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Direct linkAllison J. Jaeger; Logan Fiorella – Metacognition and Learning, 2024
Prior research suggests most students do not glean valid cues from provided visuals, resulting in reduced metacomprehension accuracy. Across 4 experiments, we explored how the presence of instructional visuals affects students' metacomprehension accuracy and cue-use for different types of metacognitive judgments. Undergraduates read texts on…
Descriptors: Cues, Visual Stimuli, Comprehension, Metacognition
Ezgi Melisa Yüksel; C. Shawn Green; Haley A. Vlach – Metacognition and Learning, 2024
When students are left to choose their own approaches to studying, they frequently engage in ineffective learning strategies, such as rereading textbooks or cramming. Given this natural tendency amongst students, there has been significant interest in how to increase the use of more effective methods of studying. Efforts to-date have typically…
Descriptors: Teaching Methods, Metacognition, Intervention, Outcomes of Education
Jennifer Knellesen; Marion Händel; Stefanie Golke – Metacognition and Learning, 2024
Learning from texts means acquiring and applying knowledge, which requires students to judge their text comprehension accurately. However, students usually overestimate their comprehension, which can be caused by a misalignment between the cues used to judge one's comprehension and the cognitive requirements of future test questions. Therefore,…
Descriptors: Reading Instruction, Preservice Teachers, Teacher Attitudes, Cues
Yu, Shi; Zhang, Fengjiao; Nunes, Ludmila D. – Metacognition and Learning, 2023
Metamotivational knowledge is a burgeoning area of study. It refers to people's knowledge about motivation, and it has been shown to contribute to motivation and behavioral outcomes. The current study bridges metamotivational knowledge with self-determination theory (SDT), one of the most prominent theories of academic motivation. SDT proposes…
Descriptors: Metacognition, Self Determination, Academic Achievement, Student Motivation
Li, Xiaomiao; Lindsay, Brittany L.; Szeto, Andrew C. H.; Dobson, Keith S. – Metacognition and Learning, 2023
The Dunning-Kruger (DK) effect is a form of meta-ignorance of knowledge (Kruger & Dunning, "Journal of Personality and Social Psychology," 77(6), 121-1134, 1999) that has not been explored regarding mental illness public stigma. The current study examined the DK effect in this field by comparing participants' actual stigma (measured…
Descriptors: Mental Disorders, Social Bias, Undergraduate Students, Feedback (Response)
Teng, Mark Feng; Yue, Mei – Metacognition and Learning, 2023
The present study adopted the structural equation modeling approach to examine Chinese university students' metacognition, critical thinking skills, and academic writing. In particular, this research explored whether awareness in metacognition can foster critical thinking and, thus, lead to enhancement in academic writing. The measure for…
Descriptors: Foreign Countries, College Students, Academic Language, Metacognition
Tuononen, Tarja; Hyytinen, Heidi; Räisänen, Milla; Hailikari, Telle; Parpala, Anna – Metacognition and Learning, 2023
The present study aims to deepen our understanding of the relationship between metacognitive awareness and approaches to learning in a multidisciplinary context of higher education using a person-oriented approach. The participants in the present study were 462 third year students of humanities, social sciences and theology. The students filled in…
Descriptors: Metacognition, College Students, Profiles, Cognitive Style
Zheng, Juan; Lajoie, Susanne P.; Li, Shan; Wu, Hongbin – Metacognition and Learning, 2023
Academic emotions play an important and complex role in self-regulated learning (SRL). However, few studies have examined how academic emotions unfold in different phases of SRL and how the changes in these emotions influence learning performance. The current study examines 98 students' academic emotion trajectories and profiles across the three…
Descriptors: Independent Study, Psychological Patterns, Problem Solving, Learning Processes
