A digital world toolkit: enhancing teachers' metacognitive strategies for student digital literacy development
DOI:
https://doi.org/10.5944/ried.27.2.38798Palavras-chave:
self-regulated learning, metacognitive strategies, computer literacy, cognitive process, learning strategy, distance studyResumo
The exploration of the relationship between the use of metacognitive strategies and instructional improvement among teachers, with a particular focus on students' media literacy and information management forms the basis for this research study. The study involved 252 teachers enrolled in the master's programme in educational technology at an online university. To assess teaching styles and the integration of the Internet in the classroom, a quantitative methodology was used through the PISA 2018 questionnaire. The results indicate the reliability of the instrument in measuring digital literacy across the seven dimensions addressed. In addition, the Metadig tool is used to measure the metacognitive component in relation to media literacy. It is observed that its application stimulates the acquisition and development of each dimension analysed. Teachers who use metacognitive strategies and promote media literacy enhance the development of digital competence in the classroom. It therefore seems appropriate to integrate well-structured approaches to self-regulated learning through metacognition into teacher education. Metacognition supports effective organisation of learning, control of information and understanding of context, fostering autonomous learning. These efforts promote digital competences in the use of online resources, and ultimately enrich teaching methods and learning strategies.
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Referências
Area, M., & Pessoa, T. (2012). De lo sólido a lo líquido: Las nuevas alfabetizaciones ante los cambios culturales de la Web 2.0. Comunicar, 38, 13-20.
Arjaya, I. B. A., Hermawan, I. M. S., Ekayanti, N. W., & Paraniti, A. A. I. (2023). Metacognitive contribution to biology pre-service teacher’s digital literacy and self-regulated learning during online learning. International Journal of Instruction, 16(1). 455-468. https://doi.org/10.29333/iji.2023.16125a
Azevedo, R., & Witherspoon, A. M. (2009). Self-regulated learning with hypermedia. In D. J. Hacker, J. Dunlosky & A. C. Graesser (Eds.), Handbook of metacognition in education (pp. 278-298). Mahwah, Erlbaum.
Bannert, M., Hildebrand, M., & Mengelkamp, C. (2009). Effects of a metacognitive support device in learning environment. Computers in Human Behavior, 25(4), 829-835. https://doi.org/10.1016/j.chb.2008.07.002
Beetham, H., & Sharpe, R. (2013). Rethinking pedagogy for a digital age: Designing for 21st century learning. Routledge. https://doi.org/10.4324/9780203078952
Cabero-Almenara, J., & Palacios-Rodríguez, A. (2020). Marco Europeo de Competencia Digital Docente «DigCompEdu». Traducción y adaptación del cuestionario «DigCompEdu Check-In». EDMETIC, 9(1), 213-234. https://doi.org/10.21071/edmetic.v9i1.12462
Coll Salvador, C., Díaz Barriga Arcedo, F., Engel Rocamora, A., & Salina Ibáñez, J. (2023). Evidencias de aprendizaje en prácticas educativas mediadas por tecnologías digitales. RIED-Revista Iberoamericana de Educación a Distancia, 26(2), pp. 9-25. https://doi.org/10.5944/ried.26.2.37293
De Bruyckere, P., Kirschner, P. A., & Hulshof, C. D. (2016). Technology in Education: What Teachers Should Know. American Educator, 40(1), 12-18.
Decision (EU) 2022/2481 of the European Parliament and of the Council of 14 December 2022 establishing the Digital Decade Policy Programme 2030. Official Journal of the European Union, 323, 4-26. http://data.europa.eu/eli/dec/2022/2481/oj
Dignath, C., & Büttner, G. (2018). Components of fostering self-regulated learning among students: A meta-analysis on intervention studies at primary and secondary school level. Metacognition and Learning, 13(2), 127-151. https://doi.org/10.1007/s11409-018-9181-x
Dobber, M., Zwart, R., Tanis, M., & van Oers, B. (2017). Literature review: The role of the teacher in inquiry-based education. Educational Research Review, 22, 194-214. https://doi.org/10.1016/j.edurev.2017.09.002
Duffy, G. G., Miller, S., Parsons, S., & Meloth, M. (2009). Teachers as metacognitive professionals. In D. J. Hacker, J. Dunlosky & A. C. Graesser (Eds.), Handbook of metacognition in education (pp. 240-256). Routledge/Taylor & Francis Group.
