An Exploratory Study of the Relation between Cognitive Style and Metacognitive Monitoring in a Sample of Colombian University Students

Authors

  • Diana Marcela Montoya Londoño Universidad de Caldas
  • Christian Hederich Martinez Universidad Pedagógica Nacional
  • Antonio P. Gutierrez de Blume Georgia Southern University

Keywords:

Cognitive Styles, Calibration Accuracy and Bias, Intellectual Style, Metacognitive Monitoring

Abstract

References

Biggs, J. B. (1978). Individual and group differences in study processes. British Journal of Educational Psychology, 48, 266-279. doi: 10.1111/j.2044-8279.1978.tb03013.x

Boldt, A., Gardelle, V., & Yeung, N (2017). The Impact of evidence reliability on sensi-tivity and bias in decision confidence. Journal of Experimental Psychology: Human Perception and Performan, 43(8), 1520-1531. doi:10.1037/xhp0000404

Blais, A., Thompson, M., & Baranski, J. (2005). Individual differences in decision pro-cessing and confidence judgments in comparative judgment tasks: The role of cognitive styles. Personality and Individual Differences, 38(7), 1701-1713. doi: 10.1016/j.paid.2004.11.004 Buratti, S., Allwood, C., & Kleitman, S. (2013). First- and second-order metacognitive judgments of semantic memory reports: The influence of personality traits and cognitive styles. Metacognition & Learning, 8(1), 79-102. doi: 10.1007/s11409-013-9096-5

Curry, L. (1983). An organization of learning styles theory and constructs. ERIC Doc. 235: 185. https://eric.ed.gov/?id=ED235185

Díaz-Granados, F., Cantillo, K., & Polo, A. (2000). Relación entre el nivel de pensamiento y el estilo cognitivo dependencia-independencia de campo en estudiantes universitarios. Psicología desde el Caribe, 5, 176-196. http://rcientificas.uninorte.edu.co/index.php/psicologia/article/view/761/5262

Díaz, M., Cuevasanta, D., Grau, L., & Curione, K. (2014). Estudio del estilo cognitivo de estudiantes de psicología e ingeniería. Revista Argentina de Ciencias del Comporta-meinto, 6(2), 35-43. doi:10.32348/1852.4206.v6.n2.7444

Entwistle, N. (1981). Styles of teaching and learning: An integrated outline of education-al psychology for students, teachers, and lecturers. Taylor & Francis Group. doi: 10.4324/9781315067506

Fleming, S., Massoni, S., Gajdos, T., & Vergnaud, J. (2016). Metacognition about the past and future: Quantifying common and distinct influences on prospective and retrospective judgments of self-performance.Neuroscience of Consciousness, 1, 1-12. doi: 10.1093/nc/niw018

Gregorc, A. F. (1979). Learning/teaching styles: Potent forces behind them. Education-al Leadership,36, 234-236. https://www.ascd.org/ASCD/pdf/journals/ed_lead/el_197901_gregorc.pdf

Gutierrez, A. P. & Schraw, G. (2015). Effects of strategy training and incentives on stu-dents’ performance, confidence, and calibration. Journal of Experimental Educa-tion, 83(3), 386-404. doi:10.1080/00220973.2014.907230

Gutiérrez, A. P., Schraw, G., Kuch, F., & Richmond, A. S. (2016). A two-process model of metacognitive monitoring: Evidence for general accuracy and error factors. Learning and Instruction, 44, 1-10. doi: 10.1016/j.learninstruc.2016.02.006

Gutiérrez de Blume, A. P. & Montoya Londoño, D. M. (2020). Relationship between per-sonality factors and metacognition in a sample of students in the last semester of training in baccalaureate degree programs in education in Colombia. Edu-cación y Humanismo, 22(39), 1-20. doi:10.17081/eduhum.22.39.4048

Hacker, D. J., Bol, L., Horgan, D. D., & Rakow, E. A. (2000). Test prediction and perfor-mance in a classroom context. Journal of Educational Psychology, 92, 160-170. doi: 10.1037/0022-0663.92.1.160

Hadwin, A. F. & Webster, E. A. (2013). Calibration in goal setting: Examining the nature of judgments of confidence. Learning and Instruction, 24, 37-47. doi: 10.1016/j.learninstruc.2012.10.001

Hederich, C. (2007). Estilo cognitivo en la dimensión de dependencia-independencia de campo: influencias culturales e implicaciones para la educación. Bogotá: Fondo Editorial Uni-versidad Pedagógica Nacional. https://ddd.uab.cat/record/37852

Hederich-Martínez, C. & Camargo-Uribe, A. (2016). Cognitive style and educational performance: The case of public schools in Bogotá, Colombia. Educational Psy-chology, 36(4), 719-737. doi: 10.1080/01443410.2015.1091916

Honey, P. & Munford, A. (1992). The manual of learning styles. Psychology Press. https://books.google.com/books/about/The_Manual_of_Learning_Styles.htm-l?id=CkiTQgAACAAJ

