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EDITORIAL article
Front. Dev. Psychol. , 11 March 2025
Sec. Cognitive Development
Volume 3 - 2025 | https://doi.org/10.3389/fdpys.2025.1579553
This article is part of the Research Topic Advances in Metacognition and Reflection View all 10 articles
Editorial on the Research Topic
Advances in metacognition and reflection
Metacognition, first coined in the literature in the 1970s by Flavell (1976) has been the focus of diverse disciplines (e.g., developmental, cognitive, and educational psychology, psychiatry, and criminal justice) because of its substantial, positive impact on development and learning in these fields. We know it is critical for greater and deeper learning and positive life outcomes (e.g., prisoner rehabilitation: Gois and Kane, 2025; academics: He et al., 2024; trauma-related treatment: Wiesepape et al., 2025) but we also know that it is rarely explicitly taught or fostered in formal or informal learning contexts and its development rarely occurs naturally. In fact, in Flavell's unveiling of this term, which has kept us all busy for many decades since, he focused not on its abundance but on how it is most conspicuous (and negatively impactful) in its absence:
“Resnick and Glaser's research provides us with some striking examples of children failing to solve problems for which they possess the necessary solution procedures. They ought to solve these problems, we think, and yet they do not. Why not? My own guess on the matter originates in the expected place, namely, the area in which I have done most of my recent research and thinking. This area is the development of metacognition.” (Flavell, 1976, p. 232).
Although the official unveiling of the term “metacognition” is relatively new (Flavell, 1976, 1979), there is a long history of references to similar concepts such as reflection or introspection, traces of which can be seen as far back as the musings of Plato, Aristotle, and Simonides. John Locke, in 1690, introduced greater specification by distinguishing “reflection” as a more important and privileged form of thinking than other forms or “sensations” that do not tend to produce “long-lasting ideas” or a deep, reflective type of cognitive processing. Furthermore, early educators such as John Dewey had similar ideas. In his Pedagogic Creed (Dewey, 1897), Dewey stated his belief that the learning process would be disorganized and unsystematic (and thus not “educative”) if left unexamined and that looking within one's psychological processes would lead to educative leverage. It is likely that the influx of behaviorism into the field of psychology and education in the early 20th century is related to the hiatus in the focus on research and theorizing about metacognition and reflection and, similarly, to the resurgence of this focus shortly after the shift from behaviorism to cognition with the “cognitive revolution” of the 1950s. This shift resulted in the consequential work of developmental psychologist Flavell and his contemporaries. The zeitgeist was substantial and led to a greater convergence and alliance between the fields of psychology and education, making this body of literature more interdisciplinary and, ultimately, leading to greater contextualization, developmental appropriateness, and ecological validity in the study of metacognition. The rapidly growing body of extant meta-reviews (e.g., Eberhart et al., 2025; He et al., 2024; Norman et al., 2019; Ohtani and Hisasaka, 2018) and primary research (e.g., Coughlin et al., 2022; Desoete and De Craene, 2019; Fu and Qi, 2025; Özçakmak et al., 2021) on metacognition and reflection provide robust evidence of their strong and unique predictive power for important outcomes. Although metacognitive processes have been studied for at least five decades, it is only in recent years that this investigation has included infancy and early childhood, with initially promising and, in 2025, robustly positive and strong results (e.g., Chen et al., 2023; Gourlay et al., 2020; Marulis and Nelson, 2021; van Loon and Roebers, 2024; Whitebread and Neale, 2020). This shift is not only developmentally inclusive but also has critical implications for improving developmental and life trajectories based on the greater cognitive malleability in the early years of development. This Research Topic further elucidates early childhood metacognitive processes contributing to a comprehensive understanding of their developmental trajectory.
Observing a set of family portraits, Sir Arthur Conan Doyle's fictional Sherlock Holmes, declaring himself a connoisseur of the arts, remarked on their high artistic quality and, ever the reflective thinker, continued to analyze his assessment of the portraits with the following: “I know what is good when I see it, and I see it now” (Doyle, 1902; p. 93). Perhaps the more known, definitely more modern, and non-fictional instance of this concept occurred in 1964 with U.S. Supreme Court Justice Potter Stewart's explanation of how he determined (i.e., measured) obscene material not protected under the First Amendment, which was essentially, “I know it when I see it.” At first glance, these statements elicit something nebulous without a defined set of characteristics, but the idea that “I” (seemingly referring to someone with expertise or authority over a matter) will be able to reliably identify this “something” is also powerful. In the case of this Research Topic, the “something” of focus–advancing our understanding of metacognition and reflection–is particularly important given the consistent, robust, and positive impact these skills have across development and types of learning. The inherent challenge, then, is to reverse engineer this knowledge into operationalized indicators. Since its debut in the literature, there have been calls for achieving a universally agreed-upon conceptualization of what “metacognition” is and is not. The challenges of this endeavor are as great as the rewards. On the one hand, the challenges and difficulties include contradictory findings and limited or no coherence; on the other hand, the benefits include convergent evidence across disparate methods and the emergence of a developmental trajectory for metacognition and reflection. To this end, we have seen decades of rigorous research yet, in some ways, we are no closer to a consensus. I suggest is that we direct our attention to a new charge: Rather than focusing on the struggle to achieve full unity, we focus on achieving conditional (contingent and adaptive), calibrated (precise), and unified (internally consistent) conceptualizations of metacognitive processes. Collaborative efforts such as this Research Topic reflect this type of pivot and represent metacognition for its complexity and strength.
