Evaluación de estrategias metacognitivasaplicación de métodos online

  1. María Consuelo Sáiz-Manzanares 1
  2. Miguel Ángel Queiruga-Dios 1
  1. 1 Universidad de Burgos
    info

    Universidad de Burgos

    Burgos, España

    ROR https://ror.org/049da5t36

Journal:
Revista de Psicología y Educación

ISSN: 1699-9517

Year of publication: 2018

Volume: 13

Issue: 1

Pages: 33-45

Type: Article

More publications in: Revista de Psicología y Educación

Abstract

Great difficulties have always been associated with learning highly abstract concepts. One effective teaching method is Self-Regulated Learning (SRL), because it facilitates the use of Metacognitive Skills (MS), which have been found to explain 40% of the variance in learning outcomes. Also in the MS measurement is more effective to use on-line methods than off-line methods. The aims of the study were: 1) to establish whether a relationship exists between MS registered with on-line methods to MS registered with off-line methods; and 2) to verify whether the quality of each MS (orientation, planning, evaluation and elaboration) depends on the contents of the thematic units. 499 think-aloud protocols in Secondary Education students over one academic year are analyzed in this paper. Relationships between reorientation and planning MS (measures with on-line methods) and self-assessment MS (measures with off-line methods) were found. Also, we found significative differences in MS use. Thus, the use of online assessment techniques would appear to be of immense assistance to teachers wishing to analyze the quality of the learning outcomes of their students.

