Uso y aceptación de la evaluación automática: estudio de traducción y confiabilidad de un instrumento para medirla
DOI:
https://doi.org/10.33010/ie_rie_rediech.v15i0.1923Palabras clave:
Influencia de la tecnología, estudiantes universitarios, pruebas asistidas por computadora, actitudes de los estudiantes, automatizaciónResumen
El rápido desarrollo de las tecnologías de la información y la comunicación –TIC– ha abierto nuevas posibilidades para las prácticas de enseñanza y evaluación en la educación superior. Este estudio cuantitativo, de diseño cuasiexperimental, examina la confiabilidad de la versión en español de una escala para evaluar la aceptación de la evaluación basada en computadora –Computer Based Assessment, CBA– entre estudiantes universitarios. Para llevar a cabo la investigación se utilizaron herramientas de análisis descriptivo, como el coeficiente alfa de Cronbach, para evaluar la confiabilidad del Modelo de aceptación de evaluación basada en computadora –Computer Based Assessment Acceptance Model, CBAAM– en una universidad privada de México. La investigación se dividió en dos fases: 1) aplicación de una evaluación con preguntas de respuesta corta evaluadas automáticamente, y 2) análisis de la confiabilidad de la versión final del CBAAM con 84 estudiantes de primer semestre de ingeniería. El CBAAM mostró un coeficiente de consistencia interna alto y estadísticamente significativo (a de Cronbach = 0.9190). Los coeficientes de consistencia interna de las subescalas variaron entre 0.6838 y 0.9325, lo que sugiere que la escala es confiable para su uso en este contexto. Se recomienda aplicar el CBAAM en otros contextos para mayor confirmación.
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Alexiou-Ray, J., y Bentley, C. C. (2015). Faculty professional development for quality online teaching. Online Journal of Distance Learning Administration, 18(4), 1-7. https://ojdla.com/archive/winter184/ray_bentley184.pdf
Al-Qdah, M., y Ababneh, I. (2017). Comparing online and paper exams: Performances and perceptions of Saudi students. International Journal of Information and Education Technology, 7(2), 106-109. https://doi.org/10.18178/ijiet.2017.7.2.850
Alruwais, N., Wills, G., y Wald, M. (2018). Advantages and challenges of using e-assessment. International Journal of Information and Education Technology, 8(1), 34-37. https://doi.org/10.18178/ijiet.2018.8.1.1008
Bralić, A., y Divjak, B. (2018). Integrating MOOCs in traditionally taught courses: Achieving learning outcomes with blended learning. International Journal of Educational Technology in Higher Education, 15(1). https://doi.org/10.1186/s41239-017-0085-7
Bukie, O. F. (2014). Understanding technologies for e-Assessment: A systematic review approach. Journal of Emerging Trends in Computing and Information Sciences, 5(12). http://www.cisjournal.org
Burrows, S., Gurevych, I., y Stein, B. (2015). The eras and trends of automatic short answer grading. International Journal of Artificial Intelligence in Education, 25, 60-117. https://doi.org/10.1007/s40593-014-0026-8
Casanova, M. A. (2020). Evaluación formativa e inclusiva en línea: ¿Cómo evaluar el aprendizaje ante los retos de la pandemia por el Covid 19? . Memorias del Quinto Congreso Internacional de Evaluación Socioformativa (Valora-2020). Centro Universitario CIFE, Cuernavaca, México. https://cife.edu.mx/recursos
Chau, K. Y., Law, K. M., y Tang, Y. M. (2021). Impact of self-directed learning and educational technology readiness on synchronous e-Learning. Journal of Organizational and End User Computing (JOEUC), 33(6), 1-20. https://doi.org/10.4018/JOEUC.20211101.oa26
Curran, P. J., West, S. G., y Finch, J. F. (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychological Methods, 1(1), 16-29. https://doi.org/10.1037/1082-989X.1.1.16
Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3),319-340. https://doi.org/10.2307/249008
Davis, F. D. (2011). Foreword in technology acceptance in education: Research and issues. Sense Publishers.
