Extended TAM based acceptance of AI-Powered ChatGPT for supporting metacognitive self-regulated learning in education: A mixed-methods study

Heliyon, Journal Year: 2024, Volume and Issue: 10(8), P. e29317 - e29317

Published: April 1, 2024

This mixed-method study explores the acceptance of ChatGPT as a tool for Metacognitive Self-Regulated Learning (MSRL) among academics. Despite growing attention towards metacognitive learning tool, there is need comprehensive understanding factors influencing its in academic settings. Engaging 300 preservice teachers through ChatGPT-based scenario activity and utilizing convenience sampling, this administered questionnaire based on proposed Technology Acceptance Model at UTM University's School Education. Structural equation modelling was applied to analyze participants' perspectives ChatGPT, considering like MSRL's impact usage intention. Post-reflection sessions, semi-structured interviews, record analysis were conducted gather results. Findings indicate high significantly influenced by personal competency, social influence, perceived AI usefulness, enjoyment, trust, intelligence, positive attitude, self-regulated learning. Interviews suggest that academics view positively an educational seeing it solution challenges teaching processes. The highlights ChatGPT's potential enhance MSRL holds implications teacher education integration

Language: Английский

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Motivación al logro y autoeficacia académica en universitarios de Administración y Negocios

European Public & Social Innovation Review, Journal Year: 2025, Volume and Issue: 10, P. 1 - 17

Published: Feb. 6, 2025

Introducción: En un país en vías de desarrollo, el estudio del impulso por alcanzar las metas académicas trazadas y su vínculo con la percepción sobre habilidades ámbito académico resulta ser factor relevante para comprender compleja realidad educativa; ello, principal objetivo investigación fue determinar relación entre motivación al logro autoeficacia académica estudiantes carreras administración negocios. Metodología: Este trabajo se desarrolló bajo enfoque cuantitativo, alcance correlacional diseño no experimental transversal; muestra estuvo conformada 285 Administración Negocios ciudad Lima, Perú; recolección datos realizó una encuesta virtual. Resultados: La presenta positiva, grande significativa (r=0,578, p<0,01); mujeres, los jóvenes más edad, que estudian trabajan mismo tiempo presentan mayores puntajes ambas variables. Discusión: evidencia resultados importantes dos variables educativo psicológico; lo es recomendable continuar a nivel universitario. Conclusiones: relaciona positivamente peruanos.

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Dataset on Technology Acceptance in E-Learning: A PLS-SEM Analysis Using Extended TAM Among Undergraduate Students in Indonesia

Telematics and Informatics Reports, Journal Year: 2025, Volume and Issue: unknown, P. 100192 - 100192

Published: March 1, 2025

Language: Английский

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AI voice journaling for future language teachers: A path to well‐being through reflective practices

British Educational Research Journal, Journal Year: 2025, Volume and Issue: unknown

Published: April 7, 2025

Abstract This study aimed to explore the perceived impact of using an AI‐powered voice journaling app in overcoming challenges and stressors encountered by senior students enrolled teaching practicum at English Language Teaching Bachelor's programme. The main objective this is examine effect audio diary known as ‘Audio Diary’ on general well‐being prospective language teachers. employed a qualitative methodology focusing themes created extensive data provided pre‐service Through Audio Diary app, eight volunteer teachers documented their daily professional experiences, emotional states over period 4 weeks. We collected through order understand participants' reflections about experiences. Participant entries AI‐generated output were stored used for content analysis. Participants characterised helpful tool reflecting personal well‐being, according thematic analysis results. Furthermore, it made easier them communicate comprehend more deeply, gave insightful information own experiences throughout study. Additionally, app's AI‐categorised feedback assisted users recognising trends areas where methods needed be improved. It demonstrates, instance, how apps can promote reflective practice learning environments.

Language: Английский

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Factors influencing students' listening learning performance in mobile vocabulary‐assisted listening learning: An extended technology acceptance model

Journal of Computer Assisted Learning, Journal Year: 2024, Volume and Issue: 40(4), P. 1511 - 1525

Published: March 7, 2024

Abstract Background Behavioural intention (BI) has been predicted using other variables by adopting the technology acceptance model (TAM). However, few studies have examined whether BI can predict learning performance. Objectives The present study used an extended TAM to investigate students' is a predictor of their listening performance (LLP) through vocabulary (VLP) in context mobile vocabulary‐assisted two tools. Methods A total 129 college students with pre‐intermediate level English were recruited as participants, and 10‐week vocabulary‐assisted, listening‐learning course was conducted 2022. In each task this course, had learn target words from passage on Quizlet then engage activities Randall's ESL Cyber Listening Lab. Quantitative responses obtained online questionnaire analysed partial‐least‐squares structural equation modelling. Results analysis results indicated that significantly LLP VLP. Perceived ease use (PEU) perceived usefulness (PU) significant antecedents BI. PEU did not PU because difficulty navigating between technological tools study. demonstrated its effectiveness explaining performance, evidenced explained variance ( R 2 ) 69%. Conclusion validates influence it also draw teachers' focus toward significance enhancing improve Pedagogical implications based are provided paper.

