ONLINE LEARNING ADOPTION DURING COVID19 PANDEMIC – THE EXPERIENCE OF THE UNDERGRADUATE STUDENTS IN NORTH MACEDONIA1
Journal
Horizons - International Scientific Journal, North Macedonia
Date Issued
2022-12-15
Author(s)
DOI
DOI 10.20544/HORIZONS.A.30.1.22.P09
Abstract
Abstract
Since spring 2020 when pandemic suddenly threatened the world in
unexpected way, a dramatic shift in how people live, work, and learn/study
is evident. Global pandemic restriction strategies like stay-at-home orders,
social distancing and long periods of lockdowns have disrupted the
traditional campus-based model of education i.e. the traditional in-classroom
teaching, and have forced fast adoption of online learning systems as
remote/distance learning. For most counties/universities worldwide, online
learning was one of the efforts to minimize the spread of Covid-19 and
convenient opportunity of continuing the educational process in those
circumstances. This was the case in the country as well. In this sense, the
goal of this paper is to analyze the adoption of online learning among
university students in the country. The basis for the research model is the
original Technology Acceptance Model (TAM). This fundamental model
examines the crucial predictors/factors of technology adoption including the
following constructs: perceived ease of use, perceived usefulness, attitude
towards using, behavioral intention and actual use. In order to get insights
1 original research paper
126
regarding the online learning adoption among university students in the
country, a survey was conducted among more than 150 undergraduates
during April and May 2022, while online learning was still undergoing. The
results of this study capture valuable insights regarding the adoption of
online learning and can be used as solid base for higher education
institutions in the country to shape their online education offerings in order
to remain competitive in a post-pandemic future. This research provides
relevant practical implications by elaborating that the analyzed factors are
critical towards online learning attitude in our country.
Since spring 2020 when pandemic suddenly threatened the world in
unexpected way, a dramatic shift in how people live, work, and learn/study
is evident. Global pandemic restriction strategies like stay-at-home orders,
social distancing and long periods of lockdowns have disrupted the
traditional campus-based model of education i.e. the traditional in-classroom
teaching, and have forced fast adoption of online learning systems as
remote/distance learning. For most counties/universities worldwide, online
learning was one of the efforts to minimize the spread of Covid-19 and
convenient opportunity of continuing the educational process in those
circumstances. This was the case in the country as well. In this sense, the
goal of this paper is to analyze the adoption of online learning among
university students in the country. The basis for the research model is the
original Technology Acceptance Model (TAM). This fundamental model
examines the crucial predictors/factors of technology adoption including the
following constructs: perceived ease of use, perceived usefulness, attitude
towards using, behavioral intention and actual use. In order to get insights
1 original research paper
126
regarding the online learning adoption among university students in the
country, a survey was conducted among more than 150 undergraduates
during April and May 2022, while online learning was still undergoing. The
results of this study capture valuable insights regarding the adoption of
online learning and can be used as solid base for higher education
institutions in the country to shape their online education offerings in order
to remain competitive in a post-pandemic future. This research provides
relevant practical implications by elaborating that the analyzed factors are
critical towards online learning attitude in our country.
Subjects
File(s)![Thumbnail Image]()
Loading...
Name
p6 HORIZONS.A.30.1.22.P09 paper-2-15.pdf
Size
600.37 KB
Format
Adobe PDF
Checksum
(MD5):1ec12635260b6ad68bc1857c4abf1c08