Bibliographic References

  • Arias, B., Verdugo, M. A., Navas, P., y Gómez, L. E. (2013). Factor structure of the construct of adaptive behavior in children with and without intellectual disability. International Journal of Clinical and Health, 13, 155–166. doi: 10.1016/S1697-2600(13)70019-X
  • Azevedo, R., Johnson, A., Chauncey, A., y Graesser, A. (2011). Use of hypermedia to assess and convey self-regulated learning. En B. J. Zimmerman y D. H. Schunk (Eds.), Handbook of self-regulation of learning and performance (pp. 102–121). New York: Routledge/Taylor & Francis Group.
  • Camarero, F., Martín, F., y Herrero, J. (2000). Estilos y estrategias de aprendizaje en estudiantes universitarios. Psicothema, 12, 615–622.
  • Carbonero, M. A., Román, J. M., y Ferrer, M. (2013). Programa para “aprender estratégicamente” con estudiantes universitarios: diseño y validación experimental. Anales de Psicología, 29, 876– 885. doi: 10.6018/analesps.29.3.165671
  • Costa, A. P., Reis, L. P., Neri de Sousa, F., Moreira, A., y Lamas, D. (2018). Computer Supported Qualitative Research. Switzerland: Springer. doi. 10.1007/978-3-319-43271-7
  • de Kock, W. (2016). Speech versus text supported hints in learning to solve word problems. Computers in Human Behavior, 57, 300311. doi: 10.1016/j.chb.2015.11.037
  • Hattie, J., y Gan, M. (2011). Instructions based on feedback. En R. E. Mayer y P. A. Alexander (Eds.), Handbook of Research on Learning and Instruction: Educational Psychology Handbook series (pp. 249-271). New York: Routledge.
  • Hattie, J., y Timperley, H. (2007). The power of feedback. Review of Educational Research, 77, 81-112. doi: 10.3102/003465430298487
  • Hernández, A., y Camargo, A. (2017). Autorregulación del aprendizaje en la Educación Superior en Iberoamérica: una revisión sistemática. Revista Latinoamericana de Psicología, 49, 146-160. doi: 10.1016/j. rlp.2017.01.001.
  • Narciss, S. (2008). Feedback strategies for interactive learning tasks. En J. M Spector, M. D. Merrill, J. J. G. Van Merrienboer, y M. P. Driscoll (Eds.), Handbook of Research on Educational Communications and Technology (3rd ed., pp. 125-144). Mahwah, NJ: Lawrence Erlbaum Associates. doi: 10.4324/9780203880869.ch11
  • Norman, E., y Furnes, B. (2016). The relationship between metacognitive experiences and learning: Is there a difference between digital and non-digital study media? Computers in Human Behavior, 54, 301-309. doi: 10.1016/j.chb.2015.07.043
  • OECD (Organization for Economic CoOperation and Development). (2016). Assessment and Analytical Framework: Science, Reading, Mathematic and Financial Literacy, OECD Publishing, Paris. doi: 10.1787/9789264255425-en
  • Panadero, E., y Jonsson, A. (2013). The use of scoring rubrics for formative assessment purposes revisited: A review. Educational Research Review, 9, 129-144. doi: 10.1016/j.edurev.2013.01.002
  • Pozo, J. I. (2007). Cambio conceptual y representacional en el aprendizaje y la enseñanza de la ciencia. Madrid: Antonio Machado.
  • Queiruga, M. A. (2009). ¡Física sí!: La física está en lo cotidiano. A Coruña: Editorial Q.
  • Reif, F. (2008). Applying cognitive science to education: Thinking and learning in scientific and other complex domains. Cambridge, M. A: The MITPress.
  • Rodríguez, S., Piñeiro, I., Regueiro, B., Estevez, I., y Val, C. (2017). Estrategias cognitivas etapa educativa y rendimiento académico. Revista de Psicología y Educación, 12(1), 19-34.
  • Román, J. M. y Poggioli, L. (2013). ACRA (r): Escalas de estrategias de aprendizaje. Caracas: Publicaciones UCAB.
  • Sáiz, M. C., y Bol, A. (2015). Cómo enseñar y cómo evaluar la resolución de problemas en física: una reflexión sobre la propia práctica. En M. A. Queiruga (Ed.), Innovación en la enseñanza de las Ciencias: reflexiones, experiencias y buenas prácticas (pp. 129146). A Coruña: Editorial Q.
  • Sáiz, M. C., y Marticorena, R. (2016). Metacognition. Self-Regulation and Feedback for Object-Oriented Programming Problem-Solving. En J. Benson (Ed.), Metacognition: Theory. Performance and Current Research (pp. 43-94). New York: Nova.
  • Sáiz, M. C., Marticorena, R., García-Osorio, C. I., y Díez, J. F. (2017). How Do B-Learning and Learning Patterns Influence Learning Outcomes? Frontiers in Psychology, 8(745), 1-13. doi: 10.3389/fpsyg.2017.00745
  • Sáiz, M. C., y Montero, E. (2015). Metacognition, Self-regulation and Assessment in Problem-Solving Processes at University. En A. Peña-Ayala (Ed.), Metacognition: Fundaments, Applications, and Trends (Vol. 76 series Intelligent Systems, pp. 107-133). Switzerland: Springer. doi: 10.1007/978-3319-11062-2_5
  • Sáiz, M. C., y Payo, R. J. (2012). Autopercepción del conocimiento en Educación Superior. Revista Iberoamericana de Psicología y Salud, 3(2), 159-174. Recuperado de http://hdl.handle. net/10259/4417
  • Sáiz, M. C., y Pérez, M. I. (2016). Autorregulación y mejora del autoconocimiento en resolución de problemas. Psicología desde el Caribé, 33(1). doi: 10.14482/psdc.33.1.8076
  • Sáiz, M. C., y Román, J. M. (2011). Cuatro formas de evaluación en educación superior gestionadas desde la tutoría. Revista de Psicodidáctica, 16(1), 145-161.
  • Schellings, G. L. M., Van Hout-Wolters, B. H. A. M., Veenman, M. V. J., y Meijer, J. (2013). Assessing metacognitive activities: the in-depth comparison of a task-specific questionnaire with think-aloud protocols. European Journal of Psychology of Education, 28, 963–990. doi: 10.1007/s10212-0120149-y
  • Schraw, G. (2010). Measuring Self-Regulation in Computer-Based Learning Environments. Educational Psychologist, 45(4), 258-266, doi: 10.1080/00461520.2010.515936.
  • Schunk, D. H., Meece, J. R, y Pintrich, P. R (2012). Motivation in education: Theory, research, and applications. London: Pearson Higher Ed.
  • Siddiq, P., y Scherer, R. (2017). Revealing the processes of students’ interaction with a novel collaborative problem solving task: An in-depth analysis of think-aloud protocols. Computers in Human Behavior, 76, 509-525. doi. 10.1016/j.chb.2017.08.007
  • Statistical Package for the Social Sciences (SPSS) (Versión 24). [Software de análisis estadístico de datos]. Madrid: IBM.
  • Van der Stel, M., y Veenman, M. V. J. (2014). Metacognitive skills and intellectual ability of Young adolescents: a longitudinal study from a developmental perspective. European Journal of Psychology of Education, 29(1), 117-137. doi: 10.1007/s10212-0130190-5
  • Veenman, M. V. J. (2011). Alternative assessment of strategy use with self-report instruments: a discussion. Metacognition and Learning, 6, 205-21. doi: 10.1007/ s11409-011-9080-x
  • Veenman, M. V. J., Bavelaar, L., De Wolf, L., y Van Haaren, M. G. P. (2014). The online assessment of metacognitive skills in a computerized learning environment. Learning and Individual Differences, 29, 123-130. doi: 10.1016/j.lindif.2013.01.003
  • Von Davier, A. A., Hao, J., Liu, L., y Kyllonen, P. (2017). I Interdisciplinary research agenda in support of assessment of collaborative problem solving: lessons learned from developing a Collaborative Science Assessment Prototype. Computers in Human Behavior, 76, 631-640. doi: 10.1016/j. chb.2017.04.059
  • Zimmerman, B.J. (1990). Self-regulated learning and academic achievement: An overview. Educational Psychologist, 25 3-17.
  • Zimmerman, B. J., y Schunk, D. H. (2011). Self-regulated learning and performance: An introduction and an overview. En B. J. Zimmerman y D. H. Schunk (Eds.), Handbook of self-regulation of learning and performance (pp. 1-12). New York: Routledge. doi: 10.4324/9780203839010.ch1