Charming or chilling? A comprehensive review of ChatGPT’s in education sector DOI
Preeti Bhaskar, Chandan Kumar Tiwari

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

Published: March 8, 2025

Purpose The purpose of this study is to conduct a comprehensive review ChatGPT in the education sector. By delving into published literature, research aims uncover benefits, drawbacks, present applications and prospective uses for various stakeholders. Design/methodology/approach employs quantitative methodologies. Utilizing Scopus database, authors applied Preferred Reporting Items Systematic Reviews Meta-Analyses framework gather data. Additionally, includes bibliometric analysis conducted through VOSviewer visualization tool R Studio achieve objectives. Findings making transformative impact on A thorough literature revealed that has several benefits drawbacks students educators. sheds light explores its key Research limitations/implications PRISMA methodology systematic reviews faces challenges handling publication bias evaluating quality. are limited by their inability comprehensively cover all relevant depend quality included studies. Bibliometric analyses may oversimplify landscapes, neglecting qualitative insights. relies existing introducing potential biases due varied accessibility. study’s focus database time constraints exclude recent significant Practical implications recommendations educational institutions, students, educators, administrative staff service providers. These collectively aim provide guidance stakeholders, fostering an environment where can effectively transform Originality/value This conducts examination sector, with primary emphasis exploring educators staff. highlighting stakeholders opportunities leverage transformation

Language: Английский

Determinants of Generative AI in Promoting Green Purchasing Behavior: A Hybrid Partial Least Squares–Artificial Neural Network Approach DOI Open Access
Behzad Foroughi, Bita Naghmeh‐Abbaspour, Jun Wen

et al.

Business Strategy and the Environment, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 11, 2025

ABSTRACT In the era of rapid technological advancement, generative artificial intelligence (AI) has emerged as a transformative force in various sectors, including environmental sustainability. This research investigates factors and consequences using AI to access information influence green purchasing behavior. It integrates theories such adoption model, value–belief–norm theory, elaboration likelihood cognitive dissonance theory pinpoint prioritize determinants usage for Data from 467 participants were analyzed hybrid methodology that blends partial least squares (PLS) with neural networks (ANN). The PLS outcomes indicate interactivity, responsiveness, knowledge acquisition application, concern, ascription responsibility are key predictors use information. Furthermore, concerns, values, personal norms, responsibility, individual impact, emerge ANN analysis offers unique perspective discloses variations hierarchy these predictors. provides valuable insights stakeholders on harnessing promote sustainable consumer behaviors

Language: Английский

Citations

2
Examining students’ intention to use ChatGPT: Does trust matter? DOI Creative Commons
Md. Shahinur Rahman, Md. Mahiuddin Sabbir, Jing Zhang

et al.

Australasian Journal of Educational Technology, Journal Year: 2023, Volume and Issue: unknown, P. 51 - 71

Published: Dec. 18, 2023

Little knowledge is available on students’ attitudes and behavioural intentions towards using ChatGPT, a breakthrough innovation in recent times. This study bridges this gap by adding two relevant less-explored constructs (i.e., perceived enjoyment informativeness) to the technology acceptance model illustrating moderating effect of trust ChatGPT. Data was collected from 344 private public university students Bangladesh, with analysis done through structural equation modelling. The results highlight significance usefulness, ease use informativeness understanding ChatGPT for learning, which subsequently predicts their intention it. Interestingly, level triggered once issue came into play, meaning had no substantial impact attitude unless moderates relationship between Implications practice or policy Scholars can get first-hand insights usefulness context education. Practitioners educators comprehensively understand antecedents affecting line Policymakers design viable strategies promote ethical sustainable usage

Language: Английский

Citations

38
Does ChatGPT Play a Double-Edged Sword Role in the Field of Higher Education? An In-Depth Exploration of the Factors Affecting Student Performance DOI Open Access
Jiangjie Chen,

Ziqing Zhuo,

Jiacheng Lin

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(24), P. 16928 - 16928

Published: Dec. 18, 2023

The application of generative artificial intelligence in the field education has been receiving increasing attention, with performance chatbot ChatGPT being particularly prominent. This study aims to explore depth impact on higher students utilizing ChatGPT. To this end, we conducted a survey 448 university and employed partial-least squares (PLS) method structural equation modeling for data analysis. results indicate that all eight hypothetical paths posited were supported, surprisingly, hypothesis technology characteristics have direct effect was supported. Moreover, found overall quality is crucial factor determining impact. Overall indirectly affects through task-technology fit, characteristics, compatibility, among which mediating compatibility most significant, followed by characteristics. offers practical recommendations proper use during learning process assists developers enhancing services system.

Language: Английский

Citations

23
Factors Affecting the Adoption and Use of ChatGPT in Higher Education DOI Open Access
Sultan Hammad Alshammarı, Mohammed Habib Alshammari

International Journal of Information and Communication Technology Education, Journal Year: 2024, Volume and Issue: 20(1), P. 1 - 16

Published: Feb. 26, 2024

The current study aims at assessing the factors which could affect students' use of ChatGPT. proposed a theoretical model that included five factors. Data were collected from 136 students using questionnaire. data analyzed two steps: CFA for measuring and SEM analyzing relationships testing hypothesis. findings revealed both performance expectancy facilitating conditions significantly influenced intentions to Contrary expectations, social influence effort had insignificant effects. By elucidating core influencing utilization ChatGPT, this can provide valuable insights policymakers. Furthermore, contributes existing literature lays foundation future research seeking deeper understanding other AI technologies in teaching learning.

