In this paper, we inquire into possible differences between children with exceptionally high intellectual abilities and their average peers as regards metacognitive monitoring and related metacognitive strategies. The question whether gifted children surpass their typically developing peers not only in the intellectual abilities, but also in their level of metacognitive skills, has not been convincingly answered so far. We sought to examine the indicators of metacognitive behavior by means of eye-tracking technology and to compare these findings with the participants' subjective confidence ratings. Eye-movement data of gifted and average students attending final grades of primary school (4th and 5th grades) were recorded while they dealt with a deductive reasoning task, and four metrics supposed to bear on metacognitive skills, namely the overall trial duration, mean fixation duration, number of regressions and normalized gaze transition entropy, were analyzed. No significant differences between gifted and average children were found in the normalized gaze transition entropy, in mean fixation duration, nor - after controlling for the trial duration - in number of regressions. Both groups of children differed in the time devoted to solving the task. Both groups significantly differed in the association between time devoted to the task and the participants' subjective confidence rating, where only the gifted children tended to devote more time when they felt less confident. Several implications of these findings are discussed.

Masaryk University Brno Czechia

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Alemdag, E., & Cagiltay, K. (2018). A systematic review of eye tracking research on multimedia learning. Computers & Education, 125, 413–428. 10.1016/j.compedu.2018.06.023 DOI

Alexander, J. M., Carr, M., & Schwanenflugel, P. J. (1995). Development of metacognition in gifted children: Directions for future research. Developmental Review, 15(1), 1–37. 10.1006/drev.1995.1001 DOI

Alexander, J. M., Johnson, K. E., Albano, J., Freygang, T., & Scott, B. (2006). Relations between intelligence and the development of metaconceptual knowledge. Metacognition and Learning, 1(1), 51–67. 10.1007/s11409-006-6586-8 DOI

Alexander, J. M., & Schwanenflugel, P. J. (1996). Development of metacognitive concepts about thinking in gifted and nongifted children: Recent research. Learning and Individual Differences, 8(4), 305–325. 10.1016/S1041-6080(96)90021-7 DOI

Allon, M., Gutkin, T. B., & Bruning, R. (1994). The relationship between metacognition and intelligence in normal adolescents: Some tentative but surprising findings. Psychology in the Schools, 31(2), 93–97. 10.1002/1520-6807(199404)31:2<93:AID-PITS2310310202>3.0.CO;2-X 10.1002/1520-6807(199404)31:2<93::AID-PITS2310310202>3.0.CO;2-X DOI

Altman, D. G., & Royston, P. (2006). The cost of dichotomising continuous variables. BMJ (Clinical Research Ed.), 332(7549), 1080. 10.1136/bmj.332.7549.1080 PubMed DOI PMC

Andrzejewska, M., & Stolińska, A. (2016). Comparing the difficulty of tasks using eye tracking combined with subjective and behavioural criteria. Journal of Eye Movement Research, 9(3). Advance online publication. 10.16910/jemr.9.3.3 DOI

Barrouillet, P., Gauffroy, C., & Lecas, J.-F. (2008). Mental models and the suppositional account of conditionals. Psychological Review, 115(3), 760–771. 10.1037/0033-295X.115.3.760 PubMed DOI

Beran, M. J., Brandl, J. L., Perner, J., & Proust, J. (Eds.). (2012). Foundations of metacognition. Oxford University Press. 10.1093/acprof:oso/9780199646739.001.0001 DOI

Bicknell, K., & Levy, R. (2010, July). A rational model of eye movement control in reading. In Proceedings of the 48th annual meeting of the Association for Computational Linguistics (pp. 1168-1178).

