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Vol.13, No.4, November 2024. ISSN: 2217-8309 eISSN: 2217-8333
TEM Journal
TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS Association for Information Communication Technology Education and Science |
Analyzing Learning Persistence Determinants in Virtual Learning Environments Using Mixed Methodology
Maryam Abdulsalam Ali, Siti Fadzilah Mat Noor, Suhaila Zainudin, Noraidah Sahari Ashaari
© 2024 Maryam Abdulsalam Ali, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)
Citation Information: TEM Journal. Volume 13, Issue 4, Pages 3468-3478, ISSN 2217-8309, DOI: 10.18421/TEM134-79, November 2024.
Received: 26 May 2024. Revised: 22 September 2024.
Abstract:
This research analyzes the impact of various factors and their relatable aspects, such as contextual (academic), external (environmental), and internal (personal) of students' learning persistence in virtual environments as critical aspects of online learning advancement and academic success. Utilizing a mixed methodology approach that combines qualitative and quantitative methods, this study leverages an educational dataset from Harvard and MIT, employing a multinomial logistic regression (MLR) model to detect the correlation among diverse learning factors and online persistence classes with the triple class label (positive persistence, negative persistence, and absence of persistence). The classification accuracy achieved in the MLR model reached 96%. Supporting evidence from online surveys and expert interviews further underscores the combined influence of academic, demographic, and environmental factors on learning persistence. The quantitative analysis highlights the significant influence of contextual factors, particularly achievements and activities, on learning persistence, while internal factors like gender and birth year have minimal impact. Qualitative analysis reveals a mix of internal, external, and contextual factors affecting persistence, including academic support, peer communication, and family support. Expert interviews confirm the importance of multidimensional features and highlight challenges ranging from technological access to varied learning styles. Suggestions for enhancing persistence include implementing supportive online tools and intelligent tutoring systems. This research's contribution lies in its holistic examination of online persistence-influencing factors through a mixed methodology lens, facilitating the identification of learning persistence; it aims to enhance support mechanisms for students in virtual learning environments, potentially improving educational outcomes and online learning experience. This innovative approach underscores the importance of understanding and addressing the various influencers of learning persistence to foster more successful outcomes in digital education contexts.
Keywords – Learning persistence, virtual learning environments, mixed methodology approach, digital education contexts. |
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