Exploring factors influencing the acceptance of ChatGPT in higher education: A smart education perspective

Heliyon, Journal Year: 2024, Volume and Issue: 10(11), P. e31887 - e31887

Published: May 25, 2024

AI-powered chatbots hold great promise for enhancing learning experiences and outcomes in today's rapidly evolving education system. However, despite the increasing demand such technologies, there remains a significant research gap regarding factors influencing users' acceptance adoption of educational contexts. This study aims to address this by investigating that shape attitudes, intentions, behaviors towards adopting ChatGPT smart systems. employed quantitative approach, data were collected from 458 participants through structured questionnaire designed measure various constructs related technology acceptance, including perceived ease use, usefulness, feedback quality, assessment subject norms, attitude behavioral intention use ChatGPT. Structural model analysis (SEM) Statistical techniques then utilized examine relationships between these constructs. The findings revealed Perceived usefulness emerged as predictors attitudes education. Additionally, norms found positively influence intentions purposes. Moreover, significantly proved actual few hypotheses, relationship trust not supported data. contributes existing body information systems applications determining factor context.

Language: Английский

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Determinants of Humanities and Social Sciences Students’ Intentions to Use Artificial Intelligence Applications for Academic Purposes

Information, Journal Year: 2024, Volume and Issue: 15(6), P. 314 - 314

Published: May 28, 2024

Recent research emphasizes the importance of Artificial Intelligence applications as supporting tools for students in higher education. Simultaneously, an intensive exchange views has started public debate international educational community. However, a more proper use these applications, it is necessary to investigate factors that explain their intention and actual future. With Unified Theory Acceptance Use Technology (UTAUT2) model, this work analyses influencing students’ technology. For purpose, sample 197 Greek at School Humanities Social Sciences from University Patras participated survey. The findings highlight expected performance, habit, enjoyment are key determinants teachers’ intentions them. Moreover, behavioural intention, facilitating conditions usage applications. This study did not reveal any moderating effects. limitations, practical implications, proposed directions future based on results discussed.

Language: Английский

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Investigating influencing factors of learning satisfaction in AI ChatGPT for research: University students perspective

Heliyon, Journal Year: 2024, Volume and Issue: 10(11), P. e32220 - e32220

Published: May 31, 2024

This study investigates the determinants of ChatGPT adoption among university students and its impact on learning satisfaction. Utilizing Technology Acceptance Model (TAM) incorporating insights from interaction learning, collaborative information quality, a structural equation modeling approach was employed. research collected valuable responses 262 at King Faisal University in Saudi Arabia through use self-report questionnaires. The data's reliability validity were assessed using confirmation factor analysis, followed by path analysis to explore hypotheses proposed model. results indicate pivotal roles fostering adoption. Social played significant role, as researchers engaging conversations knowledge-sharing expressed increased comfort with ChatGPT. Information quality found substantially influence researchers' decisions continue ChatGPT, emphasizing need for ongoing improvement accuracy relevance content provided. Perceived ease perceived usefulness intermediary linking engagement User-friendly interfaces utility identified crucial factors affecting overall satisfaction levels. Notably, positively impacted motivation, indicating potential enhance student interest learning. study's findings have implications educational practitioners seeking improve implementation AI technologies students, user-friendly design, influencing concludes into complex interplay between AI-powered tools, objectives, highlighting continued comprehensively understand these dynamics.

Language: Английский

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A SEM–ANN analysis to examine impact of artificial intelligence technologies on sustainable performance of SMEs

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 13, 2025

This study investigates the impact of Artificial Intelligence (AI) adoption on sustainable performance small and medium-sized enterprises (SMEs). Employing a hybrid quantitative approach, this research combines Partial Least Squares Structural Equation Modeling (PLS-SEM) Neural Networks (ANN) to examine influence various organizational, technological, external factors AI adoption. Key considered include top management support, employee capability, customer pressure, complexity, vendor relative advantage. Data collected from 305 SMEs across multiple sectors were analyzed. The results reveal that all proposed significantly positively affect adoption, with advantage being most influential predictors. Additionally, technologies substantially enhances economic, social, environmental SMEs, reflecting improvements in operational efficiency, cost reduction, social value creation. ANN confirm robustness SEM findings, highlighting critical role driving sustainability outcomes. Furthermore, emphasizes positive mediation effects organizational performance, indicating serves as key enabler achieving both short-term gains long-term objectives. contributes understanding AI's transformative enhancing developing economies, offering strategic insights for policymakers business leaders.

