Deconstructing University Learners' Adoption Intention Towards AIGC Technology: A Mixed‐Methods Study Using ChatGPT as an Example

Journal of Computer Assisted Learning, Journal Year: 2025, Volume and Issue: 41(1)

Published: Jan. 15, 2025

ABSTRACT Background ChatGPT, as a cutting‐edge technology in education, is set to significantly transform the educational landscape, raising concerns about technological ethics and equity. Existing studies have not fully explored learners' intentions adopt artificial intelligence generated content (AIGC) technology, highlighting need for deeper insights into factors influencing adoption. Objectives This study aims investigate higher education adoption towards AIGC with focus on understanding underlying reasons future prospects its application education. Methods The research divided two phases. First, an exploratory analysis involving practical activities interviews develops action decision framework Second, confirmatory using fuzzy‐set qualitative comparative 233 valid questionnaires identifies six configurations associated high intentions, emphasising roles of AI literacy perceived behavioural control. Results Conclusions reveals key adoption, including importance It provides actionable educators learners prepare effectively integrate ensuring equitable adaptive practices.

Language: Английский

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Extending the Technology Acceptance Model: The Role of Subjective Norms, Ethics, and Trust in AI Tool Adoption Among Students

Computers and Education Artificial Intelligence, Journal Year: 2025, Volume and Issue: unknown, P. 100379 - 100379

Published: Feb. 1, 2025

Language: Английский

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Adoption and impact of generative artificial intelligence on blockchain-enabled supply chain efficiency

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

Published: Jan. 14, 2025

Purpose The purpose of this study is to investigate the primary determinants influencing acceptance generative artificial intelligence (GAI) adoption within Blockchain-enabled environments. Further research will examine impact GAI on supply chain efficiency (SCE) through enhancement Blockchain. Design/methodology/approach Drawing innovation diffusion theory (IDT), used partial least square structural equation modelling (PLS-SEM) look into hypotheses. data were gathered via online questionnaires from employers Chinese enterprises that have already integrated Findings findings demonstrate relative advantages (RAs), compatibility, trialability and observability a significant positive effect adoption, while complexity harms adoption. Above all, has significantly enhanced Blockchain, thus effectively improving SCE. Practical implications outcomes furnish organizations with valuable insights proficiently integrate Blockchain capability, optimize management bolster market competitiveness. Also, help accelerate successful integration business processes attain Sustainability Development Goals 9, industrial growth diversification. Originality/value To extent author’s knowledge, current status remains largely exploratory, there limited empirical evidence integrating capability GAI. This bridges knowledge gap by fully revealing optimal these two transformative technologies leverage their potential in management.

Language: Английский

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The Factors Affecting Students’ Behavioral Intentions to Use E-learning for Educational Purposes: A Study of Physical Education Students in China

SAGE Open, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 1, 2025

E-learning has revolutionized the educational landscape, changing how knowledge is imparted to students and enhancing learning process. Despite growing popularity of e-learning worldwide, a lingering question remains regarding behavioral intentions Physical Education toward its use. This study endeavors address this issue by utilizing structural equation model (SEM) explore factors mechanisms influencing adoption among students. The collected data from 504 enrolled in system at universities China. results reveal that attitudes (β = .37), subjective norms .29), facilitating conditions .45) significantly influence students’ intention use e-learning. Interestingly, expected association between perceived usefulness −.11) was nonsignificant. These findings highlight importance improving technical organizational support, as well necessity for further empirical research on instructional strategies promote effective

Language: Английский

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Unveiling learners’ intentions toward influencer-led education: an integration of qualitative and quantitative analysis

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

Published: Jan. 31, 2025

Language: Английский

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Knowledge mapping and evolution of research on older adults’ technology acceptance: a bibliometric study from 2013 to 2023

Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)

Published: Aug. 31, 2024

The rapid expansion of information technology and the intensification population aging are two prominent features contemporary societal development. Investigating older adults' acceptance use is key to facilitating their integration into an information-driven society. Given this context, adults has emerged as a prioritized research topic, attracting widespread attention in academic community. However, existing remains fragmented lacks systematic framework. To address gap, we employed bibliometric methods, utilizing Web Science Core Collection conduct comprehensive review literature on from 2013 2023. Utilizing VOSviewer CiteSpace for data assessment visualization, created knowledge mappings acceptance. Our study multidimensional methods such co-occurrence analysis, clustering, burst analysis to: (1) reveal dynamics, journals, domains field; (2) identify leading countries, collaborative networks, core institutions authors; (3) recognize foundational system centered theoretical model deepening, emerging applications, evaluation, uncovering seminal observing shift early influential factor analyses empirical studies focusing individual factors technologies; (4) moreover, current hotspots primarily areas influencing adoption, human-robot interaction experiences, mobile health management, aging-in-place technology, highlighting evolutionary context quality distribution themes. Finally, recommend that future should deeply explore improvements models, long-term usage, user experience evaluation. Overall, presents clear framework field acceptance, providing important reference exploration innovative applications.

