Innovative Early Childhood STEM Education with ChatGPT: Teacher Perspectives DOI
Hilal Uğraş, Mustafa Uğraş, Stamatios Papadakis

et al.

Technology Knowledge and Learning, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 21, 2024

Language: Английский

ChatGPT Promises and Challenges in Education: Computational and Ethical Perspectives DOI Creative Commons
Amr Adel, Ali Ahsan,

Claire Davison

et al.

Education Sciences, Journal Year: 2024, Volume and Issue: 14(8), P. 814 - 814

Published: July 25, 2024

This paper investigates the integration of ChatGPT into educational environments, focusing on its potential to enhance personalized learning and ethical concerns it raises. Through a systematic literature review, interest analysis, case studies, research scrutinizes application in diverse contexts, evaluating impact teaching practices. The key findings reveal that can significantly enrich education by offering dynamic, experiences real-time feedback, thereby boosting efficiency learner engagement. However, study also highlights significant challenges, such as biases AI algorithms may distort content inability replicate emotional interpersonal dynamics traditional teacher–student interactions. acknowledges fast-paced evolution technologies, which render some obsolete, underscoring need for ongoing adapt strategies accordingly. provides balanced analysis opportunities challenges education, emphasizing considerations strategic insights responsible technologies. These are valuable educators, policymakers, researchers involved digital transformation education.

Language: Английский

Citations

21

Generative AI in Education: Pedagogical, Theoretical, and Methodological Perspectives DOI Open Access
Omid Noroozi, Saba Soleimani Delfared, Mohammadreza Farrokhnia

et al.

International Journal of Technology in Education, Journal Year: 2024, Volume and Issue: 7(3), P. 373 - 385

Published: May 30, 2024

Recently, ChatGPT, a cutting-edge large language model, has emerged as powerful Generative Artificial Intelligence (GenAI) tool with the capacity to influence education. ChatGPT provides ample opportunities for learners, researchers, educators, and practitioners achieve intended learning outcomes in various disciplines. This special issue examines diverse applications implications of GenAI tools including education, highlighting their potential enhance teaching across contexts. Key findings from seventeen studies collected this demonstrate that can significantly improve educational by providing personalized feedback, facilitating learning, supporting both qualitative quantitative research methodologies. The emphasize GenAI’s increase learner engagement motivation, yet also underscore need robust ethical guidelines human oversight due issues privacy, bias, accuracy. highlights challenges faces, such limitations contextual understanding its impact on critical thinking skills. In addition, it foundational framework exploring effective responsible integration, aiming enrich experiences. We conclude future should focus longitudinal effects outcomes, developing frameworks use, ensuring adaptability populations promote inclusive practices.

Language: Английский

Citations

20

A Questionnaire of Artificial Intelligence Use Motives: A Contribution to Investigating the Connection between AI and Motivation DOI Open Access
Eyüp Yurt, İsmail Kaşarcı

International Journal of Technology in Education, Journal Year: 2024, Volume and Issue: 7(2), P. 308 - 325

Published: March 30, 2024

This study introduces the Questionnaire of AI Use Motives (QAIUM), an instrument designed to measure motivation levels in individuals using artificial intelligence (AI) applications. Building on a theoretical framework that emphasizes over dispositions and defines as expectancy/value, QAIUM aims fill research gap understanding motivational factors govern application use. Previous studies have often overlooked this human aspect, focusing instead technological facets while failing provide robust foundation for measuring motivation. The QAIUM, administered 1068 university students across various degree programs, was evaluated its factorial structure, reliability, discriminatory capacity, correlation with General Attitudes Artificial Intelligence Scale (GAAIS). results demonstrate aligns Eccles Wigfield model, boasts good reliability levels, significant GAAIS, confirming validation reliability. Hence, provides effective tool investigating affecting utilization academic instruction intervention.

