Evaluating User Interfaces in E-Learning Satisfaction Using EUCS Method

Authors

  • Cindy Angrayni Mikroskil University, Indonesia
  • Erwin Setiawan Panjaitan Mikroskil University, Indonesia

DOI:

https://doi.org/10.47709/brilliance.v5i1.6302

Abstract

This study investigates how User Interface elements affect student satisfaction with E?Learning platforms among junior high school, senior high school, and vocational high school students in Medan by adopting the End User Computing Satisfaction model augmented with a dedicated User Interface quality construct. It examines Content, Accuracy, Format, Ease of Use, Timeliness, and overall Interface Perception as predictors of End User Computing Satisfaction. Data were gathered via questionnaires administered to students actively using E?Learning applications across these three school levels in Medan and Structural Equation Modeling was employed to explore the complex interrelationships among these constructs. Results reveal that Accuracy, Format, Ease of Use, and Timeliness each exert positive and significant influences on perceived Interface quality, with Ease of Use contributing most strongly, while Content presentation alone does not significantly affect perceptions. Furthermore, perceived Interface quality demonstrates a very strong and significant impact on End User Computing Satisfaction. These findings indicate that in the context of Medan’s junior high school, senior high school, and vocational high school digital learning environments, intuitive usability, clear visual formatting, information accuracy, and prompt delivery are critical drivers of student satisfaction. This study underscores the need for E?Learning developers and educational policymakers to prioritize intuitive, reliable, and responsive interface designs and recommends that future research broaden sample coverage to additional regions, compare multiple E?Learning platforms, and adopt longitudinal designs to capture how Interface element effects on student satisfaction evolve over time.

References

Al-Hail, M., Zguir, M. F., & Koç, M. (2023). University students’ and educators’ perceptions on the use of digital and social media platforms: A sentiment analysis and a multi-country review. IScience, 26(8), 107322. doi:10.1016/j.isci.2023.107322

Arifin, S. R., Zaidin, M. A., Pratomo, R. A., Amirah, A., Angreni, D. S., & Wulandari, D. R. (2021). Students’ Satisfaction of Learning Management System: A Study of Dipa Makassar University, Indonesia. In 3rd International Conference on Cybernetics and Intelligent Systems, ICORIS 2021. Institute of Electrical and Electronics Engineers Inc. doi:10.1109/ICORIS52787.2021.9649511

de Souza Rodrigues, M. A., Chimenti, P., & Nogueira, A. R. R. (2021). An exploration of eLearning adoption in the educational ecosystem. Education and Information Technologies, 26(1), 585–615. doi:10.1007/s10639-020-10276-3

Deng, J., Liu, J., Yang, T., & Duan, C. (2022). Behavioural and economic impacts of end-user computing satisfaction: Innovative work behaviour and job performance of employees. Computers in Human Behavior, 136, 107367. doi:10.1016/j.chb.2022.107367

Durach, C. F., Kembro, J. H., & Wieland, A. (2021). How to advance theory through literature reviews in logistics and supply chain management. International Journal of Physical Distribution & Logistics Management, 51(10), 1090–1107. doi:10.1108/IJPDLM-11-2020-0381

Fadli Robby, R., & Mauritsius, T. (2023). LEVEL OF STUDENT SATISFACTION WITH NEW BINUSMAYA: MEASURING AND ANALYZING USING THE END USER COMPUTING SATISFACTION (EUCS) FRAMEWORK. Journal of Theoretical and Applied Information Technology, 15(15). Retrieved from www.jatit.org

Felix, A., & Rembulan, G. D. (2023). Analysis of Key Factors for Improved Customer Experience, Engagement, and Loyalty in the E-Commerce Industry in Indonesia. Aptisi Transactions on Technopreneurship (ATT), 5(2sp), 196–208. doi:10.34306/att.v5i2sp.350

Gunawan, R., Anthony, G., Vendly, & Anggreainy, M. S. (2021). The Effect of Design User Interface (UI) E-Commerce on User Experience (UX). In 2021 6th International Conference on New Media Studies (CONMEDIA) (pp. 95–98). IEEE. doi:10.1109/CONMEDIA53104.2021.9617199

har, M., Agustang, A., Adam, A., & Upe, A. (2021). Online Learning and Distortion of Character Education in the Covid-19 Pandemic Era. Webology, 18(Special Issue 04), 566–580. doi:10.14704/WEB/V18SI04/WEB18149

Jie, G. (2021). A Study on the Differences in Speech Interaction Behavior between Teacher and Student in High School Classroom Based on improved Flanders Interaction Analysis System. In 2021 2nd International Conference on Big Data and Informatization Education (ICBDIE) (pp. 527–530). IEEE. doi:10.1109/ICBDIE52740.2021.00126

Kala, D., Shanker Chaubey, D., Kumar Meet, R., & Samed Al-Adwan, A. (2024). Impact of User Satisfaction With E-Government Services on Continuance Use Intention and Citizen Trust Using TAM-ISSM Framework. Interdisciplinary Journal of Information, Knowledge, and Management, 19, 001. doi:10.28945/5248

Maheshwari, G. (2021). Factors affecting students’ intentions to undertake online learning: an empirical study in Vietnam. Education and Information Technologies, 26(6), 6629–6649. doi:10.1007/s10639-021-10465-8

Ponsiglione, A. M., Amato, F., Cozzolino, S., Russo, G., Romano, M., & Improta, G. (2022). A Hybrid Analytic Hierarchy Process and Likert Scale Approach for the Quality Assessment of Medical Education Programs. Mathematics, 10(9), 1426. doi:10.3390/math10091426

Purwanto, & Deden Hedin, P. B. (2020). Measurement of user satisfaction for web-base academic information system using end-user computing satisfaction method. IOP Conference Series: Materials Science and Engineering, 909(1), 012044. doi:10.1088/1757-899X/909/1/012044

Syafi’ah, N., Nambo, H., & Tahyudin, I. (2021). User Satisfaction Analysis Model of Google Classroom for Online Lectures in COVID-19 Pandemic. In 2021 4th International Conference on Information and Communications Technology (ICOIACT) (pp. 35–40). IEEE. doi:10.1109/ICOIACT53268.2021.9564008

Tiong, K. Y., & Palmqvist, C.-W. (2023). Quantitative methods for train delay propagation research. Transportation Research Procedia, 72, 80–86. doi:10.1016/j.trpro.2023.11.326

Wijaya, F., Solikhatin, S. A., & Tahyudin, cImam. (2021). Analysis of End-user Satisfaction of Zoom Application for Online Lectures. In 2021 3rd East Indonesia Conference on Computer and Information Technology (EIConCIT) (pp. 348–353). IEEE. doi:10.1109/EIConCIT50028.2021.9431903

Zuo, M., Liu, H., Hu, Y., Zhang, Y., & Luo, H. (2021). Differences in learning engagement, academic workload, and technology use during online learning: a comparison among primary, middle, and high school students. In 2021 IEEE International Conference on Engineering, Technology & Education (TALE) (pp. 774–779). IEEE. doi:10.1109/TALE52509.2021.9678544

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Published

2025-07-11

How to Cite

Angrayni, C., & Panjaitan, E. S. (2025). Evaluating User Interfaces in E-Learning Satisfaction Using EUCS Method. Brilliance: Research of Artificial Intelligence, 5(1), 343–354. https://doi.org/10.47709/brilliance.v5i1.6302