In the Editorial of a previous Research Topic on metacognition in the International Electronic Journal of Elementary Education (Desoete and Özsoy, 2009), capturing metacognition was compared to the murkiness of Scotland's Loch Ness monster. For the sake of argument, I will posit that the authors of this Editorial were referring to the sightings (i.e., measurements) of the popular “monster” that are purported to have begun in 565 AD. In this case, it follows that there is something there; something is being seen (previous scientific explanations include boat wakes and other sea creatures such as large eels or water birds, and non-scientific explanations include mythology and intentional hoaxes) and perhaps some would say they would “know it when they see it.”
Metacognition was first conceptualized (in the 1970s) as “thinking about thinking,” or metacognitive knowledge followed by the addition of regulation of cognition (Brown, 1978, 1987), monitoring and control (Nelson and Narens, 1990) and more recently, motivational, and affective processes (Efklides, 2011). In practice, these conceptualizations translated into a 3-part skill set (plan, monitor, evaluate) (Fogarty, 1994). Their culmination is a broad conceptual agreement of metacognition as the knowledge, regulation, and monitoring of cognitive processes.
An apt analogy for the measurement of metacognition can also be found in black holes within the domain of the physical sciences. The history of the study of black holes has moved from mathematics to physics and from theory (general relativity) to simulations and experiments to telescopic evidence (Oldham and Auger, 2016). Similarly, the study of metacognition has evolved from an abstract conceptualization of the existence of “something” that was hard to pin down but had clear effects to the emergence of (sometimes contradictory) theories and models to the use of more precise and comprehensive measurement tools such as systematic observational coding protocols, computer hardware and software, eye-tracking, and electroencephalogram (EEG). Through these advances, like black holes that have powerful interactions with things around them but can only be seen with special equipment, we have not only been able to fine-tune and calibrate the conceptualization and measurement of metacognitive processes but have also gained a much deeper understanding of their importance for to successful learning and other life outcomes. In both cases, as measurement tools and methods have advanced, so have our understandings and applications.
Specific analogical comparisons between metacognition and black holes or the folklore of the Loch Ness monster may be a bridge too far; nonetheless, these converging ideas across disparate spheres underlie the concept of the existence of an important and impactful “something” (e.g., quality of art; obscenity; Nessie; black holes; metacognition). The important point here is the abstraction of an increasingly measurable “something” at the core of its domain. As important as art or black holes are to segments of society, so are metacognitive processes. The core aim of this Advances in Metacognition and Reflection Research Topic of Frontiers in Developmental Psychology was to build on this foundation and endeavor to fill existing gaps in the past four decades of research on metacognitive processes with a chief focus on reflective processes. As is representative of the literature on metacognition and reflection, the articles in this Research Topic employ diverse theoretical frameworks, methods, and developmental periods yet converge in one critical way: positive and moderate to strong associations and predictions of metacognition and reflection across developmental outcomes, contexts, and perspectives (Table 1). The key contributions thus lie in the elucidation and parsing of specific metacognitive components; the what, why, how, when, and for whom of detecting effects. In this way, we take a metacognitive approach to the study of metacognition. As we clarify and precisely investigate the conceptualization, operationalization, and measurement of metacognition and its subcomponents, its shape and form will become less amorphous, and we will not only vaguely “know it when we see it” but we will also be able to precisely identify and explicate its elements, associations, and impacts (see Terneusen et al., 2024). Achieving such conditional, calibrated, unified metacognition has important implications at both the basic (creating new knowledge) and applied (teaching, interventions, policies) levels across development, contexts, and individuals, resulting in more efficient and adaptive learning and successful developmental and life outcomes.
Table 1. Advancing and calibrating our understanding of metacognition and reflection: important characteristics and findings of nine Research Topic articles.
LM: Writing – original draft, Writing – review & editing.
The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Brown, A. (1987). “Metacognition, executive control, self-regulation, and other mysterious mechanisms,” in Metacognition, Motivation, and Understanding, eds. F. E. Weinert and R. H. Kluwe (Hillsdale, NJ: Lawrence Erlbaum Associates), 65–116.
Brown, A. L. (1978). “Knowing when, where, and how to remember: a problem of metacognition,” in Advances in Instructional Psychology, ed. R. Glaser (Hillsdale, NJ: Lawrence Erlbaum Associates), 77–165.
Chen, S., Guo, M., and Dousay, T. A. (2023). Grow to learn: a metacognitive approach to early childhood teachers' science professional development. Res. Sci. Technol. Educ. 2023, 1–21. doi: 10.1080/02635143.2023.2279076
Coughlin, C., Prabhakar, J., D'Esposito, Z., Thigpen, B., and Ghetti, S. (2022). Promoting future-oriented thought in an academic context. Cogn. Dev. 62:101183. doi: 10.1016/j.cogdev.2022.101183
Desoete, A., and De Craene, B. (2019). Metacognition and mathematics education: an overview. ZDM Mathem. Educ. 51, 565–575. doi: 10.1007/s11858-019-01060-w
Desoete, A., and Özsoy, G. (2009). Introduction: metacognition, more than the Loch Ness monster? Int. Electr. J. Element. Educ. 2, 1–6.
