Computers in Human Behavior Reports, Год журнала: 2024, Номер unknown, С. 100494 - 100494
Опубликована: Сен. 1, 2024
Язык: Английский
Computers and Education Open, Год журнала: 2024, Номер 6, С. 100178 - 100178
Опубликована: Апрель 10, 2024
Integrating artificial intelligence (AI) into teaching practices is increasingly vital for preparing students a technology-centric future. This study examined the influence of case-based AI professional development (PD) program on integration strategies and literacy among seven middle school science teachers. Employing three distinct case problems, from well-structured to ill-structured, PD aimed stimulate teachers' reflection encourage construction problem-solving within various pedagogical contexts. Analysis video-recorded discussions revealed that teachers primarily drew personal experiences collaborative across cases. However, complexity problems influenced their approach knowledge co-construction, dealing with ill-structured promoted application new knowledge. Through analyzing survey data, we found marked increase in literacy, particularly domain knowing understanding AI, suggesting pivotal role direct instruction supports growth. this was limited during discussions, while other domains teacher were more frequently employed. The findings highlight importance combining AI-related programs bolster effectively. research has implications using learning short-term initiatives advocates ongoing need comprehensive facilitate subject-specific teaching.
Язык: Английский
Процитировано
36
Computers in Human Behavior Artificial Humans, Год журнала: 2024, Номер 2(1), С. 100062 - 100062
Опубликована: Янв. 1, 2024
The rapid advancement of artificial intelligence (AI) has brought transformative changes to various aspects human life, leading an exponential increase in the number AI users. broad access and usage enable immense benefits but also give rise significant challenges. One way for users address these challenges is develop literacy, referring proficiency different subject areas that purposeful, efficient, ethical technologies. This study aims comprehensively understand structure research on literacy through a systematic, scoping literature review. Therefore, we synthesize literature, provide conceptual framework, agenda. Our review paper holistically assesses fragmented landscape (68 papers) while critically examining its specificity user groups distinction from other technology literacies, exposing efforts are partly not well integrated. We organize our findings overarching framework structured along learning methods to, components constituting, effects stemming literacy. agenda – oriented developed sheds light most promising opportunities prepare AI-powered future work society.
Язык: Английский
Процитировано
22
International Journal of Information and Education Technology, Год журнала: 2024, Номер 14(2), С. 214 - 219
Опубликована: Янв. 1, 2024
Previous studies have mostly focused on Artificial Intelligence (AI) education from students’ perspectives. However, it is necessary to understand teachers’ perceptions of AI convergence because they are essential personnel for K-12 education. To fill the gap in literature, this study aims in-service regarding teaching schools and their teacher training programs. Data collection included an online survey (n = 20) a focus group interview 4). The investigated within educational setting, while focus-group explored Survey results showed that teachers hold favorable attitudes toward future use. findings reveal advantages disadvantages Although most participating expressed satisfaction, there was notable call more practice-oriented curriculum. Specifically, respondents found many theory-centric courses failed offer applicable skills or knowledge real-world classroom settings. novelty uniqueness understanding perspectives Thus, can provide valuable insights suggestions structure professional development effectively education, particularly diverse higher contexts.
Язык: Английский
Процитировано
19
European 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
3
International Journal of Interactive Mobile Technologies (iJIM), Год журнала: 2024, Номер 18(02), С. 4 - 15
Опубликована: Янв. 25, 2024
The rapid increase in new challenges of the combination Internet Things (IoT) and artificial intelligence (AI), which are emerging technologies, can play a compelling role prompting development (AIoT). Therefore, demand for AI competencies everyone will increase. Educational institutes focus on encouraging education because AI-literate workers industrial sector. However, teachers’ lack knowledge is significant barrier to education. Thus, developing teacher’s educating them about how use teach students critical. In this study, we proposed things professional (AIoT-PD) training prepare teachers ready teach. A quasi-experimental design with two-day workshop was conducted among 13 examine its impact competencies, including knowledge, skill, attitude. quantitative data were collected via pretest posttest after activity, while qualitative interviews. This study showed that significantly improved. These findings revealed AIoT workshop’s effectiveness enhancing help effectively
Язык: Английский
Процитировано
14
European Journal of Education, Год журнала: 2024, Номер 59(3)
Опубликована: Апрель 14, 2024
Abstract Recent literature underscores the need for teachers to develop AI competencies with a recognition of current lack well‐defined competence frameworks. This critical review investigates teachers' Artificial Intelligence (AI) frameworks (AI CFTs), analysing their strengths, weaknesses and practical applications researchers, educators policymakers. It identifies five distinct types CFTs within Competence Construct Claims (Child, S., & Shaw, S. 2023). A conceptual approach validating Research Matters: Cambridge University Press Assessment publication, 35 , 27–40.), each addressing complexities in its early stages. Notably, derived from empirical data offer detailed descriptions competencies, while those based on models provide broader overviews. Highlighting further research, this helps identify understand existing approaches teacher development paves way integrating into education, ultimately enhancing educators' preparedness harness teaching practices.
Язык: Английский
Процитировано
11
Educación, Год журнала: 2024, Номер 33(64), С. 29 - 54
Опубликована: Апрель 15, 2024
El objetivo de este estudio es realizar un recorrido analítico a través artículos científicos sobre inteligencia artificial (IA) en el contexto educativo, localizados Google Scholar y Science Direct, escritos portugués, inglés español desde 2021 adelante. En 2022 se lanzó ChatGPT, tecnología que forma parte del concepto denominado generativa, creada mediante técnicas aprendizaje automático. Este tipo herramientas ha ganado espacio las instituciones escolares sido objeto numerosas discusiones. A raíz ello, los gobiernos muchos países, preocupados por sus impactos, intentan regular uso la IA. Entre resultados obtenidos destaca presencia estudios alfabetización IA, formación docente, necesidad abordar temática interdisciplinariamente niveles iniciales, entre otros.
Процитировано
11
Heliyon, Год журнала: 2024, Номер unknown, С. e37569 - e37569
Опубликована: Сен. 1, 2024
Язык: Английский
Процитировано
9
Journal of Research on Technology in Education, Год журнала: 2025, Номер unknown, С. 1 - 22
Опубликована: Янв. 21, 2025
Язык: Английский
Процитировано
1
The International Review of Research in Open and Distributed Learning, Год журнала: 2024, Номер 25(3), С. 304 - 325
Опубликована: Авг. 26, 2024
The rapid advancement of artificial intelligence (AI) in education underscores transformative prospects for open and distributed learning, encompassing distance, hybrid, blended learning environments. This qualitative study, grounded narrative inquiry, investigates the experiences perceptions 141 preservice teachers engaged with AI, mainly through ChatGPT, over a 3-week implementation on Zoom to understand its influence their evolving professional identities instructional methodologies. Employing Strauss Corbin’s methodological approach open, axial, selective coding analyze reflective narratives, study unveils significant themes that underscore dual nature AI education. Key findings reveal ChatGPT’s role enhancing educational effectiveness accessibility while raising ethical concerns regarding academic integrity balanced usage. Specifically, ChatGPT was found empower personalized streamline procedures, yet challenges involving information accuracy data security remained. significantly contributes teacher discourse by revealing AI’s complex impacts, highlighting an urgent need comprehensive literacy training curricula. However, critical considerations practical integrity, accuracy, use are also brought light. research spotlights responsible optimize outcomes addressing potential risks. study’s insights advocate future-focused frameworks integrate technological adeptness considerations, preparing candidates intelligent digital landscape.
Язык: Английский
Процитировано
7