International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 8 Issue 2
March-April 2026
Indexing Partners
Intelligent Learning Analytics for Monitoring Student Progress in Further Education Mathematics
| Author(s) | Samira Binteh Hussain |
|---|---|
| Country | United Kingdom |
| Abstract | Intelligent Learning Analytics (ILA) is increasingly transforming contemporary education by enabling real-time monitoring of learner progress and supporting personalised learning pathways. By utilising artificial intelligence, ILA systems diagnose learner misconceptions, identify strengths and weaknesses, and provide targeted interventions. This study investigates the impact of Intelligent Learning Analytics on learner progress in a Further Education (FE) mathematics context using progress check assessments. A descriptive quantitative research design was employed. Progress Check 1 (PC1) and Progress Check 2 (PC2) grades from 40 learners were analysed, with 35 valid paired datasets included. Descriptive statistics and a paired-samples t-test were used to examine performance changes. Findings revealed an increase in mean grades from PC1 to PC2, with nearly half of learners demonstrating improvement. Low-ability learners showed the most substantial gains. Although statistical significance was not achieved at the 0.05 level, results indicate a positive learning trend. The study also highlights limitations of current ILA systems, including excessive micro-tasks and limited teacher control over diagnostic assessments. Overall, ILA demonstrates strong potential to enhance learner outcomes, particularly when integrated with blended learning models such as station rotation. |
| Keywords | Intelligent Learning Analytics, Blended Learning, Station Rotation Model, Mathematics Education, STEM, Scaffolding, CENTURY. |
| Field | Mathematics |
| Published In | Volume 7, Issue 6, November-December 2025 |
| Published On | 2025-12-30 |
| DOI | https://doi.org/10.36948/ijfmr.2025.v07i06.64995 |
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E-ISSN 2582-2160
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