Generative artificial intelligence (AI) in higher education: a comprehensive review of challenges, opportunities, and implications DOI Creative Commons
Michal Bobula

Journal of Learning Development in Higher Education, Год журнала: 2024, Номер 30

Опубликована: Март 27, 2024

This paper explores recent advancements and implications of artificial intelligence (AI) technology, with a specific focus on Large Language Models (LLMs) like ChatGPT 3.5, within the realm higher education. Through review academic literature, this highlights unprecedented growth these models their wide-reaching impact across various sectors. The discussion sheds light complex issues potential benefits presented by LLMs, providing overview field's current state. In context education, challenges opportunities posed LLMs. These include related to educational assessment, threats integrity, privacy concerns, propagation misinformation, EDI aspects, copyright concerns inherent biases models. While are multifaceted significant, emphasizes availability strategies address them effectively facilitate successful adoption LLMs in settings. Furthermore, recognises transform It emphasises need update assessment policies, develop guidelines for staff students, scaffold AI skills development, find ways leverage technology classroom. By proactively pursuing steps, education institutions (HEIs) can harness full while managing responsibly. conclusion, urges HEIs allocate resources handle effectively. includes ensuring readiness taking steps modify study programmes align evolving landscape influenced emerging technologies.

Язык: Английский

Exploring STEAM teachers’ trust in AI-based educational technologies: a structural equation modelling approach DOI Creative Commons
Musa Adekunle Ayanwale, Owolabi Paul Adelana,

Tolulope Timothy Odufuwa

и другие.

Discover Education, Год журнала: 2024, Номер 3(1)

Опубликована: Апрель 26, 2024

Abstract In the rapidly evolving landscape of education, Artificial Intelligence (AI) has emerged as a transformative tool with potential to revolutionize teaching and learning processes. However, successful integration AI in education depends on trust acceptance teachers. This study addresses significant gap research by investigating dynamics 677 in-service Science, Technology, Engineering, Arts, Mathematics (STEAM) teachers Nigeria towards AI-based educational technologies. Employing structural equation modelling for data analysis, our findings reveal that anxiety, preferred methods increase trust, perceived benefits significantly influence teachers' edtech. Notably, lack human characteristics does not impact among STEAM Additionally, reports gender moderation effect AI. These insights are valuable policymakers stakeholders aiming create an inclusive, AI-enriched instructional environment. The results underscore importance continuous professional development programs teachers, emphasizing hands-on experiences build sustain confidence integrating tools effectively, thus fostering potentials education.

Язык: Английский

Процитировано

26

Artificial Intelligence Supporting Independent Student Learning: An Evaluative Case Study of ChatGPT and Learning to Code DOI Creative Commons
Kendall Hartley, ‪Merav Hayak‬‏,

Un Hyeok Ko

и другие.

Education Sciences, Год журнала: 2024, Номер 14(2), С. 120 - 120

Опубликована: Янв. 24, 2024

Artificial intelligence (AI) tools like ChatGPT demonstrate the potential to support personalized and adaptive learning experiences. This study explores how can facilitate self-regulated processes computer programming. An evaluative case design guided investigation of ChatGPT’s capabilities aid independent learning. Prompts mapped elicited across tools: instructional materials, content tools, assessments, planning. Overall, provided comprehensive, tailored guidance on programming concepts practices. It consolidated multimodal information sources into integrated explanations with examples. also effectively assisted planning by generating detailed schedules. However, its interactivity assessment functionality demonstrated shortcomings. effectiveness relies learners’ metacognitive skills seek help assess limitations. The implications include provide Bloom’s two-sigma tutoring benefit at scale.

Язык: Английский

Процитировано

21

Gen-AI integration in higher education: Predicting intentions using SEM-ANN approach DOI

K. Keerthi Jain,

J. Naga Venkata Raghuram

Education and Information Technologies, Год журнала: 2024, Номер 29(13), С. 17169 - 17209

Опубликована: Фев. 21, 2024

Язык: Английский

Процитировано

17

Incorporating AIGC into design ideation: A study on self-efficacy and learning experience acceptance under higher-order thinking DOI
Kuo-Liang Huang, Yichen Liu, Mingqing Dong

и другие.

Thinking Skills and Creativity, Год журнала: 2024, Номер 52, С. 101508 - 101508

Опубликована: Март 14, 2024

Язык: Английский

Процитировано

17

Generative artificial intelligence (AI) in higher education: a comprehensive review of challenges, opportunities, and implications DOI Creative Commons
Michal Bobula

Journal of Learning Development in Higher Education, Год журнала: 2024, Номер 30

Опубликована: Март 27, 2024

This paper explores recent advancements and implications of artificial intelligence (AI) technology, with a specific focus on Large Language Models (LLMs) like ChatGPT 3.5, within the realm higher education. Through review academic literature, this highlights unprecedented growth these models their wide-reaching impact across various sectors. The discussion sheds light complex issues potential benefits presented by LLMs, providing overview field's current state. In context education, challenges opportunities posed LLMs. These include related to educational assessment, threats integrity, privacy concerns, propagation misinformation, EDI aspects, copyright concerns inherent biases models. While are multifaceted significant, emphasizes availability strategies address them effectively facilitate successful adoption LLMs in settings. Furthermore, recognises transform It emphasises need update assessment policies, develop guidelines for staff students, scaffold AI skills development, find ways leverage technology classroom. By proactively pursuing steps, education institutions (HEIs) can harness full while managing responsibly. conclusion, urges HEIs allocate resources handle effectively. includes ensuring readiness taking steps modify study programmes align evolving landscape influenced emerging technologies.

Язык: Английский

Процитировано

15