Journal of the Korean earth science society, Год журнала: 2024, Номер 45(6), С. 586 - 599
Опубликована: Дек. 30, 2024
Язык: Английский
Journal of the Korean earth science society, Год журнала: 2024, Номер 45(6), С. 586 - 599
Опубликована: Дек. 30, 2024
Язык: Английский
Journal of AI, Год журнала: 2024, Номер 8(1), С. 45 - 60
Опубликована: Апрель 25, 2024
This study investigated the engagement of Pre-Service Teachers (PSTs) with Generative AI (GAI) tools in their research projects, focusing on awareness, source usage pattern based gender, and views GAI academic research. We adopted a descriptive survey method to collect data from one hundred four PSTs across five institutions Ghana using five-point Likert-type instrument, which included an open-ended question. The quantitative were analyzed means, frequencies, percentages, standard deviations, independent samples t-test. findings revealed that are familiar tools, especially ChatGPT Google Bard. They learned about these through personal searches, recommendations friends, social media platforms. used writing all chapters Introduction Chapter being most common area application, followed by Discussion Findings Chapter, Literature Review Methodology, Summary Conclusion. also identified significant gender disparity use male exhibiting higher frequency compared female counterparts. Nonetheless, both genders expressed positive attitude towards research, noting among other benefits provided them confidence independence writing. However, they recognized inaccuracies information led skepticism relying solely for projects. Consequently, preference support supervisors, highlighting importance balanced approach combines human supervision While we recommend integrating teacher education programs, strongly suggest such integration should be complemented comprehensive guidance how can effectively conduct original advanced
Язык: Английский
Процитировано
9Journal of Science Education and Technology, Год журнала: 2024, Номер unknown
Опубликована: Ноя. 18, 2024
Язык: Английский
Процитировано
9Computers & Education, Год журнала: 2024, Номер unknown, С. 105224 - 105224
Опубликована: Дек. 1, 2024
Язык: Английский
Процитировано
5Sustainability, Год журнала: 2025, Номер 17(3), С. 1127 - 1127
Опубликована: Янв. 30, 2025
Generative artificial intelligence (GenAI) technologies based on big language models are becoming a transformative power that reshapes the future shape of education. Although impact GenAI education is key issue, there little exploration challenges and response strategies sustainability from public perspective. This data mining study selected ChatGPT as representative tool for GenAI. Five topics 14 modular semantic communities attitudes towards using in were identified through Latent Dirichlet Allocation (LDA) topic modeling network community discovery process 40,179 user comments collected social media platforms. The results indicate ambivalence about whether technology empowering or disruptive to On one hand, recognizes potential education, including intelligent tutoring, role-playing, personalized services, content creation, learning, where effective communication interaction can stimulate users’ creativity. other worried technological dependence development innovative capabilities, erosion traditional knowledge production by AI-generated (AIGC), undermining educational equity cheating, substitution students passing good performance skills tests. In addition, some irresponsible unethical usage behaviors identified, direct use AIGC pass similarity checks. provides practical basis institutions re-examine teaching learning approaches, assessment strategies, talent goals formulate policies AI promote vision sustainable
Язык: Английский
Процитировано
0Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Education and Information Technologies, Год журнала: 2025, Номер unknown
Опубликована: Март 12, 2025
Язык: Английский
Процитировано
0Sustainability, Год журнала: 2025, Номер 17(7), С. 2962 - 2962
Опубликована: Март 27, 2025
As AI integration in education increases, it is crucial to evaluate its effectiveness elementary science learning, particularly promoting sustainable through equitable access knowledge. This study aims assess the validity and applicability of ChatGPT3.5 (free version) responses Earth Space science. A document analysis 1200 AI-generated was conducted scientific validity, explanatory clarity, pedagogical relevance. The employed quantitative methods accuracy alignment with curricula, while qualitative insights identified linguistic conceptual challenges. findings indicate that 94.2% were scientifically valid, 70.6% clear, but only 12.8% aligned curricula. While ChatGPT provides accurate information, many included complex terminology unsuitable for young learners. Additionally, 87.2% lacked posing challenges effective classroom integration. Despite these limitations, shows potential simplifying concepts expanding educational resources. Refining content curriculum-based filtering, adaptive language processing, teacher mediation necessary. Strengthening AI-driven strategies a sustainability focus can ensure long-term improvements learning. highlights need further research on optimizing tools education.
Язык: Английский
Процитировано
0Thinking Skills and Creativity, Год журнала: 2024, Номер 53, С. 101598 - 101598
Опубликована: Авг. 6, 2024
Язык: Английский
Процитировано
2Lecture notes in networks and systems, Год журнала: 2024, Номер unknown, С. 330 - 344
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
1SSRN Electronic Journal, Год журнала: 2023, Номер unknown
Опубликована: Янв. 1, 2023
Язык: Английский
Процитировано
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