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

Autores/as

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

Palabras clave:

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

Resumen

While research on metacognition and cognitive styles is robust for either field alone, few studies have broached the two together. In addition, no studies to date have examined finer-grained objectives related to specific aspects of metacognition such as monitoring skill and its relation to cognitive style. Thus, the present study investigated confidence, performance, and accuracy measures for three types of metacognitive judgments (prediction, concurrent and postdiction) and three different types of metacognitive questions—questions about the task, questions about the self, and questions at different moments (before, during, and after)—and how these are related to cognitive style (field dependent, intermediate, field independent) in a sample of 57 Colombian university students. Results revealed that there were differences in metacognitive monitoring accuracy and bias as a function of cognitive style, and that these findings were similar both between different moments and across metacognitive judgments. Regarding cognitive style, those with an intermediate or field independent cognitive style reported greater monitoring accuracy and less bias than individuals with a field dependent style. Implications for research, theory, and practice are discussed.

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Ackerman, M., Crowe, M., Vance, D., Wadley, V., Owsley, C., & Ball, K. (2010). The impact of feedback on self-rated driving ability and driving self-regulation among older adults. The Gerontologist, 51(3), 367-378. doi: 10.1093/geront/gnq082

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 sensitivity 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 processing 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

Cacioppo, J. T., & Petty, R. E. (1982). The need for cognition. Journal of Personality and Social Psychology, 42(1),116–131. doi: 10.1037/0022-3514.42.1.116

Chiu, M. M., & Klassen, R. M. (2010). Relations of mathematics self-concept and its calibration with mathematics achievement: cultural differences among fifteen- year-olds in 34 countries. Learning and Instruction, 20, 2-17. doi: 10.1016/j.learninstruc.20 08.11.002.

Curry, L. (1983). An organization of learning styles theory and constructs. ERIC Doc. 235: 185.

Cutler, B., & Wolfe, R. (1989). Self-Monitoring and the Association between Confidence and Accuracy. Journal of Research in Personality, 23, 410-420. doi:10.1016/00926566(89)90011-1

Díaz – Granados, F., Kantillo, 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.

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

Denham, S. A., Bassett, H. H., Mincic, M., Kalb, S. C., Way, E., Wyatt, T., & Segal, Y. (2012). Social―emotional learning profiles of preschoolers' early school success: A person- centered approach. Learning and Individual Differences, 22, 178–189.

Dunlosky, J., & Tauber, S. K. (2012). Understanding people’s metacognitive judgments: an isomechanism framework and its implications for applied and theoretical research. In T. Perfect & S. Lindsay (Eds.), The SAGE Handbook of applied memory (pp. 1–10). Sage Publications Inc.

Dunlosky, J., & Rawson, K. (2019). How Cognitive Psychology Can Inform Evidence-Based Education Reform: An Overview of The Cambridge Handbook of Cognition and Education. In J. Dunlosky & K. Rawson (Eds.), The Cambridge Handbook of Cognition and Education (Cambridge Handbooks in Psychology, pp. 1-14). Cambridge University Press. doi:10.1017/9781108235631.001.

Entwistle, N. (1981). Styles of teaching and learning: An integrated outline of educational psychology for students, teachers, and lecturers. Wiley.

Flavell, J. (1979). Metacognition and Cognitive Monitoring A New Area of Cognitive — Developmental Inquiry. American Psychologist, 34(10), 906–911. doi:10.1037/0003-066x.34.10.906

Flavell, J. (1987). Speculation about nature and development of metacognition. In F. Weinert & R. Kluwe (Eds.), Metacognition, motivation and understanding (pp. 21–29). Hillsdale.

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. Educational Leadership,36, 234–236.

Gutierrez, A. P. (2012). Enhancing the calibration accuracy of adult learners: A multifaceted intervention. [doctoral thesis, University Libraries- University of Nevada- Las Vegas]. UNLV Theses, Dissertations, Professional Papers, and Capstones. 1568. https://digitalscholarship.unlv.edu/thesesdissertations/1568.