Language: Английский

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The mediating effect of engagement in the relationship between self-efficacy and perceived learning in the online mathematics environment among Chinese students

Discover Sustainability, Journal Year: 2024, Volume and Issue: 5(1)

Published: Dec. 5, 2024

Perceived learning is seen as a key measure of actual and an essential element course assessment. This research investigated how engagement mediates the relationship between self-efficacy perceived in online mathematics courses. Using predictive correlational approach, study analyzed impact three aspects on link learning. A survey was conducted with randomly selected sample 605 students enrolled classes Guangzhou. Structural Equation Modeling (SEM) AMOS version 24.0 employed to test proposed model. The results from maximum likelihood estimation showed that measurement model for self-efficacy, engagement, fit well. findings revealed directly influences all setting. Additionally, there direct learning, dimensions partially mediating this connection. Overall, these underscore significance improving student enhance experiences outcomes.

Language: Английский

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Exploring the Impact of Digital Competence and Technology Acceptance on Academic Performance in Physical Education and Sports Science Students

Journal of Information Technology Education Research, Journal Year: 2024, Volume and Issue: 23, P. 019 - 019

Published: Jan. 1, 2024

Aim/Purpose: This study aims to examine the influence of digital competences, technology acceptance, and individual factors (gender educational level) on academic achievement in Physical Education Sports Science (PESS). Background: Prior research has established a positive correlation between competences performance, but mediating role acceptance remains unclear. Furthermore, there is no evidence literature about this relationship among students pursuing degrees PESS. Methodology: A survey was administered 344 The Students’ Digital Competence Scale (SDiCoS) measured while Technology Acceptance Model (TAM) assessed acceptance. Academic performance evaluated based students’ GPAs. Contribution: paper investigated competence within TAM framework its performance. We propose that variables positively impact intention use tools for learning. aligns with principles, where attitude toward predict actual use. Our findings further strengthen understanding by confirming strong connections perceived ease use, usefulness, technology. Additionally, suggests frequent device usage patterns might be more prevalent postgraduate education. Findings: investigation supports link PESS students. Specifically, variables, particularly attitudes intentions regarding significantly predicted these Interestingly, direct association found SDiCoS were associated Gender differences emerged, females reporting higher proficiency Communicate, Collaborate, Share (CCS) competences. reported stronger technology, utilization laptops/tablets. Recommendations Practitioners: Educators, administrators, policymakers should consider targeted interventions curriculum development enhance fields physical education sports science. strategies focus fostering areas relevant field addressing gender-specific needs. Recommendation Researchers: Future explore nuanced refining predictive efficacy examining factors, such as motivation self-efficacy. Impact Society: have implications improving outcomes PESS, ultimately contributing highly skilled technology-literate workforce field. Research: specific mechanisms through which develop effective strategies.

Language: Английский

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The mediating effect of engagement in the relationship between self-efficacy and perceived learning in the online mathematics environment among Chinese students

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 5, 2024

Perceived learning is considered an indicator of actual and a crucial component course evaluation. This study explored the mediating effect engagement on relationship between self-efficacy perceived in online mathematics environment. Using predictive correlational research methodology, examined how three elements influence learning. A randomly selected sample 605 students enrolled courses Guangzhou participated survey. Structural Equation Modelling (SEM) with AMOS version 24.0 was used to evaluate hypothesized model. The maximum likelihood estimation results indicated that measurement model for self-efficacy, engagement, had acceptable fit. findings demonstrated directly predicts all sub-constructs Furthermore, revealed direct learning, dimensions partially this link. Overall, intricate interplay these factors highlights importance enhancing student foster effective experiences outcomes.

Language: Английский

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“Just learn it?” How individual differences and HMSAM impact learners’ intention to engage in AI-related education

Education and Information Technologies, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 2, 2024

Language: Английский

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