Towards Understanding the Impact of Real-Time AI-Powered Educational Dashboards (RAED) on Providing Guidance to Instructors
Ajay Kulkarni

TL;DR
This ongoing research aims to develop and evaluate a real-time AI-powered educational dashboard (RAED) to assist instructors with decision-making by providing real-time student performance insights and recommendations.
Contribution
The paper introduces the concept of RAED, combining AI with educational dashboards, and discusses its design, development, and planned impact assessment on instructors' decision-making.
Findings
Initial design of RAED completed
Plans for impact measurement and trust assessment underway
Potential to enhance instructor decision support
Abstract
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.
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Taxonomy
TopicsOnline Learning and Analytics · Intelligent Tutoring Systems and Adaptive Learning · Software System Performance and Reliability
