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

и другие.

Computers and Education Artificial Intelligence, Год журнала: 2024, Номер unknown, С. 100345 - 100345

Опубликована: Дек. 1, 2024

Язык: Английский

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

и другие.

The Internet and Higher Education, Год журнала: 2025, Номер unknown, С. 100996 - 100996

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

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

Mingyu Jiang,

Xiao Yu

и другие.

Computers & Education, Год журнала: 2024, Номер unknown, С. 105224 - 105224

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

5

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

и другие.

British Educational Research Journal, Год журнала: 2025, Номер unknown

Опубликована: Янв. 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.

Язык: Английский

Процитировано

0

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

и другие.

Computers and Education Artificial Intelligence, Год журнала: 2025, Номер unknown, С. 100365 - 100365

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

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

и другие.

TechTrends, Год журнала: 2025, Номер unknown

Опубликована: Фев. 19, 2025

Язык: Английский

Процитировано

0

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

Teaching and Teacher Education, Год журнала: 2025, Номер 159, С. 104980 - 104980

Опубликована: Март 12, 2025

Язык: Английский

Процитировано

0

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

Chun Lai

и другие.

Computers in Human Behavior, Год журнала: 2024, Номер 165, С. 108538 - 108538

Опубликована: Дек. 12, 2024

Язык: Английский

Процитировано

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

и другие.

Journal of Asian Public Policy, Год журнала: 2024, Номер unknown, С. 1 - 29

Опубликована: Ноя. 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.

Язык: Английский

Процитировано

2

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

и другие.

Computers and Education Artificial Intelligence, Год журнала: 2024, Номер unknown, С. 100345 - 100345

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

0