Towards Responsible AI in Education: Challenges and Implications for Research and Practice DOI Creative Commons
Teresa Cerratto Pargman, Cormac McGrath, Marcelo Milrad

et al.

Computers and Education Artificial Intelligence, Journal Year: 2024, Volume and Issue: unknown, P. 100345 - 100345

Published: Dec. 1, 2024

Language: Английский

A Cross-National Assessment of Artificial Intelligence (AI) Chatbot User Perceptions in Collegiate Physics Education. DOI Creative Commons

Benjamin Osafo Agyare,

Joseph Asare, A. F. Kraishan

et al.

Computers and Education Artificial Intelligence, Journal Year: 2025, Volume and Issue: unknown, P. 100365 - 100365

Published: Jan. 1, 2025

Language: Английский

Citations

2

A systematic literature review on the application of generative artificial intelligence (GAI) in teaching within higher education: Instructional contexts, process, and strategies DOI
Peijun Wang, Yuhui Jing, Shusheng Shen

et al.

The Internet and Higher Education, Journal Year: 2025, Volume and Issue: unknown, P. 100996 - 100996

Published: Jan. 1, 2025

Language: Английский

Citations

1

Does ChatGPT enhance student learning? A systematic review and meta-analysis of experimental studies DOI Creative Commons
Ruiqi Deng,

Mingyu Jiang,

Xiao Yu

et al.

Computers & Education, Journal Year: 2024, Volume and Issue: unknown, P. 105224 - 105224

Published: Dec. 1, 2024

Language: Английский

Citations

6

Can AI replace humans? Comparing the capabilities of AI tools and human performance in a business management education scenario DOI Creative Commons

Dinuka B. Herath,

Egena Ode, Gayanga Bandara Herath

et al.

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

Published: Jan. 2, 2025

Abstract This study provides a comparative assessment of the capabilities leading artificial intelligence (AI) tools and human participants in business management education context. Specifically, we (a) assess how well current language models perform providing answers to standardised essay‐type assessments context, (b) examine efficacy emergent detecting AI‐generated texts (c) evaluate online AI rewriting paraphrasing their evading detection. Using an exploratory qualitative design, this generated evaluated 15 standard essays using ChatGPT ( n = 5), Bard 5) 5). A comparison is provided between average performance AI‐derived that ChatGPT‐generated across all five essays. The results suggest content can achieve reasonably high marks assessments. According findings study, AI's highly influenced by types prompts used, user's experience degree which user discern relevant irrelevant content. findings, Turnitin's detection tool effective at has been created AI, but effectiveness reduced rewriters. Turnitin tool, however, significantly more identifying compared with ChatGPT. results, produced better when clear outlined topic expectations, divided tasks into sections fed conversational manner train model. By utilising chatbots effectively, traditional teaching methods be supplemented targeted engaging learning experiences.

Language: Английский

Citations

0

Venturing into the Unknown: Critical Insights into Grey Areas and Pioneering Future Directions in Educational Generative AI Research DOI
Junhong Xiao, Aras Bozkurt, Mark Nichols

et al.

TechTrends, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 19, 2025

Language: Английский

Citations

0

Fostering language student teachers’ transformative agency for embracing GenAI: A formative intervention DOI Creative Commons
Hongzhi Yang, Lina Markauskaitė

Teaching and Teacher Education, Journal Year: 2025, Volume and Issue: 159, P. 104980 - 104980

Published: March 12, 2025

Language: Английский

Citations

0

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

Modeling AI-assisted writing: How self-regulated learning influences writing outcomes DOI
Fangzhou Jin, Chin‐Hsi Lin,

Chun Lai

et al.

Computers in Human Behavior, Journal Year: 2024, Volume and Issue: 165, P. 108538 - 108538

Published: Dec. 12, 2024

Language: Английский

Citations

4

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

Towards Responsible AI in Education: Challenges and Implications for Research and Practice DOI Creative Commons
Teresa Cerratto Pargman, Cormac McGrath, Marcelo Milrad

et al.

Computers and Education Artificial Intelligence, Journal Year: 2024, Volume and Issue: unknown, P. 100345 - 100345

Published: Dec. 1, 2024

Language: Английский

Citations

0