Online, Distance, and Hybrid Education Quality Assurance

Authors

By 
Restu Januarty Hamid
Restu Januarty Hamid, Bosowa University, Indonesia
Orcid https://orcid.org/0009-0008-5021-7976

Restu Januarty Hamid, S.Pd.I., M.Pd. is a lecturer at the Faculty of Teacher Training and Education, Universitas Bosowa Makassar, Indonesia. She earned her Doctoral degree (S3) in English Language Education from Universitas Negeri Makassar, following her Master's and Bachelor's degrees in the same field. Her academic expertise focuses on English Language Teaching, particularly in the areas of digital pedagogy, hybrid learning, vocabulary development, and technology-enhanced language instruction. She has actively contributed to numerous national and international peer-reviewed journals, with research interests spanning innovative learning models, artificial intelligence in education, and EFL instructional practices. In addition to research activities, she is actively involved in community service programs, including student field supervision, educational training for teachers, and community empowerment initiatives in literacy and digital education. She also serves in various academic leadership roles, such as Head of English Study Program and Head of Language Laboratory. Through her scholarly work, teaching, and community engagement, she consistently fulfills the responsibilities of a professional lecturer by integrating research, education, and societal contribution. Her academic commitment reflects her belief in continuous learning, innovation, and meaningful impact on education and society.

STAR SCHOLARS PRESS

Published

Publication date : September 3, 2026

Synopsis

This chapter examines quality assurance (QA) in online, distance, and hybrid education as these delivery modes move from marginal options to mainstream practice in higher education. It argues that QA in digital learning must progress beyond compliance checklists toward evidence-based assurance of learning outcomes, student experience, academic integrity, equity, and continuous improvement. The discussion highlights how institutions can demonstrate comparability with face-to-face provision while also leveraging learning analytics and artificial intelligence for ongoing monitoring, early risk detection, and feedback-driven course enhancement. At the same time, it addresses the ethical and governance questions raised by data-intensive QA, including privacy protection, transparency, and algorithmic bias. The chapter situates these issues within the ASEAN context, where mobility, cross-border provision, and regional harmonization increase the need for credible and interoperable QA frameworks. Drawing attention to Indonesia’s geographic dispersion and infrastructure gaps, it outlines practical alignment between internal and external QA systems and verifiable evidence across curriculum, processes, and outcomes.


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