Kagan, J. (1966). Developmental studies in reflection and analysis. In A. H. Kidd & J. L. Rivoire (Eds.), Perceptual development in children (pp. 487-522). International Uni-versity Press. https://psycnet.apa.org/record/1980-11745-001

Jia, S., Zhang, Q., & Li, S. (2014). Field dependence–independence modulates the effi-ciency of filtering out irrelevant information in a visual working memory task. Neuroscience, 278, 136-143. doi: 10.1016/j.neuroscience.2014.07.075

Kleitman, S. & Stankov, L. (2001). Ecological and Person-Oriented Aspects of Metacog-nitive Processes in Test-Taking. Applied Cognitive Psychology, 15(3), 321-341. doi: 10.1002/acp.705

Keren, G. (1991). Calibration and probability judgments: Conceptual and methodologi-cal issues. Acta Psychologica, 77(2), 217-273. doi: 10.1016/0001-6918(91)90036-Y

López, O., Hederich, C., & Camargo, A (2012). Logro de aprendizaje en ambientes hiper-mediales: andamiaje autorregulador y estilo cognitivo. Revista Latinoamericana de Psicología, 44(2), 13-26. doi:10.14349/rlp.v44i2.1028

López-Vargas, O., Ibáñez-Ibáñez, J., & Racines-Prada, O. (2017). Students’ metacog-nition and cognitive style and their effect on cognitive load and learning achievement. Educational Technology & Society, 20(3), 145-157. http://www.jstor.org/stable/26196126

López-Vargas, O., Ibáñez-Ibáñez, J., & Chiguasuque-Bello, E. (2014). El estilo cognitivo y la fijación de metas de aprendizaje en ambientes computacionales. Pensamien-to Psicológico, 12(1), 133-148. doi:10.11144/Javerianacali.PPSI12-1.ecfm

Maki, R. (1998). Metacomprehension of text: influence of absolute confidence level on bias and accuracy. The Psychology of Learning and Motivation, 38, 223-248. doi: 10.1016/S0079-7421(08)60188-7.

Marchand, G. & Gutierrez, A. (2012). The role of emotion in the learning process: Com-parisons between online and face-to-face learning settings. The Internet and Higher Education 15(3), 150-160. doi:10.1016/j.iheduc.2011.10.001

Marchand, G. C. & Gutiérrez, A. P.(2017). Processes involving perceived instructional support, task values, and engagement in graduate education. The Journal of Ex-perimental Education, 85, 87-106. doi: 10.1080/00220973.2015.1107522

Marton, F. (1976). What does it take to learn? Some implications on an alternative view of learning. In N. J. Entwistle (Ed.), Strategies for research and development in higher education (pp. 200-222). Swets and Zeitlenger. https://files.eric.ed.gov/fulltext/ED359206.pdf

Miller, A. (1987). Cognitive styles: An integrated model. Educational Psychology, 7(4): 251-268. doi: 10.1080/0144341870070401

Miyake, A., Friedman, N., Rettinger, D., Shah, P., & Hegerty, M. (2001). How are visuo-spatial working memory, executive functioning, and spatial abilities related? A latent-variable analysis. Journal of Experimental Psychology: General, 130(4), 621-640. doi: 10.1037/0096-3445.130.4.621.

Miyake, A., Witzki, A. H., & Emerson, M. J. (2001). Field dependence–independence from a working memory perspective: A dual-task investigation of the hidden figures test. Memory, 9(4-6), 445-457. doi:10.1080/09658210143000029

McKeachie, W. & Svinicki, M. (2013). McKeachie’s Teaching Tips: Strategies, Research, and Theo-ry for College and University Teachers. Wadsworth Cengage Learning. https://www.cengage.com/c/mckeachie-s-teaching-tips-14e-mckeachie/9781133936794/

Nelson, T. O. & Dunlosky, J. (1991). When people’s judgments of learning (JOLs) are ex-tremely accurate at predicting subsequent recall: the “Delayed-JOL Effect”. Psy-chological Science, 2, 267-270. http://dx.doi.org/10.1111/j.14679280.1991.tb00147.x.

Nietfeld, J. L., Cao, L., & Osborne, J. W. (2006). The effect of distributed monitoring ex-ercises and feedback on performance, monitoring accuracy, and self-efficacy. Metacognition and Learning, 1(2), 159-179. doi: 10.1007/s10409-006-9595-6

Quiles, C., Verdoux, H., & Prouteau, A. (2014). Assessing metacognition during a cogni-tive task: Impact of “on-line” metacognitive questions on neuropsychological performances in a non-clinical sample. Journal of the International Neuropsycho-logical Society, 20(5), 547-554. doi:10.1017/S1355617714000290

Rittschof, K. (2008). Field dependence–independence as visuospatial and executive functioning in working memory: implications for instructional systems de-sign and research. Education Tech Research Dev, 58(1), 99-114. doi: 10.1007/s11423-008-9093-6

