The Role of Artificial Intelligence in the Adaptation of Students to Virtual Educational Environments DOI
David Hugo Bernedo-Moreira, Yesenia Tania Loayza-Apaza, Jaime Natanael Gonzales López

et al.

Metaverse Basic and Applied Research, Journal Year: 2024, Volume and Issue: 3, P. 124 - 124

Published: Dec. 30, 2024

In recent decades, the accelerated advance of digital technologies has profoundly transformed educational processes, promoting expansion virtual learning environments that transcend physical and temporal barriers.Objective: To determine relationship between role artificial intelligence in adaptation students to environments.Methodology: Quantitative correlational, non-experimental design. Simple random sampling, with a sample 376 university who had studied at least one semester mode. Data collection was done through structured surveys Likert-type scales, designed evaluate use AI tools level students.Results: showed significant student adaptation, facilitating access information offering personalized experiences.Conclusions: enabled personalization experiences, improving accessibility making them more interactive. AI-powered assistants fostered active participation greater understanding content. The importance avoiding over-reliance on interdisciplinary collaboration real-time feedback continuously improve highlighted.

Language: Английский

What is the influence of psychosocial factors on artificial intelligence appropriation in college students? DOI Creative Commons
Benicio Gonzalo Acosta Enríquez, María de los Ángeles Guzmán Valle,

Marco Arbulú Ballesteros

et al.

BMC Psychology, Journal Year: 2025, Volume and Issue: 13(1)

Published: Jan. 4, 2025

In recent years, the adoption of artificial intelligence (AI) has become increasingly relevant in various sectors, including higher education. This study investigates psychosocial factors influencing AI among Peruvian university students and uses an extended UTAUT2 model to examine constructs that may impact acceptance use. employed a quantitative approach with survey-based design. A total 482 from public private universities Peru participated research. The utilized partial least squares structural equation modeling (PLS-SEM) analyze data test hypothesized relationships between constructs. findings revealed three out six significantly influenced students. Performance expectancy (β = 0.274), social influence 0.355), learning self-efficacy 0.431) were found have significant positive effects on adoption. contrast expectations, ethical awareness, perceived playfulness, readiness anxiety did not impacts appropriation this context. highlights importance practical benefits, context, self-confidence within These contribute understanding diverse educational settings provide framework for developing effective implementation strategies education institutions. results can guide policymakers creating targeted approaches enhance integration academic environments, focusing demonstrating value AI, leveraging networks, building students' confidence their ability learn use technologies.

Language: Английский

Citations

0
Exploring knowledge, attitudes, and practices of academics in the field of educational sciences towards using ChatGPT DOI Creative Commons
Burcu Karafil, Ahmet UYAR

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

Published: Jan. 6, 2025

Language: Английский

Citations

0
The Impact of Subjective Well-Being on Sustainable Actions: Resilience as a Mediator Between Spirituality and Happiness in Future Environmental Engineers in Peru DOI Open Access
Moisés David Reyes Pérez, Jhoselit Lisset Facho-Cornejo, Fiorella Li

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(2), P. 708 - 708

Published: Jan. 17, 2025

This study explores the mediating role of resilience in relationship between spirituality and happiness among environmental engineering students northern Peru, emphasizing its implications for sustainability education professional development. Through a quantitative cross-sectional involving 392 from public private universities, two key hypotheses were tested: direct influence on effect resilience. Data gathered using validated instruments, including Personal Spirituality Scale (SPI), Connor-Davidson Brief Resilience (CD-RISC 10), Subjective Happiness (SHS). Structural equation modeling revealed that has significant an indirect through The model showed high explanatory power, with explaining 87% variance resilience, both variables accounting 76% happiness. These findings highlight importance promoting spiritual resilience-building practices as strategies enhancing subjective well-being, critical factor preparing sustainable professionals capable addressing complex challenges. contributes to understanding how resources mechanisms can support development socially psychologically future engineers.

Language: Английский

Citations

0
Ethical challenges and opportunities in ChatGPT integration for education: insights from emerging economy DOI

Romny Ly,

Bora Ly

AI and Ethics, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 2, 2025

Language: Английский

Citations

0
The mediating role of academic stress, critical thinking and performance expectations in the influence of academic self-efficacy on AI dependence: case study in college students. DOI Creative Commons
Benicio Gonzalo Acosta Enríquez, Marco Agustín Arbulú Ballesteros, María de los Ángeles Guzmán Valle

et al.

