Faculty of Education

Permanent URI for this collectionhttps://repository.tmu.ac.ke/handle/123456789/173

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Start date: 2020Subject: search.filters.subject.Online Learning

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    Exploring the Potential of Immersive Technologies to Enhance Online Learning Experiences and Engagement: A Systematic Literature Review
    (International Journal of Innovative Science and Research Technology, 2024-09) Salmon Oliech Owidi* 1; Kelvin K. Omieno2; Joanne Nabwire Lyanda3
    The purpose of this research is to find out how immersive technology can improve online learning and student engagement. The study investigates howimmersive technologies, for example augmented reality (AR) and virtual reality (VR) can be incorporated into online learning environment using a case study methodology. The paper explores how immersive technologies affect online course satisfaction among learners generally through learning results, and student involvement. By conducting a comprehensive literature review, the paper synthesizes existing knowledge and identifies gaps in the literature. In the systematic review in which exclusion and inclusion criteria was used to identify the suitable articles to be analyzed based on the study questions. The outcome of the study revealed that immersive technologies significantly boost learner engagement, improving the student learning outcomes thereby increasing their overall course satisfaction with online courses. However, it also identifies challenges and gaps in current research, emphasizing the need for further exploration. Recommendations for educators and policymakers include investing in immersive technologies learning tools, providing adequate training, fostering collaboration, and addressing issues of access and affordability. This paper sough to enhance the comprehension of how immersive technologies can be strategically leveraged to revolutionize online learning environments. By exploring the integration of advanced digital tools and techniques, the study uncovered various ways in which virtual and augmented reality can significantly improve the effectiveness and engagement of online learning. Ultimately, the findings provide valuable insights that can guide educators, institutions, and educational technology developers in optimizing online learning environments through the thoughtful application of immersive technology
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    Towards Integration of AI Driven Predictive Model in identifying At-Risk Students in Online Learning Platforms
    (African Journal of Computing, Data Science and Informatics (AJCDS, 2025-06) 1Dr. Salmon Oliech Owidi; 2Prof. Elyjoy M. Micheni
    The rapid growth of online learning environments presents both opportunities and challenges in student engagement and performance. Predictive modeling using artificial intelligence (AI) has emerged as a promising tool to identify atrisk students and personalize learning experiences. However, the influence ofvarious factors, such as engagement metrics, interventions, and demographicvariables, on student success in online education remains underexplored. This study aims to examine the impact of engagement metrics and targeted interventions, as well as explore the role of demographic variables in predictive modeling within online learning environments. This study employed a simple random sampling method, collecting data from 200 students enrolled in an online learning environment. Data on engagement, interventions, demographic variables, and academic performance were analyzed using descriptive and inferential statistical methods. The findings highlight the importance of engagement metrics in predicting academic success and the effectiveness of personalized interventions such as feedback and tutoring. Integrating personalized interventions can further support at-risk students, creating a more inclusive and effective educational experience. This study underscores the need for continuous development of AI models to better serve diverse student populations and improve educational outcomes.