Fostering Transformative Pedagogy From Singapore to Qatar DOI
Christopher Hill,

Kristina Marie Tom,

Steven Adam

et al.

Advances in higher education and professional development book series, Journal Year: 2024, Volume and Issue: unknown, P. 89 - 106

Published: Dec. 11, 2024

This chapter explores the author's journey as a Scholarship of Teaching and Learning (SoTL) practitioner through lens transformative Student-Faculty symposium held at Singaporean university in 2018. The narrative weaves three key themes: importance informal learning contexts alongside formal education, value reflective practice teaching, role culturally responsive pedagogy Asian classrooms. Drawing from their experiences teaching across Asia—from Singapore to Qatar—the author describes how Students Partners (SaP) project addressed educational challenges by redesigning writing course for humanities students. revealed interplay between cultural hierarchies education generational differences faculty While symposium's immediate impact on curriculum was modest, it demonstrated creating spaces beyond traditional classroom dynamics where students could engage authentically. concludes examining current Qatar, particularly around integrating artificial intelligence developing SoTL research culture, suggesting that SaP approaches offer valuable frameworks addressing these emerging pedagogical sensitive ways.

Language: Английский

Exploring Attitudes toward ChatGPT among College Students: An Empirical Analysis of Cognitive, Affective, and Behavioral Components Using Path Analysis DOI Creative Commons
Benicio Gonzalo Acosta Enríquez, Carmen Graciela Arbulú Pérez Várgas, Olger Huamaní Jordan

et al.

Computers and Education Artificial Intelligence, Journal Year: 2024, Volume and Issue: unknown, P. 100320 - 100320

Published: Oct. 1, 2024

Language: Английский

Citations

9

Training and Technology Acceptance of ChatGPT in University Students of Social Sciences: A Netcoincidental Analysis DOI Creative Commons
Elena-María García-Alonso, Ana León Mejía, Roberto Sánchez-Cabrero

et al.

Behavioral Sciences, Journal Year: 2024, Volume and Issue: 14(7), P. 612 - 612

Published: July 18, 2024

This study analyzes the perception and usage of ChatGPT based on technology acceptance model (TAM). Conducting reticular analysis coincidences (RAC) a convenience survey among university students in social sciences, this research delves into utilization artificial intelligence tool. The considers variables such as gender, academic year, prior experience with ChatGPT, training provided by faculty. networks created statistical tool “CARING” highlight role perceived utility, credibility, shaping attitudes behaviors toward emerging technology. Previous experience, familiarity video games, programming knowledge were related to more favorable towards ChatGPT. Students who received specific showed lower confidence These findings underscore importance implementing strategies that raise awareness about both potential strengths weaknesses educational contexts.

Language: Английский

Citations

7

Does ChatGPT enhance student learning? A systematic review and meta-analysis of experimental studies DOI Creative Commons
Ruiqi Deng,

Mingyu Jiang,

Xiao Yu

et al.

Computers & Education, Journal Year: 2024, Volume and Issue: unknown, P. 105224 - 105224

Published: Dec. 1, 2024

Language: Английский

Citations

6

Attitude Mining Toward Generative Artificial Intelligence in Education: The Challenges and Responses for Sustainable Development in Education DOI Open Access

Yating Wen,

Xiaodong Zhao, Xingguo Li

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(3), P. 1127 - 1127

Published: Jan. 30, 2025

Generative artificial intelligence (GenAI) technologies based on big language models are becoming a transformative power that reshapes the future shape of education. Although impact GenAI education is key issue, there little exploration challenges and response strategies sustainability from public perspective. This data mining study selected ChatGPT as representative tool for GenAI. Five topics 14 modular semantic communities attitudes towards using in were identified through Latent Dirichlet Allocation (LDA) topic modeling network community discovery process 40,179 user comments collected social media platforms. The results indicate ambivalence about whether technology empowering or disruptive to On one hand, recognizes potential education, including intelligent tutoring, role-playing, personalized services, content creation, learning, where effective communication interaction can stimulate users’ creativity. other worried technological dependence development innovative capabilities, erosion traditional knowledge production by AI-generated (AIGC), undermining educational equity cheating, substitution students passing good performance skills tests. In addition, some irresponsible unethical usage behaviors identified, direct use AIGC pass similarity checks. provides practical basis institutions re-examine teaching learning approaches, assessment strategies, talent goals formulate policies AI promote vision sustainable

Language: Английский

Citations

0

The AI Scholar DOI
Ashley L. Dockens, Kaye Shelton

Advances in educational technologies and instructional design book series, Journal Year: 2025, Volume and Issue: unknown, P. 109 - 136

Published: Jan. 17, 2025

This chapter focuses on the impact artificial intelligence is having higher education, specifically in academic research and writing, explores an array of AI tools tailored to enhance endeavors, providing insights into their significance, purpose, within education settings. can greatly speed up process for researchers gathering, analyzing presenting data. In addition, reviews use editing, paraphrasing, summarizing literature recommends numerous use. The potential organizational challenges are also addressed such as faculty resistance, technology support, ethics related integrity associated with both students faculty. Recommendations future a call educators next steps included.

