Learning Analytics Powered Teacher Facing Dashboard to Visualize, Analyze Students’ Academic Performance and give Key DL(Deep Learning) Supported Key Recommendations for Performance Improvement.

Author:

Deshpande K. V.1,Asbe Shubham1,Lugade Akanksha1,More Yash1,Bhalerao Dipali1,Partudkar Anuradha1

Affiliation:

1. JSPM’s Rajarshi Shahu college of engineering, Tathawade,Department of Computer Engineering,Pune,India

Publisher

IEEE

Reference48 articles.

1. The Effect of Students’ Perception of Teachers’ Emotional SupportonSchoolBurnoutDimensions: LongitudinalFindings;romano;IJEM,2021

2. Design principles for learning analytics information systems in higher education;nguyen;European Journal of Information Systems,2020

3. Connecting the dots: An exploratory study on learning analytics adoption factors, experience, and priorities

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. LTA (Learn to Analyze) - A Teacher-Centric Analytical Dashboard for Illustrating Students Academic Progress, Backed by Machine Learning for Informed Performance Enhancement Recommendations;2024 3rd International Conference for Innovation in Technology (INOCON);2024-03-01

2. Course recommendation system using Python and Streamlit;2023 6th International Conference on Recent Trends in Advance Computing (ICRTAC);2023-12-14

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