Language: Английский

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Factors Influencing Tibetan College Students’ Willingness to Communicate in Their Second Language in China: A Mixed Methods Study

International Journal of Applied Linguistics, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 7, 2025

ABSTRACT In the context of globalization, Tibetan students’ second language (L2) communication skills are crucial to allow effective intercultural and personal development. To better understand promote willingness university students communicate in their L2, this study adapts theory planned behavior (TPB) by introducing concept “language growth mindset (LGM)” replace original model's “Attitude (ATT)” component conjunction with L2 motivational self system (L2MSS). This mixed methods utilized structural equation modelling (SEM) for quantitative analysis NVivo open coding qualitative interview data. The participants were 409 from four universities China. Data collected using questionnaires in‐depth interviews. SEM model validated applicability TPB L2MSS explaining an (L2WTC). findings indicate that (a) a comprehensive based on can explain 52.9% variance L2WTC; (b) LGM, Ideal Self (IS), Ought‐to (OS) positively influence (c) perceived behavioral control (PBC) impacts while subjective norms (SN) do not affect LGM; (d) LGM does mediate relationship between SN OS.

Language: Английский

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Modelling College Students' Acceptance to Use Generative Artificial Intelligence for Second Language Learning: A Theory of Planned Behaviour Perspective

European Journal of Education, Journal Year: 2025, Volume and Issue: 60(1)

Published: Jan. 17, 2025

ABSTRACT The benefits of Generative Artificial Intelligence (GenAI) in enhancing second language (L2) learning are well established. However, these advantages can only be realised if learners willing to adopt the technology. This study, grounded Theory Planned Behaviour (TPB), investigated factors influencing behavioural intention use GenAI among 337 Chinese college L2 using five validated scales. A Structural Equation Modelling (SEM) approach with Amos 24 yielded several key findings. Notably, demographic encompassing gender and age did not significantly affect TPB components. Subjective norm attitude were found have a positive significant impact on intention, while perceived control demonstrate effect. Furthermore, literacy emerged as predictor both directly indirectly through its influence attitude. Collectively, variables accounted for 51.6% variance intention. study also discusses theoretical pedagogical implications offers suggestions future research.

Language: Английский

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Chinese Checkers as a Strategic Thinking Development Tool in Asia-Pacific Political Science Education

F1000Research, Journal Year: 2025, Volume and Issue: 13, P. 812 - 812

Published: Jan. 20, 2025

Purpose This study evaluated the effectiveness of integrating Chinese checkers into Comparative Politics courses across Asia-Pacific universities during 2021-2022, examining its impact on students’ strategic thinking, negotiation skills, and academic performance. Methods The research employed paired independent-samples t-tests to assess outcomes among 93 students who played versus 86 control participants. Assessment metrics included thinking capabilities overall course Findings Students participated in demonstrated statistically significant improvements (p < 0.05) achieved higher scores (M = 4.38, SD 0.18) compared group 3.87, 0.13). Significance establishes as an effective pedagogical tool for developing undergraduate political science education. findings support incorporating game-based learning approaches enhance critical skills understanding politics.

Language: Английский

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Design and Psychometric Evaluation of the Artificial Intelligence Acceptance and Usage in Research Creativity Scale Among Faculty Members: Insights From the Network Analysis Perspective

European Journal of Education, Journal Year: 2025, Volume and Issue: 60(1)

Published: Jan. 27, 2025

ABSTRACT The acceptance of artificial intelligence (AI) in academic settings, particularly the context research creativity, is a growing area interest. This study aimed to design and validate AI Acceptance Research Creativity Scale (AIA&RCS) among faculty members. exploratory mixed‐method was conducted 720 A literature review participant interviews were qualitative phase generate develop items. In quantitative phase, face validity, content construct convergent validity reliability (internal consistency stability) used. Exploratory factor analysis (EFA) indicated 4‐factor model scale with ‘perceived usefulness effectiveness creativity’, ‘ethical issues research’, ‘trusted capabilities’ ‘willingness use AI’ accounting for 51.6% variance. arrangement verified by confirmatory (CFA), fit indices that at suitable levels. Then, network took into account four‐factor structure AIA&RCS further. Similarly, graph (EGA) configuration AIA&RCS. 25‐item well‐suited measuring innovation because its psychometrics.

Language: Английский

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