Engineering Students’ Use of Large Language Model Tools: An Empirical Study Based on a Survey of Students from 12 Universities

Education Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 280 - 280

Published: Feb. 24, 2025

Large language model (LLM) tools, such as ChatGPT, are rapidly transforming engineering education by enhancing tasks like information retrieval, coding, and writing refinement, which critical to the problem-solving technical focus of disciplines. This study investigates how students use LLM tools challenges they face, offering insights into adoption AI technologies in academic settings. A survey 539 from 12 leading Chinese universities, using UTAUT framework, examines factors technological expectations, environmental support, personal characteristics. The key findings include following: (1) Over 40% with 18.8% regarding them indispensable. (2) Trust AI-generated content remains a central challenge, must critically evaluate its accuracy reliability. (3) Environmental support significantly affects usage, notable regional disparities, particularly between eastern other regions China. (4) persistent digital divide, influenced gender, level, socioeconomic background, depth effectiveness tool use. These results underscore need for targeted address demographic disparities optimize integration education.

Language: Английский

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Large language models and GenAI in education: Insights from Nigerian in-service teachers through a hybrid ANN-PLS-SEM approach

F1000Research, Journal Year: 2025, Volume and Issue: 14, P. 258 - 258

Published: March 4, 2025

Background The rapid integration of Artificial Intelligence (AI) in education offers transformative opportunities to enhance teaching and learning. Among these innovations, Large Language Models (LLMs) like ChatGPT hold immense potential for instructional design, personalized learning, administrative efficiency. However, integrating tools into resource-constrained settings such as Nigeria presents significant challenges, including inadequate infrastructure, digital inequities, teacher readiness. Despite the growing research on AI adoption, limited studies focus developing regions, leaving a critical gap understanding how educators perceive adopt technologies. Methods We adopted hybrid approach, combining Partial Least Squares Structural Equation Modelling (PLS-SEM) Neural Networks (ANN) uncover both linear nonlinear dynamics influencing behavioral intention (BI) 260 Nigerian in-service teachers regarding after participating structured training. Key predictors examined include Perceived Ease Use (PEU), Usefulness (PUC), Attitude Towards (ATC), Your Colleagues (YCC), Technology Anxiety (TA), Teachers’ Trust (TTC), Privacy Issues (PIU). Results Our PLS-SEM results highlight PUC, TA, YCC, PEU, that order importance, predictors, explaining 15.8% variance BI. Complementing these, ANN analysis identified ATC, PUC most factors, demonstrating substantial predictive accuracy with an RMSE 0.87. This suggests while drives PEU positive attitudes are foundational fostering engagement Conclusion need targeted professional development initiatives teachers’ competencies, reduce technology-related anxiety, build trust ChatGPT. study actionable insights policymakers educational stakeholders, emphasizing importance inclusive ethical ecosystem. aim empower support AI-driven transformation resource-limited environments by addressing contextual barriers.

Language: Английский

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Examining predictors of generative-AI acceptance and usage in academic research: a sequential mixed-methods approach

Benchmarking An International Journal, Journal Year: 2025, Volume and Issue: unknown

Published: March 24, 2025

Purpose This research uses a mixed-methods approach to identify predictors of Generative artificial intelligence (Gen-AI) adoption and usage among academics educational researchers. It examines drivers barriers based on the diffusion innovation theory (DIT) planned behaviour (TPB). Design/methodology/approach A qualitative investigation was carried out by conducting interviews academic researchers who used Gen-AI tools such as ChatGPT. Based DIT, TPB analysis results, an integrated model proposed tested using survey data collected from analysed partial least squares-structural equation modelling (PLS-SEM). Findings The study demonstrated that relative advantages observability influence attitude subjective norms, these in turn impact behavioural intentions. Researchers' perception advantage their intentions use were found lead positive behaviours. However, technical limitations ethical concerns acted key moderators between intention norms intention, respectively. Mediation effects also observed. Research limitations/implications utilised DIT its base models, future could incorporate additional constructs other technology theories. concentrated had subsequently reported significant factors affecting usage. Future studies should consider perspective non-users tools. Further, geographical focus India, broaden scope. Practical implications community must unite develop guidelines for plagiarism research. be emphasising importance highlights need establishing standards, comprehensive transparently within framework. Originality/value results can greatly enhance understanding researchers, particularly light about integrity potential negative consequences

Language: Английский

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Engineering students' perceptions and actual use of AI-based math tools for solving mathematical problems

