Utilizing DEMATEL for Value-Embedded e-Learning during the COVID-19 Pandemic
Author(s) -
Lanndon Ocampo,
Cristy Abarca,
Cristine Abarca,
Ninja Godes,
Esmeralda Pelola,
Margie Pensona,
Magel Niñofranco,
Cherry Ann Itallo,
Cristine Paler,
Celbert Himang,
Rebecca Manalastas,
Melanie M. Himang,
Rosein Ancheta
Publication year - 2021
Publication title -
education research international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.29
H-Index - 5
eISSN - 2090-4002
pISSN - 2090-4010
DOI - 10.1155/2021/9575076
Subject(s) - expectancy theory , psychology , value (mathematics) , conformity , social psychology , covid-19 , higher education , scale (ratio) , perception , work (physics) , competition (biology) , computer science , economics , economic growth , engineering , medicine , mechanical engineering , ecology , disease , pathology , machine learning , neuroscience , infectious disease (medical specialty) , biology , physics , quantum mechanics
Lockdowns of various forms have prompted higher education institutions (HEIs) to suddenly shift from physical face-to-face classes to e-learning environments on an unprecedented scale in recent history. This sudden shift promotes the continuity of the teaching-learning process in HEIs despite the COVID-19 pandemic, at most on the positive side, while bringing forth challenges related to individual learners and academics. This work is based on a recently reported Values-Enhanced Technology Adoption (VETA) model, which incorporates individual values in technology acceptance modeling. Despite offering crucial insights into academics in evaluating e-learning adoption, the current literature suffers from drawbacks. Motivated by addressing these limitations, this work reevaluates the nine constructs of the VETA model using the decision-making trial and evaluation laboratory (DEMATEL). Results indicate that effort expectancy, hedonic motivation, price value, habit, security, tradition, conformity, achievement, power, and hedonism constructs cause performance expectancy, behavioral intention, and social influence. The DEMATEL captures and models the causal relationships between these constructs within an analytical framework, which induces some variations of the recent empirical findings. Finally, the perception of self-achievement among academics drives the intention to adopt e-learning. The findings offered in this work are crucial to the evolving literature of COVID-19 on education, particularly in informing the design of initiatives and measures to enhance e-learning.
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