Efklides, A. (2011). Interactions of metacognition with motivation and affect in self-regulated learning: The MASRL model. Educational Psychologist, 46, 6-25. https://doi.org/10.1080/00461520.2011.538645
Escobedo Portillo, M. T., Hernández Gómez, J. A., Estebané Ortega, V., & Martínez Moreno, G. (2016). Modelos de ecuaciones estructurales: Características, fases, construcción, aplicación y resultados. Ciencia & trabajo, 18(55), 16-22. https://doi.org/10.4067/S0718-24492016000100004
European Commision. (2021). Plan de Acción de Educación Digital (2021-2027). https://education.ec.europa.eu/es/focus-topics/digital-education/action-plan
European Union. (2021). Europe's Digital Decade. https://digital-strategy.ec.europa.eu/en/policies/europes-digital-decade
García-Llorente, H. J., Martínez-Abad, F., & Rodríguez-Conde, M. J. (2020). Evaluación de la competencia informacional observada y autopercibida en estudiantes de educación secundaria obligatoria en una región española de alto rendimiento PISA. Revista Electrónica Educare, 24(1), 24-40. https://doi.org/10.15359/ree.24-1.2
Gutiérrez-Martín, A., Pinedo-González, R., & Gil-Puente, C. (2022). Competencias TIC y mediáticas del profesorado.: Convergencia hacia un modelo integrado AMI-TIC / ICT and Media competencies of teachers. Convergence towards an integrated MIL-ICT model. Comunicar, 70, 21-33. https://doi.org/10.3916/C70-2022-02
Halamish, V. (2018). Pre-service and in-service teachers’ metacognitive knowledge of learning strategies. Frontiers in Psychology, 9, 2152. https://doi.org/10.3389/fpsyg.2018.02152
Huff, J. D., & Nietfeld, J. L. (2009). Using strategy instruction and confidence judgments to improve metacognitive monitoring. Metacognition and Learning, 4, 161-176. https://doi.org/10.1007/s11409-009-9042-8
INTEF. (2022). Marco de Referencia de la Competencia Digital Docente Actualizado. https://intef.es/
Kaczkó, É., & Ostendorf, A. (2023). Critical thinking in the community of inquiry framework: An analysis of the theoretical model and cognitive presence coding schemes. Computers & Education, 193, 104662. https://doi.org/10.1016/j.compedu.2022.104662
Martin, A., & Madigan, D. (2006). Digital literacies for learning. Facet Publishing.
McDougall, J., Brites, M. J., Couto, M. J., & Lucas, C. (2019). Digital literacy, fake news and education. Cultura y Educación, 31(2), 203-212. https://doi.org/10.1080/11356405.2019.1603632
Monereo, C. (Coord.). (2011): Internet y competencias básicas. Aprender a colaborar, a comunicarse, a participar, a aprender. Editorial Graó.
Muijs, D., & Bokhove, C. (2020). Metacognition and Self-Regulation: Evidence Review. Education Endowment Foundation. https://educationendowmentfoundation.org.uk/evidence-summaries/evidence-reviews/ metacognition-and-self-regulation-review/
Núñez, J. C., Tuero, E., Fernández, E., Añón, F. J., Manalo, E., & Rosário, P. (2022). Efecto de una intervención en estrategias de autorregulación en el rendimiento académico en Primaria: estudio del efecto mediador de la actividad autorregulatoria. Revista de Psicodidáctica, 27(1). https://doi.org/10.1016/j.psicod.2021.09.001
OECD. (2017). Teacher questionnaire for PISA 2018. Test language teacher. International option. OECD. https://bit.ly/3ZltsTY
OECD. (2019). PISA 2018 assessment and analytical framework. PISA. OECD Publishing. https://doi.org/10.1787/b25efab8-en
Ortega-Ruipérez, B., & Castellanos, A. (2021). Design and development of a digital tool for metacognitive strategies in self-regulated learning. In EduLearn 21. 13th International Conference on Education and New Learning Technologies Online Conference. 5-6 July, 2021 (pp. 1203-1211). IATED Academy. https://doi.org/10.21125/edulearn.2021.0300
Ortega-Ruipérez, B., & Castellanos, A. (2023). Guidelines for instructional design of courses for the development of self-regulated learning for teachers. South African Journal of Education, 43(3). https://doi.org/10.15700/saje.v43n3a2202
Panadero, E. (2017). A review of self-regulated learning: Six models and four directions for research. Frontiers in Psychology, 8, 422. https://doi.org/10.3389/fpsyg.2017.00422
Pérez-Escoda, A. (2017). Alfabetización mediática, TIC y competencias digitales. UOC.
