The influence of ChatGPT on student engagement: A systematic review and future research agenda

Computers & Education, Год журнала: 2024, Номер 219, С. 105100 - 105100

Опубликована: Июнь 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.

Язык: Английский

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Enhancing academic performance of business students using generative AI: An interactive-constructive-active-passive (ICAP) self-determination perspective

The International Journal of Management Education, Год журнала: 2024, Номер 22(2), С. 100958 - 100958

Опубликована: Фев. 25, 2024

Язык: Английский

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An Empirical Evaluation of a Generative Artificial Intelligence Technology Adoption Model from Entrepreneurs’ Perspectives

Systems, Год журнала: 2024, Номер 12(3), С. 103 - 103

Опубликована: Март 18, 2024

Technologies, such as Chat Generative Pre-Trained Transformer (ChatGPT), are prime examples of Artificial Intelligence (AI), which is a constantly evolving area. SMEs, particularly startups, can obtain competitive edge, innovate their business models, gain value, and undergo digital transformation by implementing these technologies. Continuous but gradual experimentation with technologies the foundation for adoption. The experience that comes from trying new help entrepreneurs adopt more strategically experiment them. urgent need an in-depth investigation highlighted paucity previous research on ChatGPT uptake in startup context, entrepreneurial perspective. objective this study to empirically validate AI technology adoption model establish direction strength correlations among factors perspectives entrepreneurs. data collected 482 who exhibit great diversity genders, countries startups located, industries serve, age, educational levels, work entrepreneurs, length time have been market. Collected analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) technique, results statistical examination relationships between model’s factors. indicate social influence, domain experience, familiarity, system quality, training support, interaction convenience, anthropomorphism impact pre-perception perception phase These motivate technology, thereby building perceptions its usefulness, perceived ease use, enjoyment, three turn affect emotions toward and, finally, switching intentions. Control variables like gender, attainment no appreciable effect intentions alternatives technology. Rather, factor running businesses shows itself be crucial one. practical implications other innovation ecosystem actors, including, instance, providers, libraries, policymakers. This enriches acceptance theory extends existing literature introducing stages specific entrepreneurship.

Язык: Английский

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Could AI Ethical Anxiety, Perceived Ethical Risks and Ethical Awareness About AI Influence University Students’ Use of Generative AI Products? An Ethical Perspective

International Journal of Human-Computer Interaction, Год журнала: 2024, Номер unknown, С. 1 - 23

Опубликована: Март 8, 2024

The study aims to explore the factors that influence university students' behavioral intention (BI) and use behavior (UB) of generative AI products from an ethical perspective. Referring decision-making theory, research model extends UTAUT2 with three influencing factors: awareness (EA), perceived risks (PER), anxiety (AIEA). A sample 226 students was analysed using Partial Least Squares Structural Equation Modelling technique (PLS-SEM). results further validate effectiveness UTAUT2. Furthermore, performance expectancy, hedonistic motivation, price value, social all positively BI products, except for effort expectancy. Facilitating conditions habit show no significant impact on BI, but they can determine UB. extended perspective play roles as well. AIEA PER are not key determinants BI. However, directly inhibit From mediation analysis, although do have a direct UB, it inhibits UB indirectly through AIEA. Ethical Nevertheless, also increase PER. These findings help better accept ethically products.

Язык: Английский

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Generative Artificial Intelligence (AI) Technology Adoption Model for Entrepreneurs: Case of ChatGPT

Internet Reference Services Quarterly, Год журнала: 2024, Номер 28(2), С. 223 - 242