Brody, L. E., & Stanley, J. C. (2005). Youths who reason exceptionally well mathematically and/or verbally. In Sternberg R. J. & Davidson J. E. (Eds.),. Conceptions of giftedness (pp. 20–37). Cambridge University Press. 10.1017/CBO9780511610455.003 DOI

Bucciarelli, M., Mackiewicz, R., Khemlani, S. S., & Johnson-Laird, P. N. (2018). Simulation in children’s conscious recursive reasoning. Memory & Cognition, 46(8), 1302–1314. 10.3758/s13421-018-0838-0 PubMed DOI

Campbell, G. P., & Curran, J. M. (2009). The interpretation of elemental composition measurements from forensic glass evidence III. Science & Justice, 49(1), 2–7. 10.1016/j.scijus.2008.09.001 PubMed DOI

Carr, M., & Taasoobshirazi, G. (2008). Metacognition in the gifted: Connections to expertise. In Shaughnessy M. F., Veenman M. V. J., & Kleyn-Kennedy C. (Eds.),. Meta-Cognition: A recent review of research, theory and perspectives (pp. 109–125). Nova Science Publishers.

Cattell, R. B., &Weiß, R. H. (2015). Cattellův test fluidní intelligence CFT 20-R. Prvníčeskévydání. [Cattell’s test of fluid intelligence CFT 20-R. First Czech Edition]. Hogrefe – Tescentrum.

Curran, J. M. (2016). Hotelling. R package version 1.0-5.

Das, J. P., Naglieri, J. A., & Kirby, J. R. (1994). Assessment of cognitive processes: The PASS theory of intelligence. Allyn & Bacon.

Elshout, J. J., & Veenman, M. V. (1992). Relation between intellectual ability and working method as predictors of learning. The Journal of Educational Research, 85(3), 134–143. 10.1080/00220671.1992.9944429 DOI

Fleming, S. M., & Frith, C. D. (2014). The cognitive neuroscience of metacognition. Springer. 10.1007/978-3-642-45190-4 DOI

Gauffroy, C., & Barrouillet, P. (2009). Heuristic and analytic processes in mental models for conditional: An integrative developmental theory. Developmental Review, 29, 249–282. 10.1016/j.dr.2009.09.002 DOI

Georgiou, G. K., Guo, K., Naveenkumar, N., Vieira, A. P. A., & Das, J. P. (2020). PASS theory of intelligence and academic achievement: A metaanalytic review. Intelligence, 79, 101431. 10.1016/j.intell.2020.101431 DOI

Glass, G., & Hopkins, K. (1996). Statistical methods in education and psychology. Allyn & Bacon.

Goodwin, G. P., & Johnson-Laird, P. N. (2005). Reasoning about relations. Psychological Review, 112(2), 468–493. 10.1037/0033-295X.112.2.468 PubMed DOI

Greene, J. A., Moos, D. C., Azevedo, R., & Winters, F. I. (2008). Exploring differences between gifted and grade-level students’ use of self-regulatory learning processes with hypermedia. Computers & Education, 50(3), 1069–1083. 10.1016/j.compedu.2006.10.004 DOI

Hacker, D. J., Dunlosky, J., & Graesser, A. C. (Eds.). (2009). Handbook of metacognition in education. Routledge. 10.4324/9780203876428 DOI

Hattori, M. (2016). Probabilistic representation in syllogistic reasoning: A theory to integrate mental models and heuristics. Cognition, 157, 296–320. 10.1016/j.cognition.2016.09.009 PubMed DOI

Hayes, T. R., Petrov, A. A., & Sederberg, P. B. (2011). A novel method for analyzing sequential eye movements reveals strategic influence on Raven’s Advanced Progressive Matrices. Journal of Vision (Charlottesville, Va.), 11(10), 1–11.. 10.1167/11.10.10 PubMed DOI

Helms-Lorenz, M., & Jacobse, A. E. (2008). Metacognitive skills of the gifted from a cross-cultural perspective. In Shaughnessy M. F., Veenman M. V. J., & Kleyn-Kennedy C. (Eds.),. Meta-Cognition: A recent review of research, theory, and perspectives (pp. 3–43). Nova Science Publishers.

