Determinants of Students’ Actual use of the Learning Management System (LMS): An Empirical Analysis of a Research Model

Buabeng-Andoh, Charles; Baah, Charles

doi:10.25046/aj050277

Cited by 7 publications

(4 citation statements)

References 31 publications

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“…More specifically, PE significantly affected university students’ BI to use eLearning platforms meaning that using eLearning platforms will enable students to perform better in their studies. This finding is in agreement with many studies worldwide; Prasetyo et al ( 2021 ) in the Philippines; Muangmee et al ( 2021 ) in Thailand; Raza et al ( 2021 ) in Pakistan; Fouad Altameemi and Abdula Fatah Al-Slehat (2021), Abbad ( 2021 ), Dajani and Abu Hegleh ( 2019 ), in Jordan; Hassan ( 2021 ) in Egypt; Akbar ( 2021 ) in Bahrain; Buabeng-Andoh and Baah ( 2020 ) in Ghana; Tarhini et al ( 2017 ), in England; El-Masri and Tarhini ( 2017 ), in Qatar and the USA; Ain et al ( 2016 ) in Malaysia.…”

Section: Discussionsupporting

confidence: 91%

“…PE, EE, SI, PV, and FC, affected students’ BI to use eLearning, while BI and FC had direct impact on actual USE. In Ghana, Buabeng-Andoh and Baah ( 2020 ), applied the UTAUT to find out the predictors of students’ use of LMS; Performance Expectancy, Effort Expectancy and Institutional Support positively affected students’ actual use of the eLearning platform.…”

Section: Literature Review: Research Related To University Students’ ...mentioning

confidence: 99%

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Factors predicting University students’ behavioral intention to use eLearning platforms in the post-pandemic normal: an UTAUT2 approach with ‘Learning Value’

Zacharis

Νικολοπούλου

2022

Educ Inf Technol

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The use of eLearning platforms has made it possible to continue the learning process in universities, and other educational institutions, during the Covid pandemic. Students’ acceptance of eLearning is important because it is associated with their engagement in the online teaching–learning environment. This study used the Unified Theory of Acceptance and Use of Technology (UTAUT2: Venkatesh et al., 2012) to determine the factors predicting the behavioral intention of university students' to use eLearning platforms in the post-pandemic era. UTAUT2 was extended to include the constructs ‘Learning Value’ and ‘Empowerment in Learning’. 314 students from different universities across Greece participated by completing an online questionnaire. Performance Expectancy, Social Influence, Hedonic Motivation, Learning Value and Habit had a significant impact on students’ intention to use eLearning platforms to learn, while Facilitating Conditions and Learning Value had a direct impact on actual use. The findings enhance the research applying the UTAUT2 model, with the Learning Value, for the investigation of students’ intention to use eLearning platforms in the post-Covid era. We suggest for Learning Value to be included in future research in an educational context.

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Section: Discussionsupporting

confidence: 91%

Section: Literature Review: Research Related To University Students’ ...mentioning

confidence: 99%

Factors predicting University students’ behavioral intention to use eLearning platforms in the post-pandemic normal: an UTAUT2 approach with ‘Learning Value’

Zacharis

Νικολοπούλου

2022

Educ Inf Technol

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“…Implementing LMS Moodle is a strategic move to promote student-teacher interaction in higher education (Zabolotniaia et al, 2020). The LMS assists in learning management and student-lecturer interaction (Buabeng-Andoh & Baah, 2020). The LMS Moodle allows students and instructors to communicate at any time and place (Ain et al, 2016).…”

Section: Lms Moodlementioning

confidence: 99%

Investigating Students’ Use of the Moodle Platform: A Pilot Study Testing

Zulherman,

Zain,

Sailin

2023

JHETP

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The use of the Moodle platform during the pandemic has dramatically increased, especially in education and learning. There have been numerous studies on user acceptance of learning technology. However, until now, there has been no evaluation research on user satisfaction by transformational leadership as a mediator. This study evaluated user satisfaction, namely students, based on the UTAUT and Delone McLean models. The method used is random sampling as a pilot study of 2 classes at a private Islamic university in Jakarta, Indonesia. In this study, we used ten variables, namely; Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), Facilitating Conditions (FC), System Quality (SQ), Information Quality (IQ), Service Quality (SeQ), Transformational Leadership (TL), User Satisfaction (US). The results showed that eight hypotheses were accepted out of 6, so 75% of this pilot study was successful. We concluded that how students act significantly affects how interested they are in using the Moodle platform.

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“…Buabeng-Andoh and Baah ( 2020 ) examined the elements of learners’ real application of OLMS in a private university in Ghana. They found that PE, EE, and institutional support positively added to learners’ acceptance of online learning systems whereas SI and infrastructure support did not prevalently support learners’ approval.…”

Section: Reviewed Workmentioning

confidence: 99%

What critical factors forecast student-teachers utilization of online learning system in the University of Education, Ghana during the Covid19 pandemic?

Buabeng-Andoh

2022

Educ Inf Technol

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The shutdown of schools due to the Covid19 epidemic has generated a move towards online education. The operation of an electronic instructional system in many higher learning institutions was a major challenge. Online instructional system namely Moodle possesses some characteristics that are important for its operation in the era of the covid19 epidemic. Nevertheless, the effective implementation of the electronic instructional system depends on grasping the determinants that confront the modern electronic instructional system. Therefore, this inquiry aims to examine the determinants that influence learners’ operation of the instructional learning system in the period of covid19. This inquiry adopted a quantitative research design. A convenient sampling approach was employed to choose a sample size of 276 students. The result of the inquiry found that all the nine determinants elucidated 53.8% of the change in utilization of the online learning system. Of the nine determinants, social influence and system quality contributed substantially to learners’ utilization of online learning system. Implications for the study were also discussed.

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Determinants of Students’ Actual use of the Learning Management System (LMS): An Empirical Analysis of a Research Model

Cited by 7 publications

References 31 publications

Factors predicting University students’ behavioral intention to use eLearning platforms in the post-pandemic normal: an UTAUT2 approach with ‘Learning Value’

Factors predicting University students’ behavioral intention to use eLearning platforms in the post-pandemic normal: an UTAUT2 approach with ‘Learning Value’

Investigating Students’ Use of the Moodle Platform: A Pilot Study Testing

What critical factors forecast student-teachers utilization of online learning system in the University of Education, Ghana during the Covid19 pandemic?

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