Adoption and Use of Learning Management Systems in Education: The Role of Playfulness and Self-Management

Balkaya, Selen; Akküçük, Ulaş

doi:10.3390/su13031127

Cited by 62 publications

(61 citation statements)

References 52 publications

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“…Self-efficacy measures the ability of an individual to perform a particular task by using technology (Venkatesh et al, 2003). Several studies have endorsed the influence of Selfefficacy on effort expectancy towards adopting technology (e.g, Balkaya & Akkucuk, 2021;de Veer et al, 2015;Shiferaw et al, 2021). Self-efficacy was confirmed as a significant predictor for effort expectancy towards consumers adoption intention of Internet technology (de Veer et al, 2015).…”

Section: Self-efficacymentioning

confidence: 99%

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Consumer adoption of mobile payment services during COVID-19: extending meta-UTAUT with perceived severity and self-efficacy

Upadhyay

Abed

et al. 2022

IJBM

119

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PurposeThe purpose of this paper is to identify and examine the important factors that could affect consumers' behavioural intention and use behaviour towards mobile payment services during COVID-19.Design/methodology/approachThe proposed model extends meta-Unified Theory of Acceptance and Use of Technology (meta-UTAUT) model with perceived severity and self-efficacy factors affecting consumers' behavioural intention and use behaviour towards mobile payment services. A convenient sampling technique has been utilized to gather data from a self-administered questionnaire. The data collection was restricted to the online mode to avoid any physical contact considering the COVID-19 situation.FindingsThe findings revealed that performance expectancy, effort expectancy and perceived severity have a significant positive impact on consumers' attitude; facilitating conditions has a significant positive impact on effort expectancy; self-efficacy has a significant positive impact on effort expectancy; attitude has a significant positive impact on behavioural intention; and behavioural intention has a significant positive impact on use behaviour. Social influence did not confirm any significant relationship.Research limitations/implicationsThe current research study has utilized a non-probability convenient sampling technique to gather data through a self-administered questionnaire. The data collection was restricted to the online mode to avoid any physical contact considering the COVID-19 situation. The respondents were adopters of mobile payment services. The scope of the study is the COVID-19 context or related chronic diseases context where major preventive mechanisms such as social distancing and avoidance of physical contacts are vital.Originality/valueThis study has extended the meta-UTAUT model with the COVID-19 context-specific constructs and relationships. The undertaken work has strengthened the explanability of the model. The inclusion of context relevant variables such as perceived severity and self-efficacy and their association with the existing meta-UTAUT framework have enriched the context of the study. The current study offers a holistic understanding of significant factors influencing Indian consumers’ adoption of mobile payment services in the COVID-19 context.

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Section: Self-efficacymentioning

confidence: 99%

“…Self-efficacy was confirmed as a significant predictor for effort expectancy towards consumers adoption intention of Internet technology (de Veer et al, 2015). Additionally, Balkaya and Akkucuk (2021)…”

Section: Self-efficacymentioning

confidence: 99%

Consumer adoption of mobile payment services during COVID-19: extending meta-UTAUT with perceived severity and self-efficacy

Upadhyay

Abed

et al. 2022

IJBM

119

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“…Learners are not only more driven to comprehend when an interaction is present in the learning activity, but they are also more attentive, participatory, and open to sharing ideas with their peers [48]. Overall, the interaction has a positive impact on student learning outcomes [49].…”

Section: Construct Description Proposed Hypothesis Sourcementioning

confidence: 99%

“…A total of 521 in-service Junior Elementary School Teachers (JEST) are working in three districts of the Shaheed Benazirabad division with 226 teachers in district SBA, 161 in the district Sanghar, and 134 teachers in the district of Naushahro Feroze. According to [22], an appropriate SEM analysis requires at least 150 participants; however, [49] suggests that at least 200 individuals-or at least 5 occurrences per parameter for simple SEM models-are necessary. Some studies recommend a minimal sample size of 351 participants [50].…”

