2021/07/29 by Ajay Kulkarni, Kulkarni, Ajay
Computer Science · Psychology · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Educational Games and Gamification #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Online Learning and Analytics #Software System Performance and Reliability #cs.AI #cs.CY
paper · pdf · doi:10.48550/arxiv.2107.14414
Published in the Thirteenth International Conference on Educational Data Mining (EDM 2020)
openalex publication_date 2021/07/29 · arxiv created 2021/07/30 · arxiv updated 2021/08/02 · openalex created_date 2021/08/16 · openalex updated_date 2026/07/28
The objectives of this ongoing research are to build Real-Time AI-Powered Educational Dashboard (RAED) as a decision support tool for instructors, and to measure its impact on them while making decisions. Current developments in AI can be combined with the educational dashboards to make them AI-Powered. Thus, AI can help in providing recommendations based on the students' performances. AI-Powered educational dashboards can also assist instructors in tracking real-time student activities. In this ongoing research, our aim is to develop the AI component as well as improve the existing design component of the RAED. Further, we will conduct experiments to study its impact on instructors, and understand how much they trust RAED to guide them while making decisions. This paper elaborates on the ongoing research and future direction.