Generative artificial intelligence in pedagogical practices: a systematic review of empirical studies (2022–2024) DOI Creative Commons
Wang Xiaoyu, Zamzami Zainuddin,

Chin Hai Leng

et al.

Cogent Education, Journal Year: 2025, Volume and Issue: 12(1)

Published: April 7, 2025

Language: Английский

High Heels, Compass, Spider-Man, or Drug? Metaphor Analysis of Generative Artificial Intelligence in Academic Writing DOI Creative Commons
Fangzhou Jin, Lanfang Sun, Y. C. Pan

et al.

Computers & Education, Journal Year: 2025, Volume and Issue: unknown, P. 105248 - 105248

Published: Jan. 1, 2025

Language: Английский

Citations

6

Utilising artificial intelligence-enhanced writing mediation to develop academic writing skills in EFL learners: a qualitative study DOI

Jalil Fathi,

Masoud Rahimi

Computer Assisted Language Learning, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 40

Published: July 8, 2024

Language: Английский

Citations

15

Beware of metacognitive laziness: Effects of generative artificial intelligence on learning motivation, processes, and performance DOI
Yizhou Fan,

Luzhen Tang,

Huixiao Le

et al.

British Journal of Educational Technology, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 10, 2024

Abstract With the continuous development of technological and educational innovation, learners nowadays can obtain a variety supports from agents such as teachers, peers, education technologies, recently, generative artificial intelligence ChatGPT. In particular, there has been surge academic interest in human‐AI collaboration hybrid learning. The concept is still at nascent stage, how benefit symbiotic relationship with various AI, human experts intelligent learning systems unknown. emerging also lacks deep insights understanding mechanisms consequences based on strong empirical research. order to address this gap, we conducted randomised experimental study compared learners' motivations, self‐regulated processes performances writing task among different groups who had support agents, that is, ChatGPT (also referred AI group), chat expert, analytics tools, no extra tool. A total 117 university students were recruited, their multi‐channel learning, performance motivation data collected analysed. results revealed that: (1) received showed difference post‐task intrinsic motivation; (2) significant differences frequency sequences groups; (3) group outperformed essay score improvement but knowledge gain transfer not significantly different. Our research found absence motivation, exhibited processes, ultimately leading differentiated performance. What particularly noteworthy technologies may promote dependence technology potentially trigger “metacognitive laziness”. conclusion, leveraging respective strengths weaknesses critical field future intelligence. Practitioner notes already known about topic Hybrid intelligence, combining machine aims augment capabilities rather than replace them, creating opportunities for more effective lifelong collaboration. Generative ChatGPT, shown potential enhancing by providing immediate feedback, overcoming language barriers facilitating personalised experiences. effectiveness contexts varies, some studies highlighting its benefits improving while others note limitations ability teachers entirely. paper adds We lab setting agent (AI, expert checklist tools). metacognitive "laziness", which hinder self‐regulate engage deeply improve short‐term performance, it boost transfer. Implications practice and/or policy When using should focus deepening actively evaluation, monitoring, orientation, blindly following ChatGPT's feedback solely complete tasks efficiently. teaching, think are suitable assistance pay attention stimulating develop scaffolding assist active Researcher design multi‐task cross‐context deepen our could ethically effectively learn, regulate, collaborate evolve AI.

Language: Английский

Citations

13

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

12

Exploring ChatGPT adoption among business and management students through the lens of diffusion of Innovation Theory DOI Creative Commons
Alaa Amin Abdalla, Mohd Abass Bhat, Chandan Kumar Tiwari

et al.

Computers and Education Artificial Intelligence, Journal Year: 2024, Volume and Issue: 7, P. 100257 - 100257

Published: June 19, 2024

Purpose: this study aims to present an innovative approach (Diffusion of Innovation Theory) investigate the adoption ChatGPT by business and management students. The theory emphasizes integrating variables Viz. relative advantage, compatibility, complexity, trialability, observability, attitude, intention adopt in context education. ology: a non-probability purposive sample 383 students enrolled Indian public private institutions was taken conduct survey administer questionnaires. Partial Least Square-Structural Equation Modelling employed analyze data using Smart PLS software. findings suggest that students' attitude toward integration for educational purposes knowledge acquisition are overwhelmingly positive. Moreover, benefit, observability indicate favorable disposition use among community. asserts significant implications multiple sectors, including global society, businesses, academia. application Diffusion Theory examination towards provides valuable practical theoretical insights. originality lies it takes investigating utilization Hence, inclusion context-specific characteristics contribute uniqueness study.

Language: Английский

Citations

8

Exploring Generative AI Tools Frequency: Impacts on Attitude, Satisfaction, and Competency in Achieving Higher Education Learning Goals DOI Creative Commons
M. Miftach Fakhri, Ansari Saleh Ahmar, Andika Isma

et al.

EduLine Journal of Education and Learning Innovation, Journal Year: 2024, Volume and Issue: 4(1), P. 196 - 208

Published: March 29, 2024

The urgency of using AI in the educational environment as a medium for optimizing student learning personalization synchronous and asynchronous needs to be done ensure that students experience improved attitudes, motivation, satisfaction, which is reflected competencies. This study aimed investigate impact ChatGPT use frequency on students' satisfaction levels, competence higher education goals. type research employed was non-experimental quantitative research, specifically ex-post facto research. sample size 257 people, determined criteria Issac Michael (1971) sampling distribution with proportional random technique. Data collection techniques utilize questionnaires are effective obtaining data. PLS SEM analysis used determine effect exogenous latent variables endogenous variables. revealed reliability positively outcomes, while perceived does not significantly enhance objectives. Increased usage moderates these effects, diminishing positive influence perceptions, reliability, shifting negative insignificant. These findings highlight complexity integrating into education, suggesting initial perceptions may sustained frequent use.

Language: Английский

Citations

8

Comparing the effects of ChatGPT and automated writing evaluation on students’ writing and ideal L2 writing self DOI Creative Commons
Huawei Shi, Ching Sing Chai, Sihan Zhou

et al.

Computer Assisted Language Learning, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 28

Published: Feb. 3, 2025

Language: Английский

Citations

1

Chatbots in education: Hype or help? A meta-analysis DOI Creative Commons
Martin Laun, Fabian Wolff

Learning and Individual Differences, Journal Year: 2025, Volume and Issue: 119, P. 102646 - 102646

Published: Feb. 11, 2025

Language: Английский

Citations

1

Investigating the Effects of Artificial Intelligence-Assisted Language Learning Strategies on Cognitive Load and Learning Outcomes: A Comparative Study DOI
Lijuan Feng

Journal of Educational Computing Research, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 31, 2024

This study investigates the impact of AI-assisted language learning (AIAL) strategies on cognitive load and outcomes in context acquisition. Specifically, explores three distinct AIAL strategies: personalized feedback adaptive learning, interactive exercises with speech recognition, intelligent tutoring data-driven insights. The research employs a pretest-posttest random assignment experimental design, utilizing groups control group, total 484 EFL students specializing teaching English as foreign participating study. Data collection involves pre- post-tests, questionnaires, interviews to assess influence outcomes. Cognitive is measured using Load Scale, while assessments evaluate efficacy interventions across various skills. These results contribute existing body by offering empirical evidence for effectiveness specific optimizing experiences. implications this extend educators, researchers, developers field AIAL, emphasizing potential enhance acquisition processes inform instructional design practices.

Language: Английский

Citations

8

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