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

Gutierrez, 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

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

Hacker, D., Bol, L., & Bahbahani, K. (2008). Explaining calibration accuracy in classroom contexts: The effects of incentives, reflection, and explanatory style. Metacognition and Learning, 3(2), 101–121. https://doi.org/10.1007/s11409-008-9021-5

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 Universidad Pedagógica Nacional.

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

Holland, J. L. (1973). Making vocational choices: A theory of careers. Prentice-Hall.

Honey, P., & Munford, A. (1992). The manual of learning styles. Peter Honey.

Kagan, J. (1966). Developmental studies in reflection and analysis. In Kidd, A. H., & Rivoire, J. L. (Eds.), Perceptual development in children, (pp. 487-522). International University Press.

Kleitman, S., & Stankov, L. (2001). Ecological and Person-Oriented Aspects of Metacognitive 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 methodological issues. Acta Psychologica, 77(2), 217–273.doi: 10.1016/0001-6918(91)90036-Y

Koriat, A. (2012). The self-consistency model of subjective confidence. Psychological Review, 119, 80-113. doi: 10:1037/a0025648.

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

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.

Maki, R. H. & Berry, S. L. (1984). Metacomprehension of text material. Journal of Experimental Psychology: Learning, Memory & Cognition, 10(4), 663–679. doi: 10.1037/0278-7393.10.4.663

Maki, R. H. & Serra, M. (1992). The basis of test predictions for text materials. Journal of Experimental Psychology: Learning, Memory, and Cognition, 18(1), 116–126. doi: 10.1037/0278-7393.18.1.116

Maki, R. H., & Swett, S. (1987). Metamemory for narrative text. Memory & Cognition, 15, 72-83. doi:10.3758/BF03197713

Marchand, G., & Gutierrez, A. (2012). The role of emotion in the learning process: Comparisons 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., & Gutierrez, A. (2017) Processes involving perceived instructional support, task value, and engagement in graduate education. The Journal of Experimental Education, 85(1), 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 Entwistle, N. J. (ed.), Strategies for research and development in higher education, (pp. 200-222). Swets and Zeitlenger.

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 visuospatial 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

Moshman, D. (2018). Metacognitive Theories Revisited. Educational Psychology Review, 30, 599–606. doi:10.1007/s10648-017-9413-7

McKeachie, W., & Svinicki, M. (2013). McKeachie’s Teaching Tips: Strategies, Research, and Theory for College and University Teachers. Wadsworth Cengage Learning.

Nelson, Thomas, & Narens, L. (1990). Metamemory: A theoretical framework and new findings. In The Psychology of Learning and Motivation. doi: 10.1016/S0079-7421(08)60053-5

Nelson, T. O., & Dunlosky, J. (1991). When people’s judgments of learning (JOLs) are extremely accurate at predicting subsequent recall: the “Delayed-JOL Effect”. Psychological 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 exercises 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 cognitive task: Impact of “on-line” metacognitive questions on neuropsychological performances in a non-clinical sample. Journal of the International Neuropsychological Society, 20(5), 547-554. doi:10.1017/S1355617714000290

Riding, R., & Cheema, I. (1991). Cognitive styles—An overview and integration. Educational Psychology, 11(3 & 4): 193–215.doi: 10.1080/0144341910110301

Rittschof, K. (2008). Field dependence–independence as visuospatial and executive functioning in working memory: implications for instructional systems design 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 information: Evidence for metacognitive illusions. Journal of Experimental Psychology: General, 137(4), 615-625. doi: 10.1037/a0013684

Rhodes, M. (2019). Metacognition. Teaching of Psychology, 46(2), 168-175. doi: 10.1177/0098628319834381

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.

Sawyer, K. (2014). The Cambridge handbook of the learning sciences. Cambridge University Press.

