Exploring student perceptions of language learning affordances of Large Language Models: A Q methodology study DOI
Ke Li,

Lulu Lun,

Hu Pingping

et al.

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

Published: Jan. 23, 2025

Language: Английский

The influence of ChatGPT on student engagement: A systematic review and future research agenda DOI Creative Commons
Chung Kwan Lo, Khe Foon Hew, Morris Siu‐Yung Jong

et al.

Computers & Education, Journal Year: 2024, Volume and Issue: 219, P. 105100 - 105100

Published: June 8, 2024

ChatGPT, a state-of-the-art artificial intelligence (AI) chatbot, has gained considerable attention as transformative yet controversial tool for enhancing teaching and learning experiences. Several reviews numerous articles have been written about harnessing ChatGPT in education since its release on November 30, 2022. Besides summarising strengths, weaknesses, opportunities, threats (SWOT) identified previous systematic of research, this review aims to develop new understanding influence student engagement by synthesising the existing related research using three-dimensional framework comprising behavioural, emotional, cognitive aspects. We searched relevant databases included 72 empirical studies published within one year ChatGPT's initial release. The findings reveal robust but narrowly focused evidence behavioural (i.e., work with ChatGPT) disengagement academic dishonesty). emotional aspect is mixed, instances both (e.g., satisfaction interest/fun) disappointment worry/anxiety). There broad weak regarding increased positive self-perception) reduced critical thinking overreliance). Our uncovers several under-explored indicators engagement, pointing need further research. Specifically, future could focus students' study habits attendance (behavioural engagement), social interaction (emotional self-regulation (cognitive engagement) ChatGPT-supported environments.

Language: Английский

Citations

51

Integration of Generative AI Techniques and Applications in Student Behavior and Cognitive Achievement in Arab Higher Education DOI
Mohammed Jaboob, Manar Hazaimeh, Abdullah M. Al-Ansi

et al.

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 14

Published: Jan. 8, 2024

The integration of Artificial Intelligence (AI) in higher education has the power to revolutionize learning experience by fostering engagement, personalization, efficiency, and innovation. AI offers a wide range exciting possibilities where AI-powered tools enable students receive tailored feedback guidance, enabling them learn at their own pace excel academically. This research aims investigate effects generative techniques applications on students' cognitive achievement through student behavior. Data was collected surveys three Arab countries including Oman, Jordan Yemen. 768 from these country's universities were participated completing randomly. Structure Equation Modeling SEM-PLS adopted analysis data. Results reveal that have positive significant institutions. also behavior enhances relationship among techniques, achievement. These results highlight crucial role while this emerging technology is still first stage, interaction with utility show high satisfactory level impact contributes literature giving evidence region filling gap regarding usage education.

Language: Английский

Citations

41

Factors Influencing University Students’ Behavioral Intention to Use Generative Artificial Intelligence: Integrating the Theory of Planned Behavior and AI Literacy DOI
Chengliang Wang, Haoming Wang, Yuanyuan Li

et al.

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 23

Published: July 29, 2024

Generative artificial intelligence (GAI) advancements have ignited new expectations for (AI)-enabled educational transformations. Based on the theory of planned behavior (TPB), this study combines structural equation modeling and interviews to analyze influencing factors Chinese university students' GAI technology usage intention. Regarding AI literacy, cognitive literacy in ethics scored highest (M = 5.740), while awareness lowest 4.578). Students' attitudes toward significantly positively influenced their intention, with combined TPB framework explaining 59.3% variance. subjective norms perceived behavioral control, attitude mediated impact Further, provide insights management leadership regarding construction an ecosystem under application technology.

Language: Английский

Citations

38

ChatGPT for L2 learning: Current status and implications DOI
Lu Yang, Rui Li

System, Journal Year: 2024, Volume and Issue: 124, P. 103351 - 103351

Published: June 25, 2024

Language: Английский

Citations

20

Examining Students’ Acceptance and Use of ChatGPT in Saudi Arabian Higher Education DOI Creative Commons
Abu Elnasr E. Sobaih, Ibrahim A. Elshaer, Ahmed M. Hasanein

et al.

European Journal of Investigation in Health Psychology and Education, Journal Year: 2024, Volume and Issue: 14(3), P. 709 - 721

Published: March 17, 2024

This study examines students’ acceptance and use of ChatGPT in Saudi Arabian (SA) higher education, where there is growing interest the this tool since its inauguration 2022. Quantitative research data, through a self-reporting survey drawing on “Unified Theory Acceptance Use Technology” (UTAUT2), were collected from 520 students one public universities SA at start first semester year 2023–2024. The findings structural equation modeling partially supported UTAUT previous relation to significant direct effect performance expectancy (PE), social influence (SI), effort (EE) behavioral intention (BI) PE, SI, BI actual ChatGPT. Nonetheless, results did not support earlier relationship between facilitating conditions (FCs) both ChatGPT, which was found be negative insignificant second one. These because absence resources, support, aid external sources showed partial mediation link FC education full EE education. provide numerous implications for scholars institutions SA, are also other similar contexts.

