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Louise David; Felicitas Biwer; Martine Baars; Lisette Wijnia; Fred Paas; Anique de Bruin – Educational Psychology Review, 2024
Accurately monitoring one's learning processes during self-regulated learning depends on using the right cues, one of which could be perceived mental effort. A meta-analysis by Baars et al. (2020) found a negative association between mental effort and monitoring judgments (r = -0.35), suggesting that the amount of mental effort experienced during…
Descriptors: Correlation, Outcomes of Education, Metacognition, Meta Analysis
Geraci, Lisa; Kurpad, Nayantara; Tirso, Robert; Gray, Kathryn N.; Wang, Yan – Metacognition and Learning, 2023
Students often make incorrect predictions about their exam performance, with the lowest-performing students showing the greatest inaccuracies in their predictions. The reasons why low-performing students make inaccurate predictions are not fully understood. In two studies, we tested the hypothesis that low-performing students erroneously predict…
Descriptors: Prediction, Tests, Scores, Low Achievement
Melis Yesilpinar Uyar – Athens Journal of Education, 2024
The aim of the study was determining the openness to learning tendencies and metacognitive learning strategies and analysing the predictive relationships between the related variables. The predictive research model was used in the study. Within the research, 499 education faculty students participated. For data collection, "Metacognitive…
Descriptors: Metacognition, Predictor Variables, Correlation, Teacher Competencies
Lilian Anthonysamy; Poovilashini Sugendran; Lim Ooi Wei; Teoh Sian Hoon – Education and Information Technologies, 2024
Enhancing students' analytical thinking skills holds great promise for bolstering a nation's economic growth, fostering a dynamic learning culture, and nurturing human capital development. It is especially critical in today's rapidly changing landscape, where the demand for skilled, adaptable graduates is high. Achieving and sustaining these…
Descriptors: Metacognition, Competence, Logical Thinking, College Students
Yovav Eshet; Keren Grinautsky; Pnina Steinberger – International Journal for Educational Integrity, 2024
Despite the growing interest in mindfulness in higher education, the literature on its relation to decision-making under risk (i.e. academic misconduct) and statistics anxiety is scarce. The present research shall fill this gap. Based on the prospect theory, we assessed the mediating effect of mindfulness on the relationship between statistics…
Descriptors: Ethics, Anxiety, Cheating, Integrity
Hendra Hidayat; Dani Harmanto; Mohd Rizal Mohd Isa; Jem Cloyd M. Tanucan; Ahmad Istiqlal Ahlunnazak; Ifdil Ifdil; Zadrian Ardi – Journal of Social Studies Education Research, 2024
This study explores eight key themes: Self-control, personalized learning, smartphone habits, future-time perspective, information overload, digital literacy, meaningful learning, and metacognitive awareness. The primary objective is to investigate the correlations among these factors. Virtual presence serves as a moderating variable, influencing…
Descriptors: Metacognition, Engineering Education, Learning Processes, Telecommunications
John Willison; Claire Draper; Laura Fornarino; Menghua Li; Tala Sabri; Yan Shi; Xinshuo Zhao – Studies in Science Education, 2024
The development of student metacognition has the potential to provide some of the greatest learning gains in science education, even outstripping the contribution of general intelligence. While models for metacognition are in broad agreement about their nature, they vary widely in essential elements and the relationships between them, especially…
Descriptors: Metacognition, Learning Strategies, Correlation, Guidelines
Regina Sutarmina; Jamie Costley; Anna Gorbunova; Christopher Lange – Education and Information Technologies, 2025
This study examines relationships among several variables within the context of online learning in higher education including self-regulated effort, maintained situational interest, gender differences, and age-related factors. Analyzing data from a diverse Open Cyber University of Korea student sample, the research highlights a positive…
Descriptors: Online Courses, Learning Motivation, Metacognition, Age Differences
Fuhai An; Linjin Xi; Jingyi Yu – Education and Information Technologies, 2024
The current study assessed 495 middle school students in China using self-report questionnaires, to examine the multiple mediating effects of intrinsic motivation and learning engagement (vitality, dedication and absorption) in the relations between technology acceptance and students' self-regulated learning. The results indicated that technology…
Descriptors: Learner Engagement, Middle School Students, Metacognition, Learning Motivation
Diana Rozelin; Sukarno; Muhaimin – Indonesian Journal of English Language Teaching and Applied Linguistics, 2024
This study aimed to determine and describe the influence of psycholinguistics and metacognition on the ability of physics education students to use verbal language in the learning process. Quantitative research is used to measure the level of influence between variables, and then the case study is used to determine the sample. Based on the data,…
Descriptors: Psycholinguistics, Physics, Correlation, Language Skills
Alvarez, Ronald Perez; Jivet, Ioana; Perez-Sanagustin, Mar; Scheffel, Maren; Verbert, Katrien – IEEE Transactions on Learning Technologies, 2022
Self-regulated learning (SRL) is a crucial higher-order skill required by learners of the 21st century, who will need to become lifelong learners to adapt to the continually changing environments. Literature provides examples of tools for scaffolding SRL in online environments. In this article, we provide the state-of-the-art concerning tools that…
Descriptors: Metacognition, Teaching Methods, Research Reports, Goal Orientation
Li, Wei; Liu, Cheng-Ye; Tseng, Judy C. R. – Education and Information Technologies, 2023
Collaborative programming can develop computational thinking and knowledge of computational programming. However, the researchers pointed out that because students often fail to mobilize metacognition to regulate and control their cognitive activities in a cooperation, this results in poor learning effects. Especially low-achieving students need…
Descriptors: Correlation, Metacognition, Thinking Skills, Programming
Abdullah Albalawi – Australian Journal of Applied Linguistics, 2024
This review paper explores the role of individual differences in second language vocabulary learning, focusing on three key factors: out-of-class exposure (e.g., viewing TV, playing video games and listening to songs), strategic vocabulary learning, and motivation. Individual differences significantly impact vocabulary learning, making it crucial…
Descriptors: Individual Differences, Metacognition, Vocabulary Development, Linguistic Input
De Backer, Liesje; Van Keer, Hilde; Valcke, Martin – European Journal of Psychology of Education, 2021
This study investigates (1) the impact of structuring versus reflection-provoking support on university students' adoption of socially shared metacognitive regulation (SSMR) during face-to-face peer tutoring (PT) and (2) the relation between SSMR and group performance. A quasi-experimental design was adopted, involving 72 educational sciences…
Descriptors: College Students, Cooperative Learning, Communities of Practice, Metacognition
Zhoc, Karen C. H.; Cai, Yuyang; Yeung, S. S.; Shan, Jianguo – British Journal of Educational Psychology, 2022
Background: The COVID-19 pandemic has brought unprecedented challenges to the world, creating significant impact on people's lives and subjective wellbeing. While previous studies have shown that students' wellbeing and how they manage their emotions are critical to students' learning, less research has considered their specific impacts on student…
Descriptors: Well Being, Self Control, Learner Engagement, Online Courses