Schmeck, R. R. (1983). Learning style of college students. In Dillon, R. F., & Schmeck, R. R. (Eds.), Individual differences in cognition (pp. 233-279). Academic.

Schraw, G. (1998). Promoting general metacognitive awareness. Instructional Science, 26, 113–125. doi: 10.1023/A:1003044231033

Schraw, G. (2002). Promoting general metacognitive awareness. In H. Hartman (Ed.), Metacognition in learning and instruction: Theory, research and practice (pp. 3–16). Kluwer Academic.

Schraw, G. (2009). Measuring metacognitive judgments. In D. J. Hacker, J. Dunlosky, & A. Graesser (Eds.), Handbook of Metacognition in Education (pp. 415–429). Routledge.

Schraw, G., & Dennison, R. (1994). Assesing metacognitive awareness. Contemporany Educational Psychology, 19, 460–475.doi: 10.1006/ceps.1994.1033

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., & Moshman, D. (1995). Metacognitive theories. Educational Psychology Review, 7(4), 351–371.doi: 10.1007/BF02212307

Schraw, G., & Roedel, T. D. (1994). Test difficulty and judgment bias. Memory & Cognition, 22, 63–69. doi: 10.3758/BF03202762

Slavin, R. E. (2000). Educational psychology theory and practice. Allyn and bacon.

Sternberg, R. J., & Williams, W. M. (2002). Educational psychology. Allyn and Bacon.

Swe, M., & Saleh, I. (2010). New Science of learning: Exploring the future of education. In New Science of learning: cognition, computers and collaboration in education (pp. 593–604). Springer.

Tanaka, J. S., Panter, A., & Winterborne, W. C. (1988). Dimensions of the need for cognition: subscales and gender differences. Multivariate Behavioral Research, 23, 35–50. doi: 10.1207/s15327906mbr2301_2

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.

Thompson, M. M., Naccarato, M. E., Parker, K. C. H., & Moskowitz, G. B. (2001). The Personal Need for Structure (PNS) and Personal Fear of Invalidity (PFI) scales: Historical perspectives, present applications and future directions. In G. B. Moskowitz (Ed.), Cognitive social psychology: The Princeton symposium on the legacy and future of social cognition (pp. 19–39). Erlbaum.

Weber, N., Woodard, L., Williamson, P. (2013). Decision strategies and the confidence-accuracy relationship in face recognition. Journal Behavioral Decision Making, 26(2), 152.163. doi: 10.1002/bdm.1750

Winne, P. H., & Perry, N. E. (2000). Measuring self-regulated learning. In M. Boekaerts, P. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 531-566). Academic Press.

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). Psychological Differentiation, New York: Wiley.

Witkin, H., Goodenough, C., Donald, & Cox, P. (1977). Field dependent and field independent cognitive styles and their educational implications. Review of Educational Research, 47(1), 1-64.

Witkin, H. A., Oltman, P. K., Raskin, E., & Karp, S. A. (1971). Embedded Figures Test, Children’s Embedded Figures Test Manual. Consulting Psychologists Press.

Yates, J. (1990). Judgment and decision making. Prentice-Hall.

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 Associates.

Zhang, L. F., & Sternberg, R. (2009). Preface. In L. F. Zhang & R. J. Sternberg (Eds.), Perspectives on the nature of intellectual styles (pp. xi–xvi). Springer.

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

Zohar, A, & Dori, Y. (2012). Metacognition in science education. Trends in current research. Springer.

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2021-10-05

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Gutierrez de Blume, A. P., Montoya Londoño, D. M., & Hederich Martinez, C. (2021). An Exploratory Study of the Relation between Cognitive Style and Metacognitive Monitoring in a Sample of Colombian University Students. Psicología Desde El Caribe, 39(2). Recuperado a partir de https://rcientificas.uninorte.edu.co/index.php/psicologia/article/view/13432

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