Learning based on the STEM model and the key of metacognition
DOI:
https://doi.org/10.24310/innoeduca.2020.v6i1.6719Keywords:
STEM education, metacognition, teaching-learning process, educational strategiesAbstract
This work deals with how, over the last few years, educational research has contributed to changing the perspective of teaching-learning. To this aim, the process of acquiring knowledge, skills and attitudes are studied, making an epistemological approach to the way in which people learn and how methods, procedures and didactic techniques should be adapted accordingly. Intelligence is conceptualized on the basis of the research carried out in recent years, as well as new forms of teaching-learning based on the STEM model (Science, Technology, Engineering and Mathematics) as a way of integrating these learning areas in an eminently practical way, centered on the experience of teachers and learners, displacing the mere acquisition of knowledge. All this is framed within a metacognitive learning process whose purpose is that the student learns to learn, integrating aspects such as significant learning, metamemory, metacomprehension, meta-reading and meta-writing. The type of learning and skills needed for the future is unknown, which makes it necessary to continuously reflect on the contents and methodologies of learning, an aspect that involves a curricular and methodological change that takes into account different learning contexts and models.
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Adams, S., Cummins, M., Davis, A., Hall, C. y Freeman, A. (2017). The NMC/CoSN Horizon Report: 2017 K – 12 Edition. Austin: The New Media Consortium.
Agra, G., Formiga, N.S., Oliveira, P.S.D., Costa, M.M.L., Fernandes, M.D.G.M. y Nóbrega, M.M.L.D. (2019). Analysis of the concept of Meaningful Learning in light of the Ausubel's Theory. Revista brasileira de enfermagem, 72(1), 248-255.
Aguilera Morales, D., Martín-Páez, T., Valdivia-Rodríguez, V., Ruiz-Delgado, Á., Williams-Pinto, L., Vílchez-González, J.M. y Perales-Palacios, F.J. (2018). La enseñanza de las ciencias basada en indagación. Una revisión sistemática de la producción española Inquiry-based Science Education. A systematic review of Spanish production. Revista de Educación, (381), 259-284.
Alamargot, D. y Chanquoy, L. (2001). Through the Models of Writing. Dordrecht: Kluwer Academic Press.
Allman, M.J. y Mareschal, D. (2016). Possible evolutionary and developmental mechanisms of mental time travel (and implications for autism). Current Opinion in Behavioral Sciences, 8, 220-225.
Arabit García, J. y Prendes Espinosa, M.P. (2020). Metodologías y Tecnologías para enseñar STEM en Educación Primaria: análisis de necesidades. Píxel-Bit. Revista de Medios y Educación, (57), 107-128.
Barnett, R. (2018a). The Ecological University: a university whose time has come. In: Ronald Barnett y Michael Peters (eds). The Idea of the University (pp. 141-151). Vol. 2, Contemporary Perspectives. New York: Peter Lang.
Barnett, R. (2018b). The University after Postmodernism: An Ecological Approach. Educational Philosophy and Theory, 50(14) 1537-1538.
Barnett, R. (2019). The Thoughtful University: A Feasible Utopia. Beijing International Review of Education, 1(1) 55-72. DOI:https://doi.org/10.1163/25902547-00101007
Bautista-Vallejo, J.M. y González Guillén, F. (2018). Los secretos del fracaso escolar. Amazon.
Bers, M.U. (2018). Coding as a playground. Programming and Computational Thinking in the Early Childhood Classroom. Nueva York: Routledge.
Briñas, L.T. (2017). Priorizar la competencia aprender a aprender en las programaciones y unidades didácticas. International Journal of Developmental and Educational Psychology. Revista INFAD de Psicología, 7(1), 131-140.
Cabero Almenara, J. y Fernández Robles, B. (2018). Las tecnologías digitales emergentes entran en la Universidad: RA y RV. RIED. Revista Iberoamericana de Educación a Distancia, 21 (2), 119-138.
Cerezo, R., Fernández, E., Amieiro, N., Valle, A., Rosário, P. y Núñez, J.C. (2019). El papel mediador de la autoeficacia y la utilidad entre el conocimiento y el uso de estrategias de autorregulación del aprendizaje. Revista de Psicodidáctica, 24(1), 1-8.
Clements, D. (1986). Effects of Logo and CAI environments on cognition and creativity. Journal of Educational Psychology, 78(4), 309-318.
De Bruin, A.B.H., Thiede, K.W., Camp, G. y Redford, J. (2011). Generating keywords improves metacomprehension and self-regulation in elementary and middle school children. Journal of Experimental Child Psychology, 109, 3, 294-310. doi:10.1016/j.jecp.2011.02.005
Dzib Goodin, A. (2013a). La evolución del aprendizaje más allá de las redes neuronales. Revista Chilena de Neuropsicología, 8, 1, 20-25.
Dzib Goodin, A. (2013b). La arquitectura cerebral como responsable del desarrollo del proceso de aprendizaje. Revista Mexicana de Neurociencia, 14 (2), 81-85.
