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

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

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

The double-edged sword of ChatGPT: fostering and hindering creativity in postgraduate academics in Bengaluru DOI
Shivakami Rajan,

L. R. Niranjan

International Journal of Educational Management, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 29, 2025

Purpose This research examines the complex relationship between usage of Chat Generative Pre-Trained Transformer (ChatGPT) amongst student and their creativity, learning assessment using empirical data collected from postgraduate students. In addition, study explores student’s intrinsic motivation for to understand categories. seeks provide further insights into this artificial intelligence tool in enhancing educational ecosystem all stakeholders concerned. Design/methodology/approach The target population – students post-graduation diverse fields science management. A five-point Likert scale-structured questionnaire adapted earlier literature relevant questions was adopted collection. were two months, resulted 403 usable responses. Ethical considerations assurance confidentiality participants strictly adhered to. Structured equation modelling (SEM) employed explore relationships constructs latent relationships. SmartPLS 4 used these Findings Usage has a negative impact on but increased ChatGPT encourages adoption due its perceived usability. Pedagogical applications aid as require controlled under supervision. Originality/value is innovative context students, where very little evidence creativity exists. Through research, authors illuminate how use affects academic performance, benefiting educators evaluation assessment, policymakers findings implications that help create effective digital education strategies stakeholders.

Language: Английский

Citations

1
The effect of generative AI use on doctoral students’ academic research progress: the moderating role of hedonic gratification DOI Creative Commons
Denis Samwel Ringo

Cogent Education, Journal Year: 2025, Volume and Issue: 12(1)

Published: March 6, 2025

Language: Английский

Citations

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

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

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