Language: Английский

Citations

11

A Scoping Survey of ChatGPT in Mathematics Education DOI Creative Commons
Birgit Pepin, Nils Buchholtz, Ulises Salinas-Hernández

et al.

Digital Experiences in Mathematics Education, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 17, 2025

Language: Английский

Citations

1

Artificial Intelligence in Teaching and Teacher Professional Development: A Systematic Review DOI Creative Commons
Xiao Jian Tan, Gary Cheng, Man Ho Ling

et al.

Computers and Education Artificial Intelligence, Journal Year: 2024, Volume and Issue: unknown, P. 100355 - 100355

Published: Dec. 1, 2024

Language: Английский

Citations

7

Examining teachers’ behavioural intention of using generative artificial intelligence tools for teaching and learning based on the extended technology acceptance model DOI Creative Commons
Siu Cheung Kong, Yin Yang,

Chunyu Hou

et al.

Computers and Education Artificial Intelligence, Journal Year: 2024, Volume and Issue: 7, P. 100328 - 100328

Published: Nov. 1, 2024

Language: Английский

Citations

6

Integration of ChatGPT in mathematical story-focused 5E lesson planning: Teachers and pre-service teachers' interactions with ChatGPT DOI Creative Commons
Nurullah ŞİMŞEK

Education and Information Technologies, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 3, 2025

Language: Английский

Citations

0

Prompting Theory into Practice: Utilizing ChatGPT-4 in a Curriculum Planning Course DOI Creative Commons
Liat Biberman-Shalev

Education Sciences, Journal Year: 2025, Volume and Issue: 15(2), P. 196 - 196

Published: Feb. 6, 2025

As of late, generative AI tools have been rapidly gaining purchase as an important part life. Thus, one cannot ignore their growing integration into educational landscapes, including teacher education. This qualitative study examines how pre-service teachers (PSTs) leverage ChatGPT-4 to apply constructivist theory in curriculum planning (CP). The findings revealed three approaches through which PSTs used the chatbot practice: (a) simplifying theory, (b) applying and (c) visualizing theory. suggest that need refine prompts using curricular language engaging creative critical thinking supported translation process. In incorporating CP, considered multiple factors, ideation, inspiration, creativity, reliability, insufficient personalization—attesting a balanced perspective on use this tool, i.e., recognizing potential benefits utilizing chatbot, while remaining cognizant its associated risks limitations. points aspects CP AI, educators should discuss with PSTs.

Language: Английский

Citations

0

Besties with bots: GenAI as a lesson plan evaluator for preservice teachers DOI
Shuling Yang, Carin Appleget

Journal of Digital Learning in Teacher Education, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 15

Published: March 7, 2025

Language: Английский

Citations

0

Effectiveness of ChatGPT for educators professional development: An empirical study with medical faculty DOI Creative Commons
Wael Sh. Basri, Razaz Waheeb Attar,

Salem Albagmi

et al.

Nutrition and Health, Journal Year: 2025, Volume and Issue: unknown

Published: March 17, 2025

Study purpose this study aims to investigate the extent which ChatGPT enhances medical educators’ pedagogical practices, fosters reflective teaching, and contributes their ongoing learning growth. Methods cross-sectional survey assessed ChatGPT's efficacy in contributing professional development among educators. Utilizing purposive convenience sampling, a questionnaire was administered 309 Statistical analyses, including t-tests ANOVA, were conducted evaluate perceptions of effectiveness, considering demographic factors impairment types. Results resource recommendations received highest mean score (4.08), while continuing education had lowest (3.62). T-tests showed no significant gender differences ( p > .05), ANOVA indicated variances across job roles < .0001) age groups .0001). Lecturers consistently rated support highest, followed by assistant professors associate professors, with providing lower ratings. Conclusion personalized feedback, recommendations, guidance, other forms support. However, addressing challenges such as ethical considerations ensuring accuracy remains imperative for its effective integration into educational contexts.

Language: Английский

Citations

0