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that there was a statistically significant of computer technology (Davis et al.,
correlation between students’ attitude 1989). This model suggested that the
towards technology and their levels user’s actual usage behavior (actual
of access to various technologies. use or AU) is directly affected by
Students who had better access to behavioral intention (intention to use
technology showed that the internet or IU). In turn, behavioral intention is
generated stronger positive attitudes determined by both the user’s attitude
(Rhema, A. & Miliszewska, I., 2014). The and its perception of usefulness. Two
attitude of teachers towards e-learning key parameters that were capable
was analyzed through the research in influencing user’s attitude were
conducted on 85 teachers of Punjab identified as perceived usefulness (PU)
University with factors related to feeling and perceived ease of use (PEOU), and
towards flexibility, performance of that these beliefs acted as mediators
computer, self-efficacy, and anxiety between external variables (e.g., design
towards computer /technology and features, prior usage and experience,
significant impact of age was seen on computer self-efficacy, and confidence
teacher’s attitude towards computer in technology) and intention to use.
and e-learning (Suri Gunmala and Furthermore, TAM explained that PEOU
Sneha Sharma, 2017). The quality, indirectly affects IU through PU (Davis et
reliability and medium richness are key al., 1989; Venkatesh & Davis, 2000).
technological aspects to be considered Research methodology
(Sanders Lopez and Nagelhout, 1995).
Convenient remote access, minimal Research gap & research question
required time for the network to The statistical data about e-learning
exchange documents and the quality or online education industry points
of interface also play an important role out that even before COVID-19, the
(Trevitt, 1995). McIntyre and Wolff (1998, growth prospects of this industry was
P.257) noted that one of the powers of high and now that COVID-19 has forced
interactivity in a web environment is educational institutions across the
the capability to engage by providing globe to accept online mode of teaching
rapid, compelling interaction and this industry is expected to grow as
feedback to students. Engagement it has become a significant aspect of
is also enhanced by problem-based delivering education now. Besides this,
presentation of educational material. from the literature it is understood
An engaged student is a motivated that a lot of work has been done in this
student (Neorman and Spohrer, 1996). area pertaining to awareness, factors

Davis (1986) developed the Technology that contribute to acceptance of online
Acceptance Model (TAM) which is education. But now that students have
based on the Theory of Reasoned actually used these online platforms
Action (TRA), to understand the causal during lockdown their perceptions
relationships among users’ internal might have changed and new issues/
beliefs, attitudes, and intentions as well problems would have come up. It is
as to predict and explain acceptance crucial for the educational system to

Indian Journal of Educational Technology 43
Volume 3, Issue 2, July 2021