Educational Service Quality in Postgraduate Distance Education: Evidence from Indonesia

Authors

  • Siti Julaeha Universitas Terbuka
  • Kristanti Ambar Puspitasari Universitas Terbuka
  • Maya Puspitasari Universitas Terbuka

DOI:

https://doi.org/10.57092/ijetz.v5i2.840

Keywords:

Educational service quality, Student learning experience, Open and distance learning, SERVQUAL, Postgraduate education

Abstract

The post-pandemic expansion of digital learning has intensified competition among open and distance learning (ODL) institutions, making educational service quality essential for enhancing student learning experiences. Despite extensive research on service quality in higher education, limited evidence explains how postgraduate students prioritise service improvements in blended ODL environments. This study identifies the educational service attributes that postgraduate students consider most important, evaluates institutional performance, and prioritises improvement areas at Universitas Terbuka (UT), Indonesia. A cross-sectional survey of 345 postgraduate students assessed 78 indicators across the five SERVQUAL dimensions. Data were analysed using descriptive statistics, importance performance gap analysis, and Importance Performance Analysis (IPA). Results showed that perceived performance (M = 3.59) consistently fell below importance (M = 3.75), indicating unmet student expectations. Responsiveness exhibited the largest performance gap (0.26), while eight attributes, primarily related to tutor and administrative responsiveness, were identified as priorities for improvement. The largest gaps were found in the timeliness of grading and feedback, demonstrating that IPA quadrants alone may overlook critical service priorities. By combining IPA with ranked gap analysis, this study offers a more robust approach to prioritising service improvements and provides practical guidance for enhancing educational service quality and student learning experiences in postgraduate distance education.

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References

Abalo, J., Varela, J., & Manzano, V. (2007). Importance values for importance–performance analysis: A formula for spreading out values derived from preference rankings. Journal of Business Research, 60(2), 115–121. https://doi.org/10.1016/j.jbusres.2006.10.006

Alnasraween, M. S. & Shahadab, F. H. (2022). Obstacles of teaching distance universities courses in light of E-learning quality standards. Cypriot Journal of Educational Science. 17(4), 1244-1257. https://doi.org/10.18844/cjes.v17i4.7145

Altmann, M., Langesee, L-M., Berger, V., Höflich, M. A., & Materna, A. (2022). Determining factors of international e-tutoring. International Journal of Management, Knowledge and Learning, 11, 105–115. https://doi.org/10.53615/2232-5697.11.105-115

Arici, F., Salar, R., & Yilmaz, R.M. (2025). An Examination of Factors Affecting Pre-service Science Teachers' Perceived Satisfaction Levels in Distance Education, Technology, Knowledge and Learning, 30(2), pp. 911–934. https://doi.org/10.1007/s10758-025-09834-w

Belawati, T. (2005). The impact of online tutorials on course completion rates and student achievement. Learning, Media and Technology, 30(1), 15–25. https://doi.org/10.1080/13581650500075520

Bond, M., Bedenlier, S., Marín, V. I., & Händel, M. (2021). Emergency remote teaching in higher education: Mapping the first global online semester. International Journal of Educational Technology in Higher Education, 18(1), 50. https://doi.org/10.1186/s41239-021-00282-x

Bozkurt, A., et al. (2023). A global outlook to open and distance learning post-pandemic: Trends and transformations. Open Praxis, 15(1), 1–18. https://doi.org/10.55982/openpraxis.15.1.563

Bryman, A. (2016). Social research methods (5th ed.). Oxford University Press.

Broadbent, J., & Poon, W. L. (2015). Self-regulated learning strategies and academic achievement in online higher education learning environments: A systematic review. The Internet and Higher Education, 27, 1–13. https://doi.org/10.1016/j.iheduc.2015.04.007

Burns, M. (2023). Distance Education for Teacher Training: Modes, Models, and Methods. Education Development Center, Inc.

Chauke, T. A. (2025). Postgraduate students’ perceptions of effective supervision practice in an open-distance e-learning environment. International Journal of E-Learning & Distance Education, 40(2). https://doi.org/10.55667/ijede.2025.v40.i2.1373

Crawford, J., Butler-Henderson, K., Rudolph, J., Malkawi, B., Glowatz, M., Burton, R., Magni, P., & Lam, S. (2020). COVID-19: 20 countries' higher education intra-period digital pedagogy responses. Journal of Applied Learning & Teaching, 3(1), 1–20. https://doi.org/10.37074/jalt.2020.3.1.7

Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Sage.

Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). Sage.

Deng, R., Benckendorff, P., & Gannaway, D. (2022). Linking student satisfaction and learning experience in higher education: A service quality perspective. Studies in Higher Education, 47(4), 845–860. https://doi.org/10.1080/03075079.2020.1750580

Dietrich, N., Kentheswaran, K., Ahmadi, A., Teychené, J., Bessière, Y., Alfenore, S., ... & Hébrard, G. (2020). Attempts, successes, and failures of distance learning in the time of COVID-19. Journal of Chemical Education, 97(9), 2448-2457. https://doi.org/10.1021/acs.jchemed.0c00717

Dietrich, S., Jindal-Snape, D., Hansen, A. L., & Børve, H. E. (2020). A systematic review of factors influencing student retention in higher education. Educational Research Review, 29, 100306.

https://doi.org/10.1016/j.edurev.2019.100306

Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1–4. https://doi.org/10.11648/j.ajtas.20160501.11

Gallifa, J. & Batalle, P. (2010). Student perceptions of service quality in a multi-campus higher education system in Spain. Quality Assurance in Education, 18 (2), 156-170. https://doi.org/10.1108/09684881011035367

Garlinska, M., Osial, M., Proniewska, K., & Pregowska, A. (2023). The influence of emerging technologies on distance education. Electronics, 12(7), 1550. https://doi.org/10.3390/electronics12071550

Graham, C. R., Woodfield, W., & Harrison, J. B. (2013). A framework for institutional adoption and implementation of blended learning in higher education. The Internet and Higher Education, 18, 4–14. https://doi.org/10.1016/j.iheduc.2012.09.003

Grynyuk, S., et al. (2022). Distance learning during the COVID-19 pandemic: The Experience of Ukraine's higher education system. The Electronic Journal of e-Learning, 20(3), pp. 242-256. https://doi.org/10.34190/ejel.20.3.2198

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage.

Hamdan, K. M., Al-Bashaireh, A. M., Zahran, Z., Al-Daghestani, A., Al-Habashneh, S., & Shaheen, A. M. (2021). University students' interaction, Internet self-efficacy, self-regulation and satisfaction with online education during pandemic crises of COVID-19 (SARS-CoV-2). International Journal of Educational Management, 35(3), 713-725. https://doi.org/10.1108/IJEM-11-2020-0513

Handbook of Distance Education Moore, M. G., & Diehl, W. C. (Eds.). (2019). Handbook of Distance Education (4th ed.). Routledge.

Jaekel, A. K., Fütterer, T., & Göllner, R. (2023). Teaching characteristics in distance education associations with teaching quality and students’ learning experiences. Teaching and Teacher Education, 132, 104174. https://doi.org/10.1016/j.tate.2023.104174

Kovalenko, O. (2023). Distance learning technologies in a higher educational institution: experience in using and implementing e-learning courses in the educational process. ScienceRise: Pedagogical Education, 1 (52), 23–29. https://doi.org/10.15587/2519-4984.2023.275501

Kozlova, D. & Pikhart, M. (2021). The use of ICT in higher education from the perspective of the university students. Procedia Computer Science, 192, 2309–2317. www.sciencedirect.com 10.1016/j.procs.2021.08.221

Kubikova, K., Bohacova, A., Slowik, J., & Pavelkova, I. (2024). Student adaptation to distance learning: An analysis of the effectiveness, benefits and risks of distance education from the perspective of university students, Social Sciences & Humanities Open, 9. 100875 https://doi.org/10.1016/j.ssaho.2024.100875

Langesee, L-M. (2022). Future competencies and e-tutor competencies: A chance for higher education institutions to support their student staff. International Journal of Management, Knowledge and Learning,11, 297–314. https://doi.org/10.53615/2232-5697.11.297-314

Law, M. Y. (2022). A Review of Curriculum Change and Innovation for Higher Education. Journal of Education and Training Studies, 10 (2), pp. 16-23. https://doi.org/10.11114/jets.v10i2.5448

Martin, F., Sun, T., & Westine, C. D. (2020). A systematic review of research on online teaching and learning from 2009 to 2018. Computers & Education, 159, 104009. https://doi.org/10.1016/j.compedu.2020.104009

