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

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

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Assessing the impact of AI-chatbot service quality on user e-brand loyalty through chatbot user trust, experience and electronic word of mouth

Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 79, P. 103867 - 103867

Published: April 22, 2024

Language: Английский

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Exploring User Adoption of ChatGPT: A Technology Acceptance Model Perspective

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 15

Published: Feb. 22, 2024

In the rapidly evolving landscape of technology, emergence Chat Generative Pre-trained Transformer (ChatGPT) marks a pivotal milestone in realm Artificial Intelligence (AI). However, little research has reported predictors people's intentions to use ChatGPT. This pioneering study empirically examines user adoption through lens Technology Acceptance Model (TAM) using convenience sampling method. The surveyed 784 ChatGPT users China, whom 58.93% were males. results have revealed several key findings: (1) perceived usefulness, ease use, behavioral intention, and behavior positively correlated with each other; (2) intention acted as mediating factor relationship between usefulness behavior, well behavior; (3) played chain-mediated role (4) exhibited greater strength among females compared males; (5) association was found be stronger urban comparison their rural counterparts; (6) connections observed individuals higher educational backgrounds relative those lower backgrounds. These findings provide crucial nuanced insights advance practical application ChatGPT, emphasizing need for enhanced usability use. this exclusively captured usage behaviors within Chinese base. Future investigations could encompass diverse demographics across multiple countries, enabling cross-cultural comparisons.

Language: 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, 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

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Exploring the impact of generative AI-based technologies on learning performance through self-efficacy, fairness & ethics, creativity, and trust in higher education

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

Published: Aug. 24, 2024

Language: Английский

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Determinants of Generative AI in Promoting Green Purchasing Behavior: A Hybrid Partial Least Squares–Artificial Neural Network Approach

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

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Unraveling the dark side of ChatGPT: a moderated mediation model of technology anxiety and technostress

Information Technology and People, Journal Year: 2024, Volume and Issue: unknown

Published: May 17, 2024

Purpose Limited knowledge exists regarding the adverse effects of artificial intelligence adoption, including platforms like ChatGPT, on users’ mental well-being. The current research seeks to adopt insight from stressor-strain-outcome paradigm and a moderated mediation model examine how technology anxiety moderates direct indirect relationships between compulsive use technostress, life satisfaction. Design/methodology/approach Drawing data sample 2,602 ChatGPT users in Vietnam, PROCESS macro was approached test model. Findings findings indicate that exhibited substantial positive impact while technostress found have negative influence Moreover, although did not show significant effect, it indirectly impacts satisfaction via technostress. Remarkably, significantly moderate both associations Practical implications Based this research, some practical are provided. Originality/value offers fresh perspective by applying provide empirical evidence relationship thus sheds new light adoption its health.

Language: Английский

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The Moderating Effects of Gender and Study Discipline in the Relationship between University Students’ Acceptance and Use of ChatGPT

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

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Intelligent Manufacturing through Generative Artificial Intelligence, Such as ChatGPT or Bard

SSRN Electronic Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

This research paper explores the transformative possibilities arising from integration of ChatGPT, an advanced language model, into domain intelligent manufacturing. In face rapid changes in manufacturing landscape, there is increasing demand for adaptive and systems to elevate efficiency, productivity, decision-making processes. study investigates incorporation ChatGPT's or Bard cutting-edge natural processing capabilities various forefront aspects establish a novel paradigm The ChatGPT processes presents versatile approach tackle challenges seize opportunities within modern production systems. A pivotal aspect this lies augmenting human-machine collaboration factory. understanding facilitates seamless communication between human operators automated systems, fostering more intuitive responsive environment. Additionally, delves utilization predictive maintenance facilities. Through analysis historical data real-time information, can provide insights potential equipment failures, enabling proactive strategies that mitigate downtime optimize resource utilization. also application supply chain management. model's capacity process vast amounts textual contributes improved forecasting, inventory optimization, risk results resilient agile ecosystem capable adapting dynamic market conditions. Furthermore, role quality control defect detection. model analyze intricate patterns data, identifying anomalies defects with high degree accuracy. Integrating assurance ensures higher product quality, reducing waste, enhancing overall customer satisfaction. findings highlight revolutionize processes, propelling industry towards greater adaptability, competitiveness rapidly evolving global market.

Language: Английский

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ChatGPT in higher education: factors influencing ChatGPT user satisfaction and continued use intention

Frontiers in Education, Journal Year: 2024, Volume and Issue: 9

Published: May 3, 2024

Artificial intelligence (AI) chatbots, represented by ChatGPT, have shown significant improvement in natural learning and problem analysis solving, which could trigger a profound change the education sector far-reaching impact on educational practices. This study aimed to gain insights into various impacts users’ experience when using AI tool ChatGPT higher education. The analyzed questionnaire data from 328 college students who used ChatGPT. Employing structural equation modeling, this examined technology acceptance model setting identify factors influencing continued use of results show that ChatGPT’s compatibility positively affected perceived ease efficiency usefulness. Furthermore, usefulness were identified as core affecting satisfaction intentions, with user showing positive effect intention. findings not only provide new perspectives human–computer interaction theory but also further refine functions current smart devices. will help promote progress technology, while deepening understanding relationship between attitude behavior.

Language: Английский

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