Eberhart, J., Ingendahl, F., and Bryce, D. (2025). Are metacognition interventions in young children effective? Evidence from a series of meta-analyses. Metacogn. Learn. 20, 1–45. doi: 10.1007/s11409-024-09405-x
Efklides, A. (2011). Interactions of metacognition with motivation and affect in self-regulated learning: the MASRL model. Educ. Psychol. 46, 6–25. doi: 10.1080/00461520.2011.538645
Flavell, J. H. (1976). “Metacognitive aspects of problem solving,” in The Nature of Intelligence, ed. L. B. Resnick (Hillsdale, NJ: Erlbaum), 231–236. doi: 10.4324/9781032646527-16
Flavell, J. H. (1979). Metacognition and cognitive monitoring: a new area of cognitive developmental inquiry. Am. Psychol. 34, 906–911. doi: 10.1037/0003-066X.34.10.906
Fogarty, R. (1994). The Mindful School: How to Teach for Metacognitive Reflection. Palatine: IRI/Skylight Publishing, Inc.
Fu, Y., and Qi, C. (2025). The relationship between metacognitive skills and mathematics achievement of Chinese eighth-grade students. Curr. Psychol. 2024, 1–12. doi: 10.1007/s12144-024-07216-6
Gois, I., and Kane, E. (2025). Metacognition, philosophy in prisons and the demands of rehabilitation. Howard J. Crime Just. 12:592. doi: 10.1111/hojo.12592
Gourlay, C., Mushin, I., and Gardner, R. (2020). Young children's responses to teachers' metacognitive questions. Int. J. Early Years Educ. 2020, 1–20. doi: 10.1080/09669760.2020.1742671
He, G., Lin, H., and Su, A. (2024). Longitudinal and reciprocal links between metacognition, mathematical modeling competencies, and mathematics achievement in grades 7–8: a cross-lagged panel analysis. Metacogn. Learn. 19, 967–995. doi: 10.1007/s11409-024-09397-8
Marulis, L. M., and Nelson, L. J. (2021). Metacognitive processes and associations to executive function and motivation during a problem-solving task in 3–5-year-olds. Metacogn. Learn. 16, 207–231. doi: 10.1007/s11409-020-09244-6
Nelson, T. O., and Narens, L. (1990). “Metamemory: A theoretical framework and new findings,” in The psychology of learning and motivation: Advances in research and theory, ed. G. H. Bower (London: Academic Press), 125–173. doi: 10.1016/S0079-7421(08)60053-5
Norman, E., Pfuhl, G., Saele, R., Svartdal, F., Låg, T., and Dahl, T. (2019). Metacognition in psychology. Rev. General Psychol. 23, 403–424. doi: 10.1177/1089268019883821
Ohtani, K., and Hisasaka, T. (2018). Beyond intelligence: a meta-analytic review of the relationship among metacognition, intelligence, and academic performance. Metacogn. Lear. 13, 179–212. doi: 10.1007/s11409-018-9183-8
Oldham, L. J., and Auger, M. W. (2016). Galaxy structure from multiple tracers–II. M87 from parsec to megaparsec scales. Mon. Not. R. Astron. Soc. 457, 421–439. doi: 10.1093/mnras/stv2982
Özçakmak, H., Köroglu, M., Korkmaz, C., and Bolat, Y. (2021). The effect of metacognitive awareness on academic success. African Educ. Res. J. 9, 434–448. doi: 10.30918/AERJ.92.21.020
Terneusen, A., Quaedflieg, C., van Heugten, C., Ponds, R., and Winkens, I. (2024). The many facets of metacognition: comparing multiple measures of metacognition in healthy individuals. Metacogn. Learn. 19, 53–63. doi: 10.1007/s11409-023-09350-1
van Loon, M., and Roebers, C. M. (2024). Development of metacognitive monitoring and control skills in elementary school: a latent profile approach. Metacogn. Learn. 19, 1065–1089. doi: 10.1007/s11409-024-09400-2
Whitebread, D., and Neale, D. (2020). Metacognition in early child development. Transl. Issues Psychol. Sci. 6:8. doi: 10.1037/tps0000223
Keywords: metacognition, reflection, cognitive development, learning, developmental psychology, educational psychology
Citation: Marulis LM (2025) Editorial: Advances in metacognition and reflection. Front. Dev. Psychol. 3:1579553. doi: 10.3389/fdpys.2025.1579553
Received: 19 February 2025; Accepted: 24 February 2025;
Published: 11 March 2025.
Edited and reviewed by: Angeline S. Lillard, University of Virginia, United States
Copyright © 2025 Marulis. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Loren M. Marulis, bG9yZW4ubWFydWxpc0BnbWFpbC5jb20=
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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