Rethinking Evaluating the Use of Distance Learning Systems in the Context of the Unified Theory of Acceptance and Use of Technology-2

Kalinkara, Yusuf; Talan, Tarık

doi:10.56059/jl4d.v9i2.617

Cited by 5 publications

(5 citation statements)

References 25 publications

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“…In information system research, HM has been found to influence technology acceptance and use (Childers et al, 2001;Thong et al, 2006;Van der Heijden, 2004). From the literature, HM is generally a predictor of BI, a finding that is aligned with what was proposed by Venkatesh et al ( 2012) (Ashraf et al, 2023;Avci & Acvi, 2022, Azizi et al, 2020Bervell et al, 2021;de Moraes & Cabello, 2017;Fathima Sanjeetha & Sabraz Nawaz, 2020;Hu et al, 2020, Kalinkara & Talan, 2022Kumar & Bervell, 2019;Moorthy et al, 2019b;Nikolopoulou et al, 2020;Raman & Don, 2013;Zhou et al, 2022). However, when Tamilmani et al (2019) conducted a meta-analysis of 79 UTAUT2 studies, the researchers found that only 46 (58%) of the studies utilised HM as a construct, while 33 studies (42%) omitted the construct.…”

Section: Literature Review Utaut2mentioning

confidence: 56%

“…However, in the UTAUT2 model, FC is posited to predict both BI and UB (Venkatesh et al, 2012). FC remained a predictor of BI in many later UTAUT2 studies (Arain et al, 2018;Azizi et al, 2020;Bhimasta & Suprapto, 2016;El-Masri & Tarhini, 2017;Faqih & Jaradat, 2021;Farooq et al, 2017;Fathima Sanjeetha & Sabraz Nawaz, 2020;Gengfu & Chotiyaputta, 2019;Gunawan et al, 2019;Hu et al, 2020;Kalinkara & Talan, 2022;Meet et al, 2022;Mishra et al, 2022;Raman & Don, 2013;Rudhumbu, 2022;Tseng et al, 2019;Widjaja et al, 2020;Zacharis & Nikolopoulou, 2022). The discussion on FC as a predictor of UB is sometimes not straightforward as in many studies.…”

Section: Literature Review Utaut2mentioning

confidence: 99%

“…UB was often omitted in many UTAUT2 empirical studies (Abdul Rabu et al, 2019;Al-Azawei & Alowayr, 2020;Almahri et al, 2020;Arain et al, 2018;Arain et al, 2019;Bhimasta & Suprapto;de Moraes & Cabello, 2017;El-Masri & Tarhini, 2017;Faqih & Jaradat, 2021;Gengfu & Chotiyaputta, 2019;Gunawan et al, 2019;Jung & Lee;Kaur et al, 2021;Le et al, 2022;Meet et al, 2022;Mehta et al, 2019;Moorthy et al, 2019a;Moorthy et al, 2019b;Rudhumbu, 2022;Sharif et al, 2019;Xu et al, 2022). For studies that included UB as a construct, in most cases, findings revealed that FC was a predictor of UB (Ain et al, 2016;Ashraf et al, 2023;Cao & Nguyen, 2022;Goto & Munyai, 2022;Hu et al, 2020;Kalinkara & Talan, 2022;Musa et al, 2022;Nikolopoulou et al, 2020;Raman & Don, 2013;Tseng et al, 2019;b et al, 2020;Zhou et al, 2020;Zawain, 2019;Zawin & Haboobi, 2019).…”

Section: Literature Review Utaut2mentioning

confidence: 99%

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Examining Unified Theory of Acceptance and Use of Technology 2 through Meta-analytic Structural Equation Modelling

2023

JALT

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Like its predecessor, the Unified Theory of Technology and Use of Technology (UTAUT), UTAUT2 has been adopted, adapted and used in extended forms due to its simplicity, parsimony and robustness. This study synthesised 39 empirical studies based on the UTAUT2 model in educational contexts, using the One-stage Meta-Analysis and Structural Equation Modelling (OSMASEM). Although the findings in this study aligned with the initial findings by Ventakesh et al. ( 2012), the model did not perform well compared to those in the initial UTAUT2 study in the explained variance in both behavioural intention and use behaviour. When new relationships were introduced into the UTAUT2 model in this study, constructs like performance expectancy, hedonic motivation, social influence, and price value were new predictors of use behaviour. The meta-analytic structural equation modelling approach used in this study, OSMASEM, allows researchers to use past empirical study data to examine the UTAUT2 framework without replicating similar studies. Using OSMASEM, researchers could easily add past empirical data to train the UTAUT2 model to study the trends in technology acceptance and use in educational contexts.