Section: Sample Size and Data Collectionmentioning

confidence: 99%

Factors Influencing the Acceptance of Mobile Collaborative Learning for the Continuous Professional Development of Teachers

et al. 2021

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The COVID-19 epidemic has not only triggered a worldwide health catastrophe, it has also affected learning processes all over the world. While COVID-19 was in its initial wave of transmission, educational systems around the world witnessed bitter experiences in the form of the closure of institutes or a shift to distance (or online) learning techniques. The delivery of quality education was affected the most where the educational system was already weak due to the unavailability of effective teachers’ professional development programs and the lack of the integration of technology. This study extends the conventional continuous professional development (CPD) model of in-service teachers adopted in the province of Sindh, Pakistan. The extensions are based on the integration of mobile technology and support for collaborative learning and ongoing assistance, which are missed in the current traditional model. To assess the acceptance and use of the app, an Mobile collaborative learning (MCL) based CPD acceptance framework is designed by combining chosen components from a generally recognized Unified theory of acceptance and use of technology (UTAUT2) and other well-recognized acceptance models for the acceptance and use of the technology. In the context of CPD, a total of 14 constructs have been selected which include performance expectancy; effort expectancy; facilitating conditions; hedonic motivation; mobility; knowledge acquisition; content and information quality; on-the-job support; reward; behavioral intention; engagement; interactivity with peer & experts; self-management and collaborative learning. Based on these constructs; a total of 13 hypotheses were developed with 55 measurement items. A total of 494 teachers participated in a two-week training session using the designed app. Based on the activity, a questionnaire was designed and distributed among the participants using WhatsApp groups during the academic year of 2021–2022. Out of 494 participants; 472 participants correctly filled in the questionnaires, which were selected for analysis. The data was analyzed using IBM SPSS version 21; and, for Structural Equation Modeling (SEM) analysis, IBM AMOS version 21 was used. According to the results, all thirteen hypotheses were found statistically significant showing the positive impact on the acceptance and use of the CPD app. The results of this study promote teachers’ and experts’ engagement and participation in CPD activities which not only improve the knowledge and skills of the learners but also impact their long-term professional development and success. This research may help the teachers’ training and related institutions to make better choices and develop a mobile collaborative learning system for school-based teacher support and training programs. As a basis, this study may also be used in other provinces of Pakistan and beyond to make it a CPD standard.

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“…Thus, if teachers have a high sense of efficiency, they will definitely do the required task properly. To be able to achieve that goal, we need to engage students in different activities, which will, in turn, encourage teachers to use these technologies more constantly and gradually to develop their competence [54][55][56][57].…”

Section: Self-efficiencymentioning

confidence: 99%

Factors That Affect E-Learning Platforms after the Spread of COVID-19: Post Acceptance Study

Al-Maroof

Alhumaid

Akour

et al. 2021

Data

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The fear of vaccines has led to population rejection due to various reasons. Students have had their own inquiries towards the effectiveness of the vaccination, which leads to vaccination hesitancy. Vaccination hesitancy can affect students’ perception, hence, acceptance of e-learning platforms. Therefore, this research attempts to explore the post-acceptance of e-learning platforms based on a conceptual model that has various variables. Each variable contributes differently to the post-acceptance of the e-learning platform. The research investigates the moderating role of vaccination fear on the post-acceptance of e-learning platforms among students. Thus, the study aims at exploring students’ perceptions about their post-acceptance of e-learning platforms where vaccination fear functions as a moderator. The current study depends on an online questionnaire that is composed of 29 items. The total number of respondents is 630. The collected data was implemented to test the study model and the proposed constructs and hypotheses depending on the Smart PLS Software. Fear of vaccination has a significant impact on the acceptance of e-learning platforms, and it is a strong mediator in the conceptual model. The findings indicate a positive effect of the fear of vaccination as a mediator in the variables: perceived ease of use and usefulness, perceived daily routine, perceived critical mass and perceived self-efficiency. The implication gives a deep insight to take effective steps in reducing the level of fear of vaccination, supporting the vaccination confidence among educators, teachers and students who will, in turn, affect the society as a whole.

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Adoption and Use of Learning Management Systems in Education: The Role of Playfulness and Self-Management

Cited by 62 publications

References 52 publications

Consumer adoption of mobile payment services during COVID-19: extending meta-UTAUT with perceived severity and self-efficacy

Consumer adoption of mobile payment services during COVID-19: extending meta-UTAUT with perceived severity and self-efficacy

Factors Influencing the Acceptance of Mobile Collaborative Learning for the Continuous Professional Development of Teachers

Factors That Affect E-Learning Platforms after the Spread of COVID-19: Post Acceptance Study

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