Hessels, R. S., Kemner, C., van den Boomen, C., & Hooge, I. T. (2016). The area-of-interest problem in eyetracking research: A noise-robust solution for face and sparse stimuli. Behavior Research Methods, 48(4), 1694–1712. 10.3758/s13428-015-0676-y PubMed DOI PMC

Hogan, M. J., Dwyer, C. P., Harney, O. M., Noone, C., & Conway, R. J. (2015). Metacognitive skill development and applied systems science: A framework of metacognitive skills, self-regulatory functions and real-world applications. In Peña-Ayala A. (Ed.),. Metacognition: Fundaments, applications, and trends (pp. 75–106). Springer.

Holmqvist, K., Nyström, M., Andersson, R., Dewhurst, R., Jarodzka, H., & Van de Weijer, J. (2011). Eye tracking: A comprehensive guide to methods and measures. Oxford University Press.

Johnson-Laird, P. N. (2006). How we reason. Oxford University Press.

Johnson-Laird, P. N. (2010). Mental models and human reasoning. Proceedings of the National Academy of Sciences of the United States of America, 107(43), 18243–18250. 10.1073/pnas.1012933107 PubMed DOI PMC

Johnson-Laird, P. N., & Byrne, R. M. J. (1991). Deduction. Lawrence Erlbaum Associates, Inc.

Kinnunen, R., & Vauras, M. (1995). Comprehension monitoring and the level of comprehension in high-and low-achieving primary school children’s reading. Learning and Instruction, 5(2), 143–165. 10.1016/0959-4752(95)00009-R DOI

Kinnunen, R., & Vauras, M. (2010). Tracking online metacognition: monitoring and regulating comprehension in reading. In Efklides A. & Misailidi P. (Eds.),. Trends and prospects in metacognition research (pp. 209–229). Springer. 10.1007/978-1-4419-6546-2_10 DOI

Markovits, H. (2000). A mental model analysis of young children’s conditional reasoning with meaningful premises. Thinking & Reasoning, 6(4), 335–347. 10.1080/135467800750038166 DOI

Markovits, H. (2018). The development of logical reasoning. In Ball L. J. & Thompson V. A. (Eds.),. International handbook of thinking and reasoning (pp. 383–400). Routledge.

Markovits, H., Brisson, J., & de Chantal, P. L. (2016). How do pre-adolescent children interpret conditionals? Psychonomic Bulletin & Review, 23(6), 1907–1912. 10.3758/s13423-016-1050-5 PubMed DOI

Mason, L., Pluchino, P., & Tornatora, M. C. (2015). Eye-movement modeling of integrative reading of an illustrated text: Effects on processing and learning. Contemporary Educational Psychology, 41, 172–187. 10.1016/j.cedpsych.2015.01.004 DOI

Mason, L., Tornatora, M. C., & Pluchino, P. (2013). Do fourth graders integrate text and picture in processing and learning from an illustrated science text? Evidence from eye-movement patterns. Computers & Education, 60(1), 95–109. 10.1016/j.compedu.2012.07.011 DOI

McClain, M. C., & Pfeiffer, S. (2012). Identification of gifted students in the United States today: A look at state definitions, policies, and practices. Journal of Applied School Psychology, 28(1), 59–88. 10.1080/15377903.2012.643757 DOI

McGuire, S. Y. (2015). Teach students how to learn: Strategies you can incorporate into any course to improve student metacognition, study skills, and motivation. Stylus Publishing, LLC.

Missett, T., & McCormick, K. (2014). Conceptions of giftedness. In Plucker J. A. & Callahan C. M. (Eds.),. Critical issues and practices in gifted education (pp. 143–157). Prufrock Press.

Naglieri, J. A., & Otero, T. M. (2017). Essentials of CAS2 assessment. John Wiley & Sons.

Nietfeld, J. L., Cao, L., & Osborne, J. W. (2005). Meta-cognitive monitoring accuracy and student performance in the postsecondary classroom. Journal of Experimental Education, 74(1), 7–28.

Peña-Ayala, A., & Cárdenas, L. (2015). A conceptual model of the metacognitive activity. In Peña-Ayala A. (Ed.),. Metacognition: Fundaments, applications, and trends (pp. 39–72). Springer.

