Usability of Learning Analytics (LA) in E-Learning Platforms - Qualitative Thematic Analysis of Learner Feedback
Year: 2025
Type: article
Abstract: This study presents a qualitative thematic analysis of student feedback on the usability of Learning Analytics (LA) feature within an e-learning platform. Drawing from 399 open-ended responses, the analysis identifies key themes reflecting user satisfaction, challenges, and self-assessment practices. The findings reveal that ease of use, flexibility, and efficiency are highly valued, while internet connectivity, system performance, and content limitations pose significant barriers. Additionally, students employ grades tracking, progress monitoring, and feedback utilization to evaluate their academic strengths and weaknesses. The study offers insights into enhancing LA tools to better support learner engagement and outcomes
Author: Mohammed Swaleh Mohammed
Institution: Kibabii University
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W7091474446
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