Wiedbusch, Megan; Lester, James; Azevedo, Roger – Metacognition and Learning, 2023
Pedagogical agents have been designed to support the significant challenges that learners face when self-regulating in advanced learning environments. Evidence suggests differences in learners' prior skills and abilities, in conjunction with excessive didactic support, can cause overreliance on these external aids, which in turn prevents deeper…
Descriptors: Measurement Techniques, Metacognition, Learning Processes, Nonverbal Communication
Gutierrez de Blume, Antonio P.; Montoya Londoño, Diana Marcela; Daset, Lilián; Cuadro, Ariel; Molina Delgado, Mauricio; Morán Núñez, Olivia; García de la Cadena, Claudia; Beltrán Navarro, María Beatríz; Arias Trejo, Natalia; Ramirez Balmaceda, Ana; Jiménez Rodríguez, Virginia; Puente Ferreras, Aníbal; Urquijo, Sebastián; Arias, Walter Lizandro; Rivera, Laura Inés; Schulmeyer, Marion; Rivera-Sanchez, Jesus – Metacognition and Learning, 2023
A deeper understanding of what factors influence metacognition has never become more pressing than in today's digital era, in which information flows constantly and quickly. To this end, the present study explored the role of culture in mediating how individuals experience metacognitive phenomena. For this purpose, the International Group on…
Descriptors: Metacognition, Spanish Speaking, Cross Cultural Studies, Measures (Individuals)
Çini, Ahsen; Järvelä, Sanna; Dindar, Muhterem; Malmberg, Jonna – Metacognition and Learning, 2023
Metacognitive awareness is knowing about learners' own thinking and learning, facilitated by introspection and self-evaluation. Although metacognitive functions are personal, they cannot be explained simply by individual conceptions, especially in a collaborative group learning context. This study considers metacognitive awareness on multiple…
Descriptors: Metacognition, Video Technology, Measures (Individuals), Problem Solving
Froese, Linda; Roelle, Julian – Metacognition and Learning, 2023
In acquiring new conceptual knowledge, learners often engage in the generation of examples that illustrate the to-be-learned principles and concepts. Learners are, however, bad at judging the quality of self-generated examples, which can result in suboptimal regulation decisions. A promising means to foster judgment accuracy in this context is…
Descriptors: Concept Formation, College Students, Evaluation, Value Judgment
van der Graaf, Joep; Rakovic, Mladen; Fan, Yizhou; Lim, Lyn; Singh, Shaveen; Bannert, Maria; Gaševic, Dragan; Molenaar, Inge – Metacognition and Learning, 2023
Self-regulation is an essential skill for lifelong learning. Research has shown that self-regulated learning (SRL) leads to greater academic achievement and sustainable education, but students often struggle with SRL. Scaffolds are widely reported as an effective and efficient support method for SRL. To further improve digital scaffolds'…
Descriptors: Independent Study, Self Management, Scaffolding (Teaching Technique), Individualized Programs
Bernacki, Matthew L.; Cogliano, Megan Claire; Kuhlmann, Shelbi L.; Utz, Jenifer; Strong, Christy; Hilpert, Jonathan C.; Greene, Jeffrey A. – Metacognition and Learning, 2023
Undergraduate STEM lecture courses enroll hundreds who must master declarative, conceptual, and applied learning objectives. To support them, instructors have turned to active learning designs that require students to engage in "self-regulated learning" (SRL). Undergraduates struggle with SRL, and universities provide courses, workshops,…
Descriptors: Undergraduate Students, Self Management, Mastery Learning, Biology
Zheng, Juan; Lajoie, Susanne P.; Wang, Tingting; Li, Shan – Metacognition and Learning, 2023
Computer-supported scaffolding plays a pivotal role in advancing problem-solving skills and improving cognitive learning outcomes in self-regulated learning. However, there is limited research on the effectiveness of different types of scaffolds and the role they play in the context of clinical problem-solving. This study performed latent profile…
Descriptors: Computer Assisted Instruction, Medical Education, Medical Students, Problem Solving
