Published: Jan. 1, 2024
Language: Английский
Studies In Educational Evaluation, Journal Year: 2024, Volume and Issue: 83, P. 101395 - 101395
Published: Aug. 29, 2024
Language: Английский
Citations
15
npj Science of Learning, Journal Year: 2024, Volume and Issue: 9(1)
Published: Aug. 6, 2024
With the opportunities and challenges stemming from artificial intelligence developments its integration into society, AI literacy becomes a key concern. Utilizing quality instruments is crucial for understanding promoting development. This systematic review assessed of scales using COSMIN tool aiming to aid researchers in choosing assessment. identified 22 studies validating 16 targeting various populations including general population, higher education students, secondary teachers. Overall, demonstrated good structural validity internal consistency. On other hand, only few have been tested content validity, reliability, construct responsiveness. None cross-cultural measurement error. Most did not report any interpretability indicators almost none had raw data available. There are 3 performance-based scale available, compared 13 self-report scales.
Language: Английский
Citations
14
Social Sciences, Journal Year: 2024, Volume and Issue: 13(8), P. 410 - 410
Published: Aug. 7, 2024
In this paper, the effects of rapid advancement generative artificial intelligence (Gen AI) in higher education (HE) are discussed. A mixed exploratory research approach was employed to understand these impacts, combining analysis current trends and students’ perceptions Gen AI tools academia. Through bibliometric systematic literature review, 64 publications (indexed SCOPUS Web Science databases) were examined, highlighting AI’s disruptive effect on pedagogical aspects HE. The impacts identified by compared with held computer science students two different HE institutions (HEIs) topic. An study developed based application a questionnaire group 112 students. results suggest that while can enhance academic work learning feedback, it requires appropriate support foster critical, ethical, digital literacy competencies. Students demonstrate awareness both risks benefits associated settings. concludes failing recognize effectively use impedes educational progress adequate preparation citizens workers think act an AI-mediated world.
Language: Английский
Citations
13
Education and Information Technologies, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 22, 2024
Language: Английский
Citations
9
Contemporary Educational Technology, Journal Year: 2025, Volume and Issue: 17(2), P. ep565 - ep565
Published: Jan. 30, 2025
This investigation aimed to ascertain latent profiles of university students predicated on fundamental factors influencing their intentions acquire knowledge in artificial intelligence (AI). The study scrutinized four dimensions: supportive social norms, facilitating conditions, self-efficacy AI learning, and perceived utility AI. Through the utilization profile analysis (LPA), endeavored unveil distinct subgroups delineated by unique amalgamations these factors. was carried out with a cohort 391 from diverse academic disciplines. LPA disclosed five students: Cautious Participants, Enthusiastic Advocates, Reserved Skeptics, Pragmatic Acceptors, Disengaged Critics. These categories showed somewhat different goals learn AI; Advocates highest intention while Critics lowest. findings enhance growing corpus research education higher providing sophisticated variation among about attitudes preparedness Subgroups show that learners need educational strategies interventions meet needs attitudes. is changing many fields, therefore college must it prepare for it. advance impact curriculum policy.
Language: Английский
Citations
1
The Internet and Higher Education, Journal Year: 2025, Volume and Issue: unknown, P. 100996 - 100996
Published: Jan. 1, 2025
Language: Английский
Citations
1
Smart Learning Environments, Journal Year: 2024, Volume and Issue: 11(1)
Published: Aug. 5, 2024
Abstract Generative Artificial Intelligence (GAI) holds promise for enhancing the educational experience by providing personalized feedback and interactive simulations. While its integration into classrooms would improve education, concerns about how students may use AI in class has prompted research on perceptions related to intention implement GAI, such as perceived benefits, limitations associated risks teaching learning practices. This study examines of GAI among 366 United Arab Emirates based survey results. To do that, initially factor analysis was utilized identify relevant scales, followed comparing mean values each scale extent agreement with statement regarding students' willingness ChatGPT. The revealed a high awareness respondents limitations, using confirms that potential benefits is ChatGPT future. Contrary expectations, positive relationship found between ChatGPT, challenging traditional views act barriers. Similarly, positively suggesting nuanced risk perception technology adoption education.The current provides new insights importance informing individuals addition these factors are closely making decision further usage.
Language: Английский
Citations
7
Information, Journal Year: 2024, Volume and Issue: 15(11), P. 676 - 676
Published: Oct. 28, 2024
(1) Background: The development of generative artificial intelligence (GAI) is transforming higher education. This systematic literature review synthesizes recent empirical studies on the use GAI, focusing its impact teaching, learning, and institutional practices. (2) Methods: Following PRISMA guidelines, a comprehensive search strategy was employed to locate scientific articles GAI in education published by Scopus Web Science between January 2023 2024. (3) Results: identified 102 articles, with 37 meeting inclusion criteria. These were grouped into three themes: application technologies, stakeholder acceptance perceptions, specific situations. (4) Discussion: Key findings include GAI’s versatility potential use, student acceptance, educational enhancement. However, challenges such as assessment practices, strategies, risks academic integrity also noted. (5) Conclusions: help identify directions for future research, including pedagogical ethical considerations policy development, teaching learning processes, perceptions students instructors, technological advancements, preparation skills workforce readiness. study has certain limitations, particularly due short time frame criteria, which might have varied if conducted different researchers.
Language: Английский
Citations
6
Computers in Human Behavior Reports, Journal Year: 2024, Volume and Issue: 17, P. 100539 - 100539
Published: Dec. 7, 2024
Language: Английский
Citations
6
System, Journal Year: 2025, Volume and Issue: unknown, P. 103597 - 103597
Published: Jan. 1, 2025
Language: Английский
Citations
0