Computers and Education Artificial Intelligence, Journal Year: 2025, Volume and Issue: unknown, P. 100381 - 100381

Published: Feb. 1, 2025

Language: Английский

Citations

0
Tracing interpersonal emotion regulation, behavioural emotion regulation strategies, hopelessness and vocabulary retention within Bing vs. ChatGPT environments DOI Open Access
Meiping Wang, Shamim Akhter

British Educational Research Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 11, 2025

Abstract Despite the growing integration of artificial intelligence (AI) in language education, limited research has explored its impact on emotional regulation and vocabulary retention, particularly English as a foreign (EFL) contexts. This study addressed this gap by comparing effects Bing ChatGPT environments interpersonal emotion (IER), behavioural strategies (BERS), hopelessness retention among 458 upper‐intermediate Chinese EFL learners. Participants were divided into three groups: Bing, control group (CG) receiving traditional instruction. Both AI‐supported groups engaged with identical content tasks their respective platforms, while CG followed conventional curriculum. A mixed‐methods design was employed, incorporating quantitative pre‐ post‐tests qualitative semi‐structured interviews. The one‐way ANOVA results revealed that both AI significantly outperformed across all measures, no statistical difference between groups. learners conditions reported reduced improved IER BERS, alongside notable retention. In agreement results, findings highlighted engaging supportive nature environments, which led to IER, BERS These suggest integrating tools like classrooms can enhance well‐being acquisition, offering valuable pedagogical insights for educators seeking leverage technology

Language: Английский

Citations

0
Exploring the Determinants of the Sustainable Use of Artificial Intelligence in Peruvian University Teachers: A Structural Equation Modeling Analysis DOI Open Access
Benicio Gonzalo Acosta Enríquez, Moisés David Reyes Pérez, Olger Huamaní Jordan

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(7), P. 2834 - 2834

Published: March 22, 2025

This study examines the determinants of sustainable use artificial intelligence (AI) among university professors in Peru. research adopted a quantitative approach through cross-sectional empirical–explanatory study, employing structural equation model. Data were collected from 368 eight Peruvian universities using structured questionnaire that assessed six main constructs: attitude toward AI, prejudice against facilitating conditions, teaching concerns, and ethical perception. While results reveal significant correlational relationships—with AI showing association with its use, relationship professors’ perceptions—the nature this precludes causal inferences. No was found between concerns. Additionally, demographic variables such as gender age did not exhibit moderating effects. These findings contribute to understanding factors related adoption higher education provide valuable insights for development effective institutional strategies Latin American context.

Language: Английский

Citations

0
Surging currents: a systematic review of the literature on dynamic stakeholder engagements in higher education in the generative artificial intelligence era DOI

Jiaxi Yang,

Han Qiu, Wenxuan Yu

et al.

Journal of Asian Public Policy, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 29

Published: Nov. 23, 2024

As Generative Artificial Intelligence (GAI) rapidly integrates into higher education, a critical question arises: should we focus on the technology's potential or essential role of stakeholders? While GAI offers transformative possibilities, its success hinges students, educators, administrators, and policymakers. This study examines structure these stakeholders patterns relationships between them. Utilizing systematic literature review, screened 224 studies selected 38 key articles to construct hierarchical framework illustrating complex interactions among stakeholders. The research reveals prominence administrators while reflecting increasing attention technology vendors government agencies. Interactions primarily fall four patterns: cooperation, control guidance, support dependency, as well competition conflict. Although existing extensively discusses GAI's potential, this argues that in-depth analyses stakeholder roles are lacking, particularly given real-world complexities. Future explore multidimensional promote responsible effective use in education.

Language: Английский

Citations

2
Exploring Greek Students’ Attitudes Toward Artificial Intelligence: Relationships with AI Ethics, Media, and Digital Literacy DOI Creative Commons

Asimina Saklaki,

Antonis Gardikiotis

Societies, Journal Year: 2024, Volume and Issue: 14(12), P. 248 - 248

Published: Nov. 23, 2024

This exploratory study (N = 310) investigates the relationship between students’ attitudes toward artificial intelligence (AI), their AI ethics, and media digital literacy levels. study’s specific objectives were to examine (a) general AI, (b) (c) two, (d) whether are associated with literacy. Participants, drawn from a convenience sample of university students, completed an online survey including four scales: attitude scale (including two subscales, positive negative attitudes), ethics accountable non-accountable use), scale, alongside demographic information. The findings revealed that students held moderate strong favoring use. Interestingly, was positively related use negatively whereas attitudes, AI. These carry significant theoretical implications by highlighting unique distinct literacies (digital media) attitudes. They also offer practical insights for educators, technology designers, administrators, emphasizing need address ethical considerations in deployment.

Language: Английский

Citations

1
The Role of Artificial Intelligence in the Adaptation of Students to Virtual Educational Environments DOI
David Hugo Bernedo-Moreira, Yesenia Tania Loayza-Apaza, Jaime Natanael Gonzales López

et al.

Metaverse Basic and Applied Research, Journal Year: 2024, Volume and Issue: 3, P. 124 - 124

Published: Dec. 30, 2024

In recent decades, the accelerated advance of digital technologies has profoundly transformed educational processes, promoting expansion virtual learning environments that transcend physical and temporal barriers.Objective: To determine relationship between role artificial intelligence in adaptation students to environments.Methodology: Quantitative correlational, non-experimental design. Simple random sampling, with a sample 376 university who had studied at least one semester mode. Data collection was done through structured surveys Likert-type scales, designed evaluate use AI tools level students.Results: showed significant student adaptation, facilitating access information offering personalized experiences.Conclusions: enabled personalization experiences, improving accessibility making them more interactive. AI-powered assistants fostered active participation greater understanding content. The importance avoiding over-reliance on interdisciplinary collaboration real-time feedback continuously improve highlighted.

Language: Английский

Citations

0