Proceedings of International Conference on Applied Innovation in IT  ·  2026/07/22  ·  Vol. 14  ·  Issue 4  ·  pp. 1659–1666
Multi-Institutional Evaluation of an Online English Language Platform: Learning Analytics Evidence from Kazakhstan
Sholpan Torgaeva, Yerbol Suleimenov and Abdurakhim Nasirov
The rapid development of digital technologies has significantly transformed English language education at the tertiary level. This study evaluates the deployment of the EasyEnglish e-learning platform (2023-2025) in Kazakhstan by analysing usage data from 2.906 students across multiple universities. We examined student engagement, course completion, and performance outcomes. Key variables include registration rates, access rates, course completion status (defined as Passed vs. Not Passed vs. Not Accessed), and final score distributions in standardized bands (0, 20-69, 70-100). We describe the platform’s technical architecture, scoring algorithm, and analytics dashboard, and present a reproducible data analytics pipeline. Statistical comparisons (chi-square tests, proportion tests with 95% confidence intervals) were conducted to compare institutional outcomes. Results show generally high performance but reveal significant inter-university differences: for example, one institution had much lower pass and high-score rates than others (p<0.01). We discuss factors influencing these differences and provide evidence-based recommendations for integrating digital tools into English language curricula.
E-Learning English Language Teaching Higher Education Blended Learning Digital Platforms Learning Analytics
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