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dc.contributor.authorLuo, Kun
dc.contributor.authorZhang, Lei
dc.contributor.authorChen, Kaidi
dc.date.accessioned2025-11-19T13:39:13Z
dc.date.available2025-11-19T13:39:13Z
dc.date.issued2025-09-29
dc.identifier.citationLuo, K., Zhang, L., & Chen, K. (2025). Unveiling the personal resources influencing Chinese as a second language teachers’ technology acceptance: A focus on teachers’ cognitive flexibility, resilience, and self-efficacy. Porta Linguarum An International Journal of Foreign Language Teaching and Learning, (XIII), 339–357. https://doi.org/10.30827/portalin.viXIII.33537es_ES
dc.identifier.issn1697-7467
dc.identifier.issn2695-8244
dc.identifier.urihttps://hdl.handle.net/10481/108102
dc.description.abstractTechnology acceptance in language teaching is proven to be complex relying on multiple factors. Some of these factors are vital to educators’ technology acceptance like cognitive flexibility (CF), resilience, and self-efficacy. The data was collected from 415 Chinese as a second language (CSL) teachers. The collected data were analyzed and the results through running structural equation modeling (SEM) showed the strongest correlation existed between self-efficacy and technology acceptance, followed by flexibility and technology acceptance, while resilience showed the weakest correlation with technology acceptance. All three constructs were significant predictors of technology acceptance, jointly explaining 68.7% of its variance. Among these variables, self-efficacy was the best predictor, uniquely explaining 44.1% of the variation in technology acceptance. The second-best predictor of technology acceptance was cognitive flexibility, which could explain 12.7% of its variance while resilience could only explain 1.1% of it. Indeed, these internal sources notably enhanced the technology acceptance of CSL teachers. The research implications were thoroughly discussed.es_ES
dc.description.abstractEste estudio examinó el papel de la flexibilidad cognitiva (FC), la resiliencia y la autoeficacia en la predicción de la aceptación tecnológica entre 415 profesores de chino como segunda lengua (CSL). Utilizando modelos de ecuaciones estructurales (SEM), los resultados revelaron que la autoeficacia tuvo la correlación positiva más fuerte con la aceptación tecnológica, seguida de la flexibilidad cognitiva, mientras que la resiliencia mostró la correlación más débil. Los tres constructos fueron predictores significativos, destacando la autoeficacia como el mejor predictor, la flexibilidad cognitiva como el segundo y la resiliencia como el tercero. Estos hallazgos resaltan la influencia crítica de los recursos psicológicos internos en la adopción de tecnología por parte de los profesores de CSL.es_ES
dc.language.isoenges_ES
dc.publisherUniversidad de Granadaes_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectCognitive flexibilityes_ES
dc.subjectCSL teacherses_ES
dc.subjectResiliencees_ES
dc.subjectFlexibilidad cognitivaes_ES
dc.subjectProfesores de chino como segunda lenguaes_ES
dc.subjectResilienciaes_ES
dc.titleUnveiling the personal resources influencing Chinese as a second language teachers’ technology acceptance: A focus on teachers’ cognitive flexibility, resilience, and self-efficacyes_ES
dc.title.alternativeRevelando los recursos personales que influyen en la aceptación tecnológica de los profesores de chino como segunda lengua: Un enfoque en la flexibilidad cognitiva, la resiliencia y la autoeficacia de los docenteses_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doidoi.org/10.30827/portalin.viXIII.33537
dc.type.hasVersionVoRes_ES


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