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Abstract

The ability to make realistic judgements of one's performance is a demonstration of the possession of strong metacognitive skills. In this study we investigate the relationship between accuracy of self-evaluation as an expression of metacognitive skill, and learning gain in stoichiometry. The context is an academic development programme at a South African University offered for under-prepared students enrolled for science and engineering. These students generally exhibit unrealistically high levels of confidence in performance and this could potentially place them at risk by negatively affecting decisions regarding time management and self-regulation. We investigated whether overconfidence before instruction is corrected upon exposure to teaching. A three-tier stoichiometry test was used to collect qualitative and quantitative data before and after instruction. Findings indicate that the majority of the students were overconfident in the evaluation of their performance in both the pre- and posttests. Overconfidence was not a debilitating disposition when demonstrated in the pretest provided that it was corrected during teaching and learning. The most vulnerable students were those that judged their performance or lack thereof realistically in the pretest but became overconfident during the teaching and learning of stoichiometry. Our results suggest that under-prepared students are slow in developing accurate metacognitive monitoring skills within a classroom environment that did not include instruction focused on the development of such skills. We recommend a proactive and constructive response by educators which may reduce the incidence of failure and preserve the positive contribution of confidence, albeit excessively positive.
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... 32 Local judgments (confidence in individual answers) were measured rather than global judgments (overall test scores), as previous studies suggest higher reliability in metacognitive monitoring at the local level. 33 Metacognitive monitoring typically involves students expressing their confidence on a binary 7,34,35 or multipoint scale, 6,36,37 or using graphical elements like a line or smiley face(cf. 38,39 ) or analyzing students' written 40 or drawn 41,42 reflection. ...
... Confidence judgements (CJs) were used as indicator of metacognitive monitoring in general 31,47,48 as well as in chemistry education. 36,49,50 Confidence Judgments (CJs) are retrospective evaluations of performance that play a crucial role in the learning process, acting as significant indicators of success or failure. These judgments, inherently subjective, are pivotal in shaping an individual's expectations. ...
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... However, relatively few studies exist that employ alternate research designs. Exceptions to this include an investigation carried out in South Africa with a group of students of a basic chemistry course (Mathabathe, 2019;Mathabathe & Potgieter, 2014). Mathabathe and Potgieter (2014) sought to establish whether students' overconfidence before instruction was adjusted after instruction. ...
... Exceptions to this include an investigation carried out in South Africa with a group of students of a basic chemistry course (Mathabathe, 2019;Mathabathe & Potgieter, 2014). Mathabathe and Potgieter (2014) sought to establish whether students' overconfidence before instruction was adjusted after instruction. Results revealed that most of the students were too confident in their judgments of performance. ...
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... Meaning, top performers had lower perceived confidence compared to their actual confidence in the test. The findings of the study conformed to the result of Mathabathe and Potgieter (2014) in investigating the relationship between accuracy of confidence on self-evaluation and learning gain in stoichiometry. ...
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... Moreover, the previous study found that employing a metacognitive strategy is a practical approach to learning (Cengiz-Istanbullu & Sakiz, 2022;Mathabathe & Potgieter, 2014;Osterhage et al., 2019;Vemu et al., 2022). Self-assessment, a technique that enables students to evaluate their performance based on predetermined criteria, helps students identify their learning progress (Dang et al., 2018;Krebs et al., 2022;Zamora et al., 2016). ...
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This study examined the effects of a technology-enhanced intervention on the self-regulation of 262 eighth-grade students, employing information and communication technology (ICT) and web-based self-assessment tools set against science learning. The data were analyzed using both maximum likelihood and Bayesian structural equation modeling to unravel the intricate relationships between self-regulation, self-efficacy, perceptions of ICT, and self-assessment tools. Our research findings underscored the direct and indirect impacts of self-efficacy, perceived ease of use, and perceived use of technology on self-regulation. The results revealed the predictive power of self-assessment tools in determining self-regulation outcomes, underlining the potential of technology-enhanced self-regulated learning environments. The study posited the necessity to transcend mere technology incorporation and to emphasize the inclusion of monitoring strategies explicitly designed to augment self-regulation. Interestingly, self-efficacy appeared to indirectly influence self-regulation outcomes through perceived the use of technology rather than direct influence. Analytically, this research indicated that Bayesian estimation could offer a more comprehensive insight into structural equation modeling by more accurately assessing our estimates' uncertainty. This research substantially contributes to comprehending the influence of technology-enhanced environments on students' self-regulated learning, stressing the importance of constructing practical tools explicitly designed to cultivate self-regulation.
