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Showing 1 to 15 of 50 results Save | Export
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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
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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
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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
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Jung, Jaewon; Shin, Yoonhee; Zumbach, Joerg – Interactive Learning Environments, 2021
This study investigated the effects of pre-training types on the cognitive load, collaborative knowledge construction and level of learning in a computer-supported collaborative learning environment. Pre-training was provided to help learners optimise their cognitive load, build accurate shared-knowledge and achieve successful deep learning. The…
Descriptors: Cognitive Processes, Difficulty Level, Knowledge Level, Cooperative Learning
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Wang, Dongqing; Han, Hou – Journal of Computer Assisted Learning, 2021
With the development of a technology-supported environment, it is plausible to provide rich process-oriented feedback in a timely manner. In this paper, we developed a learning analytics dashboard (LAD) based on process-oriented feedback in iTutor to offer learners their final scores, sub-scale reports, and corresponding suggestions on further…
Descriptors: Learning Analytics, Educational Technology, Feedback (Response), Intelligent Tutoring Systems
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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)
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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
Razieh Fathi – ProQuest LLC, 2021
This dissertation describes an experiment to investigate how learners with different levels of background in computer science learn core concepts of computer science, in particular, algorithms. We designed a study to focus on cognitive task analysis for eliciting the empirical mental elements of learning two graph algorithms. Cognitive workload…
Descriptors: Undergraduate Students, Computer Science Education, Algorithms, Cognitive Development
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Mende, Stephan; Proske, Antje; Körndle, Hermann; Narciss, Susanne – Instructional Science: An International Journal of the Learning Sciences, 2017
Computer-supported collaborative learning (CSCL) scripts can foster learners' deep text comprehension. However, this depends on (a) the extent to which the learning activities targeted by a script promote deep text comprehension and (b) whether the guidance level provided by the script is adequate to induce the targeted learning activities…
Descriptors: Reading Comprehension, Reader Text Relationship, Cooperative Learning, Computer Assisted Instruction
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Villamor, Maureen M.; Rodrigo, Mercedes T. – International Educational Data Mining Society, 2017
This paper characterized the extent of collaboration of pairs of novice programmers as they traced and debugged fragments of code using cross-recurrence quantification analysis (CRQA). This was a preliminary analysis that specifically aimed to compare and assess the collaboration of pairs consisting of two individuals who may have different or…
Descriptors: Programming, Eye Movements, Prior Learning, Computer Assisted Instruction
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Lou, Anna J.; Jaeggi, Susanne M. – Journal of Research in Science Teaching, 2020
There have been many practical obstacles for teachers to implement evidence-based educational technology, especially in STEM classrooms. By implementing learning principles related to Cognitive Load Theory, we developed an innovative Technology-Assisted Guided Learning (TAGL) approach and its web-based instructional tool, combining expertise from…
Descriptors: Prior Learning, Achievement Gap, Computer Assisted Instruction, Chemistry
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Blume, Carolyn – Computer Assisted Language Learning, 2020
Despite the prevalence of digital gaming as a leisure activity and research attesting to the affordances of digital game-based language learning (DGBLL) for English as a foreign language (EFL), the use of DGBLL remains low, especially outside the United States. A survey was carried out in order to understand both the beliefs and behaviors of…
Descriptors: Preservice Teachers, English (Second Language), English Teachers, Student Behavior
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Yamashita, Taichi – Computer Assisted Language Learning, 2019
The present quasi-experimental study investigated the comparative effects of metalinguistic clue (MC) and metalinguistic explanation (ME) on the accurate use of Japanese transaction expressions. The study recruited 25 learners in a second-semester Japanese course (i.e. non-introduced group) and 17 students in a fourth-semester course (i.e.…
Descriptors: Cues, Metalinguistics, Prior Learning, Oral Language
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Daumiller, Martin; Dresel, Markus – Journal of Experimental Education, 2019
Studying with digital media, learners often struggle because of inadequate self-regulation. Previous research presented clear evidence of metacognitive prompts being effective in supporting learning with digital media. This study examines the potential of motivational regulation prompts, which are assumed to additionally support self-regulated…
Descriptors: Metacognition, Cues, Student Motivation, Pretests Posttests
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Kwong, Theresa; Hafiz, Muhammad; Lau, Peter; Chan, Isaac – Journal on Excellence in College Teaching, 2018
Differences in cultural background and prior academic background significantly affect the perception of academic integrity and ethics (AIE) among university students. While upholding the highest standards of AIE is crucial both academically and professionally, such abstract concepts are difficult to teach in the traditional classroom. With mobile…
Descriptors: Integrity, Ethics, Cultural Background, Prior Learning
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