Davis, F. D., Bagozzi, R. P., y Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003. https://doi.org/10.1287/mnsc.35.8.982
Davis, M. M., Spohrer, J. C., y Maglio, P. P. (2011). Guest editorial: How technology is changing the design and delivery of services. Operations Management Research, 4, 1-5. https://doi.org/10.1007/s12063-011-0046-6
De la Oliva, D. (2020). La autoevaluación en las escuelas de educación primaria para la mejora de la calidad educativa y de la inclusión social. Memorias del Quinto Congreso Internacional de Evaluación Socioformativa (Valora-2020). https://cife.edu.mx/recursos/
Gañán, D., Caballé, S., Clarisó, R., Conesa, J., y Bañeres, D. (2017). ICT-FLAG: A web-based e-assessment platform featuring learning analytics and gamification. International Journal of Web Information Systems, 13(1), 25-54. https://doi.org/10.1108/IJWIS-12-2016-0074
Granic, A., y Marangunic, N. (2019). Technology acceptance model in educational context: A systematic literature review. British Journal of Educational Technology, 50(5), 2572-2593. https://doi.org/10.1111/bjet.12864
Hestenes, D., Wells, M., y Swackhamer, G. (1992). Force concept inventory. The Physics Teacher, 30(3), 141-158. https://doi.org/10.1119/1.2343497
Imtiaz, A., y Maarop, N. (2014). A review of technology acceptance studies in the field of education. Jurnal Teknologi, 69(2), 2180-3722. https://doi.org/doi:10.11113/jt.v69.3101
Jeong, H. (2011). An investigation of user perceptions and behavioral intentions towards the e-library. Library Collections, Acquisitions, and Technical Services, 35(2-3), 45-60. https://doi.org/10.1080/14649055.2011.10766298
JISC [Joint Information Systems Committee] (2007). Effective practice with e-assessment: An overview of technologies, policies and practice in further and higher education. https://people.cs.vt.edu/shaffer/cs6604/Papers/eAssessment.pdf
Joo, S., y Choi, N. (2015). Factors affecting undergraduates’ selection of online library resources in academic tasks usefulness, ease-of-use, resource quality, and individual differences. Library Hi Tech, 33(2), 272-291. https://doi.org/10.1108/LHT-01-2015-0008
Jordan, S. (2013). E-assessment: Past, present and future. New Directions, 9(1), 87-106. https://oro.open.ac.uk/38536/
Jordan, S., y Mitchell, T. (2009). e-Assessment for learning? The potential of short-answer free-text questions with tailored feedback. British Journal of Educational Technology, 40(2), 371-385. https://doi.org/10.1111/j.1467-8535.2008.00928.x
Kundu, A., y Bej, T. (2021). Experiencing e-assessment during COVID-19: an analysis of Indian students’ perception. Higher Education Evaluation and Development, 15(2), 114-134. https://doi.org/10.1108/heed-03-2021-0032
Llamas-Nistal, M., Fernández-Iglesias, M. J., González-Tato, J., y Mikic-Fonte, F. A. (2013). Blended e-assessment: Migrating classical exams to the digital world. Computers & Education, 62, 72-87. https://doi.org/10.1016/j.compedu.2012.10.021
Mac Callum, K., Jeffrey, L., y Kinshuk (2014). Comparing the role of ICT literacy and anxiety in the adoption of mobile learning. Computers in Human Behavior, 39, 8-19. https://doi.org/10.1016/j.chb.2014.05.024
Madrid, G., Angulo, J., García, L., y Olivares, C. (2016). Estado del conocimiento en la educación mediada por TIC en México. CIATA.
