Identification and coping strategies for emotional disorders
Intervention for Anxiety and Depression
Post traumatic psychological intervention
Application of Positive Psychology
Mindfulness and Psychological Adjustment
Psychological Health Education
Big data analysis of mental health
Development of psychological assessment tools
Psychological Health Service Model
Psychological Health Policy
Topic 3: Big Data Mining
Basic Theory of Big Data Mining
Data preprocessing and cleaning
Data Exploration and Visualization
Association rules and sequence patterns
Cluster analysis and anomaly detection
Classification and predictive modeling
Text Mining and Sentiment Analysis
Social network data mining
Spatiotemporal data mining
Graph Data Mining
Deep Learning Data Mining
Big Data Platform and Architecture
Distributed Data Mining
Real time data stream mining
Recommendation System and Personalization
Data Privacy and Security
Application of Data Mining in Education
Application of Data Mining in Psychology
Application of Data Mining in Business
Application of Data Mining in Industry
Important Dates/重要日期
- Submission Deadline: 2026.8.29
- Registration Deadline: 2026.9.09
- Conference Date: 2026.9.14
- Notification Date: About a week after the submission
Submission Portal/投稿方式
Mail Address: ei_article@163.com
If you have any question or need any assistance regarding the conference, please feel free to contact our conference specialists:
墨老师
+86-15680957221(微信同号)
2580953988
--
+86---(微信同号)
--

