Assessment as learning: Evidence based on meta-analysis and quantitative ethnography research DOI
Yingchun Liu, Guangqiang Xu, Shuo Yuan

и другие.

Studies In Educational Evaluation, Год журнала: 2024, Номер 83, С. 101423 - 101423

Опубликована: Ноя. 18, 2024

Язык: Английский

Education reform and change driven by digital technology: a bibliometric study from a global perspective DOI Creative Commons
Chengliang Wang, Xiaojiao Chen, Teng Yu

и другие.

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

Опубликована: Фев. 12, 2024

Abstract Amidst the global digital transformation of educational institutions, technology has emerged as a significant area interest among scholars. Such technologies have played an instrumental role in enhancing learner performance and improving effectiveness teaching learning. These also ensure sustainability stability education during epidemic. Despite this, dearth systematic reviews exists regarding current state application education. To address this gap, study utilized Web Science Core Collection data source (specifically selecting high-quality SSCI SCIE) implemented topic search by setting keywords, yielding 1849 initial publications. Furthermore, following PRISMA guidelines, we refined selection to 588 articles. Using software tools such CiteSpace, VOSviewer, Charticulator, reviewed these publications identify core authors (such Selwyn, Henderson, Edwards), highly productive countries/regions (England, Australia, USA), key institutions (Monash University, Australian Catholic University), crucial journals field ( Education Information Technologies , Computers & British Journal Educational Technology ). Evolutionary analysis reveals four developmental periods research application: embryonic period, preliminary development exploration, acceleration period change. The highlights dual influence technological factors historical context on topic. is factor enabling transform upgrade, times important driving force promoting adoption new system upgrading Additionally, identifies three frontier hotspots field: physical education, transformation, professional under promotion technology. This presents clear framework for which can serve valuable reference researchers practitioners concerned with theory practice.

Язык: Английский

Процитировано

59

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

37

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

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

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

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

Digital art exhibitions and psychological well-being in Chinese Generation Z: An analysis based on the S-O-R framework DOI Creative Commons
Yanqing Xia,

Yili Deng,

Xuanyu Tao

и другие.

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

Опубликована: Фев. 13, 2024

Abstract In the post-pandemic era, there has been a heightened global focus on mental health challenges facing individuals, with particular emphasis innovative and effective therapeutic approaches. Despite extensive body of research within realm art therapy addressing individual psychological healing, potential digital mediums in this field largely overlooked. This gap is especially pronounced studies targeting unique demographic Generation Z, known as ‘digital natives.’ study aims to investigate role engagement online exhibitions restorative intervention for enhancing well-being Z users. Grounded Stimulus-Organism-Response (S-O-R) framework theory environments, examines responses participants exhibitions, particularly from perspective website aesthetics. The impact these users’ place attachment loyalty behaviors also explored. Utilizing structural equation modeling approach, an exhibition was deployed ZEPETO app, platform popular among Chinese Participants were subsequently invited partake survey post-exhibition, yielding dataset 332 valid responses. findings reveal that: (1) four design elements aesthetics (coherence, novelty, interactivity, immersion) significantly influence perceived restoration users, immersion being most influential factor; (2) are crucial predictors behavior; (3) positive users towards exhibitions. demonstrates that can facilitate emotional healing journey contributing alleviation stress promotion well-being. Moreover, technology have transcend human creativity imagination, offering promising pathway future practices related healing.

Язык: Английский

Процитировано

8

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

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