Acta Psychologica, Journal Year: 2025, Volume and Issue: 256, P. 105004 - 105004

Published: April 12, 2025

Language: Английский

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An empirical examination of the adoption of artificial intelligence in banking services: the case of Mongolia

Future Business Journal, Journal Year: 2025, Volume and Issue: 11(1)

Published: April 16, 2025

Abstract Artificial intelligence (AI) has profoundly impacted banking services, particularly in the context of rapid technological advancements. The success sector depends on establishing customers’ intention to adopt AI. However, research AI adoption Mongolia’s remains limited, underscoring need understand consumer behavior and key factors. This paper seeks evaluate attitudes toward adopting services. To achieve this goal, we surveyed perceptions customers from selected banks, yielding 508 participants 487 valid responses for subsequent analysis. proposed model was assessed using a partial least squares approach technical acceptance model. Our findings indicate that banks involved study have already integrated various products. results demonstrate perceived usefulness, trust, significantly enhance AI-enabled Additionally, examines mediating effect banking, identifying ATT as variable between PEOU PU with INT. These provide practical insights stakeholders seeking AI-powered customer service while contributing literature perspective.

Language: Английский

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Unraveling the factors shaping the intention of tourism and hospitality students to engage with ChatGPT: a decision-making exploration

Journal of Teaching in Travel & Tourism, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 20

Published: April 22, 2025

Language: Английский

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Theses Written by Turkish Authors About ChatGPT in The Field of Education and Training: A Content Analysis

Journal of AI, Journal Year: 2025, Volume and Issue: 9(1), P. 56 - 79

Published: May 5, 2025

ChatGPT has undoubtedly been one of the sensational artificial intelligence (AI) chatbots, riveting international scholars from diverse disciplines. In an effort to contribute its curricular integration or explore impacts on pedagogical integration, this study analyzed content Master’s theses stored in Council Higher Education’s (CoHE) National Thesis Center (NTC) and written by Turkish authors field education training. The analysis included (i) documentary characteristics, (ii) methodological properties, (iii) research topics, (iv) main findings. first unit revealed institutional, provincial, regional, collegiate variations, albeit a relatively low number theses. A relevant finding was absence doctoral dissertations ChatGPT. second indicated need for more robustness variety designing third shed light under-researched topics training, as well other fields. last showcased ChatGPT’s manifold applications across different departments, notwithstanding voiced concerns. Overall, illuminates prospective through findings bridges significant literature gap.

Language: Английский

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Factors influencing the acceptance and use of ChatGPT among English as a foreign language learners in Saudi Arabia

Humanities and Social Sciences Communications, Journal Year: 2025, Volume and Issue: 12(1)

Published: May 7, 2025

Language: Английский

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Exploring Students’ Personality Traits and Attitudes toward Artificial Intelligence and its Adoption in Higher Education Learning Experience

Pan-African journal of education and social sciences, Journal Year: 2025, Volume and Issue: 6(1), P. 14 - 29

Published: May 12, 2025

Artificial Intelligence is advancing rapidly, promising efficient and effective learning methodologies in the educational sector, including higher education sector. In particular, AI has facilitated customization enhancement of students’ experiences. Apart from technological factors, personality traits play a role extent to which students adopt AI. This study investigated how postgraduate institution influence their attitude toward willingness new technology. employed thematic qualitative methodology. In-depth interviews focus group discussions were conducted collect data. The findings suggest that relationship between attitudes adopting technology complex. On one hand, seem adoption other perceived usefulness also appears trigger encourage them Furthermore, self-efficacy positive experiences indirectly technology, whereas negative enhance caution using without necessarily discouraging its use.

Language: Английский

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Harnessing AI, Digital Tools, and Online Platforms for Effective Language Teaching

Advances in psychology, mental health, and behavioral studies (APMHBS) book series, Journal Year: 2025, Volume and Issue: unknown, P. 171 - 200

Published: Jan. 17, 2025

The grad development of such techniques as AI, digital tools, and online platforms causes the change in language teaching. This research talks about us how these technologies provide better personalized, enjoyable, fulfilling learning. Learner requirements can thus be used to deliver instruction through natural processing well adaptive learning systems. Language applications virtual reality experiences, concept flexibility accessibility settings space. theoretical foundation is explored, also this focuses on AI learning, assesses numerous products, technology integration methods. More enhancements are expected, other outcomes events explored predict further contributions prospect. As comes its conclusion, it aims serve purpose helping educators leverage technologies, enhance expand instruction.

Language: Английский

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