Cyberpsychology: Validity of the AI Chatbots Usage Scale for University Students DOI
Ashraf Ibrahim, Mohamed Nemt-allah

Published: April 18, 2025

Abstract This study developed and validated the AI Chatbots Usage Scale for assessing university students' engagement with artificial intelligence chatbots in higher education. The research employed a quantitative methodology 374 male undergraduate students from Al-Azhar university. Through rigorous psychometric analysis, including exploratory confirmatory factor analyses, four-factor structure emerged: Ease of Use, Perceived Usefulness, Trust, Accessibility. scale demonstrated excellent reliability (McDonald's ω = .911, Cronbach's α .911) strong construct validity, supported by good model fit indices (CMIN/DF 1.622, CFI .940, RMSEA .041). Factor analysis revealed that four dimensions collectively explained 47.360% total variance, loadings ranging .519 to .729. final 27-item showed robust internal consistency across all factors, highest mean scores observed Use (M 29.07, SD 6.02) strongest correlation between Trust Usefulness (.899). These findings provide educators researchers instrument measuring chatbot usage academic settings, while offering insights improving implementation strategies scale's properties support its utility evaluating enhancing integration educational contexts.

Language: Английский

Extending the Technology Acceptance Model: The Role of Subjective Norms, Ethics, and Trust in AI Tool Adoption Among Students DOI Creative Commons
Rochman Hadi Mustofa,

Trian Gigih Kuncoro,

Dwi Atmono

et al.

Computers and Education Artificial Intelligence, Journal Year: 2025, Volume and Issue: unknown, P. 100379 - 100379

Published: Feb. 1, 2025

Language: Английский

Citations

2
College Students’ Use and Perceptions of AI Tools in the UAE: Motivations, Ethical Concerns and Institutional Guidelines DOI Creative Commons
Ahmed Swidan, Sang Yeal Lee, Samar Ben Romdhane

et al.

Education Sciences, Journal Year: 2025, Volume and Issue: 15(4), P. 461 - 461

Published: April 8, 2025

This survey study aims to understand how college students use and perceive artificial intelligence (AI) tools in the United Arab Emirates (UAE). It reports students’ use, perceived motivations, ethical concerns these variables are interrelated. Responses (n = 822) were collected from seven universities five UAE emirates. The findings show widespread of AI (79.6%), with various factors affecting perceptions about tools. Students also raised lack guidance on using Furthermore, mediation analyses revealed underlining psychological mechanisms pertaining tool adoption: benefits fully mediated relationship between knowledge usefulness perceptions, peer pressure academic stress adoption intent, support for institutional regulations. this provide implications opportunities challenges posed by higher education. is one first empirical insights into tools, examining models explore complexity their concerns, guidance. Ultimately, offers data education institutions policymakers student perspectives UAE.

Language: Английский

Citations

0
Cyberpsychology: Validity of the AI Chatbots Usage Scale for University Students DOI
Ashraf Ibrahim, Mohamed Nemt-allah

Published: April 18, 2025

Abstract This study developed and validated the AI Chatbots Usage Scale for assessing university students' engagement with artificial intelligence chatbots in higher education. The research employed a quantitative methodology 374 male undergraduate students from Al-Azhar university. Through rigorous psychometric analysis, including exploratory confirmatory factor analyses, four-factor structure emerged: Ease of Use, Perceived Usefulness, Trust, Accessibility. scale demonstrated excellent reliability (McDonald's ω = .911, Cronbach's α .911) strong construct validity, supported by good model fit indices (CMIN/DF 1.622, CFI .940, RMSEA .041). Factor analysis revealed that four dimensions collectively explained 47.360% total variance, loadings ranging .519 to .729. final 27-item showed robust internal consistency across all factors, highest mean scores observed Use (M 29.07, SD 6.02) strongest correlation between Trust Usefulness (.899). These findings provide educators researchers instrument measuring chatbot usage academic settings, while offering insights improving implementation strategies scale's properties support its utility evaluating enhancing integration educational contexts.

Language: Английский

Citations

0