ChatGPT-Produced Content as a Resource in the Language Education Classroom: A Guiding Hand DOI
Rod E. Case, Leping Liu

Computers in the Schools, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 25

Published: Dec. 22, 2024

While there is much in teacher education which examines the perceptions of preservice to recent introduction ChatGPT. This study teachers' appraisals ChatGPT-produced text. Using a quasi-experimental within-­subject design with 30 participants, Chi-Square tests examined under three conditions. Results indicated that appraisal text was higher when prepared by instructor among students who demonstrated an understanding pedagogical content versus those did not. Appraisals were also sensitive where placed assignment, favoring use ChatGPT at beginning assignment middle. A discussion implications for using included.

Language: Английский

Exploring the impact of GAI-assisted feedback on pre-service teachers’ situational engagement and performance in inquiry-based online discussion DOI
Guoqing Lu, Shen Ba

Educational Psychology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 26

Published: April 9, 2025

Language: Английский

Citations

0

Personalized stem education empowered by artificial intelligence: a comprehensive review and content analysis DOI
Daner Sun, Gary Cheng, Philip L. H. Yu

et al.

Interactive Learning Environments, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 23

Published: Feb. 11, 2025

Language: Английский

Citations

0

A systematic review of AI-powered collaborative learning in higher education: Trends and outcomes from the last decade DOI Creative Commons
Attila Kővári

Social Sciences & Humanities Open, Journal Year: 2025, Volume and Issue: 11, P. 101335 - 101335

Published: Jan. 1, 2025

Language: Английский

Citations

0

Can Generative AI Revolutionise Academic Skills Development in Higher Education? A Systematic Literature Review DOI Open Access
Daniel Kangwa, Msafiri Mgambi Msambwa, Zhang Wen

et al.

European Journal of Education, Journal Year: 2025, Volume and Issue: 60(1)

Published: Feb. 14, 2025

ABSTRACT This systematic review investigates the impact of generative artificial intelligence (GenAI) tools on developing academic skills in higher education. Analysing 158 studies published between 2021 and 2024, it focuses GenAI development cognitive, technical interpersonal skills. The results reveal that 94% sampled reported significant improvements cognitive skills, like critical thinking, problem‐solving, analytical metacognitive abilities, facilitated by personalised learning feedback. Indeed, was research (24%), writing (26%), data analysis (33%) literacy (18%). Additionally, were found to promote fostering interactive engaging environments, with notable communication organisation empathy (5%) teamwork (45%). Hence, this underscores importance ethical responsible use tools, ongoing monitoring active stakeholder engagement maximise their benefits They offer a promising avenue for advancement enhancing proficiency promoting effective teamwork. Therefore, significantly enhance skills; however, integration requires robust framework sustained examination long‐term impacts.

Language: Английский

Citations

0

Exploring human and AI collaboration in inclusive STEM teacher training: A synergistic approach based on self-determination theory DOI
Tingting Li, Zehui Zhan, Yu Ji

et al.

The Internet and Higher Education, Journal Year: 2025, Volume and Issue: unknown, P. 101003 - 101003

Published: Feb. 1, 2025

Language: Английский

Citations

0

Accuracy and creativity analysis of ChatGPT in quantitative aptitude DOI
Pramod C. Mane

International Journal of Information and Learning Technology, Journal Year: 2025, Volume and Issue: unknown

Published: March 3, 2025

Purpose The purpose of this study is to investigate the accuracy and creativeness ChatGPT in domain quantitative aptitude. Design/methodology/approach 3.5 used generate multiple-choice aptitude questions. A total 1,100 questions were created across 11 different areas dataset obtained through prompts. Human specialists assessed creativity these Every question evaluated classified into six distinct grades indicate its level accuracy. Likewise, procedure assessing each includes providing a grade that showcases originality. Subsequently, we hypotheses evaluate ChatGPT’s response. are application statistical methods, such as one-tailed test. Findings Our indicates exhibits moderate degree when solving mathematical work shows that, for instance, prompted 10 regarding specific topic, unlikely produce more than five accurate terms solution explanation, it seldom generates three new This also compares answering related with medical science. illustrates less precise responses science However, including tool producing wide range poses significant problem creativeness. Research limitations/implications focused on topic set encompasses approximately 50% topics studied within realm aptitudes. In addition, inclusion human experience verifying correctness may potentially undermine study’s Practical implications demonstrates poor originality correctness, thereby limiting teaching value. particularly worrying students, does not assist an answer, making verification necessary. Originality/value research will be valuable individuals residing countries India who actively preparing competitive examinations secure employment diverse government private enterprises utilising platform purpose.

