Modeling AI-assisted writing: How self-regulated learning influences writing outcomes DOI
Fangzhou Jin, Chin‐Hsi Lin,

Chun Lai

et al.

Computers in Human Behavior, Journal Year: 2024, Volume and Issue: 165, P. 108538 - 108538

Published: Dec. 12, 2024

Language: Английский

Validating a context-specific TPACK scale for primary mathematics education in China DOI
Mao Li, Muhamad Gina Nugraha

International Electronic Journal of Mathematics Education, Journal Year: 2025, Volume and Issue: 20(2), P. em0819 - em0819

Published: Feb. 7, 2025

This study presents the validation of a Technological Pedagogical Content Knowledge (TPACK) scale tailored explicitly for primary mathematics teachers in China. Recognizing gap context-specific TPACK assessment tools, research aims to provide an instrument that aligns with unique educational landscape Utilizing established scales as prototypes, integrates distinctive construct contextual knowledge encapsulate interplay between technology, pedagogy, content, and Chinese teaching context. A sample 315 from Chongqing, China, participated this study. The scale’s reliability validity were rigorously tested using Cronbach’s alpha confirmatory factor analysis (CFA), ensuring its robustness applicability. findings show high internal consistency, strong indicated by alpha. CFA confirmed structural validity, most fit indices meeting good criteria. Convergent discriminant also demonstrated effectiveness assessing competencies needed integrating technology into teaching. study’s main contribution is development education. advances theoretical understanding China offers practical implications teacher education, curriculum design, policy, emphasizing importance context-sensitive tools.

Language: Английский

Citations

0

Application of AI in engineering education: A bibliometric study DOI Open Access
Y.W. Liu, Yuhui Jing, Jing Li

et al.

Review of Education, Journal Year: 2025, Volume and Issue: 13(1)

Published: Feb. 18, 2025

Abstract The integration of artificial intelligence (AI) into engineering education is essential for fostering innovation, strategic thinking and interdisciplinary skills in the intelligent era. On this basis, study aims to track visually represent research outputs associated with AI applications education, providing insights current landscape identifying areas further investigation. analysis offers theoretical methodological direction leveraging education. Utilising bibliometric methods, we conducted a comprehensive visualisation 378 core publications from Web Science (WoS) database, spanning beginning twenty‐first century present. Our findings show consistent rise publication volume 2000 2017, significant surge 2018 2023. identifies International Journal Engineering Education Computer Applications as pivotal journals field. clusters around two central themes: supportive technologies specific educational applications. Within expert systems, data mining, prediction machine learning are highlighted key areas. field has evolved through distinct phases, starting an early focus on technology support moving emphasis pedagogical applications, currently striving balance between diverse practical Context implications Rationale Research AI‐enabled necessary because it vital measure cultivating innovative, talents era intelligence. article applies techniques visualise developmental pulse use Why new matter firstly help researchers grasp development priorities fill gaps, secondly provide guidance application visualisation. Implications practitioners summarises situation breaks down knowledge map field, provides practitioners, especially researchers, important references understand triggers continuous attention all sectors society In addition, school administrators will be able guide practice teaching based study, frontline teachers practise which effectively improve efficiency

Language: Английский

Citations

0

Bibliometric Analysis of Natural Language Processing Technology in Education: Hot Topics, Frontier Evolution, and Future Prospects DOI Creative Commons
Hanbing Xue, Weishan Liu

SAGE Open, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 1, 2025

The application of natural language processing (NLP) technology in the field education has attracted considerable attention. This study takes 716 articles from Web Science database 1998 to 2023 as its research sample. Using bibliometrics theoretical foundation, and employing methods such literature review knowledge mapping analysis, utilizes tools like CiteSpace generate relevant visualizations, analyzing key themes, frontier developments, providing future prospects this domain. main findings are follows: First, number publications been increasing annually, forming core publishing journals Education Information Technology, teams led by figures Cucchiarini Catia Meurers Detmar, countries including United States China. Second, primarily covers five major themes: educational technical tools, analysis development content, computational linguistics education, acquisition learning, assessment methods. Third, exhibits certain developmental phases, progressing through stages emergence, exploration, development. Based on these findings, following proposed: at level, deeper personalized learning paths, emotional monitoring support, intelligent generation optimization content; practical interdisciplinary collaboration innovation, data mining global perspectives with international cooperation.

Language: Английский

Citations

0

GenAI in Indian Higher Education: Faculty at the Crossroads of Adoption DOI
Mohammad Razi-ur-Rahim,

Jahangir Chauhan,

Furquan Uddin

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 10, 2025

Abstract While global institutions embrace GenAI to enhance education, many faculty members in India remain hesitant adopt it. Earlier research found that only a few studies have examined the adoption of at university level, especially developing countries. Sparsely explores how teachers accept and use GenAI, they failed provide complete picture its adoption. It highlights significant gap. This study provides what influences GenAI. Being, part an information system, novel construct 'Output Quality' TAM is added. The employed quantitative, single cross-sectional design. A total 455 from higher education participated, their responses were analyzed using CB-SEM. reveals perceived ease drives most, followed by usefulness social norms. Output quality has most decisive impact on use. Institutions can inspire through incentives recognition. findings will guide educators, administrators, policymakers who want integrate into education.

Language: Английский

Citations

0

The Effect of Generative AI Ethics on Users’ Continuous Usage Intentions: A PLS-SEM and fsQCA Approach DOI
Yun Liu, Yingying Du

International Journal of Human-Computer Interaction, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 12

Published: Feb. 24, 2025

Language: Английский

Citations

0

How does AI literacy affect individual innovative behavior: the mediating role of psychological need satisfaction, creative self-efficacy, and self-regulated learning DOI
Yu Ji,

Mingxuan Zhong,

Siyan Lyu

et al.

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

Published: Feb. 26, 2025

Language: Английский

Citations

0

How can we enhance elementary students’ learning engagement in a dual-teacher classroom setting? an analysis of a moderated mediation effect DOI
Yanshuang Jiang, Yuchang Yuan,

Zhaoying He

et al.

Interactive Learning Environments, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 17

Published: March 5, 2025

Language: Английский

Citations

0

Empowering music education with technology: a bibliometric perspective DOI Creative Commons
Yidi Ma, Chengliang Wang

Humanities and Social Sciences Communications, Journal Year: 2025, Volume and Issue: 12(1)

Published: March 8, 2025

Language: Английский

Citations

0

The journey of challenges and triumphs: a systematic literature review of the dynamic evolution of human-centered artificial intelligence in education DOI
Xiaojiao Chen, Zhebing Hu, Yuanyuan Li

et al.

Interactive Learning Environments, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 26

Published: March 10, 2025

Language: Английский

Citations

0

Adaptation of the Student Attitudes toward Artificial Intelligence Scale (SATAI) to the Turkish Context: A Sample of Emerging Adults DOI
Dilara Turgut, Filiz Künüroğlu

International Journal of Human-Computer Interaction, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 11

Published: March 11, 2025

Language: Английский

Citations

0