
Computers and Education Artificial Intelligence, Год журнала: 2025, Номер unknown, С. 100398 - 100398
Опубликована: Март 1, 2025
Язык: Английский
Computers and Education Artificial Intelligence, Год журнала: 2025, Номер unknown, С. 100398 - 100398
Опубликована: Март 1, 2025
Язык: Английский
Computers and Education Artificial Intelligence, Год журнала: 2025, Номер unknown, С. 100373 - 100373
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
3European Journal of Education, Год журнала: 2025, Номер 60(1), С. 1 - 16
Опубликована: Янв. 27, 2025
ABSTRACT Artificial Intelligence (AI) literacy has come to the spotlight, empowering individuals adeptly navigate modern digitalised world. However, studies on teacher AI in English as a Foreign Language (EFL) context remain limited. This study aims identify intraindividual differences and examine its associations with age years of teaching experience among 782 teachers. Given absence reliable instrument measure literacy, we first constructed validated scale encompassing five sub‐scales: Knowledge , Use Assessment Design Ethics . Subsequently, latent profile analysis (LPA) was conducted using Mplus 7.4, results revealing four distinct profiles: Poor (C1: 12.1%), Moderate (C2: 45.5%), Good (C3: 28.4%), Excellent (C4: 14.1%). Multinomial logistic regression analyses indicated significant between both experience. Additionally, 32 respondents participated semi‐structured interviews. The qualitative data analysed MAXQDA 2022 triangulated quantitative offered deeper insights into teachers’ perceptions their literacy. provides theoretical practical implications for understanding Chinese EFL context.
Язык: Английский
Процитировано
3School Science and Mathematics, Год журнала: 2025, Номер unknown
Опубликована: Янв. 28, 2025
Abstract We applied a mixed‐method survey approach to explore STEM teachers' perceptions, familiarity, and the support needed for integrating generative artificial intelligence (GenAI) in K‐12 education. The study collected 48 responses from Idaho, USA, predominantly White, female teachers servicing rural schools. analyzed data using both descriptive inferential statistics, along with thematic content analysis. findings revealed diverse perceptions among regarding impact of GenAI on education, an almost equal split between those who viewed positively it negatively. Similarly, familiarity integration varied widely, over half lacking user experience. A significant positive correlation was found their its integration. Despite these views, there strong consensus importance equipping students AI‐related knowledge skills. While professional development identified as most crucial integration, pointed own resistance lack awareness school leadership major challenges implementing GenAI‐focused development. discussed implications developing systems that can better facilitate
Язык: Английский
Процитировано
1Journal of Leadership Studies, Год журнала: 2025, Номер unknown
Опубликована: Март 13, 2025
The current article examines artificial intelligence's (AI) role in leadership training, education, and development across higher education industry contexts. We analyze implementations explore how AI technologies reshape preparation while investigating the essential balance between task‐oriented relationship‐oriented approaches. Our analysis reveals that successful integration depends on human‐in‐the‐loop processes, pedagogical design preserves relationship‐building, comprehensive literacy development. study introduces concept of ‘taxonomical leapfrogging’ demonstrates can enhance traditional through sophisticated content sequencing, personalized learning pathways, intelligent feedback systems. provide a practical framework for implementing tools identifying key challenges, including quality assurance at scale ethical considerations. findings suggest effective requires integrated approaches leverage AI's capabilities preserving human elements, with specific recommendations both academic programs initiatives.
Язык: Английский
Процитировано
1Computers and Education Artificial Intelligence, Год журнала: 2024, Номер unknown, С. 100355 - 100355
Опубликована: Дек. 1, 2024
Язык: Английский
Процитировано
7Computers and Education Open, Год журнала: 2024, Номер unknown, С. 100182 - 100182
Опубликована: Май 1, 2024
Язык: Английский
Процитировано
5Advances in educational marketing, administration, and leadership book series, Год журнала: 2024, Номер unknown, С. 179 - 206
Опубликована: Дек. 24, 2024
This chapter explores the transformative impact of generative artificial intelligence on inquiry-based learning in educational assessment. Generative AI technologies have revolutionized traditional assessment methods, enabling dynamic, individualized experiences that meet individual student needs. By harnessing power intelligence, teachers can create assessments promote critical thinking, conceptual understanding, and deeper engagement with content. The begins an overview theoretical foundations its integration into frameworks such as constructivism technology-enhanced learning. It discusses practical applications creating dynamic environments. Examples include tools like Knewton MATH from Carnegie Learning, which adapt methods based performance.
Язык: Английский
Процитировано
5System, Год журнала: 2025, Номер unknown, С. 103597 - 103597
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Advances in educational technologies and instructional design book series, Год журнала: 2025, Номер unknown, С. 231 - 264
Опубликована: Янв. 3, 2025
The creation of artificial intelligence (AI) in training presents each possibilities and challenges, reshaping traditional coaching roles methodologies. This paper explores the evolving position teachers an AI-improved instructional panorama, emphasizing significance human-centric abilities along with empathy, creativity, critical wondering. While AI can automate administrative tasks offer personalized learning studies, instructors remain fostering a supportive tasty mastering surroundings. take look at highlights symbiotic courting among equipment educators, advocating for expert improvement coverage reforms to maximize benefits integration. By analyzing contemporary traits future possibilities, this objectives roadmap educators navigating transformative generation.
Язык: Английский
Процитировано
0Professional Development in Education, Год журнала: 2025, Номер unknown, С. 1 - 28
Опубликована: Янв. 24, 2025
Язык: Английский
Процитировано
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