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People tend to hold overly favorable views of their abilities in many social and intellectual domains. The authors suggest that this overestimation occurs, in part, because people who are unskilled in these domains suffer a dual burden: Not only do these people reach erroneous conclusions and make unfortunate choices, but their incompetence robs them of the metacognitive ability to realize it. Across 4 studies, the authors found that participants scoring in the bottom quartile on tests of humor, grammar, and logic grossly overestimated their test performance and ability. Although their test scores put them in the 12th percentile, they estimated themselves to be in the 62nd. Several analyses linked this miscalibration to deficits in metacognitive skill, or the capacity to distinguish accuracy from error. Paradoxically, improving the skills of participants, and thus increasing their metacognitive competence, helped them recognize the limitations of their abilities.
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There is a growing theoretical and practical interest in the topic of metacognition; how we monitor and control our mental processes. Applied Metacognition provides a coherent and up-to-date overview of the relation between theories in metacognition and their application in real-world situations. As well as a theoretical overview, there are substantive chapters covering metacognition in three areas of application: metacognition in education, metacognition in everyday life memory and metacognition in different populations. A diverse range of topics are covered such as how we judge our own learning, why we create false beliefs about our past, how children learn to monitor and control their memory, how well eyewitnesses can judge the accuracy of their own memories and how memory judgements change across the lifespan. The book has contributions from many of the leading researchers in metacognition from around the world.
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Contributions by leading experts and others to understanding the crucial role of metacognition in relation to broad areas of education make this collection a uniquely stimulating book. It encompasses metacognition in both the neglected area of teaching and the more well-established area of learning. The twelve chapters contribute to our understanding of the construct of metacognition and to its role in both teaching and learning. It addresses domain-general and domain-specific aspects of metacognition, including applications to the particular subjects of reading, speaking, mathematics, and science. It is organized into four major sections which address metacognition in relation to students' learning, motivation, and culture; and to teachers' metacognition about instruction. This collection spans theory, research and practice related to metacognition in education at all school levels, from elementary through university. Dr. Robert J. Sternberg, IBM Professor of Psychology at Yale University, is the discussant.
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This chapter focuses on research program, providing a description of a theoretical framework that has evolved out of metamemory research, followed by a few remarks about the methodology. Research in metamemory is initiated by the paradoxical findings that people can accurately predict their subsequent likelihood of recognizing nonrecallable items and that they can quickly and accurately decide-on the basis of no more than a cursory search through memory-that they will not retrieve particular sought after items. Those findings lead to develop a methodology based on psychophysical methods that are used to empirically investigate people's feeling of knowing. The results of the experiments convinced that for dealing with only a part of a complex metacognitive system and to account adequately for feeling-of-knowing phenomena, a larger perspective was needed. This eventuated in the present theoretical framework that emphasizes the role of control and monitoring processes. The embedding of the feeling of knowing in a richer framework helped to dissipate the paradoxical nature of the feeling of knowing. The chapter discusses that today there are many capable, active investigators and a wealth of solid empirical findings.
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People feel they understand complex phenomena with far greater precision, coherence, and depth than they really do; they are subject to an illusion-an illusion of explanatory depth. The illusion is far stronger for explanatory knowledge than many other kinds of knowledge, such as that for facts, procedures or narratives. The illusion for explanatory knowledge is most robust where the environment supports real-time explanations with visible mechanisms. We demonstrate the illusion of depth with explanatory knowledge in Studies 1-6. Then we show differences in overconfidence about knowledge across different knowledge domains in Studies 7-10. Finally, we explore the mechanisms behind the initial confidence and behind overconfidence in Studies 11 and 12, and discuss the implications of our findings for the roles of intuitive theories in concepts and cognition. © 2002 Leonid Rozenblit. Published by Cognitive Science Society, Inc. All rights reserved.
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People tend to hold overly favorable views of their abilities in many social and intellectual domains. The authors suggest that this overestimation occurs, in part, because people who are unskilled in these domains suffer a dual burden: Not only do these people reach erroneous conclusions and make unfortunate choices, but their incompetence robs them of the metacognitive ability to realize it. Across 4 studies, the authors found that participants scoring in the bottom quartile on tests of humor, grammar, and logic grossly overestimated their test performance and ability. Although their test scores put them in the 12th percentile, they estimated themselves to be in the 62nd. Several analyses linked this miscalibration to deficits in metacognitive skill, or the capacity to distinguish accuracy from error. Paradoxically, improving the skills of the participants, and thus increasing their metacognitive competence, helped them recognize the limitations of their abilities. (PsycINFO Database Record (c) 2012 APA, all rights reserved)