Rhodes, M. & Castel, A. (2008). Memory predictions are influenced by perceptual infor-mation: Evidence for metacognitive illusions. Journal of Experimental Psychology: General, 137(4), 615-625. doi: 10.1037/a0013684

Sadler-Smith, E. (2012). Metacognition and Styles. In L.-F. Zhang, R. Sternberg, & S. Rayner (Eds.), Handbook of intellectual styles. Preferences in cognition, learning, and thinking (pp.153-172). Springer Publishing. https://www.springerpub.com/handbook-of-intellectual-styles-9780826106674.html

Schmeck, R. R. (1983). Learning style of college students. In R. F. Dillon & R. R. Schmeck (Eds.), Individual differences in cognition (pp. 233-279). Academic. doi: 10.1007/978-1-4899-2118-5_12

Schraw, G. (2009). Measuring metacognitive judgments. In D. J. Hacker, J. Dunlosky, & A. Graesser (Eds.), Handbook of metacognition in education (pp. 415-429). Rout-ledge. doi: 10.4324/9780203876428

Schraw, G., Kuch, F., & Gutierrez, A. P. (2013). Measure for measure: Calibrating ten commonly used calibration scores. Learning and Instruction, 24, 48-57. doi: 10.1016/j.learninstruc.2012.08.007

Schraw, G. & Roedel, T. D. (1994). Test difficulty and judgment bias. Memory & Cognition, 22, 63-69. doi: 10.3758/BF03202762Slavin, R.E. (2000). Educational psychology: Theory and practice. Pearson. https://www.pearson.com/us/higher-education/program/Slavin-Educational-Psychology-Theory-and-Practice-plus-My-Lab-Education-with-Pearson-e-Text-Access-Card-Package-12th-Edition/PGM2005318.html

Sternberg, R. J. & Williams, W. M. (2002). Educational psychology. Pearson. https://www.pearson.com/us/higher-education/program/Sternberg-Educational-Psychol-ogy-2nd-Edition/PGM28179.html

Swe, M. & Saleh, I. (2010). New Science of learning: Exploring the future of education. In M. Khine, S. Swe, & M. Issa (Eds.), New Science of learning: cognition, computers, and collaboration in education (pp. 593-604). Springer. https://www.springer.com/gp/book/9781441957153

Tinajero, C., Castelo, A., Guisande, A., & Páramo, F. (2011). Adaptive teaching and field dependence-independence: Instructional implications. Revista Latinoamericana de Psicología, 43(3), 497-510. https://psycnet.apa.org/record/2011-30513-008

Weber, N., Woodard, L. & Williamson, P. (2013). Decision strategies and the confi-dence-accuracy relationship in face recognition. Journal Behavioral Decision Making, 26(2), 152-163. doi: 10.1002/bdm.1750

Wissman, K., Rawson, K., & Pyc, M. (2012). How and when do students use flashcards? Memory, 20(6), 568-579. doi: 10.1080/09658211.2012.687052

Witkin, H. A., Dyk, R. B., Faterson, H. F., Goodenough, D. R., & Karp, S. A. (1962). Psycho-logical differentiation. John Wiley & Sons Inc. doi: 10.1037/13128-000

Witkin, H., Moore, C. A., Goodenough, D. R., & Cox, P. W. (1977). Field dependent and field independent cognitive styles and their educational implications. Review of Educational Research, 47(1), 1-64. doi: 10.3102/00346543047001001

Witkin, H. A., Oltman, P. K., Raskin, E., & Karp, S. A. (1971). Embedded Figures Test, Chil-dren’s Embedded Figures Test Manual. Consulting Psychologists Press. https://scholar.google.com/scholar_lookup?title=A%20manual%20for%20the%20embedded%20figures%20test&author=H.%20A..%20Witkin&author=P.%20K..%20Oltman&author=E..%20Raskin&author=S.%20A..%20Karp&publica-tion_year=1971

Yates, J. (1990). Judgment and decision making. Prentice-Hall. https://psycnet.apa.org/re-cord/1989-98745-000

Zhang, L. F. & Sternberg, R. (2005). A threefold model of intellectual styles. Educational Psychology Review, 17(1), 1-53. doi: 10.1007/s10648-005-1635-4

Zhang, L. F. & Sternberg, R. (2006). The nature of intellectual styles. Lawrence Erlbaum As-sociates. https://psycnet.apa.org/record/2006-03602-000

Zhang, L. F. & Sternberg, R. (2009). Preface. In L. F. Zhang & R. J. Sternberg (Eds.), Perspec -tives on the nature of intellectual styles (pp. xi–xvi). Springer. https://www.springer-pub.com/perspectives-on-the-nature-of-intellectual-styles-9780826104601.html

Zohar, A. & Ben-David, A. (2009). Paving a clear path in a thick forest: A conceptual analysis of a metacognitive component. Metacognition & Learning, 4(3), 177-195. doi: 10.1007/s11409-009-9044-6

Published

2022-01-20 — Updated on 2023-05-24

Versions