Pfeiffer, S. I. (2013). Serving the gifted: Evidence-based clinical and psychoeducational practice. Routledge.

Pinker, S. (2009). How the mind works. Penguin Books.

Popelka, S. (2018). Eye-tracking (nejen) v kognitivníkar-tografii: praktickýprůvodcetvorbou a vyhodno-cenímexperimentu. [Eye-tracking in Cognitive Cartography and Other Fields: A Practical Guide to Designing and Interpretation of an Experiment]. Univerzita-Palackého v Olomouci.

Popelka, S., Stachoň, Z., Šašinka, Č., & Doležalová, J. (2016). EyeTribe tracker data accuracy evaluation and its interconnection with hypothesis software for cartographic purposes. Computational Intelligence and Neuroscience, 2016, 9172506. Advance online publication. 10.1155/2016/9172506 PubMed DOI PMC

Portešová, Š., Straka, O., Veenman, M. V., Lacko, D., Šašinka, Č., &Jabůrek, M. (2021). Learning strategies in gifted students with low and high levels of meta-cognition: An eye-tracking study. [Under review].

Prins, F. J., Veenman, M. V., & Elshout, J. J. (2006). The impact of intellectual ability and metacognition on learning: New support for the threshold of problematicity theory. Learning and Instruction, 16(4), 374–387. 10.1016/j.learninstruc.2006.07.008 DOI

Rayner, K. (2009). Eye movements and attention in reading, scene perception, and visual search. Quarterly Journal of Experimental Psychology, 62(8), 1457–1506. 10.1080/17470210902816461 PubMed DOI

Roderer, T., & Roebers, C. M. (2014). Can you see me thinking (about my answers)? Using eye-tracking to illuminate developmental differences in monitoring and control skills and their relation to performance. Metacognition and Learning, 9(1), 1–23. 10.1007/s11409-013-9109-4 DOI

Sastre-Riba, S. (2014). Intervención psicoeducativa en la alta capacidad: Funcionamiento intelectual y enriquecimiento extracurricular. [Psychoeducational intervention in high ability: intellectual functioning and extracurricular enrichment]. Revista de Neurología, 58(Suppl 1), S89–S98. 10.33588/rn.58S01.2014030 PubMed DOI

Schaeken, W., Vandierendonck, A., Schroyens, W., d’Ydewalle, G., & Klauer, K. C. (Eds.). (2013). The mental models theory of reasoning: Refinements and extensions. Psychology Press. 10.4324/9780203774809 DOI

Schmidt, G. (2011). Relational mathematics. Cambridge University Press.

Schneider, W., & Pressley, M. (2013). Memory development between two and twenty. Psychology Press. 10.4324/9780203774496 DOI

Schotter, E. R., Tran, R., & Rayner, K. (2014). Don’t believe what you read (only once): Comprehension is supported by regressions during reading. Psychological Science, 25(6), 1218–1226. 10.1177/0956797614531148 PubMed DOI

Schraw, G. (2009). Measuring Metacognitive Judgments. In Hacker D. J., Dunlosky J., & Graesser A. C. (Eds.),. Handbook of metacognition in education (pp. 415–429). Routledge.

Schraw, G., & Gutierrez, A. P. (2015). Metacognitive strategy instruction that highlights the role of monitoring and control processes. In Peña-Ayala A. (Ed.),. Metacognition: Fundaments, applications, and trends (pp. 3–16). Springer.

Schwanenflugel, P. J., Paige Moore Stevens, T., & Carr, M. (1997). Metacognitive knowledge of gifted children and nonidentified children in early elementary school. Gifted Child Quarterly, 41(2), 25–35. 10.1177/001698629704100204 DOI

Shiferaw, B., Downey, L., & Crewther, D. (2019). A review of gaze entropy as a measure of visual scanning efficiency. Neuroscience and Biobehavioral Reviews, 96, 353–366. 10.1016/j.neubiorev.2018.12.007 PubMed DOI

Siegle, D., & McCoach, D. B. (2018). Underachievement and the gifted child. In Pfeiffer S. I., Shaunessy-Dedrick E. E., & Foley-Nicpon M. E. (Eds.),. APA handbook of giftedness and talent (pp. 559–573). American Psychological Association. 10.1037/0000038-036 DOI

SMI RED250 [Apparatus and software] (2014). Senso-Motoric Instruments.

