Impact of AI-agent-supported collaborative learning on the learning outcomes of University programming courses DOI
Haoming Wang, Chengliang Wang, Zhan Chen

и другие.

Education and Information Technologies, Год журнала: 2025, Номер unknown

Опубликована: Март 13, 2025

Язык: Английский

Factors Influencing University Students’ Behavioral Intention to Use Generative Artificial Intelligence: Integrating the Theory of Planned Behavior and AI Literacy DOI
Chengliang Wang, Haoming Wang, Yuanyuan Li

и другие.

International Journal of Human-Computer Interaction, Год журнала: 2024, Номер unknown, С. 1 - 23

Опубликована: Июль 29, 2024

Generative artificial intelligence (GAI) advancements have ignited new expectations for (AI)-enabled educational transformations. Based on the theory of planned behavior (TPB), this study combines structural equation modeling and interviews to analyze influencing factors Chinese university students' GAI technology usage intention. Regarding AI literacy, cognitive literacy in ethics scored highest (M = 5.740), while awareness lowest 4.578). Students' attitudes toward significantly positively influenced their intention, with combined TPB framework explaining 59.3% variance. subjective norms perceived behavioral control, attitude mediated impact Further, provide insights management leadership regarding construction an ecosystem under application technology.

Язык: Английский

Процитировано

36

A meta-analysis of learners’ continuance intention toward online education platforms DOI
Jian Dai,

X. Zhang,

Chengliang Wang

и другие.

Education and Information Technologies, Год журнала: 2024, Номер 29(16), С. 21833 - 21868

Опубликована: Май 4, 2024

Язык: Английский

Процитировано

15

Deconstructing University Learners' Adoption Intention Towards AIGC Technology: A Mixed‐Methods Study Using ChatGPT as an Example DOI Open Access
Chengliang Wang, Xiaojiao Chen, Zhebing Hu

и другие.

Journal of Computer Assisted Learning, Год журнала: 2025, Номер 41(1)

Опубликована: Янв. 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.

Язык: Английский

Процитировано

5

The impact of digital resource utilization on student learning outcomes and self-efficacy across different economic contexts: A comparative analysis of PISA, 2022 DOI
Dirgha Raj Joshi, Jeevan Khanal, Krishna Prasad Sharma Chapai

и другие.

International Journal of Educational Research Open, Год журнала: 2025, Номер 8, С. 100443 - 100443

Опубликована: Янв. 26, 2025

Язык: Английский

Процитировано

1

Acceptance of or resistance to facial recognition payment: A systematic review DOI Open Access
Teng Yu, Chengliang Wang,

晴子 渡辺

и другие.

Journal of Consumer Behaviour, Год журнала: 2024, Номер 23(6), С. 2933 - 2951

Опубликована: Авг. 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.

Язык: Английский

Процитировано

10

Factors influencing continuance intention in blended learning among business school students in China: based on grounded theory and FsQCA DOI
Teng Yu, Jian Dai, Xiaojiao Chen

и другие.

Interactive Learning Environments, Год журнала: 2024, Номер unknown, С. 1 - 28

Опубликована: Июль 8, 2024

This research study aims to explore the factors that influence continuance intention in Blended learning (BL) among business school students China. By employing a grounded theory approach and utilizing Fuzzy Set Qualitative Comparative Analysis (FsQCA) method, investigates complex interplay of various variables contribute students' continue participating BL programs. The includes comprehensive analysis such as self-efficacy, perceived usefulness, task-technology fit, social influence, satisfaction. findings provide valuable insights into drive BL, specifically within context Moreover, highlights non-linear relationships configurations these result high levels intention. results existing knowledge base inform educational institutions designing effective strategies enhance engagement promote long-term success initiatives.

Язык: Английский

Процитировано

9

Unveiling learners’ intentions toward influencer-led education: an integration of qualitative and quantitative analysis DOI
Xiaojiao Chen, Teng Yu, Jian Dai

и другие.

Interactive Learning Environments, Год журнала: 2025, Номер unknown, С. 1 - 19

Опубликована: Янв. 31, 2025

Язык: Английский

Процитировано

1

MetaClassroom: A New Paradigm and Experience for Programming Education DOI Creative Commons
Chengliang Wang, Xiaojiao Chen, Yifei Li

и другие.

Journal of Educational Computing Research, Год журнала: 2025, Номер unknown

Опубликована: Фев. 27, 2025

This study explored the impact of MetaClassroom, a virtual immersive programming learning environment designed based on three-dimensional progression (3DLP) concept, students’ multidimensional development. Utilizing quasi-experimental research design, this compared achievements (PLA), self-regulated (SRL) skills, beliefs, and motivation in MetaClassroom with those traditional classroom settings. The findings revealed that significantly enhanced PLA SRL particularly subdimensions including Metacognitive Skills, Persistence, Seeking Help. Additionally, positively impacted beliefs motivation, demonstrating its potential optimizing knowledge acquisition, application processes, fostering higher-order thinking skills. By integrating 3DLP concept into targeted environments, created an innovative ecosystem, bridged theory practice, offering students comprehensive engaging platform to develop both foundational practical not only validated effectiveness improving performance experience, but also introduced new paradigm integrated teaching, learning, assessment. offers insights directions for education broader educational practices, paving way future developments technology.

Язык: Английский

Процитировано

1

The development and evolution of the research topic on the mental health of college students: A bibliometric review based on CiteSpace and VOSviewer DOI Creative Commons

Jingying Chen,

Yidan Liu, Keke Zhu

и другие.

Heliyon, Год журнала: 2024, Номер 10(8), С. e29477 - e29477

Опубликована: Апрель 1, 2024

With the advances in society and response to changing times, college students have had face multiple challenges. These challenges frequently affect mental health of students, leading significant consequences for their social lives, personal well-being, academic achievements, thereby attracting extensive societal attention. Therefore, examining current status research topics related can assist academia dissecting influencing factors seeking solutions at source or through early intervention. This contribute a better understanding effectively address this challenge.

Язык: Английский

Процитировано

5

Knowledge mapping and evolution of research on older adults’ technology acceptance: a bibliometric study from 2013 to 2023 DOI Creative Commons
Xianru Shang, Zijian Liu, Chen Gong

и другие.

Humanities and Social Sciences Communications, Год журнала: 2024, Номер 11(1)

Опубликована: Авг. 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.

Язык: Английский

Процитировано

5