ChatGPT in the higher education: A systematic literature review and research challenges

International Journal of Educational Research, Journal Year: 2024, Volume and Issue: 127, P. 102411 - 102411

Published: Jan. 1, 2024

ChatGPT has gained significant attention in the higher education sector as it can be applied across a wide range of topics. Despite ChatGPT's versatility offering support various educational disciplines, is still its early stages and requires further exploration to fully utilized effectively education. This systematic literature review aims explore trends, adoption measures, diverse applications, current limitations research systematically analyzed 57 articles published between 2023 2024. study identified trends by providing temporal views, geographical locations, methods used. Furthermore, this explored users' intention adopt use focusing on post-adoption, use, acceptance stages. Considering extensive advantages brings academic community, explores applications settings for staff, students, researchers, non-academic users. Finally, outlined within proposed future directions, aiming continuous improvement field. benefit valuable insights into effective utilization ChatGPT.

Language: Английский

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Privacy fatigue and its effects on ChatGPT acceptance among undergraduate students: is privacy dead?

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

Published: Jan. 10, 2025

Language: Английский

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How understanding the limitations and risks of using ChatGPT can contribute to willingness to use

Smart Learning Environments, Journal Year: 2024, Volume and Issue: 11(1)

Published: Aug. 5, 2024

Abstract Generative Artificial Intelligence (GAI) holds promise for enhancing the educational experience by providing personalized feedback and interactive simulations. While its integration into classrooms would improve education, concerns about how students may use AI in class has prompted research on perceptions related to intention implement GAI, such as perceived benefits, limitations associated risks teaching learning practices. This study examines of GAI among 366 United Arab Emirates based survey results. To do that, initially factor analysis was utilized identify relevant scales, followed comparing mean values each scale extent agreement with statement regarding students' willingness ChatGPT. The revealed a high awareness respondents limitations, using confirms that potential benefits is ChatGPT future. Contrary expectations, positive relationship found between ChatGPT, challenging traditional views act barriers. Similarly, positively suggesting nuanced risk perception technology adoption education.The current provides new insights importance informing individuals addition these factors are closely making decision further usage.

Language: Английский

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Factors Influencing Attitudes of University Students towards ChatGPT and its Usage: A Multi-National Study Validating the TAME-ChatGPT Survey Instrument

Published: Sept. 22, 2023

Artificial intelligence (AI)-based models hold the potential to transform higher education if adopted properly and ethically. A prime example is ChatGPT with earlier studies indicating its widespread adoption in academia by university students. The current study aimed identify factors influencing attitude towards usage among students Arab countries. previous survey instrument termed Technology Acceptance Model Edited Assess Adoption (TAME-ChatGPT) was administered online using a convenience-based approach contacts of authors. Confirmatory factor analysis (CFA) for constructs done root mean square error approximation (RMSEA), standardized residual (SRMR), comparative fit index (CFI), Tucker-Lewis (TLI). final sample comprised total 2240 participant divided as follows: Iraq (n=736, 32.9%), Kuwait (n=582, 26.0%), Egypt (n=417, 18.6%), Lebanon (n=263, 11.7%), Jordan (n=242, 10.8%). 1048 respondents heard before (46.8%), which 551 used (52.6%). scores TAME-ChatGPT showed that ease use, positive technology social influence, perceived usefulness, influence behavioral/cognitive factors, low risks anxiety were determinants use. For both scales TAME-ChatGPT, CFA collectively yielded satisfactory indices indicated RMSEA SRMR together high CFI TLI. Multivariate use significantly influenced country residence, age, type, latest grade point average confirmed validity assess possible findings highlighted successful could be dependent on attitudes technology, lower anxiety, minimal risks. utility requires policies should tailored various settings, considering differences observed participating this study.

Language: Английский

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The attitudes and perceptions of Chinese Literature students in Mandarin learning using ChatGPT

Linguistics Initiative, Journal Year: 2025, Volume and Issue: 5(1), P. 38 - 46

Published: Feb. 24, 2025

Nowadays, ChatGPT usage is widely known in various aspects, including language learning. This study aims to understand the perceptions and attitudes of Chinese literature students regarding use for Mandarin A survey research method was employed, data were collected from 32 who had experience using The findings indicate that generally have positive towards ChatGPT, considering it convenient effective learning Mandarin. They perceive advantages such as improving quality their enhancing skills. However, concerns about potential disadvantages, issues with plagiarism or inaccurate information, also identified. These suggest a valuable tool learning, but further needed address related accuracy optimize its effectiveness educational settings.