Pérez-Escoda, A., García-Ruiz, R., & Aguaded, I. (2019). Dimensions of digital literacy based on five models of development / Dimensiones de la alfabetización digital a partir de cinco modelos de desarrollo. Culture and Education, 31(2), 232-266. https://doi.org/10.1080/11356405.2019.1603274
Perry, J., Lundie, D., & Golder, G. (2019). Metacognition in schools: what does the literature suggest about the effectiveness of teaching metacognition in schools? Educational Review, 71(4), 483-500. https://doi.org/10.1080/00131911.2018.1441127
Punie, Y., & Redecker, C. (2017). European Framework for the Digital Competence of Educators: DigCompEdu. https://doi.org/10.2760/178382
Reisoğlu, İ., Toksoy, S. E., & Erenler, S. (2020). An analysis of the online information searching strategies and metacognitive skills exhibited by university students during argumentation activities. Library & Information Science Research, 42(3). https://doi.org/10.1016/j.lisr.2020.101019
Ruiz, M., Pardo, A., & San Martín, R. (2010). Modelos de ecuaciones estructurales. Papeles del Psicólogo, 31(1).
Salcedo, D. M., Ibarra, K. A., Ceballos, V. I., & Pazmiño, E. S. (2022). Digital meanings: multimodal communications and multiliteracy. Recimundo. Revista Científica Mundo de la Investigación y el Conocimiento, 3, 147-154. https://doi.org/10.26820/recimundo/6
Schreiber, J. B. (2021). Issues and recommendations for exploratory factor analysis and principal component analysis. Research in Social and Administrative Pharmacy, 17(5), 1004-1011. https://doi.org/10.1016/j.sapharm.2020.07.027
Sonnenberg, C., & Bannert, M. (2019). Using Process Mining to examine the sustainability of instructional support: How stable are the effects of metacognitive prompting on self-regulatory behavior? Computers in Human Behavior, 96, 259-272, https://doi.org/10.1016/j.chb.2018.06.003
Stephanou, G., & Mpiontini, M. (2017) Metacognitive Knowledge and Metacognitive Regulation in Self-Regulatory Learning Style, and in Its Effects on Performance Expectation and Subsequent Performance across Diverse School Subjects. Psychology, 8, 1941-1975. https://doi.org/10.4236/psych.2017.812125
Suárez, E. J., & González, L. M. (2021). Puntos de encuentro entre pensamiento crítico y metacognición para repensar la enseñanza de ética. Sophia, Colección de Filosofía de la Educación, 30, 181-202. https://doi.org/10.17163/soph.n30.2021.06
UNESCO. (2016). Tecnologías digitales al servicio de la calidad educativa: una propuesta de cambio centrada en el aprendizaje para todos. https://unesdoc.unesco.org/ark:/48223/pf0000245115
Vázquez-López, V., & Huerta-Manzanilla, E. L. (2021). Factors Related with Underperformance in Reading Proficiency, the Case of the Programme for International Student Assessment 2018. European Journal of Investigation in Health, Psychology and Education, 11(3), 813-828. https://doi.org/10.3390/ejihpe11030059
Villaplana V., Torrado, S., & Ródenas, G. (2022). Capítulo 4. Alfabetización mediática e innovación docente. Hacia un enfoque crítico de la docencia de la Comunicación desde las Pedagogías visuales. Espejo De Monografías De Comunicación Social, 9, 59-74. https://doi.org/10.52495/c4.emcs.9.p95
Wall, K., & Hall, E. (2016). Teachers as metacognitive role models. European Journal of Teacher Education, 39(4), 403-418. https://doi.org/10.1080/02619768.2016.1212834
Wigfield, A., & Cambria, J. (2010). Students’ achievement values, goal orientations, and interest: Definitions, development, and relations to achievement outcomes. Developmental Review, 30(1). https://doi.org/10.1016/j.dr.2009.12.001
Zheng, L., Li, X., & Chen, F. (2016). Effects of a mobile self-regulated learning approach on students’ learning achievements and self-regulated learning skills. Innovations in Education and Teaching International, 55(6), 1-9. https://doi.org/10.1080/14703297.2016.1259080
Zhou, M. (2023). Students’ metacognitive judgments in online search: a calibration study. Education and Information Technologies, 28, 2619-2638. https://doi.org/10.1007/s10639-022-11217-y
Zimmerman, B. J. (2008). Investigating Self-Regulation and Motivation: Historical Background, Methodological Developments, and Future Prospects. American Educational Research Journal, 45, 166-183. https://doi.org/10.3102/0002831207312909
Zimmerman, B. J., & Moylan, A. R. (2009). Self-Regulation. Where Metacognition and Motivation Intersect. In D. J. Hacker, J. Dunlosky & A. C. Graesser (Eds.), Handbook of metacognition in education (pp. 278-298). Mahwah, Erlbaum.
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