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Barlow, Allyson; Brown, Shane; Lutz, Benjamin; Pitterson, Nicole; Hunsu, Nathaniel; Adesope, Olusola – International Journal of STEM Education, 2020
Evidence shows that students who are actively engaged with learning materials demonstrate greater learning gains than those who are passively engaged. Indeed, cognitive engagement is often cited as a critical component of an educational experience. However, understanding how and in what ways cognitive engagement occurs remains a challenge for…
Descriptors: College Students, Engineering Education, Learner Engagement, Active Learning
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Dierendonck, Christophe; Milmeister, Paul; Kerger, Sylvie; Poncelet, Débora – International Journal of Behavioral Development, 2020
Few studies have used exploratory factor analysis (EFA) and exploratory bifactor factor analysis (EBFA) to define a baseline factor structure model checking the construct-relevant psychometric multidimensionality of student engagement. This study was conducted on a sample of 3,374 students in France, Wallonia-Brussels Federation, and Luxembourg by…
Descriptors: Learner Engagement, Behavior Problems, Foreign Countries, Secondary School Students
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Hendy, Mohamed Hammad – International Journal on Social and Education Sciences, 2020
It is known that most of learning theories recommended developing the whole personality of learner in all school levels. Integrating among applications and recommendations of several learning theories can create better and effective varied learning environments for all learners. So educators should continue to develop learning and teaching models…
Descriptors: Learning Theories, Interpersonal Competence, Job Skills, Elementary School Students
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Zeyer, Albert – Journal of Research in Science Teaching, 2018
The present study is based on a large cross-cultural study, which showed that a systemizing cognition type has a high impact on motivation to learn science, while the impact of gender is only indirect thorough systemizing. The present study uses the same structural equation model as in the cross-cultural study and separately tests it for physics,…
Descriptors: Learning Motivation, Gender Differences, Difficulty Level, Physics
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Li, Fengying; He, Yifeng; Xue, Qingshui – Educational Technology & Society, 2021
With the deep application of artificial intelligence and big data in education, adaptive learning has become a new research hotspot in online education. Based on the systematic review of the connotation and research progress of adaptive learning, a new definition of adaptive learning is given. By literature analysis, this paper points out the…
Descriptors: Educational Technology, Artificial Intelligence, Student Needs, Individualized Instruction
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Träff, Ulf; Skagerlund, Kenny; Olsson, Linda; Östergren, Rickard – British Journal of Educational Psychology, 2017
Background: Developing sufficient mathematical skills is a prerequisite to function adequately in society today. Given this, an important task is to increase our understanding regarding the cognitive mechanisms underlying young people's acquisition of early number skills and formal mathematical knowledge. Aims: The purpose was to examine whether…
Descriptors: Adolescents, Females, Arithmetic, Mathematics Skills
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Rehder, Bob – Cognitive Science, 2017
This article assesses how people reason with categories whose features are related in causal cycles. Whereas models based on causal graphical models (CGMs) have enjoyed success modeling category-based judgments as well as a number of other cognitive phenomena, CGMs are only able to represent causal structures that are acyclic. A number of new…
Descriptors: Abstract Reasoning, Logical Thinking, Causal Models, Graphs
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Kaya, Yasemin; Leite, Walter L. – Educational and Psychological Measurement, 2017
Cognitive diagnosis models are diagnostic models used to classify respondents into homogenous groups based on multiple categorical latent variables representing the measured cognitive attributes. This study aims to present longitudinal models for cognitive diagnosis modeling, which can be applied to repeated measurements in order to monitor…
Descriptors: Models, Classification, Cognitive Processes, Change
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Feucht, Florian C.; Lunn Brownlee, Jo; Schraw, Gregory – Educational Psychologist, 2017
Building on reflective practices and action taking as cornerstones of teacher education and professional development, we argue that epistemic reflexivity becomes a powerful tool for teachers to facilitate meaningful and sustainable change in their classroom teaching. In this introductory article, we provide an overview of epistemic reflexivity…
Descriptors: Reflective Teaching, Epistemology, Cognitive Processes, Teacher Education
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Rokhmat, Joni; Marzuki; Wahyudi; Putrie, Syandy Dwirahayu – Journal of Turkish Science Education, 2019
Unlike general approaches to learning, the Causalitic-Thinking Approach, aims to construct phenomena that have more than one possible answer. However this approach requires scaffolding strategies. This study aims to investigate the strategy of developing scaffolding in learning with the Causalitic-Thinking Approach to increase students'…
Descriptors: Foreign Countries, Physics, Science Instruction, Secondary School Science
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Dorfner, Tobias; Förtsch, Christian; Boone, William; Neuhaus, Birgit J. – Research in Science Education, 2019
A number of studies on single instructional quality features have been reported for mathematics and science instruction. For summarizing single instructional quality features, researchers have created a model of three basic dimensions ("classroom management," "supportive climate," and "cognitive activation") of…
Descriptors: Biology, Science Instruction, Educational Quality, Science Achievement
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Katz, Adi – Journal of Information Systems Education, 2020
Conceptual modeling of databases is a complex cognitive activity, particularly for novice database designers. The current research empirically tests a new pedagogy for this activity. It examines an instructional approach that stresses visualizing gradual transitions between levels of abstraction in different hierarchic levels of a relational…
Descriptors: Databases, Database Design, Information Science Education, Teaching Methods
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Maskur, Ruhban; Sumarno; Rahmawati, Yasinta; Pradana, Kenny; Syazali, Muhamad; Septian, Ari; Kinarya Palupi, Endah – European Journal of Educational Research, 2020
The development of the revolution era 4.0 which increasingly rapidly demands the wider community to have the ability to think creatively mathematically. One effort to improve the ability to think creatively is through quality education. Quality education can be improved through to train thinking using the right learning model. This study aims to…
Descriptors: Instructional Effectiveness, Problem Based Learning, Aptitude Treatment Interaction, Mathematics Instruction
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Meléndez, Juan C.; Alfonso-Benlliure, Vicente; Mayordomo, Teresa; Sales, Alicia – Creativity Research Journal, 2016
The purpose of the study was to test a model of causal relationships among cognitive reserve (CR), personality variables such as Neuroticism and Openness to experience, and divergent thinking (DT), independently evaluating performance in different domains (verbal and graphic). It was hypothesized that CR, Openness, and Neuroticism would each…
Descriptors: Creative Thinking, Older Adults, Predictor Variables, Causal Models
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Letrud, Kåre; Hernes, Sigbjørn – Cogent Education, 2018
The family of cognitive models sometimes referred to as the "Learning Pyramid" enjoys a considerable level of authority within several areas of educational studies, despite that nobody knows how they originated or whether they were supported by any empirical evidence. This article investigates the early history of these models. Through…
Descriptors: Learning Processes, Cognitive Style, Misconceptions, Neurosciences
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