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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
Syarief Fajaruddin; Heri Retnawati; Caly Setiawan; Ezi Apino; Janu Arlinwibowo; Dzul Rachman – Journal of Education and Learning (EduLearn), 2024
This study explores the correlation between technology utilization and language acquisition while analyzing the impact of moderating variables on this relation. Our meta-analysis approach analyzes data from 43 extracts out of 19 primary studies published between 2012 and 2021. Our data analysis employs a random-effect model utilizing a…
Descriptors: Second Language Instruction, Second Language Learning, Learning Processes, Correlation
Henrik Worm Routhe; Jette Egelund Holgaard; Anette Kolmos – European Journal of Engineering Education, 2024
The increasing complexity of societal problems and the need for more interdisciplinary problem-solving in the future raise new demands for future engineering competences. Consequently, competences related to management and leadership must be reconsidered and reflected in both engineering education and engineering education research. This leads to…
Descriptors: Engineering Education, Management Development, Leadership Training, Research Reports
Xinlei Li; Guoyuan Sang; Martin Valcke; Johan van Braak – Education and Information Technologies, 2024
Computational thinking (CT) is valued as a thinking process that is required to adapt to the development of curriculum in primary education. In the context of modern information technology, English as a language subject emphasizes the necessity for changes in both learning and teaching modes. However, there is a lack of up-to-date synthesis…
Descriptors: Computer Science Education, Technological Literacy, Pedagogical Content Knowledge, Elementary School Students
Peter A. Edelsbrunner; Bianca A. Simonsmeier; Michael Schneider – Educational Psychology Review, 2025
Knowledge is an important predictor and outcome of learning and development. Its measurement is challenged by the fact that knowledge can be integrated and homogeneous, or fragmented and heterogeneous, which can change through learning. These characteristics of knowledge are at odds with current standards for test development, demanding a high…
Descriptors: Meta Analysis, Predictor Variables, Learning Processes, Knowledge Level
Yuting Liu; Peng Peng; Xueye Yan – Grantee Submission, 2025
In this meta-analysis of 54 longitudinal studies with over 58,000 students in kindergarten through 12th grade, we examined the predictive nature of early numeracy measured at or before the first year of formal schooling in relation to later mathematics. Results showed that early numeracy significantly predicted mathematics measured after 6 months…
Descriptors: Numeracy, Mathematics Skills, Mathematics Education, Predictor Variables
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
Xiaoli Huang; Wei Xu; Ruijia Liu – International Journal of Distance Education Technologies, 2025
This article presents a meta-analysis of the existing literature using Stata 18.0, focusing on the effects of ITSs on learning attitudes, knowledge acquisition, learner motivation, performance, problem-solving skills, test scores, and educational outcomes across different countries and educational levels (k = 30, g = 0.86). The findings suggest…
Descriptors: Intelligent Tutoring Systems, Outcomes of Education, Learning Motivation, Student Attitudes
Scott Thorne; Nathan Mentzer; Scott Bartholomew; Greg J. Strimel – International Journal of Technology and Design Education, 2024
In design courses, reviewing how others have solved design problems or completed projects is common practice and often encouraged by educators. Using student work as examples can provide context for assessment criteria and help students approach new design problems. While studies have explored the use of exemplars in various disciplines, little…
Descriptors: Design, Engineering Education, Learning Motivation, Self Efficacy
Wahyu Dilla Abdullah; Adilah Afikah; Ezi Apino; Supahar Supahar; Jumadi Jumadi – Journal of Baltic Science Education, 2024
The use of mobile technology in physics education has become more prevalent, but more data about its effect on student academic performance needs to be collected. This meta-analysis examines the effects of mobile learning on student achievement in physics and any moderating factors. The study collected 36 primary studies from various scientific…
Descriptors: Meta Analysis, Science Education, Science Achievement, Physics
Lindsay Everaert; Elke Emmers; Ruth Stevens; Anouk Agten; Wim Tops – European Journal of Special Needs Education, 2025
School-going individuals with Autism Spectrum Disorder (ASD) face challenges in educational settings, including reduced academic performance, motor- and social skills. Embodied cognition (EC), which emphasises the significant role of the body in human cognition, encompasses aspects such as motor control, non-verbal communication, and memory.…
Descriptors: Human Body, Brain Hemisphere Functions, Schemata (Cognition), Autism Spectrum Disorders
Lu, Hong; Leung, Frederick K. S.; Fan, Zhengcheng – ZDM: Mathematics Education, 2022
Research has revealed the extent and mechanism of the relation between language (dominated by alphabetic systems) and students' mathematics learning, but when it comes to Chinese language (an orthographic system), nature remains elusive. In this meta-analysis we aim to quantify the size of the relation between Chinese language and mathematics and…
Descriptors: Chinese, Mathematics Instruction, Learning Processes, Meta Analysis
Laura María García Carrizosa; Kristof De Witte – Cambridge Journal of Education, 2024
Teacher absenteeism has high individual and societal costs and triggers a vicious cycle by increasing teacher absenteeism for the remaining teachers. Moreover, teachers' non-attendance disrupts the learning process and affects student motivation and achievement. Teacher absenteeism further exacerbates the increasing teacher shortage observed in…
Descriptors: Teacher Attendance, Models, Predictor Variables, Teacher Shortage
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
Offer-Boljahn, Henriette; Hövel, Dennis Christian; Hennemann, Thomas – Journal of Pedagogical Research, 2022
The linguistic, mathematical, social-emotional, and cognitive precursor competencies are important predictors of learning success already at kindergarten age. A systematic analysis of the state of research on the actual interrelationships of the focused precursor competencies brings together results of a meta-analysis. The literature search…
Descriptors: Learning Processes, Executive Function, Interpersonal Competence, Meta Analysis