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Bradley Graeme Welch; Juan Carlos Ponce Campuzano – International Journal of Mathematical Education in Science and Technology, 2025
In this paper, we explore how the typical second year undergraduate topic of matrix diagonalisation can be applied to solve a geometric problem which arises frequently in Vector Calculus: to find the curve of intersection of a plane and a surface. We use GeoGebra, which offers a cost-free and dynamic interface, to explore a specific variant of…
Descriptors: Geometry, Computer Software, Computer Assisted Instruction, Undergraduate Students
Johann Chevalère; M. Berthon; N. Rocher; D. Pailler; V. Mazenod; P. Huguet – Education and Information Technologies, 2025
Computer-assisted instruction (CAI) is a valuable approach for managing classroom heterogeneity by providing feedback tailored to students' individual needs. While previous research has primarily focused on the cognitive mechanisms underlying CAI's effectiveness, it has often overlooked the social-cognitive processes that may contribute to its…
Descriptors: Computer Assisted Instruction, Self Esteem, Feedback (Response), Geography Instruction
Zheng, Robert; Cordner, Holly; Spears, Jeffrey – Research and Practice in Technology Enhanced Learning, 2022
This study investigates the effects of annotation on abstract and concrete visual representations in science education. Two studies were conducted: Study 1 investigated the interaction between annotation and visual representations. The results of this study demonstrated that in science learning, annotation with abstract visual representations was…
Descriptors: Documentation, Science Education, Visual Stimuli, Interaction
Smith, Lesley Erin – ProQuest LLC, 2023
The strand of feedback research within the field of Instructed Second Language Acquisition (ISLA) examines the effects of feedback on the development of second language (L2) knowledge and learning behaviors. While findings often make claims about the relationship between feedback and language processing, much of this research has not measured…
Descriptors: Feedback (Response), Second Language Learning, Language Processing, French
Yang, Juan; Qi, X. F.; Liu, R.; Wang, L.; Sun, B. – Reading and Writing: An Interdisciplinary Journal, 2022
Computer-assisted textual enhancement (CATE) technology has been widely used to improve English as foreign language (EFL) learners' syntactical and grammatical learning. Visual attention, repetition, and prior knowledge are known as the vital factors in CATE-assisted knowledge-acquisition; however, there still lacks a model which can describe…
Descriptors: Observation, Repetition, Prior Learning, Grammar
Wang, Jingyun; Shimada, Atsushi; Oi, Misato; Ogata, Hiroaki; Tabata, Yoshiyuki – Interactive Learning Environments, 2023
This study presents an ontology-based visualization support system for e-book learners which promotes both meaningful receptive learning and meaningful discovery learning. To examine the system effectiveness, two learning modes are used: (a) reception comparison mode, where at the outset learners are shown complete versions of expert-generated…
Descriptors: Visualization, Electronic Publishing, Books, Electronic Learning
Duy M. Pham; Kirk P. Vanacore; Adam C. Sales; Johann A. Gagnon-Bartsch – International Educational Data Mining Society, 2024
Effective personalization of education requires knowing how each student will perform under certain conditions, given their specific characteristics. Thus, the demand for interpretable and precise estimation of heterogeneous treatment effects is ever-present. This paper outlines a new approach to this problem based on the Leave-One-Out Potential…
Descriptors: Middle School Students, Middle School Teachers, Middle School Mathematics, Algebra
Christos Chytas; Sylvia Patricia van Borkulo; Paul Drijvers; Erik Barendsen; Jos L. J. Tolboom – Digital Experiences in Mathematics Education, 2024
Nowadays, mathematics teachers in K-12 strive to promote their students' mathematical knowledge and computational thinking (CT) skills. There is an increasing need for effective CT-embedded mathematics learning material and a better understanding of students' views toward them. In this work, we present the results of a research study, which…
Descriptors: Thinking Skills, Mathematics Instruction, Teaching Methods, Computer Software
Soraya García-Sánchez – Computer Assisted Language Learning, 2024
This research explores intralinguistic communicative mediation in an English for Specific Purposes (ESP) online journal writing to enhance professional development through the co-construction of meaning. It accentuates research gaps specific to learning English in the field of law under the approach of collaborative Computer Assisted Language…
Descriptors: English for Special Purposes, Foreign Countries, Law Students, Graduate Students
Verma, Vipin; Craig, Scotty D.; Levy, Roy; Bansal, Ajay; Amresh, Ashish – Journal of Educational Computing Research, 2022
Detection and responding to a player's affect are important for serious games. A method for this purpose was tested within Chem-o-crypt, a game that teaches chemical equation balancing. The game automatically detects boredom, flow, and frustration using the Affdex SDK from Affectiva. The sensed affective state is then used to adapt the game play…
Descriptors: Psychological Patterns, Game Based Learning, Media Adaptation, Learner Engagement
Tugtekin, Ufuk; Odabasi, Hatice Ferhan – Education and Information Technologies, 2022
In this study, considering the effect of interactive learning environments on human cognition, we have examined extraneous processing effects of multimedia materials on cognitive load, metacognitive judgments and learning outcomes. This study examines Augmented Reality Learning Environments (ARLE) and Virtual Reality Learning Environments (VRLE)…
Descriptors: Outcomes of Education, Interaction, Educational Environment, Cognitive Processes
Jannis Weber; Thomas Wilhelm – Physical Review Physics Education Research, 2024
Students experience many difficulties learning the fundamental relationships in Newtonian mechanics, partly due to preexisting mental models that originate from their everyday lives. These preconceptions often persist even after instruction in mechanics and lead to a supposed incompatibility between physics lessons in school and personal…
Descriptors: Physics, Science Instruction, Scientific Concepts, Mechanics (Physics)
Buchin, Zachary L.; Mulligan, Neil W. – Journal of Educational Psychology, 2023
Retrieval practice typically benefits later memory more than restudy (i.e., the testing effect). The benefits of retrieval-based learning generalize across a range of materials and contexts, leading many cognitive scientists to advocate for broad educational implementation. However, educators and practitioners call for more research on factors…
Descriptors: Prior Learning, Memory, Learning Processes, Learning Strategies
Wu-Yuin Hwang; Bo-Chen Guo; Anh Hoang; Ching-Chun Chang; Nien-Tsu Wu – Computer Assisted Language Learning, 2024
This study introduced an app, called Smart UEnglish, for helping EFL conversation practices in authentic contexts. These conversation practices were categorized into 'designed talk' and 'free talk', based on the content of an English textbook and authentic ambient environment that includes such things as transportation, weather and scenic…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
Richter, Juliane; Lachner, Andreas; Jacob, Leonie; Bilgenroth, Friederike; Scheiter, Katharina – Journal of Computer Assisted Learning, 2022
Background: Engaging students in computer-assisted guided inquiry learning has great potential to scaffold their scientific understanding: Students are expected to improve their scientific problem-solving skills, and at the same time gain a deep conceptual understanding of the subject-matter. Additional generative activities such as creating video…
Descriptors: Self Concept, Problem Solving, Video Technology, Computer Assisted Instruction

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