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

European Journal of Education, Год журнала: 2025, Номер 60(1)

Опубликована: Янв. 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.

Язык: Английский

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What drives Chinese university students’ long-term use of GenAI? Evidence from the heuristic-systematic model

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

Опубликована: Фев. 4, 2025

Язык: Английский

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Examining generative AI user continuance intention based on the SOR model

Aslib Journal of Information Management, Год журнала: 2025, Номер unknown

Опубликована: Фев. 5, 2025

Purpose The purpose of this research is to examine generative artificial intelligence (AI) user continuance intention based on the stimulus-organism-response model. Design/methodology/approach We adopted a mixed method structural equation modeling and fuzzy-set qualitative comparative analysis conduct data analysis. Findings results found that AI content quality (perceived personalization, perceived accuracy credibility) system interactivity, anthropomorphism intelligence) affect sense empowerment satisfaction, both which further determine intention. Originality/value Extant has identified effect flow, trust parasocial interaction continuance, but it seldom disclosed internal decisional process This tries fill gap, enrich extant continuance.

Язык: Английский

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Learning and Teaching in the Era of Generative Artificial Intelligence Technologies: An In‐Depth Exploration Using Multi‐Analytical SEM‐ANN Approach

European Journal of Education, Год журнала: 2025, Номер 60(1)

Опубликована: Фев. 18, 2025

ABSTRACT The arrival of generative artificial intelligence (GAI) technologies marks a significant transformation in the educational landscape, with implications for teaching and learning performance. These can generate content, simulate interactions, adapt to learners' needs, offering opportunities interactive experiences. In China's education sector, incorporating GAI address challenges, enhance practices, improve This study scrutinises impact on performance focusing mediating roles e‐learning competence (EC), desire (DL), beliefs about future (BF), as well moderating role facilitating conditions amongst Chinese educators. Data was collected from 411 teachers across various institutions China using purposive sampling. PLS‐SEM ANN were employed assess suggested structural model. results indicate that significantly influence by EC, DL, BF roles. Furthermore, positively moderate association BF. underscores critical self‐determination theory shaping effective incorporation education, valuable insights outcomes sector.

Язык: Английский

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Dataset of Harvard Step Test Results for Assessing Cardiovascular Fitness in Female Cricketers in Bangladesh

Data in Brief, Год журнала: 2025, Номер 60, С. 111449 - 111449

Опубликована: Март 6, 2025

The dataset consists of results the Harvard Step Test conducted on female cricketers participating in Bangladesh National Women's Cricket League 2021-22, which is major competition level for women Bangladesh. data was collected by eight coaches representing divisions year 2022. set contains demographic information: age, height, weight, BMI; years playing experience; resting heart rates; pulse recovery rates at specified intervals after test (1.5 minutes, 2.5 3.5 minutes); and fitness scores computed using a standard formula. Data through controlled experimental design to ensure uniformity administering tests. Participants went under supervised conditions order determine cardiovascular endurance. large, robust, organized be useful analyses studies area fitness, athletic performance, or long-term athlete health. It can also used designing training programs, understanding profiles, setting standards athletes. would importance scholars sports sciences, public health, exercise physiology because it fills some gaps available athletes from South Asia.

Язык: Английский

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Multi-Level Determinants of Sustainable Blockchain Technology Adoption in SCM: Individual, Organisational, and Societal Perspectives

Sustainability, Год журнала: 2025, Номер 17(6), С. 2621 - 2621

Опубликована: Март 16, 2025

This study examines how individual, organisational, and societal factors influence blockchain technology (BCT) adoption in supply chain management (SCM). Using Partial Least Squares Artificial Neural Networks (PLS-ANNs) Necessary Condition Analysis (NCA), it identifies key determinants of sustainable BCT among small- medium-sized enterprises (SMEs). The results show that compatibility, top support, relative advantage are critical for adoption. focuses on SMEs, further research is needed to assess whether these findings apply larger organisations. Insights from this provide a foundation improving high-impact sectors inform strategic practices. By analysing multi-level factors, the enhances understanding guides policy development equitable innovations. Additionally, refine existing models by introducing validating new determinants, contributing both theory practice SCM. comprehensive approach bridges gaps offers actionable insights adoption, supporting broader economic social benefits.

Язык: Английский

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Investigating continuous intention to use metaverse in higher education institutions: a dual-staged structural equation modeling-artificial neural network approach

Smart Learning Environments, Год журнала: 2025, Номер 12(1)

Опубликована: Янв. 13, 2025

Abstract The current study explores metaverse adoption among higher education institutions (HEIs) in the light of a theoretical framework to empower future perspectives as learning platform. Even though this technology was just recently introduced sector, very few attempts have been made evaluate its impact. purpose research is analyze elements that influence continuous intention (CI) utilize learning. acceptance model (TAM) and self-determination theory (SDT) are both included study. A questionnaire developed distributed students attending private universities order obtain data needed for proposed model. Using hybrid approach consists partial least squares structural equation modeling (PLS-SEM) an artificial neural network (ANN) model, which combines linear PLS with compensation nonlinear ANN without compensation, effect CI on using platform investigated. This chosen because it contains these types models. When comes explaining use Egypt, findings suggested autonomy perceived usefulness (PU) major determinants. Nevertheless, continuing unaffected by ease (PEOU) product. Furthermore, according provided most significant predictors relatedness, PEOU, autonomy, PU. It has determined results obtained from PLS-SEM modes identical. Additionally, practical implications discussed article.

Язык: Английский

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Understanding Students' Intentions to Use AI for English Language Learning

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 157 - 178

Опубликована: Март 14, 2025

The integration of artificial intelligence (AI) in language education is gaining traction, yet students' adoption intentions remain underexplored. This study examines the factors influencing Algerian university to use AI for English learning. A convenience sample 145 students participated, and multiple linear regression analysis was conducted test four hypotheses. Findings reveal that perceived ease use, usefulness, attitudes toward AI, support all significantly positively influence adopt These results suggest user-friendly tools, clear benefits, positive attitudes, institutional or peer can enhance educational settings. contributes understanding acceptance learning provides insights educators developers aiming integrate effectively into education.

Язык: Английский

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Generative AI-Based Platform for Deliberate Teaching Practice: A Review and a Suggested Framework

Education Sciences, Год журнала: 2025, Номер 15(4), С. 405 - 405

Опубликована: Март 24, 2025

This paper begins with a comprehensive review of the deliberate teaching practice literature related to generative AI training platforms. It then introduces conceptual framework for AI-powered system designed simulate dynamic classroom environments, allowing teachers engage in repeated, goal-oriented sessions. Leveraging recent advances large language models (LLMs) and multiagent systems, platform features virtual student agents configured demonstrate varied learning styles, prior knowledge, behavioral traits. In parallel, mentor agents—built upon same technology—continuously provide feedback, enabling adapt their strategies real time. By offering an accessible, controlled space skill development, this addresses challenge scaling personalizing teacher training. Grounded pedagogical theory supported by emerging capabilities, proposed enables educators refine methods diverse contexts through iterative practice. A detailed outline system’s main components, including agent configuration, interaction workflows, feedback loop, sets stage more personalized, high-quality experiences, contributes evolving field AI-mediated environments.

Язык: Английский

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A Multi-Level Analysis of Blockchain Adoption in Smes: Insights from Scm Using Pls-Ann and Nca

Опубликована: Янв. 1, 2024

Язык: Английский

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