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

Authors: Ajay Kulkarni

Published in the Thirteenth International Conference on Educational Data Mining (EDM 2020)
License: CC BY 4.0

Results of the summarizing process for the arXiv paper: 2107.14414v1

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  • Key points
  • Layman's Summary
  • Blog article
The ongoing research aims to develop a Real-Time AI-Powered Educational Dashboard (RAED) as a decision support tool for instructors and measure its impact on their decision-making. The proposed architecture of the RAED includes combining current developments in AI with educational dashboards to provide recommendations based on student performance and assist instructors in tracking real-time student activities. The objective is to develop the AI component and improve the existing design component of the RAED, followed by conducting experiments to study its impact on instructors' decision-making processes. The paper also discusses related work in the field of AI-powered educational dashboards and how they can guide instructors. The author, Ajay Kulkarni from George Mason University, emphasizes that this research will help understand how much trust instructors have in using RAED for guidance while making decisions. This research has potential to enhance teaching practices and improve student outcomes through the use of AI-powered educational dashboards. Additionally, it will provide insights into how much trust instructors have when using such tools for guidance while making decisions. Overall, this ongoing research has significant potential to improve teaching practices and student outcomes through the use of AI-powered educational dashboards.
AI-generated keywords: AI-Powered Educational Dashboard Decision Support Real-Time Instructor

AI-generated Key Points

  • Ongoing research to develop a Real-Time AI-Powered Educational Dashboard (RAED) as a decision support tool for instructors
  • Proposed architecture of the RAED includes combining current developments in AI with educational dashboards
  • Objective is to develop the AI component and improve the existing design component of the RAED
  • Conducting experiments to study its impact on instructors' decision-making processes
  • Related work in the field of AI-powered educational dashboards and how they can guide instructors discussed
  • Research will help understand how much trust instructors have in using RAED for guidance while making decisions
  • Potential to enhance teaching practices and improve student outcomes through the use of AI-powered educational dashboards.
Also access our AI generated: Comprehensive summary, Lay summary, Blog-like article; or ask questions about this paper to our AI assistant.

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.

Submitted to arXiv on 30 Jul. 2021

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