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All Journal EMITTER International Journal of Engineering Technology
Sengupta, Subhabrata
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Computer Science & IT

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A Deep Dive into a Groundbreaking Approach to Machine Learning-Powered E-Learning Sengupta, Subhabrata; Das, Rupayan; Chakrabarti, Satyajit
EMITTER International Journal of Engineering Technology Vol 12 No 2 (2024)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v12i2.855

Abstract

Information retrieval aims to find the most important data for specific queries. The challenge is retrieving relevant data efficiently due to the large search area. Existing solutions lead to unnecessary processing costs. Additionally, identifying the main focus of the query is crucial for targeted retrieval. Current methods struggle to address these issues effectively. To overcome these challenges, we have proposed a goal-question-indicator (GQI) approach for personalized learning inquiry (PLA). This approach allows for efficient retrieval of variable-sized data with reduced processing requirements. We have also presented the open learning analytics platform's (Open-LAP) pointer motor segment, which helps end users specify goals, generates discussion topics, and provides self-characterizing pointers.
Co-Authors Chakrabarti, Satyajit Das, Rupayan