An Institutional Repository (IR) is a digital service that collects, preserves, and distributes digital material. It serves as the home for the intellectual output of MUT academic communities, and will ultimately include digital dissertations, faculty publications, digital special collections, open access publications, open educational resources and much more.
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Scaling Robotics Education: A Systematic Review of Technologies, Frameworks, and Equity Dimensions
(International Journal of Computer Applications Technology and Research, 2025)Robotics education is increasingly essential for preparing learners with skills in STEM, programming, and artificial intelligence. Yet, scaling such education equitably remains a global challenge. This study systematically ... -
Integrating Mobile STEM Labs and Digital Technologies to Enhance STEM Education in Marginalized Regions of Kenya: A Systematic Literature Review
(International Journal of Computer Applications Technology and Research, 2025)This systematic literature review explores the integration of mobile STEM labs and digital technologies including artificial intelligence (AI), robotics and e-learning platforms as tools for enhancing STEM education in ... -
Integrating Artificial Intelligence in Open, Distance, and e-Learning (ODeL): A Systematic Literature Review
(International Journal of Computer Applications Technology and Research, 2025)Artificial Intelligence (AI) is increasingly transforming Open, Distance, and e-Learning (ODeL) by enhancing personalization, automating assessments, and enabling immersive learning environments. This study employs a ... -
A Comparative Analysis Of Class Imbalance Handling Techniques For Deep Models In The Detection Of Anomalies In Energy Consumption
(International Journal of Artificial Intelligence and Applications (IJAIA), 2024)Detecting anomalies in energy consumption is critical for efficient energy management, fault detection, and sustainability. However, the challenge of class imbalance, where normal consumption data vastly outweighs anomalous ... -
Systematic Review Of Models Used To Handle Class Imbalance In Anomaly Detection For Energy Consumption
(International Journal of Artificial Intelligence and Applications (IJAIA), 2024)The widespread integration of Smart technologies into energy consumption systems has brought about a transformative shift in monitoring and managing electricity usage. The imbalanced nature of anomaly data often results ...
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