Chemistry Teacher International, Год журнала: 2024, Номер 6(4), С. 337 - 339
Опубликована: Дек. 1, 2024
Abstract This special issue is deciated to the teaching of ethics in chemistry education. In this editorial articles are introduced. A short explanation how they fit into specific given.
Язык: Английский
CTE Workshop Proceedings, Год журнала: 2025, Номер unknown
Опубликована: Март 11, 2025
The emergence of generative artificial intelligence (GenAI) has transformed various sectors, including education. This narrative scoping review examines how GenAI is being integrated into teacher training programs, exploring its applications, benefits, challenges, and implementation frameworks. By synthesizing findings from recent literature (2022-2025), we identify key themes the development AI literacy among teachers, impact on pedagogical content knowledge, ethical considerations in implementation. Our analysis reveals significant benefits enhancing teaching performance facilitating personalized learning, while also highlighting challenges such as technical limitations, concerns, resistance to change. We gaps current research, particularly non-STEM subjects framework development, suggest directions for future research advance responsible integration
Язык: Английский
Процитировано
1
Опубликована: Фев. 7, 2025
Recent years have witnessed extensive efforts to enhance Large Language Models (LLMs) across various domains, alongside growing attention their ethical implications. However, a critical challenge remains largely overlooked: LLMs must balance between rejecting harmful requests for safety and accommodating legitimate ones utility. This paper presents Direct Preference Optimization (DPO) based alignment framework that achieves better overall performance by addressing this ethical-utility trade-off, using chemical domain applications as proof-of-concept. Our pipeline starts with GPT-assisted three-phase data generation scheme, in which we create LibraChemQA, question-answering dataset comprising 31.6k triplet instances. By incorporating an innovative balanced seed the process, our systematically considers both illegitimate requests. The also introduces rephrasing mechanism efficient augmentation enhances model’s comprehension. We further develop novel hybrid evaluation scheme LLM judges precise assessment of Experimental results demonstrate substantial improvements where utility are considered - resulting model, LibraChem, outperforms leading including Claude-3, GPT-4o, LLaMA-3 margins 13.44%, 7.16%, 7.10% respectively on released benchmark.
Язык: Английский
Процитировано
0
Education Sciences, Год журнала: 2025, Номер 15(3), С. 338 - 338
Опубликована: Март 10, 2025
Contemporary education is evolving in a landscape shaped by technological advancements, with generative artificial intelligence (AI) gaining significant attention from educators and researchers. ChatGPT, particular, has been recognized for its potential to revolutionize teachers’ tasks, such as lesson planning. However, effectiveness designing science plans aligned the research-based recommendations of Science Education literature remains infancy. This exploratory study seeks address this gap examining ChatGPT-assisted planning primary schools through lens sound theoretical framework Education: pedagogical content knowledge (PCK). Guided question, “What are characteristics created ChatGPT terms PCK?”, we designed four interactions ChatGPT-4o using carefully constructed prompts informed specific PCK aspects prompt engineering strategies. Using qualitative analysis, analyzed data these interactions. Findings indicate that incorporating elements into prompts, layer prompting strategies, providing reference texts might enhance quality AI-generated plans. challenges were identified. concludes guidelines teacher–ChatGPT co-design based on PCK.
Язык: Английский
Процитировано
0
Journal of Science Education and Technology, Год журнала: 2024, Номер unknown
Опубликована: Ноя. 18, 2024
Abstract Integrating generative artificial intelligence (GenAI) in pre-service teachers’ education programs offers a transformative opportunity to enhance the pedagogical development of future science educators. This conceptual paper suggests applying GenAI tool evaluate content knowledge (PCK) among teachers. By holding interactive dialogues with GenAI, teachers engage lesson planning way that reveals their understanding content, pedagogy, and PCK while facilitating practical application theoretical knowledge. Interpretation these interactions provides insights into teachers-to-be skills, enabling personalized learning experiences targeted program adjustments. The underscores need equip necessary competencies utilize effectively teaching practices. It contributes ongoing discourse on technology’s role teacher preparation programs, highlighting potential addressing existing challenges evaluating developing via GenAI. suggested research directions aim further investigate usage implications educational contexts.
Язык: Английский
Процитировано
2
Chemistry Teacher International, Год журнала: 2024, Номер 6(4), С. 337 - 339
Опубликована: Дек. 1, 2024
Abstract This special issue is deciated to the teaching of ethics in chemistry education. In this editorial articles are introduced. A short explanation how they fit into specific given.
Язык: Английский
Процитировано
0