Language: Английский

Citations

0

Developing professional capital through technology-enabled university-school-enterprise collaboration: an innovative model for C-STEAM preservice teacher education in the Greater Bay area DOI Creative Commons

Siyuan Lyu,

Shijing Niu,

Jing Yuan

et al.

Asia Pacific Journal of Innovation and Entrepreneurship, Journal Year: 2024, Volume and Issue: 18(3), P. 270 - 299

Published: May 25, 2024

Purpose Preservice teacher (PST) professional development programs are crucial for cultivating high-quality STEAM teachers of the future, significantly impacting quality regional education. The Guangdong-Hong Kong-Macao Greater Bay Area, as a region cross-border cooperation, integrates resources and advantages Guangdong, Hong Kong, Macao, possessing rich cultural heritage innovative capabilities. Transdisciplinary Education Cultural Inheritance (C-STEAM) is an effective approach to promoting educational collaboration within facilitating integration both technological humanities This study aims develop Technology-Enabled University-School-Enterprise (T-USE) collaborative education model implement it in explore its role support mechanism impact on C-STEAM PSTs' capital. Design/methodology/approach Adopting qualitative methodology, interviewed PSTs who participated course under T-USE model. Thematic coding used analyze their knowledge acquisition, interaction benefits with community members, autonomous thinking decision-making theoretical learning teaching practice. Findings findings show that enhanced human capital, including beliefs, knowledge, skills. In terms social benefited from PST groups, university teams, in-service teachers, enterprises, though challenges such varying levels expertise among occasional technical instability emerged. For decisional provided opportunities promoted judgment skills through real scenarios. Reflective practice activities also supported growth. Originality/value reveals effectiveness internal training, offering significant practical references future

Language: Английский

Citations

2

РОЗВИТОК КРИТИЧНОГО МИСЛЕННЯ МАЙБУТНІХ ВЧИТЕЛІВ ІНФОРМАТИКИ ТА МАТЕМАТИКИ З ВИКОРИСТАННЯМ ЗАСОБІВ ШТУЧНОГО ІНТЕЛЕКТУ DOI
Оксана Клочко

Modern Information Technologies and Innovation Methodologies of Education in Professional Training Methodology Theory Experience Problems, Journal Year: 2024, Volume and Issue: 72, P. 14 - 26

Published: July 9, 2024

The article examines the problems of developing critical thinking future teachers computer science and mathematics using artificial intelligence tools. experience domestic foreign researchers regarding use in education for development thinking, particular, United States America, Republic Poland, Slovenia, was analyzed. necessary components are defined: logical to analyze problems, make decisions solve problems; obtaining, interpreting knowledge/facts/data process solving demonstration (manifestations) creativity non-standard thinking. In order investigate specifics application skills by when working with systems, a survey conducted. "Klochko Questionnaire: Peculiarities systems" created. possibilities tools have been clarified, particular: analysis educational data, creation content, professional development, adaptive learning, others.The results study showed that 92.2% respondents or plan process. vast majority students studying become actively various applying their skills. is condition academic success, personal competitiveness, preparation challenges, new teaching think critically. implementation may certain risks, such as excessive trust reduction role one's own experience, intuition, etc. It important note field technologies just beginning develop needs additional research, however, it has great potential teachers.

Language: Английский

Citations

1

The Role of AI Agents in the Reconfiguration of Interdisciplinary Educational Design: An Examination of Applied Practices and Outcomes DOI

Ji-yuan Xu,

Zehui Zhan,

ShiSong Liang

et al.

Published: June 14, 2024

Language: Английский

Citations

0

AI-based feedback tools in education: a comprehensive bibliometric analysis study DOI Open Access
M A. Donmez

International Journal of Assessment Tools in Education, Journal Year: 2024, Volume and Issue: 11(4), P. 622 - 646

Published: Sept. 21, 2024

This bibliometric analysis offers a comprehensive examination of AI-based feedback tools in education, utilizing data retrieved from the Web Science (WoS) database. Encompassing total 239 articles an expansive timeframe, spanning inception to February 2024, this study provides thorough overview evolution and current state research domain. Through meticulous analysis, it tracks growth trajectory publications over time, revealing increasing scholarly attention towards AI-driven mechanisms educational contexts. By describing critical thematic areas such as role enhancing learning outcomes, integration AI technologies into practices, efficacy facilitating personalized experiences, valuable insights multifaceted nature field. employing sophisticated mapping techniques, including co-citation keyword co-occurrence uncovers underlying intellectual structure landscape, identifying prominent themes, influential articles, emerging trends. Furthermore, identifies productive authors, institutions, countries contributing discourse, providing detailed understanding collaborative networks citation patterns within community. synthesis literature serves resource for researchers, practitioners, policymakers alike, offering guidance on harnessing potential revolutionize teaching practices education.

Language: Английский

Citations

0