Research Article
Adoption of Generative AI and Learning Analytics for Personalized Learning in Nigerian Higher Education: Effects on Student Engagement, Learning Outcomes, and Academic Integrity
Ayonote Williams Elenode*
Issue:
Volume 11, Issue 1, February 2026
Pages:
1-5
Received:
28 October 2025
Accepted:
20 December 2025
Published:
16 January 2026
Abstract: This study examines the integration of generative artificial intelligence (GenAI) and learning analytics (LA) in fostering personalized learning within Nigerian higher education institutions. Specifically, it explores how these emerging technologies influence student engagement, academic performance, and perceptions of academic integrity in digitally mediated learning environments. A mixed-method research design was adopted, involving 420 undergraduate students and 60 academic staff drawn from three Nigerian universities. Quantitative data were collected through structured questionnaires assessing GenAI usage patterns, learning analytics engagement, levels of digital literacy, and integrity perceptions, while qualitative insights were obtained from semi-structured interviews with academic staff and information and communication technology (ICT) administrators. The findings reveal that 64% of respondents actively use GenAI tools such as ChatGPT and Gemini to support learning activities, while 58% regularly access learning analytics dashboards for performance monitoring and feedback. Regression analysis indicates that GenAI-assisted learning and engagement with learning analytics jointly predict improved academic performance (β = 0.36, p < 0.01) and higher levels of student engagement (β = 0.42, p < 0.001). However, the study also finds that unregulated use of GenAI tools is positively associated with increased concerns about plagiarism and academic misconduct (r = 0.31, p < 0.05). The study concludes that the pedagogically guided integration of GenAI and learning analytics can significantly enhance personalized learning experiences in Nigerian higher education. Nevertheless, this potential can only be realized through the development of robust governance frameworks that emphasize ethical use, digital literacy, academic integrity, and data privacy. The study therefore recommends targeted capacity-building for educators, the establishment of transparent institutional AI policies, and continuous evaluation of the pedagogical impact of GenAI technologies.
Abstract: This study examines the integration of generative artificial intelligence (GenAI) and learning analytics (LA) in fostering personalized learning within Nigerian higher education institutions. Specifically, it explores how these emerging technologies influence student engagement, academic performance, and perceptions of academic integrity in digital...
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Research Article
Development of Rational Design Parameters for the Traction Drive and Motor-Wheel of an Electric Vehicle
Tukhtabayev Mirzokhid*,
Valiev Bobur
Issue:
Volume 11, Issue 1, February 2026
Pages:
6-11
Received:
11 December 2025
Accepted:
26 December 2025
Published:
20 January 2026
DOI:
10.11648/j.eas.20261101.12
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Abstract: The article analyzes main directions of development of soft magnetic powder materials. It includes research on certain materials developed using soft magnetic materials in production of electric motors. The elimination of known shortcomings in production of electric motors, acceleration of its assembly process is studied. The production of magnetic materials with low energy loss during magnetization reversal is one of the urgent problems of industry today. Despite the fact that research and development of such materials has been carried out since the beginning of the last century, studying the mechanism of magnetization reversal and improving the quality of these materials is still relevant today. This is due to the fact that soft magnetic materials are widely used in various technical devices (electric generators, electric motors, measuring instruments, inductors, etc.), the quality level of which is determined by the properties of modern varieties of such materials. The purpose of the study. Acceleration of electric motor development processes, increase in economic efficiency and study of the performance of electric motors. Results of the study. During the period of use of the materials, small dimensions of the product are obtained, in which, when the directional effect of the magnetic fluxes is changed, a reverse change in magnetization is achieved throughout the thickness of the part.
Abstract: The article analyzes main directions of development of soft magnetic powder materials. It includes research on certain materials developed using soft magnetic materials in production of electric motors. The elimination of known shortcomings in production of electric motors, acceleration of its assembly process is studied. The production of magnetic...
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