Language: Английский

Citations

0

A Systematic Review of Responses, Attitudes, and Utilization Behaviors on Generative AI for Teaching and Learning in Higher Education DOI Creative Commons
Fan Wu,

Yang Dang,

Manli Li

et al.

Behavioral Sciences, Journal Year: 2025, Volume and Issue: 15(4), P. 467 - 467

Published: April 4, 2025

The utilization of Generative AI (GenAI) in higher education classrooms has significantly increased recent years. Studies show that GenAI holds promise impacting the learning experiences both students and teachers, offering personalized assessment opportunities. This study conducts a systematic review responses, attitudes, behaviors related to application within classrooms. To this end, we synthesized 99 papers published between 2020 August 2024, focusing on settings. analysis addresses three key inquiries: behaviors. provides an updated understanding from psychological perspectives GenAI’s role teaching processes education, with particular emphasis technologies.

Language: Английский

Citations

0

Artificial Intelligence Policies in Higher Education: A Randomized Field Experiment DOI
Rachel Leigh Greenspan

Journal of Criminal Justice Education, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 14

Published: Jan. 11, 2025

Generative artificial intelligence (genAI) tools like ChatGPT are becoming increasingly embedded in daily life. In the field of education particular, concerns have emerged about how these might positively or negatively impact student learning. current study, I conduct a randomized experiment exploring policies on genAI undergraduate students' beliefs, behaviors, and grades. Students enrolled two sections same upper-level research methods course were randomly assigned to section that either permitted prohibited tools. At end semester, students permitting had more positive view higher education. However, prohibiting final grade. These results highlight need for evidence-based guidelines minimize risks maximize benefits

Language: Английский

Citations

0

Personality traits for self-regulated learning with generative artificial intelligence: The case of ChatGPT DOI Creative Commons
Xiaojing Weng, Qi Xia, Zubair Ahmad

et al.

Computers and Education Artificial Intelligence, Journal Year: 2024, Volume and Issue: 7, P. 100315 - 100315

Published: Oct. 4, 2024

Language: Английский

Citations

3

Constructing a Socio-Legal Framework Proposal for Governing Large Language Model Usage and Application in Education DOI Creative Commons

Mirela Mezak Matijević,

Barbara Pisker, Kristian Đokić

et al.

Social Sciences, Journal Year: 2024, Volume and Issue: 13(9), P. 479 - 479

Published: Sept. 9, 2024

Due to the fast-changing environments caused by artificial intelligence development, socio-technical challenge in contemporary educational systems focuses on need for more regulative measures guiding system stakeholders’ behavior. In fulfilling present legal gap, enacted soft law regulation has been laid out, and a detailed systematic literature review was conducted paper presented. The specific methodological approach selected deal with two crucial research tasks: reveal recommend fundamental governing mechanisms regarding use application of generative intelligence; precisely, large language models systems. Three systematically guided layers quantitative qualitative content analysis central policy, legislation, regulatory AI education were extracted from 142 Scopus Database Web Science papers analyzed These findings benefit policymakers, legislative bodies, agencies constructing frames using applying education.

Language: Английский

Citations

2

Impacts of interacting with an AI chatbot on preservice teachers' responsive teaching skills in math education DOI Open Access
Dabae Lee, Taekwon Son, Sheunghyun Yeo

et al.

Journal of Computer Assisted Learning, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 8, 2024

Abstract Background Artificial Intelligence (AI) technologies offer unique capabilities for preservice teachers (PSTs) to engage in authentic and real‐time interactions using natural language. However, the impact of AI technology on PSTs' responsive teaching skills remains uncertain. Objectives The primary objective this study is examine whether interaction with a AI‐based chatbot that acts as virtual student improves pre‐service teachers' noticing abilities. second compare how presence or absence responses affects changes questioning practices. Finally, third investigate experience interacting perceptions effectiveness their questioning, satisfaction interactions, confidence about real compared non‐responsive chatbot. Methods A randomised controlled pre‐ post‐test design was used 50 PSTs. noticing, chatbot, post‐survey data were collected, t ‐test conducted significant differences by group. Results Conclusion In experimental group, responded questions, while control she did not. Notable observed Takeaways Overall, chatbots hold promise enhancing skills. Future research needed long‐term use

Language: Английский

Citations

2