Language: Английский

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Students' Perception of Using ChatGPT as an AI-Integrated Tool in the Malay Language

Jurnal Penelitian dan Pengkajian Ilmu Pendidikan e-Saintika, Journal Year: 2025, Volume and Issue: 9(1), P. 13 - 31

Published: Feb. 28, 2025

This study examines the perceptions of students using ChatGPT in Malay language. To meet aims, We adopted theory technology acceptance model (TAM). The focuses on system quality, information service user satisfaction, perceived net benefits, and awareness ethics plagiarism. Data were collected through a Qualtrics survey. finding informed that quality achieved mean score 3.375, indicating ease use flexibility. Information received 3.27, suggesting accuracy usefulness. Service scored 3.207, reflecting adequate technical support consistent performance. User satisfaction was remarkably high, with 3.334, demonstrating strong confidence contentment ChatGPT’s functionality. Perceived benefits 3.337, highlighting language skills communication efficiency enhancements. Meanwhile, ethical considerations moderately addressed, 3.115, need for improved education responsible use. findings suggest is valuable tool language, areas further enhancement practices. At same time, understanding users’ will also help create between relevant AI resources, inform policies use, enhance learning experience learners.

Language: Английский

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Continuous use of AI technology: the roles of trust and satisfaction

Aslib Journal of Information Management, Journal Year: 2025, Volume and Issue: unknown

Published: March 14, 2025

Purpose Chat Generative Pretrained Transformer (ChatGPT), a chatbot with artificial intelligence (AI) technology, opens up new directions for innovation. However, the extent to which literature has not considered trustworthiness and satisfaction of ChatGPT. Those are important elements leading continuous use (CU). Particularly, this study investigates ChatGPT Translate function. Requirements task-AI-technology fit, trust relevant addressed in study. Design/methodology/approach Task-technology fit (TTF) theory forms theoretical lens examine influences TTF, AI-tech on CU AI technology. A questionnaire survey was used data collection. Structural equation modeling employed test research model. Findings The findings show task technology characteristics have positive effects fit. Task-AI-technology effect trust, turn Finally, level by users satisfied its responses is higher than dissatisfied responses. Originality/value results practical implications academia industry devise strategies policies free-to-use system.

Language: Английский

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Validating the ChatGPT Usage Scale: psychometric properties and factor structures among postgraduate students

BMC Psychology, Journal Year: 2024, Volume and Issue: 12(1)

Published: Sept. 24, 2024

Language: Английский

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Generative KI im universitären Kontext – Die Perspektive der Studierenden

Zeitschrift für Hochschulentwicklung, Journal Year: 2025, Volume and Issue: 20(SH-KI-2), P. 81 - 100

Published: Feb. 27, 2025

Der Beitrag untersucht die Perspektive von Studierenden in Bezug auf generative KI am Beispiel ChatGPT im universitären Kontext. Dabei geht es unter anderem um deren persönlichen Einsatz, ihre diesbezügliche Einschätzung sowie Zusammenhänge zwischen Ängstlichkeit, Einstellungen und Einsatzhäufigkeit. Die Datenerhebung mit N = 262 (n 70 weiblich, Alter: M 22.24) verschiedener Fachrichtungen fand mittels eines theoriegeleiteten Fragebogens statt. Ergebnisse zeigen, dass ein großer Teil der verwendet, Wunsch nach Vorgaben Richtlinien allerdings stark ausgeprägt ist, alle untersuchten Konstrukte miteinander Zusammenhang stehen. Bedeutung wird diskutiert, Implikationen für Praxis zukünftige Forschung werden abgeleitet.

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Bibliometric Top Ten Healthcare Related ChatGPT Publications in Scopus, Web of Science, and Google Scholar in the First ChatGPT Anniversary (Preprint)

Published: Dec. 1, 2023

Since its public release on 30 November 2022, ChatGPT has shown a promising potential in diverse healthcare applications, despite challenges related to ethics, privacy issues, and possible biases. Bibliometric analysis is useful tool assess the themes recommendations of most cited publications field utility healthcare, newly emerging research topic. To identify top ten different scientific databases future trajectory needed based these influential papers. The study employed an advanced search three databases: Scopus, Web Science, Google Scholar ChatGPT-related records education, research, practice between 27 2023. Ranking was retrieved citation count each database. Other metrics evaluated included Semantic highly citations, PlumX metrics, Altmetric Attention Scores (AASs). A total 22 unique published 17 journals from 14 publishers were identified databases. Only two found 10 list across Variable publication types with common being editorial/commentary (n=8/22, 36.4%). Nine out had corresponding authors affiliated institutions United States (40.9%). range varied per database highest (1019–121), Scopus (242–88), Science (171–23). Significant positive correlations detected citations (Spearman’s correlation coefficient (ρ)=.840, P<.001), captures (ρ=.831, mentions (ρ=.609, P=.004), AASs (ρ=.542, P=.009). papers recommended exploring use streamlining clinical workflow, investigation ethical use, usefulness medical writing, mitigating misinformation risks. Despite several acknowledged limitations, bibliometric this showed evolving landscape highlighted trajectories swiftly subject. This need for more rigorous studies evaluate performance as aid ability enhance workflow. There urgent collaborative initiatives by all stakeholders involved establish guidelines ethical, transparent, responsible healthcare.

Language: Английский

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