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Factors in Evaluating Online Learning in Higher Education in the Era of a New Normal Derived from an Analytic Hierarchy Process (AHP) Based Survey in South Korea

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 06 Mar 2022Publisher:MDPI AGJournal:Sustainability, volume 14, page 3,066 (eissn: 2071-1050,

Authors: Yoon Y. Cho; Hyunju Woo;

doi: 10.3390/su14053066

Factors in Evaluating Online Learning in Higher Education in the Era of a New Normal Derived from an Analytic Hierarchy Process (AHP) Based Survey in South Korea

- Summary
- Subjects
- Metrics

Abstract

Before COVID-19, online learning in higher education was more of a choice than a requirement. The majority of universities in South Korea are currently not utilizing an evaluation index tailored specifically to online courses and are instead using the traditional in-person class evaluation standards. The study, hence, examines the factors that could be used to evaluate the quality of online learning in higher education taking place due to the COVID-19 pandemic from the point of views of the main subjects of online education: e-learning system administrators, instructors, and students. The analytical hierarchy process (AHP) method was used to determine the relative importance of factors in evaluating online learning. The conclusions derived from this research can be used as foundational material for evaluation factors of online learning in higher education.

Related Organizations

Kyonggi University
Korea (Republic of)
Kyonggi University
Korea (Republic of)

Keywords

analytic hierarchy progress, instructors, Environmental effects of industries and plants, online learning, TJ807-830, AHP method, TD194-195, Renewable energy sources, Environmental sciences, online systems administrators, GE1-350, online learning; virtual learning evaluation index; analytic hierarchy progress; AHP method; online systems administrators; instructors; learners, virtual learning evaluation index

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	6
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%