Marangunic, N., y Granic, A. (2015). Technology acceptance model: A literature review from 1986 to 2013. Universal Access in the Information Society, 14, 81-95. https://doi.org/10.1007/s10209-014-0348-1
Miller, A. (2020, abr. 7). Formative assessment in distance learning. Edutopia. https://www.edutopia.org/article/formative-assessment-distance-learning
Mo, D. Y., Tang, Y. M., Wu, E. Y., y Tang, V. (2022). Theoretical model of investigating determinants for a successful Electronic Assessment System (EAS) in higher education. Education and Information Technologies, 27(9), 12543-12566. https://doi.org/10.1007/s10639-022-11098-1
Mohammadyari, S., y Singh, H. (2015). Understanding the effect of e-learning on individual performance: The role of digital literacy. Computers & Education, 82, 11-25. https://doi.org/10.1016/j.compedu.2014.10.025
Muñiz, J., Elosua, P., y Hambleton, R. K. (2013). Directrices para la traducción y adaptación de los tests: segunda edición. Psicothema, 25(2), 151-157. https://doi.org/10.7334/psicothema2013.24
Ngai, E. W., Poon, J. K. L., y Chan, Y. H. (2007). Empirical examination of the adoption of WebCT using TAM. Computers & Education, 48(2), 250-267. https://doi.org/10.1016/j.compedu.2004.11.007
Nikou, S. A., y Economides, A. A. (2017). Mobile-based assessment: Investigating the factors that influence behavioral intention to use. Computers & Education, 109, 56-73. https://doi.org/10.1016/j.compedu.2017.02.005
Olivares, K., Angulo, A., Torres, G., y Madrid, G. (2016). Validación de un modelo de medida para la competencia digital en estudiantes universitarios. En M. E. Prieto y S. J. Pech (eds.), La tecnología como instrumento para potenciar el aprendizaje (pp. 72-78). CIATA-UCLM. https://doi.org/10.13140/RG.2.1.3802.3920
Scherer, R., Siddiq, F., y Tondeur, J. (2019). The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education. Computers & Education, 128, 13-35. https://doi.org/10.1016/j.compedu.2018.09.009
Sousa, V. D., y Rojjanasrirat, W. (2011). Translation, adaptation and validation of instruments or scales for use in cross-cultural health care research: A clear and user-friendly guideline. Journal of Evaluation in Clinical Practice, 17(2), 268-274. https://doi.org/10.1111/j.1365-2753.2010.01434.x
Tang, Y. M., Au, K. M., Lau, H. C. W., Ho, G. T. S., y Wu, C. H. (2020). Evaluating the effectiveness of learning design with mixed reality (MR) in higher education. Virtual Reality, 24(4), 797-807. https://doi.org/10.1007/s10055-020-00427-9
Tang, Y. M., Chen, P. C., Law, K. M. Y., Wu, C. H., Lau, Y.-y., Guan, J., He, D., y Ho, G. T. S. (2021). Comparative analysis of Student’s live online learning readiness during the coronavirus (COVID-19) pandemic in the higher education sector. Computers & Education, 168, 104211. https://doi.org/10.1016/j.compedu.2021.104211
Tang, Y. M., y Yu, K. M. (2018). Development and evaluation of a mobile platform for teaching mathematics of CAD subjects. Computer-Aided Design and Applications, 15(2), 164-169. https://doi.org/10.1080/16864360.2017.1375665
Terzis, V., y Economides, A. A. (2011). The acceptance and use of computer based assessment. Computers & Education, 56(4), 1032-1044. https://doi.org/10.1016/j.compedu.2010.11.017
Terzis, V., Moridis, C. N., y Economides, A. A. (2012a). How student’s personality traits affect Computer Based Assessment Acceptance: Integrating BFI with CBAAM. Computers in Human Behavior, 28(5), 1985-1996. https://doi.org/10.1016/j.chb.2012.05.019
Terzis, V., Moridis, C. N., y Economides, A. A. (2012b). The effect of emotional feedback on behavioral intention to use computer based assessment. Computers & Education, 59(2), 710-721. https://doi.org/10.1016/j.compedu.2012.03.003
Terzis, V., Moridis, C. N., y Economides, A. A. (2013). Continuance acceptance of computer based assessment through the integration of user’s expectations and perceptions. Computers & Education, 62, 50-61. https://doi.org/10.1016/j.compedu.2012.10.018
Timmis, S., Broadfoot, P., Sutherland, R., y Oldfield, A. (2016). Rethinking assessment in a digital age: Opportunities, challenges and risks. British Educational Research Journal, 42(3), 454-476. https://doi.org/10.1002/berj.3215
Tirado-Lara, P. J., y Roque-Hernández, M. del P. (2022). Validación de la escala Uso y función de las TIC en contextos educativos para estudiantes de educación superior. Relatec Revista Latinoamericana de Tecnología Educativa, 21(1), 9-25. https://doi.org/10.17398/1695-288X.21.1.9
Venkatesh, V., Morris, M. G., Davis, G. B., y Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540
Viramontes Anaya, E., y Viramontes Campos, O. (2021). Evaluación en educación a distancia por confinamiento. IE Revista de Investigación Educativa de la REDIECH, 12, e1216. https://doi.org/10.33010/ie_rie_rediech.v12i0.1216
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Derechos de autor 2024 Julián Gerardo Torres Kauffman, Iván Olmos Pineda, Juan Manuel González Calleros
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