Language: Английский

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Enhancing postgraduate digital academic writing proficiency: the interplay of artificial intelligence tools and ChatGPT

Interactive Learning Environments, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 19

Published: Jan. 24, 2025

Language: Английский

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The Adoption of Digital Technologies by Small and Medium-Sized Enterprises for Sustainability and Value Creation in Pakistan: The Application of a Two-Staged Hybrid SEM-ANN Approach

Sustainability, Journal Year: 2024, Volume and Issue: 16(17), P. 7351 - 7351

Published: Aug. 26, 2024

Digital technologies have revolutionized the business field, offering significant opportunities for small and medium-sized enterprises (SMEs) to enhance sustainability value creation. This study investigates impact of digital technology adoption on economic social creation, as well SME performance. Specifically, it examines how media applications, big data analytics, IoT blockchain AI-enabled applications influence within SMEs. We employed a hybrid approach integrating Structural Equation Modeling (SEM) Artificial Neural Network (ANN) techniques using SmartPLs 4.0 Application; this research analyzes these relationships. For our analysis, were collected from 305 managers operating in Upper Sindh, Pakistan, specifically major cities like Sukkur, Larkana, Shikarpur, Jacobabad, Khairpur. The findings reveal that significantly contribute both creation Conversely, show no Importantly, positively correlates with enhanced enriches understanding SMEs particularly enhancing Through advanced methodologies rigorous bridges theory practical SMEs’ transformation.

Language: Английский

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What is the influence of psychosocial factors on artificial intelligence appropriation in college students?

BMC Psychology, Journal Year: 2025, Volume and Issue: 13(1)

Published: Jan. 4, 2025

In recent years, the adoption of artificial intelligence (AI) has become increasingly relevant in various sectors, including higher education. This study investigates psychosocial factors influencing AI among Peruvian university students and uses an extended UTAUT2 model to examine constructs that may impact acceptance use. employed a quantitative approach with survey-based design. A total 482 from public private universities Peru participated research. The utilized partial least squares structural equation modeling (PLS-SEM) analyze data test hypothesized relationships between constructs. findings revealed three out six significantly influenced students. Performance expectancy (β = 0.274), social influence 0.355), learning self-efficacy 0.431) were found have significant positive effects on adoption. contrast expectations, ethical awareness, perceived playfulness, readiness anxiety did not impacts appropriation this context. highlights importance practical benefits, context, self-confidence within These contribute understanding diverse educational settings provide framework for developing effective implementation strategies education institutions. results can guide policymakers creating targeted approaches enhance integration academic environments, focusing demonstrating value AI, leveraging networks, building students' confidence their ability learn use technologies.

Language: Английский

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Evaluating the influence of generative AI on students’ academic performance through the lenses of TPB and TTF using a hybrid SEM-ANN approach

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

Published: March 12, 2025

Language: Английский

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International perspectives on artificial intelligence in higher education: An explorative study of students’ intention to use ChatGPT across the Nordic countries and the USA

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

Published: March 20, 2025

Language: Английский

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ChatGPT usage and attitudes are driven by perceptions of usefulness, ease of use, risks, and psycho-social impact: a study among university students in the UAE

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

Published: Aug. 7, 2024

Background The use of ChatGPT among university students has gained a recent popularity. current study aimed to assess the factors driving attitude and usage as an example generative artificial intelligence (genAI) in United Arab Emirates (UAE). Methods This cross-sectional was based on previously validated Technology Acceptance Model (TAM)-based survey instrument termed TAME-ChatGPT. self-administered e-survey distributed by emails for enrolled UAE universities during September–December 2023 using convenience-based approach. Assessment demographic academic variables, TAME-ChatGPT constructs’ roles conducted univariate followed multivariate analyses. Results final sample comprised 608 participants, 91.0% whom heard while 85.4% used before study. Univariate analysis indicated that positive associated with three constructs namely, lower perceived risks, anxiety, higher scores technology/social influence. For usage, being male, nationality, point grade average (GPA) well four usefulness, risks use, behavior/cognitive construct ease-of-use construct. In analysis, only explained variance towards (80.8%) its (76.9%). Conclusion findings is commonplace UAE. determinants included cognitive behavioral factors, ease determined These should be considered understanding motivators successful adoption genAI including education.

Language: Английский

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