International Conference on Ai-driven Student Success & Retention

Important dates

1. 30 Dec

   Abstract / full paper deadline

   In 45 days

2. 26–27 Jan

   Conference

   Tokyo, Japan

All deadlines are as published by the organizer. Check the official website for the time zone.

About this conference

International Conference On Ai-driven Student Success & Retention ICADSSR, organized by World Research Association for Education and Science, is a leading international conference that connects researchers, engineers, healthcare professionals, academicians, scientists, industry experts, and professionals from around the world. The conference provides a global platform to share groundbreaking research, discuss emerging developments, showcase innovative ideas, and build meaningful professional collaborations. By bringing together diverse academic and professional communities, International Conference On Ai-driven Student Success & Retention ICADSSR aims to promote knowledge exchange, interdisciplinary collaboration, innovation, and the advancement of research on a global scale.

Topics and scope

• AI-driven Student Success
• Student Retention Analytics
• AI-based Dropout Prediction
• Early Warning Systems
• Predictive Student Analytics
• Academic Risk Prediction
• Student Performance Prediction
• Learning Analytics
• Educational Data Mining
• Machine Learning in Education
• Deep Learning for Student Success
• Predictive Modeling
• Real-Time Risk Detection
• At-Risk Student Identification
• Student Engagement Analytics
• Attendance Analytics
• LMS Behavioral Analytics
• Academic Progress Monitoring
• Retention Forecasting
• Persistence Prediction
• Personalized Student Support
• AI-Powered Advising
• Intelligent Academic Advising
• AI Student Success Platforms
• Automated Intervention Recommendations
• Personalized Learning Interventions
• Adaptive Student Support
• Intelligent Tutoring Systems
• AI Learning Assistants
• Student Success Dashboards
• Early Intervention Strategies
• Proactive Student Support
• Academic Recovery Systems
• Personalized Feedback
• AI-Based Career Guidance
• Student Motivation Analytics
• Student Wellbeing Analytics
• Engagement Prediction
• Course Completion Prediction
• Graduation Prediction
• Stopout Prediction
• Re-enrollment Prediction
• Financial Risk Analytics
• Student Financial Support
• Socioeconomic Risk Prediction
• First-Year Student Success
• Online Student Retention
• Distance Learning Retention
• Blended Learning Success
• Higher Education Analytics
• AI in Student Advising
• AI and Academic Coaching
• Explainable AI for Advising
• Ethical Student Analytics
• Fairness in Risk Prediction
• Algorithmic Bias
• Student Data Privacy
• Responsible AI in Education
• Human-AI Collaboration
• Advisor-AI Collaboration
• AI Intervention Effectiveness
• Predictive Analytics Evaluation
• Longitudinal Student Analytics
• Multimodal Student Data
• Temporal Learning Analytics
• AI-Powered Retention Strategies
• Institutional Student Success
• Data-Driven Student Services
• AI and Inclusive Education
• Equity in Student Success
• AI for Underserved Learners
• Student Success in Online Education
• Generative AI for Student Support
• LLM-Based Advising
• AI Intervention Rationales
• AI-Powered Student Outreach
• Future of AI-driven Retention

Call for papers

Abstracts are due by 30 December 2026. Submission details are on the official website.