Predicting students’ continued intention to use E-learning platform for college English study: the mediating effect of E-satisfaction and habit DOI Creative Commons
Ping Deng, Bing Chen, Li Wang

et al.

Frontiers in Psychology, Journal Year: 2023, Volume and Issue: 14

Published: June 23, 2023

Using technology in education facilitates knowledge dissemination expediently while broadening and deepening learning modes content diversity. As an information technological innovation, E-learning platform is widely used to learn college English. However, few studies have explored the motivations for students' e-satisfaction continued intention towards using it English study. Based on extended Unified Theory of Acceptance Use Technology (UTAUT2), this study identifies influencing factors usage tests mediating role habit. Six hundred twenty-six usable responses from Guangxi were analyzed with partial least squares structural equation modelling. Results show that performance expectancy, value, hedonic motivation habit positively affects intention, mediates relationship between antecedents intention. The research provides guidelines successful implementation e-learning key references improvement engagement satisfaction experience

Language: Английский

Transformative learning with ChatGPT: analyzing adoption trends and implications for business management students in India DOI
Tapas Sudan,

Arjun Hans,

Rashi Taggar

et al.

Interactive Technology and Smart Education, Journal Year: 2024, Volume and Issue: 21(4), P. 735 - 772

Published: July 13, 2024

Purpose The intricate dynamics of ChatGPT adoption among Indian students are discussed while exploring the factors outlined by Unified Theory Acceptance and Use Technology 2 (UTAUT2). By assessing these factors, this study aims to unravel their impact on behavioral intention use ChatGPT. Design/methodology/approach While evaluating ChatGPT's dynamics, analyses UTAUT2 core perceived benefits. Real-time data from 638 business management in India were collected through purposive sampling a cross-sectional survey. An in-depth examination using IBM SPSS AMOS revealed patterns that regulate reception educational settings. Findings Habit emerges as powerful predictor, which aligns with Loop Theory's cues, routine rewards. Perceived benefits significantly influence adoption, traditional like performance expectancy social exert no influence. insignificance effort challenges conventional understanding, unveiling novel aspects student tech adoption. Social implications There is need for guidelines ensure fair responsible students. presents advantages task automation personalized learning, integrating it into existing education system requires careful planning harness its effectively. Originality/value With recent introduction Generative-AI tools, understanding acceptance application essential. This research sheds light emerging technology, emphasizing importance analyzing technology successful

Language: Английский

Citations

5

Proposing a conceptual model for the adoption of artificial intelligence by teachers in STEM education DOI
Hüseyin Ateş, Cengiz GÜNDÜZALP

Interactive Learning Environments, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 27

Published: Feb. 19, 2025

Language: Английский

Citations

0

A context-specific analysis of translation technology usage behavior among college EFL students: Insights from the UTAUT2 model DOI
Junfeng Zhao, Xiang Li,

Hong Liao

et al.

Education and Information Technologies, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 27, 2025

Language: Английский

Citations

0

Exploring the determinants on continuance participation of college students toward blended learning: the stimulating role of course characteristics and instructor support DOI Creative Commons
Maoyan She, Yiyi Xu, Zhigang Li

et al.

Frontiers in Psychology, Journal Year: 2025, Volume and Issue: 16

Published: April 11, 2025

Background Blended learning (BL) has become an important method in the high education with rapid advancement of “Internet + Education,” however, college students face notable challenges, such as dropout rates, low participation and persistence, which largely reduce effect BL. Therefore, it is necessary to deeply analyze question: “What factors will influence students’ continuance behavior blended (CBBL)?” Methods Based on stimulus-organism-response (SOR) framework social cognitive theory, this study constructs integrated model “ Contextual facilitators–Individual characteristics–Continuance ,” examine relationships among course characteristics (BCC), instructor support (IST), individual attributes, motivation (LM), self-efficacy (SEF) engagement (LET), CBBL. Colleting 466 College who participated BL through Chinese university MOOCs, structural equation modeling (SEM) approach was used test proposed hypotheses. Results The empirical results indicating that, (1) explains 62.85% variance CBBL, LM, SEF, LET emerge key determinants influencing (2) BCC positively affects LM but no significant promotes CBBL rather than SEF. (3) ITS exerts a LET, most pronounced impact LET. Moreover, significantly facilitates via Originality/value This theoretically contributes literature extends application scope SOR framework. Also, reveals antecedents environment, crucial for guiding their promoting sustainable development education.

Language: Английский

Citations

0

Predicting students’ continued intention to use E-learning platform for college English study: the mediating effect of E-satisfaction and habit DOI Creative Commons
Ping Deng, Bing Chen, Li Wang

et al.

Frontiers in Psychology, Journal Year: 2023, Volume and Issue: 14

Published: June 23, 2023

Using technology in education facilitates knowledge dissemination expediently while broadening and deepening learning modes content diversity. As an information technological innovation, E-learning platform is widely used to learn college English. However, few studies have explored the motivations for students' e-satisfaction continued intention towards using it English study. Based on extended Unified Theory of Acceptance Use Technology (UTAUT2), this study identifies influencing factors usage tests mediating role habit. Six hundred twenty-six usable responses from Guangxi were analyzed with partial least squares structural equation modelling. Results show that performance expectancy, value, hedonic motivation habit positively affects intention, mediates relationship between antecedents intention. The research provides guidelines successful implementation e-learning key references improvement engagement satisfaction experience

Language: Английский

Citations

12