NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 31 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
David Menendez; Sarah A. Brown; Martha W. Alibali – Cognitive Science, 2023
Why do people shift their strategies for solving problems? Past work has focused on the roles of contextual and individual factors in explaining whether people adopt new strategies when they are exposed to them. In this study, we examined a factor not considered in prior work: people's evaluations of the strategies themselves. We presented…
Descriptors: Individual Differences, Problem Solving, Learning Strategies, Self Evaluation (Individuals)
David Menendez; Sarah A. Brown; Martha W. Alibali – Grantee Submission, 2023
Why do people shift their strategies for solving problems? Past work has focused on the roles of contextual and individual factors in explaining whether people adopt new strategies when they are exposed to them. In this study, we examined a factor not considered in prior work: people's evaluations of the strategies themselves. We presented…
Descriptors: Individual Differences, Problem Solving, Learning Strategies, Self Evaluation (Individuals)
Chen, Xin – Mathematics Education Research Group of Australasia, 2022
Previous studies have identified the relationship between cognitive activation and academic emotions. However, little is known about the underlying process behind this relationship. Considering that cognitive activation strategies may have different effects on students of different abilities, latent multi-group structural equation modelling was…
Descriptors: Cognitive Processes, Psychological Patterns, Learning Strategies, Academic Ability
Peer reviewed Peer reviewed
Direct linkDirect link
Johnson, Heather Lynn; McClintock, Evan; Hornbein, Peter – ZDM: The International Journal on Mathematics Education, 2017
Using an actor-oriented perspective on transfer, we report a case of a student's transfer of covariational reasoning across tasks involving different backgrounds and features. In this study, we investigated the research question: How might a student's covariational reasoning on Ferris wheel tasks, involving attributes of distance, width, and…
Descriptors: Task Analysis, Transfer of Training, Learning Strategies, Thinking Skills
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Burcu Ünal; Suzan Kavanoz; Ezgi Aydemir Altas – International Journal of Education in Mathematics, Science and Technology, 2024
Flipped learning has become the focus in many educational contexts especially with the integration of technological tools in learning space for the last decade. In flipped learning, learners perform surface learning at home, whereas deep learning such as problem-solving, critical thinking exercises etc. is covered in the classroom which…
Descriptors: Flipped Classroom, Learning Motivation, Learning Strategies, COVID-19
Peer reviewed Peer reviewed
Direct linkDirect link
Veenman, Marcel V. J. – Teachers College Record, 2017
Metacognitive skills refers to individual abilities for regulating and controlling learning behavior. Orientation, goal setting, planning, monitoring, and evaluation are manifestations of those skills. Given that metacognitive skills directly affect learning behavior, they are a strong predictor of learning performance. Students display a huge…
Descriptors: Metacognition, Cognitive Ability, Behavior, Predictor Variables
Peer reviewed Peer reviewed
Direct linkDirect link
Sasanguie, Delphine; Vos, Helene – Developmental Science, 2018
Digit comparison is strongly related to individual differences in children's arithmetic ability. Why this is the case, however, remains unclear to date. Therefore, we investigated the relative contribution of three possible cognitive mechanisms in first and second graders' digit comparison performance: digit identification, digit--number word…
Descriptors: Elementary School Mathematics, Elementary School Students, Grade 1, Grade 2
Peer reviewed Peer reviewed
Direct linkDirect link
Rach, Stefanie; Heinze, Aiso – International Journal of Science and Mathematics Education, 2017
Particularly in mathematics, the transition from school to university often appears to be a substantial hurdle in the individual learning biography. Differences between the characters of school mathematics and scientific university mathematics as well as different demands related to the learning cultures in both institutions are discussed as…
Descriptors: High School Graduates, College Preparation, Articulation (Education), Prerequisites
Peer reviewed Peer reviewed
Direct linkDirect link
Andersen, Lau M.; Visser, Ingmar; Crone, Eveline A.; Koolschijn, P. Cédric M. P.; Raijmakers, Maartje E. J. – Developmental Psychology, 2014
Developmental differences in dorsolateral prefrontal cortex (DLPFC), anterior cingulate cortex (ACC), and superior parietal cortex (SPC) activation are associated with differences in how children, adolescents, and adults learn from performance feedback in rule-learning tasks (Crone, Zanolie, Leijenhorst, Westenberg, & Rombouts, 2008). Both…
Descriptors: Cognitive Processes, Brain Hemisphere Functions, Learning Strategies, Feedback (Response)
Peer reviewed Peer reviewed
Direct linkDirect link
Luwel, Koen; Foustana, Ageliki; Onghena, Patrick; Verschaffel, Lieven – Learning and Individual Differences, 2013
The present study investigated the extent to which verbal intelligence (VIQ) and performance intelligence (PIQ) contribute to strategy selection and execution in the context of a numerosity judgement task. The choice/no-choice method was used to appropriately assess strategy selection (in terms of strategy repertoire, frequency and adaptivity) and…
Descriptors: Short Term Memory, Long Term Memory, Verbal Ability, Intelligence
Peer reviewed Peer reviewed
Direct linkDirect link
Figueiredo, Sandra; Martins, Margarida Alves; da Silva, Carlos Fernandes – International Journal of Multilingualism, 2016
Heritage language speakers struggle in European classrooms with insufficient material provided for second language (SL) learning and assessment. Considering the amount of instruments and pertinent studies in English SL, immigrant students are better prepared than their peers in Romance language settings. This study investigates how factors such as…
Descriptors: Immigrants, Second Language Learning, Romance Languages, Morphology (Languages)
Peer reviewed Peer reviewed
Direct linkDirect link
Lin, Tzung-Jin; Tsai, Chin-Chung – International Journal of Science and Mathematics Education, 2013
In the past, students' science learning self-efficacy (SLSE) was usually measured by questionnaires that consisted of only a single scale, which might be insufficient to fully understand their SLSE. In this study, a multi-dimensional instrument, the SLSE instrument, was developed and validated to assess students' SLSE based on the previous…
Descriptors: High School Students, Science Education, Cognitive Style, Foreign Countries
Gaeta Gonzalez, Martha Leticia – Online Submission, 2013
In order to self-regulate their learning, students need to use different strategies to plan, monitor, and evaluate their learning activities (meta-cognitive strategies), as well as to control their motivation and emotion (volitional strategies). Students' effectiveness in their self-regulated learning process also varies depending on the academic…
Descriptors: Educational Environment, Goal Orientation, Secondary School Students, Late Adolescents
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Imhof, Margarete; Spaeth-Hilbert, Tatjana – International Journal of Higher Education, 2013
Based on a cognitive motivational process model of learning, the impact of studying behavior on learning outcome is investigated. First-year students (N = 488) participated in the study. Two research questions were addressed: (1) Can cognitive-motivational variables and objective study behavior predict individual learning? (2) Which factors drive…
Descriptors: Student Motivation, Role, Self Concept, At Risk Students
Peer reviewed Peer reviewed
Direct linkDirect link
Chen, Ching-Huei; Wu, I.-Chia – Computers & Education, 2012
A path model was used to test the unique and interactive effects of cognitive and motivational variables when learning in a supportive online learning system, Collaborative Inquiry System (CIS). In this student-centered learning environment, students interact with computer simulations and are assisted by online scaffolds intended to help them…
Descriptors: Electronic Learning, Physical Education, Online Courses, Learning Strategies
Previous Page | Next Page »
Pages: 1  |  2  |  3