Language: Английский

Citations

14
Examining ChatGPT adoption among educators in higher educational institutions using extended UTAUT model DOI
Mohd Abass Bhat, Chandan Kumar Tiwari, Preeti Bhaskar

et al.

Journal of Information Communication and Ethics in Society, Journal Year: 2024, Volume and Issue: 22(3), P. 331 - 353

Published: July 16, 2024

Purpose Based on the Unified Theory of Acceptance and Use Technology (UTAUT) model, this study aims to explore factors influencing educators’ acceptance utilization chat generative pretrained transformer (ChatGPT) in context higher educational institutions. This additionally examines moderating influence trust association between intention adoption ChatGPT. Design/methodology/approach A structured questionnaire was disseminated 1,214 educators following purposive sampling method. The hypothesized relationships extended UTAUT model constructs ChatGPT were examined using structural equation modeling. Findings results indicate positive impact its use behavior (UB) among educators. Performance expectancy, effort hedonic motivation, facilitating conditions habit have a tool education institutions, However, intend personal capacity are negatively influenced by social groups. Moreover, adopt has larger effect UB due involvement trust. Practical implications research adds literature technology emphasizing significance emerging technologies, such as big language models. study’s findings for developers, legislators academics considering implementation teaching research. Originality/value investigates model. It emphasizes role adoption, highlights key reveals paradox: personally inclined but hesitant negative influence. study's novelty lies focus educators, offering valuable insights integrating education.

Language: Английский

Citations

13
Navigating the ethical terrain of AI in higher education: Strategies for mitigating bias and promoting fairness DOI Creative Commons
Emily Barnes, James Hutson

Forum for education studies., Journal Year: 2024, Volume and Issue: 2(2), P. 1229 - 1229

Published: June 21, 2024

Artificial intelligence (AI) and machine learning (ML) are transforming higher education by enhancing personalized academic support, yet they pose significant ethical challenges, particularly in terms of inherent biases. This review critically examines the integration AI education, underscoring dual aspects its potential to innovate educational paradigms essential need address implications avoid perpetuating existing inequalities. The researchers employed a methodological approach that analyzed case studies literature as primary data collection methods, focusing on strategies mitigate biases through technical solutions, diverse datasets, strict adherence guidelines. Their findings indicate establishing an environment is imperative involves comprehensive efforts across policy regulation, governance, education. study emphasizes significance interdisciplinary collaboration addressing complexities bias, highlighting how policy, play pivotal roles creating framework. Ultimately, paper advocates for continuous vigilance proactive ensure contributes positively settings, stressing robust frameworks integrate considerations throughout lifecycle systems their responsible equitable use.

Language: Английский

Citations

11
The Moderating Effects of Gender and Study Discipline in the Relationship between University Students’ Acceptance and Use of ChatGPT DOI Creative Commons
Ibrahim A. Elshaer, Ahmed M. Hasanein, Abu Elnasr E. Sobaih

et al.

European Journal of Investigation in Health Psychology and Education, Journal Year: 2024, Volume and Issue: 14(7), P. 1981 - 1995

Published: July 8, 2024

The intensive adoption of ChatGPT by university students for learning has encouraged many scholars to test the variables that impact on their use such AI in learning. This study adds growing body studies, especially relation moderating role students' gender and discipline acceptance usage process. expanded Unified Theory Acceptance Use Technology (UTAUT) integrating as well disciplines moderators. collected responses from Saudi universities with different genders. results a structural model using Smart PLS showed significant effect relationship between performance expectancy usage. confirmed fostering was stronger male than female students. Moreover, social influence shown significantly affect males more females In addition, findings moderates link same vein, influences sciences applied sciences. Hence, various implications were discussed.

Language: Английский

Citations

11
Modelling continuous intention to use generative artificial intelligence as an educational tool among university students: findings from PLS-SEM and ANN DOI
Mohamed Soliman, Reham Adel Ali, Jamshed Khalid

et al.

Journal of Computers in Education, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 27, 2024

Language: Английский

Citations

11
An empirical evidence on the continuance and recommendation intention of ChatGPT among higher education students in India: An extended technology continuance theory DOI
Ravi Sankar Pasupuleti,

Deepthi Thiyyagura

Education and Information Technologies, Journal Year: 2024, Volume and Issue: 29(14), P. 17965 - 17985

Published: March 5, 2024

Language: Английский

Citations

10
Exploring the Factors Influencing Continuance Intention to Use AI Drawing Tools: Insights from Designers DOI Creative Commons
Pujunqian Fan, Qianling Jiang

Systems, Journal Year: 2024, Volume and Issue: 12(3), P. 68 - 68

Published: Feb. 22, 2024

With the continuous evolution of artificial intelligence technology, AI drawing tools have emerged as highly esteemed instruments in modern design industry. These tools, owing to their exceptional performance and innovative features, offer creators an unprecedented artistic experience. However, factors influencing designers’ continuance intention use remain ambiguous. This study is grounded expectation–confirmation model–information systems (ECM-ISC) model, which further refined hypothesized light characteristics tools. Using structural equation modeling, we analyzed 398 valid questionnaire responses. The results elucidated relationships key constructs, such perceived usefulness, ease use, satisfaction, expectation confirmation, playfulness, switching cost, subjective norms, risk, on intention. Notably, traditionally considered vital, did not result a significant influence or usefulness this research. insight offers new perspectives for tool developers designers, suggesting that while pursuing user friendliness, broader considerations affecting decisions should be taken into account. only enriches theoretical framework but also provides valuable guidance practical field.

Language: Английский

Citations

8