Undergraduate student's perception of using video conferencing tools under lockdown amidst COVID-19 pandemic in Ghana

Edumadze, John .K.E; Barfi, Kwaku Anhwere; Arkorful, Valentina; Baffour, Nyinaku Odoi

doi:10.1080/10494820.2021.2018618

Cited by 17 publications

(11 citation statements)

References 35 publications

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“…This approach has been widely used in the social science fields to analyze and evaluate the suitability of the theoretical model through empirical data [60,84,85]. SEM is also appropriately considered to test the assumptions in student or teacher acceptance of online learning media [86,87], such as micro-lectures. Meanwhile, the literature on SEM has demonstrated the need to adopt different approaches, based on the type of study, as well as sample normality and size [88].…”

Section: Discussionmentioning

confidence: 99%

Factors Influencing Students’ Continuous Intentions for Using Micro-Lectures in the Post-COVID-19 Period: A Modification of the UTAUT-2 Approach

Wijaya

Weinhandl

2022

Electronics

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Micro-lectures, i.e., short learning videos on a specific aspect of a topic, have become one of the most effective technology-based learning media approaches and were widely used during the COVID-19 pandemic. However, in the post-pandemic era starting from early 2022, as K-12 students have been allowed to resume going to school, it is necessary to evaluate students’ intentions to continuously use micro-lectures for learning mathematics. Therefore, this study aims to explore attitudes and continuous intentions of students towards the utilization of micro-lectures. To investigate students’ intentions of using micro-lectures, we utilized the unified theory of acceptance and use of technology (UTAUT-2). Data were collected from 321 junior high school students (14–17 years old) in Bandung, Indonesia, who used online classes and micro-lectures to learn mathematics during the pandemic. A structural equation model was also used to analyze the independent (performance expectancy, effort expectancy, social influence, facilitating condition, hedonic motivation, and habit) and dependent (attitude and continuous intention) variables. Furthermore, online questionnaires were used to obtain data on students’ attitudes and continuous intention to utilize micro-lectures in the post-COVID-19 era. The results suggested that effort expectancy (EE) and hedonic motivation (HM) had a significant effect on attitudes, whose correlation with habit also influenced the continuous intention during this post-pandemic period. Despite these results, the habit variable was found to be the factor most influencing continuous intention. These results provide information to teachers, schools, and the government to continuously increase the use of micro-lectures based on improving student learning performances in the post-pandemic era.

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Section: Discussionmentioning

confidence: 99%

Factors Influencing Students’ Continuous Intentions for Using Micro-Lectures in the Post-COVID-19 Period: A Modification of the UTAUT-2 Approach

Wijaya

Weinhandl

2022

Electronics

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“…Extant literature is still limited on the application of UTAUT to e-learning acceptance by students [44], particularly during the COVID-19 crisis. Experiences in the Middle East and East Asia [52,53,59,[59][60][61], as well as in several African countries [50,51,55], are particularly represented in literature. Experiences in other parts of the world, such as Europe or America, are comparatively less represented [49,57].…”

Section: The Utaut Framework and E-learning Acceptance During Covid-19mentioning

confidence: 99%

“…These hypotheses were elaborated based on the conclusions drawn in the extant literature on the application of UTAUT to e-learning acceptance, particularly during the COVID pandemic [35][36][37][38][43][44][45][46][47][48][49][50][51][52][53][54][55][56][57][58][59][60][61]. Indeed, most of the experiences represented in the literature validate the cause-effect relationships between the main constructs of the UTAUT model.…”

Section: Hypothesis 6 (H6) Behavioural Intention Has a Significant Ef...mentioning

confidence: 99%

“…Although a number of recent studies have explored student technology acceptance of e-learning during the COVID-19 outbreak [9,[35][36][37][38][39][40][41][42], to the best of our knowledge, up to the current moment, no former study has been conducted in this particular regional context. Additionally, the number of works which have used the UTAUT model to study e-learning acceptance in this context is still limited [43][44][45][46][47][48][49][50][51][52][53][54][55][56][57][58][59][60][61]. Finally, no study to date has provided a comparison between public and private institutions.…”

Section: Introductionmentioning

confidence: 99%

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Student Acceptance of E-Learning during the COVID-19 Outbreak at Engineering Universities in Spain

2023

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This article analyses students’ intention to use a particular e-learning technology (MS Teams) at university during the COVID-19 outbreak in Spain using the Unified Theory of Acceptance and Use of Technology (UTAUT). The model was refined through a qualitative analysis based on six focus group discussions with students from different engineering faculties in Madrid, Spain. A survey involving 346 undergraduate students was subsequently fed into the model. Structural Equation Modelling (SEM) and SMART PLS software were applied for data analysis. The results shed light on theoretical and practical implications. The model was validated by the data and displayed a high predictive ability. Social influence was found to have the greatest influence over students’ acceptance, followed by the professor’s role in shaping the perception of improvement. Facilitating conditions were found to be the least relevant factor, probably due to the particular context in which this study was conducted. A significant difference was found between the public and private institutions in terms of the importance of the perceived usefulness for the professor (this factor was more important for students’ acceptance at the public university). In order to improve its acceptance and use under the current scenario, it is thus important for universities wishing to introduce e-learning to focus on creating a positive social environment around the e-learning platform, for example, by using social networks or relying on testimonies by professionals who could confirm the interest of such a platform in a future work environment. Understanding professors’ perspective on the implementation of the platform is also of paramount importance. More research is also needed regarding context-related differences when analysing students’ acceptance of e-learning.

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“…According to [85], increasing sample size to 100 is recommended in order to reach acceptable levels of statistical power. Roldán and Cepeda [86] proposed specifying the size effect for each regression while consulting the power tables developed by Cohen [87] to obtain a more precise assessment.…”

Section: Justification Of Sample Sizementioning

confidence: 99%

The Effects of the COVID-19 Pandemic on the Digital Competence of Educators

2023

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Undergraduate student's perception of using video conferencing tools under lockdown amidst COVID-19 pandemic in Ghana

Cited by 17 publications

References 35 publications

Factors Influencing Students’ Continuous Intentions for Using Micro-Lectures in the Post-COVID-19 Period: A Modification of the UTAUT-2 Approach

Factors Influencing Students’ Continuous Intentions for Using Micro-Lectures in the Post-COVID-19 Period: A Modification of the UTAUT-2 Approach

Student Acceptance of E-Learning during the COVID-19 Outbreak at Engineering Universities in Spain

The Effects of the COVID-19 Pandemic on the Digital Competence of Educators

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