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Section: Literature Review Utaut2mentioning

confidence: 56%

Section: Literature Review Utaut2mentioning

confidence: 99%

Section: Literature Review Utaut2mentioning

confidence: 99%

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Examining Unified Theory of Acceptance and Use of Technology 2 through Meta-analytic Structural Equation Modelling

2023

JALT

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“…Kalinkara & Talan's [21] study examined the students' intentions and behaviors regarding the UBYS system-a learning management system-through the lens of the UTAUT-2 paradigm. The structural equation model was also utilized in the research.…”

Section: Previous Studiesmentioning

confidence: 99%

The level of self-learning ability among university students in the light of dealing with innovative technologies

Sbaih,

Al-Otaibi,

Smadi

et al. 2024

P Sci Edu

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Introduction. A crucial topic of investigation in modern education is the study of self-learning abilities among college students, especially in using innovative technologies. In order to improve educational practices and student results, it is crucial to understand how students adapt to and use digital tools and online resources for self-directed learning. This is because these resources are becoming increasingly important to academic performance. The purpose of this study is to explore how college students utilize digital tools and online resources for self-learning. Study participants and methods. This investigation, which involved 500 pupils, set out to answer four primary questions: (1) the confidence that college students have in their abilities to learn independently with the help of digital tools; (2) how students' use and familiarity with cutting-edge tools change as they progress through college; (3) whether there are any gender variations in students' ability to learn on their own using modern technology; and (4) whether or not there are any relationships between students' grades and their use of cutting-edge study tools, using a Likert-scale survey. Results. The results demonstrated that out of 500 college students, 60% had faith in self-directed learning through innovative technology, with 200 agreeing and 100 strongly agreeing. On the other side, nearly a quarter were uneasy, with seventeen percent remaining indifferent and sixty-five percent strongly opposing. Just 10% of first-year students reported often utilizing tools, indicating reduced tool utilization and comfort. Whereas half of the fourth-year students regularly used them, the other half used them more frequently and were more comfortable with them. The study did not find any notable difference in the usage of technology for self-learning based on gender. There was an association between grade point average and technology use; students whose GPAs were between 3.5 and 4.0 were more likely to use technology frequently (4.8 out of 5.0) and were more comfortable using it (4.5 out of 5.0). Practical significance. This study has the ability to shed light on current educational procedures and strategies, which is where its practical significance lies. Teachers can gain a better grasp of how students make use of and adjust to digital resources for independent study in order to incorporate these technologies into lessons in a way that may improve students' learning experiences and outcomes. Insights from this study regarding the link between tech use and higher GPAs can help schools design better online classrooms. More personalized and efficient methods of higher education instruction can be a result of the study's impact on educational technology policy decisions.

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“…Tarik Talan, Yunus Doğan, Yusuf Kalinkara facilitating situation, hedonistic motivation, price and habit, which are the components of the model, affect behavioral intention (Ahmed, & Kabir, 2018). Online learning, which has come to the fore due to the pandemic, is carried out with various tools (Kalinkara, & Talan, 2022). One of the tools used in online learning through internet-based learning management systems is Google Classroom.…”

Section: Innoeduca International Journal Of Technology and Educationa...mentioning

confidence: 99%

Digital Natives' Mobile Learning Adoption in terms of UTAUT-2 Model: a Structural Equation Model

Talan,

Doğan,

Kalinkara

2024

IJTEI

Self Cite

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This research investigates university students' intentions and behaviors regarding the adoption of mobile learning tools in higher education, with a focus on the Unified Theory of Acceptance and Use of Technology (UTAUT-2) model. A sample of 541 university students from a state university in the Southeastern Anatolia Region of Turkey participated in this study. Structural equation modeling was employed to assess students' mobile learning adoption levels, and statistical analyses were conducted accordingly. The findings indicate a moderate level of mobile learning adoption among the students. The study reveals that students employ various strategies while using mobile tools for learning. Notably, among digital natives, intention to use mobile devices is significantly influenced by habit, hedonic motivation and effort expectancy. Additionally, the study identifies a significant relationship between the use behavior variable and facilitating conditions. The research also examines regulatory effects within the model, demonstrating that age moderates the relationship between habit and use behavior. Furthermore, gender has a moderating effect on the relationship between facilitating conditions and behavioral intention, as well as between hedonic motivation and behavioral intention. Finally, experience moderates the relationship between habit and use behavior, as well as between behavioral intention and use behavior.

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Rethinking Evaluating the Use of Distance Learning Systems in the Context of the Unified Theory of Acceptance and Use of Technology-2

Cited by 5 publications

References 25 publications

Examining Unified Theory of Acceptance and Use of Technology 2 through Meta-analytic Structural Equation Modelling

Examining Unified Theory of Acceptance and Use of Technology 2 through Meta-analytic Structural Equation Modelling

The level of self-learning ability among university students in the light of dealing with innovative technologies

Digital Natives' Mobile Learning Adoption in terms of UTAUT-2 Model: a Structural Equation Model

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