Science and Research |
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SAR Journal |
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| ISSN 2619-9955 | eISSN 2619-9963 | Frequency:4/year | Peer Reviewed: Yes | UIKTEN Publisher | ![]() |
Sequential Explanatory Mixed Methods Approach to the Influence of Online Learning in Higher Education Based on Digital Technology Using Maxqda
Rayung Wulan, Sunarto Sunarto, Kholil Kholil
© 2025 Rayung Wulan, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International. (CC BY-NC 4.0).
Citation Information: SAR Journal. Volume 8, Issue 2, Pages 148-156, ISSN 2619-9955, https://doi.org/10.18421/SAR82-05, June 2025.
Received: 07 May 2025.
Revised: 16 June 2025.
Accepted: 23 June 2025.
Published: 27 June 2025.
Abstract:
This study reviews the implications of the shift in communication patterns on the effectiveness of learning that is usually done face-to-face, along with the outbreak of the COVID-19 pandemic, and the current learning pattern prioritizes digital technology. The approach in the study uses a mixed method. This study combines a quantitative approach with five variables using Smart PLS and a qualitative approach through in-depth interviews derived from the results of quantitative analysis with the implementation of Maxqda. Participants were 302 Informatics Engineering students from Unindra who experienced a transition in learning patterns during and after the COVID-19 pandemic. This study indicates that Compliance and Commitment in the use of digital technology show significant results. This mixed-approach study shows that the discipline and technology factors used by lecturers, students and online media admins contribute dominantly to the effectiveness of learning. This means that online learning is a scheduled discipline in the use of digital technology between lecturers, students and LMS admins.
Keywords – online learning, sequential explanatory, digital technology, Maxqda