SentiTAM: Sentiments centered integrated framework for mobile learning adaptability in higher education
SentiTAM: Sentiments centered integrated framework for mobile learning adaptability in higher education
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Date
2023
Authors
Owusu-Ansah Mfum, Christopher
Atika, Qazi
Najmul, Hasan
Glenn, Hardaker
Samrat, Kumar Dey
Khalid, Haruna
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Publisher
ScienceDirect
Abstract
Online communities provide facilities to share public opinions and or sentiments on a wide range
of subjects, from routine topics to vital issues of critical interest. Nowadays, many higher edu cation institutions (HEIs) recognize the value of students’ sentiments and evaluate users’ concerns
for the successful adaptation of mobile learning applications (MLAs). While digital learning has
been extensively studied previously, little has been known about why MLA is underutilized.
Therefore, this study extends the literature by proposing the SentiTAM model underlying tech nology acceptance model (TAM), and students’ sentiments on MLA platforms. A self-administered
cross-sectional survey of 350 MLA users’ data was analyzed through structural equation modeling
(SEM) using the AMOS package program. In addition, we have performed sentiment analysis on
students’ opinions gathered through Google discussion forums and Twitter. The results show that
MLA use intention is strongly influenced by sentiments and self-motivation, while perceived
usefulness and perceived ease of use directly influence MLA usage. To the best of our knowledge,
this study is the first attempt in MLA that investigates several vital factors, including sentiments as
a multi-perspective tool and motivational factors with core constructs of TAM. The findings assist
developing countries make smart decisions about how to use MLA with emerging technology.
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Citation
Qazi, A., Hasan, N., Owusu-Ansah, C. M., Hardaker, G., Dey, S. K., & Haruna, K. (2023). SentiTAM: Sentiments centered integrated framework for mobile learning adaptability in higher education. Heliyon, 9(1).