Martilla, J. A., & James, J. C. (1977). Importance–performance analysis. Journal of Marketing, 41(1), 77–79. https://doi.org/10.1177/002224297704100112

Masalimova, A.R., Khvatova, M.A., Chikileva, L.S., Zvyagintseva, E.P., Stepanova, V.V., & Melnik, M.V. (2022). Distance learning in higher education during Covid-19. Frontiers in Education, 7:822958. https://doi.org/10.3389/feduc.2022.822958

Moore, M. G. (1993). Theory of transactional distance. In D. Keegan (Ed.), Theoretical Principles of Distance Education (pp. 22–38). Routledge.

Moore, M. G., & Diehl, W. C. (2019). Handbook of Distance Education (4th ed.). Routledge.

O'Neill, G., & Short, A. (2025). Relevant, practical and connected to the real world: what higher education students say engages them in the curriculum. Irish Educational Studies, 44(1), 23-40. https://doi.org/10.1080/03323315.2023.2221663

Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879

Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12–40. https://doi.org/10.1016/S0022-4359(99)80004-0

Segbenya, M., Bervell, B., Minadzi, V.M., & Somuah,B.A. (2022). Modelling the perspectives of distance education students towards online learning during COVID-19 pandemic. Smart Learning Environments, 9 (1), p. 13. https://doi.org/10.1186/s40561-022-00193-y

Seth, N., Deshmukh, S. G., & Vrat, P. (2021). Service quality models: A review and synthesis for higher education context. Total Quality Management & Business Excellence, 32(13–14), 1521–1542. https://doi.org/10.1080/14783363.2020.1762447

Shikulo, L., & Lekhetho, M. (2020). Exploring student support services of a distance learning centre at a Namibian university. Cogent Social Sciences, 6(1), 1737401. https://doi.org/10.1080/23311886.2020.1737401

Sibai, M.T., Bay Jr., B., & Rosa, R. D. (2021). Service quality and student satisfaction using ServQual model: A study of a private medical college in Saudi Arabia. International Education Studies, 14 (6), 51—58. https://doi.org/10.5539/ies.v14n6p51

Theresiawati, S., Seta, H. B., Hidayanto, A. N., & Abidin, Z. (2020). Variables affecting e-learning services quality in Indonesian higher education: Students' perspectives. Journal of Information Technology Education: Research, 19, 259–286. https://doi.org/10.28945/4489

Tsang, J. T. Y., So, M. K. P., Chong, A. C. Y., Lam, B. S. Y., & Chu, A. M. Y. (2021). Higher education during the pandemic: The predictive factors of learning effectiveness in COVID-19 online learning. Education Sciences, 11(8), 446. https://doi.org/10.3390/educsci11080446

Tsang, J. T. Y., So, M. K. P., & Cheung, C. K. (2021). Exploring tutor support and student engagement in online learning environments. Education and Information Technologies, 26, 6453–6473. https://doi.org/10.1007/s10639-021-10645-6

Turan, Z., Kucuk, S., & Cilligol Karabey, S. (2022). The university students’ self-regulated effort, flexibility and satisfaction in distance education. International Journal of Educational Technology in Higher Education, 19(1), 35. https://doi.org/10.1186/s41239-022-00342-w

Wei, H. C., & Chou, C. (2020). Online learning performance and satisfaction: do perceptions and readiness matter?. Distance Education, 41(1), 48-69. https://doi.org/10.1080/01587919.2020.1724768

Yılmaz, A., & Karataş, S. (2022). Why do open and distance education students drop out? Views from various stakeholders. International Journal of Educational Technology in Higher Education, 19(1), 28. https://doi.org/10.1186/s41239-022-00333-x

Yilmaz, R., & Karataş, S. (2022). The effect of academic support and self-regulation on student success in online learning environments. Education and Information Technologies, 27, 11309–11328. https://doi.org/10.1007/s10639-022-11040-4

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Published

2026-06-30

How to Cite

Julaeha, S., Puspitasari, K. A., & Puspitasari, M. (2026). Educational Service Quality in Postgraduate Distance Education: Evidence from Indonesia. International Journal of Education and Teaching Zone, 5(2), 438–457. https://doi.org/10.57092/ijetz.v5i2.840