Language: Английский

Citations

17

Reconceptualizing Self-Directed Learning in the Era of Generative AI: An Exploratory Analysis of Language Learning DOI

Belle Li,

Curtis J. Bonk, Chaoran Wang

et al.

IEEE Transactions on Learning Technologies, Journal Year: 2024, Volume and Issue: 17, P. 1515 - 1529

Published: Jan. 1, 2024

This exploratory analysis investigates the integration of ChatGPT in self-directed learning (SDL). Specifically, this study examines YouTube content creators' language experiences and role their SDL, building upon Song Hill's conceptual model SDL online contexts. Thematic interviews with 19 YouTubers relevant video contents reveals distinct constructs integrated suggesting a reconceptualization refinement framework consideration generative AI. emphasizes critical aspects utilizing as an tool on two levels: (1) interactive relationships interplay between learners' personal traits ongoing processes (local), (2) evolving nature rapidly advancing landscape AI, socio-political-cultural foundations AI constantly shaping environment where occurs (global). The highlights potential for promoting SDLL provides implications development technologies research AI-facilitated SDL.

Language: Английский

Citations

17

A systematic review of the first year of publications on ChatGPT and language education: Examining research on ChatGPT’s use in language learning and teaching DOI Creative Commons

Belle Li,

Victoria L. Lowell, Chaoran Wang

et al.

Computers and Education Artificial Intelligence, Journal Year: 2024, Volume and Issue: 7, P. 100266 - 100266

Published: July 17, 2024

This systematic review aims to explore published research on the use of ChatGPT in language learning between November 2022 and 2023, outlining types papers, methodologies adopted, publishing journals, major trends, topics interest, existing gaps demanding attention. The PRISMA framework was utilized capture latest articles, selecting 36 articles that met inclusion criteria. Findings extracted from this include (1) authors worldwide contribute topic, with Asia North America leading; (2) wide distribution across various journals underscores interdisciplinary nature such as computer science, psychology, linguistics, education, other social sciences; (3) empirical dominates literature is published, majority focusing higher education ethical considerations. Other findings plays multifaceted roles, supporting self-directed learning, content generation, teacher workflows. Research need for diversified scopes, longitudinal studies, exploration stakeholders' perceptions, assessments feedback quality.

Language: Английский

Citations

17

Deconstructing University Learners' Adoption Intention Towards AIGC Technology: A Mixed‐Methods Study Using ChatGPT as an Example DOI Open Access
Chengliang Wang, Xiaojiao Chen, Zhebing Hu

et al.

Journal of Computer Assisted Learning, Journal Year: 2025, Volume and Issue: 41(1)

Published: Jan. 15, 2025

ABSTRACT Background ChatGPT, as a cutting‐edge technology in education, is set to significantly transform the educational landscape, raising concerns about technological ethics and equity. Existing studies have not fully explored learners' intentions adopt artificial intelligence generated content (AIGC) technology, highlighting need for deeper insights into factors influencing adoption. Objectives This study aims investigate higher education adoption towards AIGC with focus on understanding underlying reasons future prospects its application education. Methods The research divided two phases. First, an exploratory analysis involving practical activities interviews develops action decision framework Second, confirmatory using fuzzy‐set qualitative comparative 233 valid questionnaires identifies six configurations associated high intentions, emphasising roles of AI literacy perceived behavioural control. Results Conclusions reveals key adoption, including importance It provides actionable educators learners prepare effectively integrate ensuring equitable adaptive practices.

Language: Английский

Citations

6

Determinants of ChatGPT Use and its Impact on Learning Performance: An Integrated Model of BRT and TPB DOI
Noor Al-Qaysi, Mostafa Al‐Emran, Mohammed A. Al‐Sharafi

et al.

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 13

Published: June 7, 2024

The rapid emergence of Generative Artificial Intelligence (GAI) heralds a significant shift, opening new frontiers in how education is delivered. This groundbreaking wave technological advancement poised to redefine traditional learning, promising enhance the educational landscape with unprecedented levels personalized learning and accessibility. Despite GAI's progressive infiltration into various strata, limited empirical research exists on its impact students' performance. Drawing Theory Planned Behavior (TPB) Behavioral Reasoning (BRT), this study investigates determinants affecting use ChatGPT influence data were collected from 357 university students analyzed using PLS-SEM technique. results supported role positively In addition, showed that reasons for against adoption are pivotal shaping attitudes. found be significantly affected by attitudes, subjective norms, perceived behavioral control. Besides theoretical contributions, findings offer implications stakeholders underscore necessity institutions foster conducive environment GAI adoption, addressing ethical technical concerns optimize experiences.

Language: Английский

Citations

15

Examining Chinese preservice mathematics teachers’ adoption of AI chatbots for learning: Unpacking perspectives through the UTAUT2 model DOI
Tommy Tanu Wijaya,

Mingyu Su,

Yiming Cao

et al.

Education and Information Technologies, Journal Year: 2024, Volume and Issue: unknown

Published: July 2, 2024

Language: Английский

Citations

15