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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Acceptance of or resistance to facial recognition payment: A systematic review

Journal of Consumer Behaviour, Journal Year: 2024, Volume and Issue: 23(6), P. 2933 - 2951

Published: Aug. 1, 2024

Abstract With increasing evidence supporting the use of biometric identification methods for authentication, this study aims to enhance our understanding factors influencing acceptance and resistance facial recognition payment (FRP) systems. To provide a comprehensive review these factors, we conducted systematic literature (SLR) empirical studies. We examined 22 key research articles from an initial pool 1372 publications, identifying 37 that influence consumer or FRP. These were categorized into usage‐related aspects, attitudes evaluations, user‐related traits, privacy security concerns, other factors. Our findings reveal most frequently cited include performance expectancy, effort perceived usefulness, ease use. are crucial in contexts where FRP can increase productivity by providing prompt information effective assistance. This proposes collective model determinants resistance, integrating theoretical frameworks findings. The emphasizes context‐dependency user acceptance, highlighting importance addressing both technological psychological It incorporates usage characteristics, which mediated evaluations. proposed provides framework FRP, guiding service providers developing strategies adoption, with future needed refine assess further.

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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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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Bibliometric Analysis of Natural Language Processing Technology in Education: Hot Topics, Frontier Evolution, and Future Prospects

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

Published: Jan. 1, 2025

The application of natural language processing (NLP) technology in the field education has attracted considerable attention. This study takes 716 articles from Web Science database 1998 to 2023 as its research sample. Using bibliometrics theoretical foundation, and employing methods such literature review knowledge mapping analysis, utilizes tools like CiteSpace generate relevant visualizations, analyzing key themes, frontier developments, providing future prospects this domain. main findings are follows: First, number publications been increasing annually, forming core publishing journals Education Information Technology, teams led by figures Cucchiarini Catia Meurers Detmar, countries including United States China. Second, primarily covers five major themes: educational technical tools, analysis development content, computational linguistics education, acquisition learning, assessment methods. Third, exhibits certain developmental phases, progressing through stages emergence, exploration, development. Based on these findings, following proposed: at level, deeper personalized learning paths, emotional monitoring support, intelligent generation optimization content; practical interdisciplinary collaboration innovation, data mining global perspectives with international cooperation.

Language: Английский

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The Effect of Generative AI Ethics on Users’ Continuous Usage Intentions: A PLS-SEM and fsQCA Approach

International Journal of Human-Computer Interaction, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 12

Published: Feb. 24, 2025

Language: Английский

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Advancement in Microbiology Education: An Innovative Approach of Integrating Three-dimensional Holography Imaging Technology with Scanning Electron Microscopy

Nigerian Postgraduate Medical Journal, Journal Year: 2025, Volume and Issue: 32(1), P. 79 - 80

Published: Jan. 1, 2025

Language: Английский

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How does technology-based embodied learning affect learning effectiveness? – Based on a systematic literature review and meta-analytic approach

Interactive Learning Environments, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 24

Published: April 3, 2025

Language: Английский

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Unveiling the Complexity of Designers’ Intention to Use Generative AI in Corporate Product Design: A Grounded Theory and fsQCA

Systems, Journal Year: 2025, Volume and Issue: 13(4), P. 275 - 275

Published: April 9, 2025

While generative artificial intelligence (Gen AI) is accelerating digital transformation and innovation in corporate product design (CPD), limited research has explored how designers adopt this technology. This study aims to identify the key factors causal configurations that influence designers’ intentions Gen AI CPD. involved 327 in-service as participants, employed semi-structured interviews a questionnaire collect data, applied grounded theory fsQCA analyze data. The findings indicate following: (1) Personal innovativeness, technological anxiety, perceived usefulness, task–technology fit, risk, social influence, organizational support are influencing adoption of AI. (2) None these constitute necessary condition for (3) High intention results from interaction multiple factors, which can be categorized into three driving logics: “task demand-driven”, “organizational environment-driven”, “individual characteristics-driven”. It recommended managers establish an training framework, foster supportive environment, implement tailored strategies facilitate integration new technologies. clarifies CPD provides framework companies effectively integrate systems design.

Language: Английский

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Exploring the determinants on continuance participation of college students toward blended learning: the stimulating role of course characteristics and instructor support

Frontiers in Psychology, Journal Year: 2025, Volume and Issue: 16

Published: April 11, 2025

Background Blended learning (BL) has become an important method in the high education with rapid advancement of “Internet + Education,” however, college students face notable challenges, such as dropout rates, low participation and persistence, which largely reduce effect BL. Therefore, it is necessary to deeply analyze question: “What factors will influence students’ continuance behavior blended (CBBL)?” Methods Based on stimulus-organism-response (SOR) framework social cognitive theory, this study constructs integrated model “ Contextual facilitators–Individual characteristics–Continuance ,” examine relationships among course characteristics (BCC), instructor support (IST), individual attributes, motivation (LM), self-efficacy (SEF) engagement (LET), CBBL. Colleting 466 College who participated BL through Chinese university MOOCs, structural equation modeling (SEM) approach was used test proposed hypotheses. Results The empirical results indicating that, (1) explains 62.85% variance CBBL, LM, SEF, LET emerge key determinants influencing (2) BCC positively affects LM but no significant promotes CBBL rather than SEF. (3) ITS exerts a LET, most pronounced impact LET. Moreover, significantly facilitates via Originality/value This theoretically contributes literature extends application scope SOR framework. Also, reveals antecedents environment, crucial for guiding their promoting sustainable development education.

Language: Английский

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