Invitation to Submit
제출 안내
The International Conference on AI and Data Science for Education Technology , organized by the Korean Society for Academic Advancement (KSAA), invites original and high-quality research contributions from researchers, academicians, and professionals across all disciplines. Submissions are accepted in the form of research papers, case studies, and review articles aligned with the conference themes and academic focus areas.
International Conference on AI and Data Science for Education Technology , 한국학술진흥학회(KSAA)가 주최하는 본 학술대회는 다양한 분야의 연구자, 학자 및 전문가들로부터 우수한 연구 논문을 모집합니다. 논문, 사례 연구 및 리뷰 논문 등 학술대회 주제에 부합하는 연구 결과를 제출할 수 있습니다.
Research Papers
연구 논문
Case Studies
사례 연구
Review Articles
리뷰 논문
Research Areas
연구 분야
Ai Applications In Personalized Learning Environments
Data Science For Student Performance Prediction
Machine Learning For Adaptive Learning Systems
Ai-driven Educational Content Recommendation
Data Privacy In Educational Technology
Ai For Enhancing Teacher-student Interactions
Predictive Analytics For Dropout Prevention
Ai In Assessment And Grading Automation
Data-driven Approaches To Curriculum Development
Ai For Improving Accessibility In Education
Machine Learning For Learning Analytics
Ai Applications In Lifelong Learning Initiatives
Data Visualization Techniques For Educational Data
Ai For Enhancing Collaborative Learning Experiences
Ethics In Ai-driven Educational Tools
Ai In Vocational Training And Skill Development
Data Science For Educational Equity Analysis
Ai For Optimizing Resource Allocation In Schools
Machine Learning For Language Learning Applications
Future Directions In Educational Ai Research
Review & Acceptance
심사 및 채택
All submissions will undergo a peer review process. Accepted papers may be presented at the conference and considered for further academic dissemination.
모든 제출 논문은 동료 심사 과정을 거치며, 채택된 논문은 학술대회 발표 및 추가 학술 확산의 기회를 갖게 됩니다.