AI-Enhanced Intercultural Teaching: Investigating Chinese EFL University Teachers’ Technology Readiness and Acceptance of Large Language Models DOI
Chengfei Li, Liting Lu

Lecture notes in computer science, Год журнала: 2025, Номер unknown, С. 123 - 134

Опубликована: Янв. 1, 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

38

What factors will affect the effectiveness of using ChatGPT to solve programming problems? A quasi-experimental study DOI Creative Commons
Yuhui Jing, Haoming Wang, Xiaojiao Chen

и другие.

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

Опубликована: Фев. 26, 2024

Abstract The emergence of ChatGPT has sparked new expectations for AI-empowered educational transformation. However, it remains unknown which factors affect its effectiveness in empowering learners to solve programming problems. Therefore, this study employed a quasi-experimental research design and used Python graphing education as an example investigate the influencing applying problem-solving. Findings: AI literacy significantly influences learners’ using problems, with awareness usage being key factors. knowledge base language affects Learners’ cognitive level their problem-solving, while intention does not have significant impact. use improves after application. Based on these findings, proposes that process Artificial Intelligence Generated Content (AIGC) products, focus should shift from cultivating literacy, laying foundation learning AIGC products. It is suggested mastering specific graph-based rules method Additionally, enhancing technology strengthen technological awareness, thereby creating practical pathways

Язык: Английский

Процитировано

24

Assessing the factors influencing the intention to use information and communication technology implementation and acceptance in China’s education sector DOI Creative Commons
Muhammad Farrukh Shahzad, Shuo Xu,

Rimsha Baheer

и другие.

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

Опубликована: Фев. 19, 2024

Abstract Information and communication technology (ICT) has become increasingly important worldwide in education. This study aims to recognize the factors that influence intention use information (ITUICT) its acceptance education sector China. A literature review was conducted ascertain potential such as perceived awareness, acquisition, trustworthiness, social influence, regulatory support could affect ITUICT. For results, a survey on sample of 381 university employees China using convenience sampling approach. The collected data were analyzed partial least squares-structural equation modeling (PLS-SEM). results show individual significantly impact Additionally, trustworthiness positively moderates relationship among support, Policymakers educators can findings this enhance adoption ICT China’s sector. suggest it is provide educational with training increase their technology. Furthermore, paper offers theoretical progression create supportive organizational culture necessary technological resources facilitate ICT.

Язык: Английский

Процитировано

20

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

6

Understanding the Continuance Intention of College Students toward New E-Learning Spaces Based on an Integrated Model of the TAM and TTF DOI
Chengliang Wang, Jian Dai, Keke Zhu

и другие.

International Journal of Human-Computer Interaction, Год журнала: 2023, Номер 40(24), С. 8419 - 8432

Опубликована: Дек. 14, 2023

The emergence of educational video platforms has led to microlearning resources becoming increasingly mainstream. These offer unique ecosystems and resource designs that better cater the needs learners. In this study, we examined technology acceptance model (TAM) task-technology fit (TTF) theory conducted an empirical analysis user satisfaction with new online learning spaces. We learned perceived usefulness, ease use, had significantly impacted satisfaction, these three factors collectively contributing 78.2% variance in satisfaction. Additionally, influenced continuance intentions users toward using spaces, both 66.7% intention. Overall, our findings revealed future development spaces should consider task requirements learners improve accordingly.

Язык: Английский

Процитировано

33

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

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

12

Harmonizing Pedagogy and Technology: Insights into Teaching Approaches That Foster Sustainable Motivation and Efficiency in Blended Learning DOI Open Access
Marko Radovan, Danijela Makovec

Sustainability, Год журнала: 2024, Номер 16(7), С. 2704 - 2704

Опубликована: Март 25, 2024

This study aims to investigate the impact of blended learning strategies on various student outcomes in Vocational Education and Training (VET) contexts, addressing gaps existing literature informing refinement approaches enhance educational experiences. The main goal was explore teaching used attitudes, satisfaction, motivation, workload VET students. Data were collected from 106 students across seven programs through an online survey. findings reveal that collaborative significantly enhances engagement while integration technology environments improves However, challenges such as perceived overload are acknowledged. also highlights critical role assessment feedback fostering satisfaction competence. Based these results, recommends enhancing strategic support for diversity optimizing mechanisms improve reduce stress. These recommendations aim refine VET, contributing better identified literature.

Язык: Английский

Процитировано

11

A bibliometric analysis of studies on technology‐supported learning environments: Hot topics and frontier evolution DOI
Yuhui Jing, Chengliang Wang,

Zhaoyi Chen

и другие.

Journal of Computer Assisted Learning, Год журнала: 2024, Номер 40(3), С. 1185 - 1200

Опубликована: Янв. 22, 2024

Abstract Background Study Technology‐supported learning environments, act as significant observational and enabling indicators for evaluating encouraging the digital revolution of education, are vital importance in current educational research. Keeping track dynamics technology‐supported environment research allows enrichment theoretical studies a prompt innovation talent‐training environments. Objectives The present study carried out bibliometric analysis core collection WoS database over last two decades. Method This is We applied CiteSpace VOSviewer co‐occurrence evolution analysis. In addition, we extracted fundamental ideas thoughts through reading Results First, found that growth phase, with journals such Interactive Learning Environments or Computers & Education. findings show team comprised scholars Hwang Gwo‐Jen, Lester James C. Wong Lung‐Hsiang. Key nations publishing strength from China, United States, Kingdom Netherlands. Second, hot topics on environments were virtual technology‐enabled interactive Nine specifics derived these three moulding function, generating scenario, stimulating sensation, effect verification, design idea, reflection, inquiry research, community, mixed environment. Lastly, frontier offers pattern development enhancing performance to changing mode incorporating experience. Conclusion Looking ahead, our recommendations field include multifaceted approach. should aim enhance designs methodologies, develop contemporary guiding theories strive balanced representation across various domains, expanding scope encompass all academic disciplines. terms practical application, it imperative focus implementation critical perspectives: “change‐demand,” “student‐learning” “online‐offline.” These approaches will collectively ensure both innovative responsive diverse needs landscape.

Язык: Английский

Процитировано

10

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