Generative AI in Education: Perspectives Through an Academic Lens DOI Open Access
Iulian Întorsureanu, Simona‐Vasilica Oprea, Adela Bârã

и другие.

Electronics, Год журнала: 2025, Номер 14(5), С. 1053 - 1053

Опубликована: Март 6, 2025

In this paper, we investigated the role of generative AI in education academic publications extracted from Web Science (3506 records; 2019–2024). The proposed methodology included three main streams: (1) Monthly analysis trends; top-ranking research areas, keywords and universities; frequency over time; a keyword co-occurrence map; collaboration networks; Sankey diagram illustrating relationship between AI-related terms, publication years areas; (2) Sentiment using custom list words, VADER TextBlob; (3) Topic modeling Latent Dirichlet Allocation (LDA). Terms such as “artificial intelligence” “generative artificial were predominant, but they diverged evolved time. By 2024, applications had branched into specialized fields, including educational research, computer science, engineering, psychology, medical informatics, healthcare sciences, general medicine surgery. sentiment reveals growing optimism regarding education, with steady increase positive 2023 to while maintaining predominantly neutral tone. Five topics derived based on an most relevant terms by LDA: Gen-AI’s impact research; ChatGPT tool for university students teachers; Large language models (LLMs) prompting computing education; (4) Applications patient (5) ChatGPT’s performance examinations. identified several emerging topics: discipline-specific application LLMs, multimodal gen-AI, personalized learning, peer or tutor cross-cultural multilingual tools aimed at developing culturally content supporting teaching lesser-known languages. Further, gamification involves designing interactive storytelling adaptive games enhance engagement hybrid human–AI classrooms explore co-teaching dynamics, teacher–student relationships classroom authority.

Язык: Английский

Generative AI in Education: Perspectives Through an Academic Lens DOI Open Access
Iulian Întorsureanu, Simona‐Vasilica Oprea, Adela Bârã

и другие.

Electronics, Год журнала: 2025, Номер 14(5), С. 1053 - 1053

Опубликована: Март 6, 2025

In this paper, we investigated the role of generative AI in education academic publications extracted from Web Science (3506 records; 2019–2024). The proposed methodology included three main streams: (1) Monthly analysis trends; top-ranking research areas, keywords and universities; frequency over time; a keyword co-occurrence map; collaboration networks; Sankey diagram illustrating relationship between AI-related terms, publication years areas; (2) Sentiment using custom list words, VADER TextBlob; (3) Topic modeling Latent Dirichlet Allocation (LDA). Terms such as “artificial intelligence” “generative artificial were predominant, but they diverged evolved time. By 2024, applications had branched into specialized fields, including educational research, computer science, engineering, psychology, medical informatics, healthcare sciences, general medicine surgery. sentiment reveals growing optimism regarding education, with steady increase positive 2023 to while maintaining predominantly neutral tone. Five topics derived based on an most relevant terms by LDA: Gen-AI’s impact research; ChatGPT tool for university students teachers; Large language models (LLMs) prompting computing education; (4) Applications patient (5) ChatGPT’s performance examinations. identified several emerging topics: discipline-specific application LLMs, multimodal gen-AI, personalized learning, peer or tutor cross-cultural multilingual tools aimed at developing culturally content supporting teaching lesser-known languages. Further, gamification involves designing interactive storytelling adaptive games enhance engagement hybrid human–AI classrooms explore co-teaching dynamics, teacher–student relationships classroom authority.

Язык: Английский

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