Dzib-Goodin, A., Sanders, L. y Yelizarov, D. (2017). Sistemas Neuro-Moleculares necesarios para el proceso de memoria. Cuadernos de Neuropsicología/Panamerican Journal of Neuropsychology, 11(1), 82-102.
Eysenck, H. (2018). Intelligence: A new look. New York: Routledge.
Fagerberg, J., Landström, H. y Martin, B.R. (2012). Exploring the emerging knowledge base of ‘the knowledge society’. Research Policy, 41, 1121–1131. DOI:https://doi.org/10.1016/j.respol.2012.03.007
Fesel, S.S., Segers, E. y Verhoeven, L. (2018). Individual variation in children's reading comprehension across digital text types. Journal of Research in Reading, 41(1), 106-121.
Flavell, J. (1976). Metacognitive aspects of problem solving. In: Resnick, Lauren (Ed.). The nature of intelligence (pp. 231-236). Hillsdale: Lawrence Erlbaum.
Flavell, J. (1979). Metacognition and cognitive monitoring: a new area of cognitive-developmental inquiry. American Psychologist, 34(10), 906-911.
Flavell, J. (1992). Desarrollo cognitivo: pasado, presente y futuro. Developmental Psychology, 28(6), 998-1005.
Galván Celis, V., Mikhailova Pechonkina, I. y Dzib Goodin, A. (2014). La relación entre los procesos de lecto-escritura y la música desde la perspectiva neurocognitiva. Revista Chilena de Neuropsicología, 9(1-2), 21-24.
Galván-Fernández, C., Rubio-Hurtado, M., Martínez-Olmo, F. y Rodríguez-Illera, J. (2017). Can the integration of a PLE in an e-portfolio platform improve generic competences? Journal of New Approaches in Educational Research (NAER Journal), 6(2), 112-118.
García-Peñalvo, F.J. y Mendes, A.J. (2018). Exploring the computational thinking effects in pre-university education. Computers in Human Behavior, 80, March, 407-411.
Gargallo López, B., Pérez-Pérez, C., García-García, F.J., Giménez Beut, J.A. y Portillo Poblador, N. (2020). La competencia aprender a aprender en la universidad: propuesta de modelo teórico. Educación XX1, 23(1), 19-44. DOI:10.5944/educXX1.23367
Garis, A.G., Albornoz, M.C. y Silvestri, M.A. (2018). Analizando el impacto de talleres de programación en escuelas con respecto al ingreso de alumnos en carreras de informática. En XX Workshop de Investigadores en Ciencias de la Computación (WICC 2018, Universidad Nacional del Nordeste).
Godhe, A.L., Lilja, P. y Selwyn, N. (2019). Making sense of making: critical issues in the integration of maker education into schools. Technology, Pedagogy and Education, 1-12. DOI:10.1080/1475939X.2019.1610040
Gray, S.L., Scott, D. y Mehisto, P. (2018). Belonging Together: A Model for Education in a New European Age (pp. 139-159). En P. Mehisto, S.L. Gray, D. Scott: Curriculum Reform in the European Schools. Londres: Palgrave Macmillan. DOI:https://doi.org/10.1007/978-3-319-71464-6_7
Grover, S. (2019, February). Thinking about Computational Thinking: Lessons from Education Research (pp. 1283-1283). En Proceedings of the 50th ACM Technical Symposium on Computer Science Education. ACM.
Grover, S., Dominguez, X., Kamdar, D., Vahey, P., Moorthy, S., Rafanan, K. y Gracely, S. (2019, February). Integrating Computational Thinking in Informal and Formal Science and Math Activities for Preschool Learners (pp. 1257-1258). En Proceedings of the 50th ACM Technical Symposium on Computer Science Education. ACM.
Jiménez Rodríguez, V., Alvarado Izquierdo, J.M. y Calaforra Faubel, P.J. (2018). Metacognitive Strategies Applied to Writing as Predictors of Spontaneous Writing Quality. Electronic Journal of Research in Educational Psychology, 16(45), 301-322.
Llewelyn, S. y Hobson, J.A. (2015). Not only… but also: REM sleep creates and NREM stage 2 instantiates landmark junctions in cortical memory networks. Neurobiology of learning and memory, 122, 69-87.
López Mejías, M.; Cuenca Díaz, M. y Cabrera Hernández, Y. (2017). La metamemoria: un recurso de aprendizaje básico en el ámbito escolar. Transformación, 13(1), enero-abril, 43-55.
Metcalfe, J. y Dunlosky, J. (2008). Metamemory. En Roediger, H. (Ed.). Cognitive psychology of memory (pp. 349-362). Oxford: Elsevier.
Murcia, K. y Pepper, C. (2018). Evaluating the social impact of a science centre’s STEM professional learning strategies for teachers. Issues in Educational Research, 28(2), 438-452.
Oda, M. y Horita, T. (2019, March). Characteristics and Challenges of Japanese Computer Science Education in Elementary Level (pp. 62-69). En Society for Information Technology & Teacher Education International Conference. Association for the Advancement of Computing in Education (AACE).