Опубликована: Янв. 5, 2024

This article presents an extensive Generative AI Technology Adoption Model intended to elucidate the complex process that entrepreneurs and other innovation ecosystem actors, for instance, libraries, go through its adoption. The model suggests adoption happens in three stages: Pre-Perception & Perception, Assessment, Outcome. During Perception Phase, initiate their technology exploration by navigating social factors, domain experience, technological familiarity, system quality, training support, interaction convenience, anthropomorphism; with utilitarian value hedonic values playing important role. As they transition Assessment Stage, perceived usefulness, ease of use, a novel addition, enjoyment, shape evaluations, leading generations emotions toward it, overweighting values. finishes Outcome where developed Stage become tangible intentions switch (use or human services). highlights factors (also called latent variables) relationships grounded on researcher's professional experiences need be further empirically validated. Entrepreneurial implications highlight strategic insights model, providing decision-making roadmap highlighting between hedonistic Entrepreneurs can create well-informed integrations are line business objectives using incremental process. model's focus comparative evaluations gives ability strategically map usability best possible commercial results. offers nuanced understanding entrepreneurs' processes, which is also applicable actors ecosystem.

Язык: Английский

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Knowledge, attitudes, and perceived Ethics regarding the use of ChatGPT among generation Z university students

International Journal for Educational Integrity, Год журнала: 2024, Номер 20(1)

Опубликована: Июнь 18, 2024

Abstract Artificial intelligence (AI) has been integrated into higher education (HE), offering numerous benefits and transforming teaching learning. Since its launch, ChatGPT become the most popular learning model among Generation Z college students in HE. This study aimed to assess knowledge, concerns, attitudes, ethics of using HE Peru. An online survey was administered 201 with prior experience for academic activities. Two six proposed hypotheses were confirmed: Perceived Ethics (B = 0.856) Student Concerns 0.802). The findings suggest that students’ knowledge positive attitudes toward do not guarantee effective adoption use. It is important investigate how optimism, skepticism, or apathy AI develop these influence intention use technologies such as settings. dependence on raises ethical concerns must be addressed responsible programs No sex age differences found relationship between ChatGPTs perceived students. However, further studies diverse samples are needed determine this relationship. To promote HE, institutions comprehensive training programs, guidelines, policies address issues integrity, privacy, misinformation. These initiatives should aim educate university teachers other AI-based tools, fostering a culture leverage mitigate potential risks, lack integrity.

Язык: Английский

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Examining Students’ Acceptance and Use of ChatGPT in Saudi Arabian Higher Education

European Journal of Investigation in Health Psychology and Education, Год журнала: 2024, Номер 14(3), С. 709 - 721

Опубликована: Март 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.

Язык: Английский

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Determinants of ChatGPT Use and its Impact on Learning Performance: An Integrated Model of BRT and TPB

International Journal of Human-Computer Interaction, Год журнала: 2024, Номер unknown, С. 1 - 13

Опубликована: Июнь 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.

Язык: Английский

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What makes for digital entrepreneurs? The role of AI-related drivers for nascent digital start-up activities

European Journal of Innovation Management, Год журнала: 2024, Номер unknown

Опубликована: Июнь 11, 2024

Purpose Applying the Stimulus–Organism–Response (SOR) model, this study aims to explore how AI-driven stimuli (e.g. ChatGPT adoption in entrepreneurship and perceived AI competencies) stimulate individuals’ cognitive organisms digital entrepreneurial opportunity exploration exploitation), these individually, congruently, incongruently trigger their behavioral responses nascent start-up activities). Design/methodology/approach Utilizing a sample of 1326 MBA students Vietnam with stratified sampling approach, multiple linear regression polynomial response surface analysis were used test hypotheses. Findings The findings reveal that competencies have positive significant impact on exploitation, which turn, positively affects activities. Moreover, also reports exploitation can be congruently combined each other effects Practical implications Some valuable recommendations based been provided for practitioners policymakers. Originality/value contributes academic landscape by validating SOR model within context entrepreneurship. It emphasizes sequential processes stimulus, responses, outcomes, shedding light nuanced landscape.

Язык: Английский

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Examining students’ intention to use ChatGPT: Does trust matter?

Australasian Journal of Educational Technology, Год журнала: 2023, Номер unknown, С. 51 - 71

Опубликована: Дек. 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

Язык: Английский

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