Snyder, K. E., Nietfeld, J. L., & Linnenbrink-Garcia, L. (2011). Giftedness and metacognition: A short-term longitudinal investigation of metacognitive monitoring in the classroom. Gifted Child Quarterly, 55(3), 181–193. 10.1177/0016986211412769 DOI

van der Henst, J. B. (2002). Mental model theory versus the inference rule approach in relational reasoning. Thinking & Reasoning, 8(3), 193–203. 10.1080/13546780244000024 DOI

van der Stel, M., & 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, 117–137. 10.1007/s10212-013-0190-5 DOI

van Gog, T., & Jarodzka, H. (2013). Eye tracking as a tool to study and enhance cognitive and metacognitive processes in computer-based learning environments. In Azevedo R. & Aleven V. (Eds.),. International handbook of metacognition and learning technologies (pp. 143–156). Springer. 10.1007/978-1-4419-5546-3_10 DOI

Veenman, M. V. J. (2008). Giftedness: Predicting the speed of expertise acquisition by intellectual ability and metacognitive skillfulness of novices. In Shaughnessy M. F., Veenman M. V. J., & Kleyn-Kennedy C. (Eds.),. Meta-Cognition: A recent review of research, theory, and perspectives (pp. 207–220). Nova Science Publishers.

Veenman, M. V. J. (2013). Training metacognitive skills in students with availability and production deficiencies. In Bembenutty H., Cleary T., & Kitsantas A. (Eds.),. Applications of Self-Regulated Learning across diverse disciplines: A tribute to Barry J. Zimmerman (pp. 299–324). Information Age Publishing.

Veenman, M. V. J. (2015). Metacognition. In Afflerbach P. (Ed.),. Handbook of individual differences in reading: Reader, text, and context (pp. 26–40). Routledge.

Veenman, M. V. J. (2015). Metacognition: ‘Know thy-self’. Use that knowledge especially to regulate your own behavior. De Psycholoog, 50 (special ed.), 8-18.

Veenman, M. V. J. (2017). Learning to self-monitor and self-regulate. In Mayer R. & Alexander P. (Eds.),. Handbook of research on learning and instruction (2nd revised edition, pp. 233–257). Routledge.

Veenman, M. V., & Spaans, M. A. (2005). Relation between intellectual and metacognitive skills: Age and task differences. Learning and Individual Differences, 15(2), 159–176. 10.1016/j.lindif.2004.12.001 DOI

Veenman, M. V., & van Cleef, D. (2019). Measuring metacognitive skills for mathematics: Students’ self-reports versus on-line assessment methods. ZDM Mathematics Education, 51(4), 691–701. 10.1007/s11858-018-1006-5 DOI

Veenman, M. V., van Hout-Wolters, B. H., & Afflerbach, P. (2006). Metacognition and learning: Conceptual and methodological considerations. Metacognition and Learning, 1(1), 3–14. 10.1007/s11409-006-6893-0 DOI

Vosskühler, A., Nordmeier, V., Kuchinke, L., & Jacobs, A. M. (2008). OGAMA (Open Gaze and Mouse Analyzer): Open-source software designed to analyze eye and mouse movements in slideshow study designs. Behavior Research Methods, 40(4), 1150–1162. 10.3758/BRM.40.4.1150 PubMed DOI

Weiss, A. F. (2020). The information gathering framework - a cognitive model of regressive eye movements during reading. Journal of Eye Movement Research, 13(4). Advance online publication. 10.16910/jemr.13.4.4 PubMed DOI PMC

Young, A. E., & Worrell, F. C. (2018). Comparing metacognition assessments of mathematics in academically talented students. Gifted Child Quarterly, 62(3), 259–275. 10.1177/0016986218755915 DOI