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Dragos Corlatescu; Micah Watanabe; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2023
Reading comprehension is essential for both knowledge acquisition and memory reinforcement. Automated modeling of the comprehension process provides insights into the efficacy of specific texts as learning tools. This paper introduces an improved version of the Automated Model of Comprehension, version 3.0 (AMoC v3.0). AMoC v3.0 is based on two…
Descriptors: Reading Comprehension, Models, Concept Mapping, Graphs
D. R. E. Cotton; S. Bloxham; S. Cooper; J. Downey; M. Fornasiero – Journal of Further and Higher Education, 2024
Knowledge exchange (KE) is increasingly important in higher education internationally, yet relatively little attention has been paid to it as a pedagogic opportunity for students. This paper draws on 26 interviews with stakeholders within and outside HE to develop a model of student-led knowledge exchange as a guide for learning through KE. The…
Descriptors: Higher Education, Stakeholders, Attitudes, Models
Televantou, Ioulia; Marsh, Herbert W.; Xu, Kate M.; Guo, Jiesi; Dicke, Theresa – Educational Psychology Review, 2023
The present study uses doubly latent models to estimate the effect of average mathematics achievement at the class level on students' subsequent mathematics achievement (the "Peer Spillover Effect") and mathematics self-concept (the "Big-Fish-Little-Pond-Effect; BFLPE"), controlling for individual differences in prior…
Descriptors: Error of Measurement, Mathematics Achievement, Self Concept, Individual Differences
Butterfuss, Reese; Kendeou, Panayiota – Educational Psychology Review, 2021
The aim of this paper is two-fold. The first aim is to review the core representational and processing aspects of influential accounts of single-document and multiple-document comprehension with a particular emphasis on how readers negotiate conflicting information during reading. This review provides the groundwork for the second aim--to expand…
Descriptors: Reading Comprehension, Cognitive Processes, Conflict, Misconceptions
Butterfuss, Reese; Kendeou, Panayiota – Grantee Submission, 2021
The aim of this paper is two-fold. The first aim is to review the core representational and processing aspects of influential accounts of single-document and multiple-document comprehension with a particular emphasis on how readers negotiate conflicting information during reading. This review provides the groundwork for the second aim--to expand…
Descriptors: Reading Comprehension, Cognitive Processes, Conflict, Misconceptions
Frick, Aurélien; Chevalier, Nicolas – Journal of Cognition and Development, 2023
Cognitive control (also referred to as executive functions) corresponds to a set of cognitive processes that support the goal-directed regulation of thoughts and actions. It plays a major role in complex activities and predicts later academic achievement. Importantly, while growing up, children are progressively transitioning from engaging…
Descriptors: Executive Function, Cognitive Processes, Cognitive Development, Models
Cheng- Yao Lin; Kuan- Chun Chen; Jie Shi Liew; Ho-Feng Chueh – Mathematics Teacher: Learning and Teaching PK-12, 2024
Understanding negative numbers can be challenging for many students, as these concepts may seem less tangible than counting objects, which are commonly represented by positive numbers. In addition, the multiplication of two negative numbers resulting in a positive might appear inconsistent and puzzling to young learners who are used to seeing the…
Descriptors: Mathematics Education, Mathematics Skills, Number Concepts, Multiplication
Julius Moritz Meier; Peter Hesse; Stephan Abele; Alexander Renkl; Inga Glogger-Frey – Journal of Computer Assisted Learning, 2024
Background: In example-based learning, examples are often combined with generative activities, such as comparative self-explanations of example cases. Comparisons induce heavy demands on working memory, especially in complex domains. Hence, only stronger learners may benefit from comparative self-explanations. While static text-based examples can…
Descriptors: Video Technology, Models, Cues, Problem Solving
Bichler, Sarah; Stadler, Matthias; Bühner, Markus; Greiff, Samuel; Fischer, Frank – Instructional Science: An International Journal of the Learning Sciences, 2022
Extensive research has established that successful learning from an example is conditional on an important learning activity: self-explanation. Moreover, a model for learning from examples suggests that self-explanation quality mediates effects of examples on learning outcomes (Atkinson et al. in Rev Educ Res 70:181-214, 2000). We investigated…
Descriptors: Statistics, Statistics Education, Problem Solving, Executive Function
Pooja G. Sidney; Julie F. Shirah; Lauren Zahrn; Clarissa A. Thompson – Grantee Submission, 2022
In mathematics, learners often spontaneously draw on prior knowledge when learning new ideas. In this study, we examined whether the specific diagrams used to represent more familiar (i.e., whole number division) and less familiar ideas (i.e., fraction division) shape successful transfer. Undergraduates (N = 177) were randomly assigned to…
Descriptors: Mathematics Education, Prior Learning, Transfer of Training, Visual Aids
Laurie-Anne Sapey-Triomphe; Gaëtan Sanchez; Marie-Anne Hénaff; Sandrine Sonié; Christina Schmitz; Jérémie Mattout – npj Science of Learning, 2023
Predictive coding theories suggest that core symptoms in autism spectrum disorders (ASD) may stem from atypical mechanisms of perceptual inference (i.e., inferring the hidden causes of sensations). Specifically, there would be an imbalance in the precision or weight ascribed to sensory inputs relative to prior expectations. Using three tactile…
Descriptors: Autism Spectrum Disorders, Tactual Perception, Sensory Integration, Comparative Analysis
Hsin-Yi Chang; Theerapong Binali – Journal of Science Education and Technology, 2025
The "drawing-to-learn" pedagogical approach has gained considerable attention and evidence supporting its efficacy for facilitating learning. However, little theoretical or empirical research has addressed issues regarding collaborative drawing-to-learn. In this study, we developed collaborative drawing-to-learn activities and three…
Descriptors: Metacognition, Freehand Drawing, Learning Processes, Cooperative Learning
Krebs, Marie-Christin; Schüler, Anne; Scheiter, Katharina – Instructional Science: An International Journal of the Learning Sciences, 2021
We investigated in an experiment with 180 university students the joint role of prior knowledge, alleged model competence, and social comparison orientation regarding the effectiveness of Eye Movement Modeling Examples (EMME) for supporting multimedia learning. EMME consisted of short videos with gaze replays of an instructed model demonstrating…
Descriptors: Prior Learning, Multimedia Instruction, Observational Learning, Social Cognition
Charity N. Watson; Pablo Duran; Adam Castillo; Edgar Fuller; Geoff Potvin; Laird Kramer – International Journal of Mathematical Education in Science and Technology, 2025
College calculus plays an important role in STEM students' degree and career aspirations. One of the key factors considered in assessing a student's ability to be successful in calculus is their proficiency in topics from prior mathematics courses such as algebra and precalculus. This study set out to examine the impact of students' precalculus…
Descriptors: Active Learning, Calculus, Mathematics Instruction, Teaching Methods
Tobin, R. G.; Lacy, Sara J.; Crissman, Sally – Physical Review Physics Education Research, 2023
Kinetic energy is usually the entry point for the study of energy in physics and is often perceived as unproblematic. We present evidence, however, that some learners who seem to have accepted the concept, from elementary school students to college physics majors and in-service teachers, nevertheless do not consistently attribute kinetic energy to…
Descriptors: Physics, Science Instruction, Scientific Concepts, Concept Formation

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