Ott, D.L. y Michailova, S. (2018). Cultural intelligence: A review and new research avenues. International Journal of Management Reviews, 20(1), 99-119.
Perry, J., Lundie, D. y Golder, G. (2018). Metacognition in schools: what does the literature suggest about the effectiveness of teaching metacognition in schools? Educational Review, 1-18. DOI:10.1080/00131911.2018.1441127
Riley, M.R. y Constantinidis, C. (2016). Role of prefrontal persistent activity in working memory. Frontiers in Systems Neuroscience, 9. DOI:10.3389/fnsys.2015.00181.
Rodríguez Palmero, M.L. (2004) Teoría del Aprendizaje Significativo (pp. 535-544). En Concept Maps: Theory, Methodology, Technology. Proc. of the First Int. Conference on Concept Mapping. Universidad Pública de Navarra, Pamplona, Spain.
Rodríguez, S.D. y González, M.F. (2018). Análisis de la implantación de las TIC en la Educación Secundaria. Tendencias tecnológicas actuales. Revista de Estilos de Aprendizaje, 11(22), 109-135. http://revistaestilosdeaprendizaje.com/article/view/1082
Romero Cuervo, E.M. (2018). Ambiente multimodal de aprendizaje para el fomento de la compresión lectora de textos explicativos en ciencias naturales (Master's thesis, Universidad de La Sabana, Colombia).
Sivaraj, R., Ellis, J. y Roehrig, G. (2019, March). Conceptualizing the T in STEM: A Systematic Review (pp. 991-1000). En Society for Information Technology & Teacher Education International Conference. Association for the Advancement of Computing in Education (AACE).
Snow, E. y Kaplan, M. (2018). The New Five-Year Federal Strategic Plan in STEM Education: What's in it for Science? En AGU Fall Meeting Abstracts, December.
Solé-Llussà, A., Aguilar Camaño, D. y Ibáñez Plana, M. (2019). Las ayudas en indagaciones científicas escolares mediadas por herramientas tecnológicas. Investigaciones de la última década. Digital Education Review, (36), December, 223-242.
Sommer, S., Cornejo, M.E., Cortez, M. y Rodríguez, J. (2018). El lugar de las Ciencias de la Computación en el currículum de la escuela secundaria argentina. En XX Workshop de Investigadores en Ciencias de la Computación (WICC 2018, Universidad Nacional del Nordeste).
Soodla, P.; Jõgi, A.L. y Kikas, E. (2017). Relationships between teachers’ metacognitive knowledge and students’ metacognitive knowledge and reading achievement. European Journal of Psychology of Education, 32(2), 201-218.
Spruce, R.; Bol, L. (2015). Teacher beliefs, knowledge, and practice of self-regulated learning. Metacognition and Learning, 10, 245-277.
Tamayo-Alzate, Ó.E., Cadavid-Alzate, V. y Montoya-Londoño, D.M. (2019). Análisis metacognitivo en estudiantes de básica, durante la resolución de dos situaciones experimentales en la clase de Ciencias Naturales. Revista Colombiana de Educación, (76), 117-141.
Tanner, K. (2012). Promoting student metacognition. CBE Life Sciences Education, Bethesda, 11(2), 113-120.
Tsai, M.-J., Wang, C.-Y. y Hsu, P.-F. (2019). Developing the Computer Programming Self-Efficacy Scale for Computer Literacy Education. Journal of Educational Computing Research, 56(8), 1345–1360. DOI:https://doi.org/10.1177/0735633117746747
Tulving, E. y Madigan, S. (1970). Memory and verbal learning. Annual Review of Psychology, 21(1), 437-484.
Valenzuela, Á. (2019). ¿Qué hay de nuevo en la metacognición? Revisión del concepto, sus componentes y términos afines. Educação e Pesquisa, 45, e187571-e187571. DOI:https://doi.org/10.1590/s1678-4634201945187571
Villota Hurtado, O. (2018). Uso del portafolio digital como herramienta cognitiva. Modelo para una evidencia significativa. EDMETIC, 7(1), 321-349. DOI:https://doi.org/10.21071/edmetic.v7i1.5751
Wang, S. (2015). On Digital Reading. Library Journal, 34(4), 4-10.
Wellman, H. (1985). The origins of metacognition (1-30). En Forrest Presley, D.; Mackinton, G.; Waller, G. (Ed.). Metacognition, cognition and human perfomance. Orlando: Academic Press.
Xilin, Y. (2016). Digital Reading Behavior & Habit Can Affect “Reading Brain” and Cognitive Model of Reading. Libraly Journal, 35(4), 18-26.
Zepeda, C. et al. (2015). Direct Instruction of metacognition benefits adolescent science learning, transfer, and motivation: an in vivo study. Journal of Educational Psychology, 107(4), 954-970.
Zúñiga, R.P., Lozano, P.M., García, M.M., Hernández, E.M. y Ibarra, J.Á.P. (2018). La sociedad del conocimiento y la sociedad de la información como la piedra angular en la innovación tecnológica educativa. RIDE Revista Iberoamericana para la Investigación y el Desarrollo Educativo, 8(16), 847-870.
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