LEARNING ANALYTICS, MOTIVATION, AND ACADEMIC PARTICIPATION IN HIGHER EDUCATION
DOI:
https://doi.org/10.71146/kjmr945Keywords:
Learning analytics, student motivation, academic participation, higher education, public universities, student engagementAbstract
This study examined the relationship of learning analytics with students’ motivation and academic participation in higher education. The study was quantitative in nature and employed a correlational research design. The population consisted of university teachers working in public sector universities of Punjab, Pakistan. A sample of 395 university teachers was selected to collect data through a structured questionnaire measuring learning analytics, students’ motivation, and academic participation. The questionnaire covered key dimensions of learning analytics, including digital tools and dashboard integration, assessment rubrics, institutional vision, and institutional policy challenges. Data were analysed through descriptive statistics, Pearson correlation, and regression analysis. The findings revealed a significant positive relationship between learning analytics and students’ motivation. Similarly, learning analytics was significantly associated with academic participation. Regression results further indicated that learning analytics significantly predicted both students’ motivation and academic participation. These findings suggest that the effective use of learning analytics can support data-informed teaching, timely feedback, academic monitoring, and student engagement in higher education. The study concludes that learning analytics should not be treated merely as a technological or administrative tool; rather, it should be integrated as a pedagogical practice that supports motivation and participation. The study has important implications for university teachers, academic administrators, and policymakers seeking to improve student-centred learning through evidence-based educational practices.
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Copyright (c) 2026 Salma Waheed, Dr. Muhammad Tahir Khan Farooqi (Author)
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