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Showing 1 to 15 of 27 results Save | Export
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
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Garcia, Brittany; Chun, Soo; Kicklighter, Caleb; Mai, Bin; Palma, Marco; Seo, Jinsil Hwaryoung – International Association for Development of the Information Society, 2021
Virtual reality recently expanded to collaborative and social networking environments where users interact with virtual characters (VCs) of various appearances and behaviors, often impacting the quality of experience. In this paper, we present preliminary survey results of perceptions about characteristics of VCs and a user study of a VR lecture…
Descriptors: Computer Simulation, Computer Oriented Programs, Lecture Method, Student Experience
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Ishioka, Takuya; Gotoda, Naka; Alo, Christian; Kunieda, Takayuki; Yaegashi, Rihito; Hayashi, Toshihiro – International Association for Development of the Information Society, 2018
Obtaining tacit knowledge in sports skill learning is difficult. Although, coaches can give their learners easy to understand instructions to obtain the tacit knowledge. The coaches monitor, analyse and interpret learners' physical movement based on the coaches' experiences, then they give the instruction. In self-training without coaches, it is…
Descriptors: Decision Making, Visualization, Video Technology, Athletic Coaches
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Gruver, Nate; Malik, Ali; Capoor, Brahm; Piech, Chris; Stevens, Mitchell L.; Paepcke, Andreas – International Educational Data Mining Society, 2019
Understanding large-scale patterns in student course enrollment is a problem of great interest to university administrators and educational researchers. Yet important decisions are often made without a good quantitative framework of the process underlying student choices. We propose a probabilistic approach to modelling course enrollment…
Descriptors: Models, Course Selection (Students), Enrollment, Decision Making
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Karimi, Hamid; Derr, Tyler; Huang, Jiangtao; Tang, Jiliang – International Educational Data Mining Society, 2020
Online learning has attracted a large number of participants and is increasingly becoming very popular. However, the completion rates for online learning are notoriously low. Further, unlike traditional education systems, teachers, if any, are unable to comprehensively evaluate the learning gain of each student through the online learning…
Descriptors: Online Courses, Academic Achievement, Prediction, Teaching Methods
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Cepeda, Francisco Javier Delgado – International Association for Development of the Information Society, 2017
This work presents a proposed model in blended learning for a numerical methods course evolved from traditional teaching into a research lab in scientific visualization. The blended learning approach sets a differentiated and flexible scheme based on a mobile setup and face to face sessions centered on a net of research challenges. Model is…
Descriptors: Blended Learning, Models, Methods Courses, Teaching Methods
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Pedro, Neuza – International Association for Development of the Information Society, 2017
The concepts of future classrooms, multimedia labs or active learning space has recently gained prominence in educational research. Evidence-based research has found that well-designed primary school classrooms can boost students' learning. Also, schools' principals, teachers and students are requesting for more flexible, reconfigurable and modern…
Descriptors: Classroom Design, Foreign Countries, Elementary School Teachers, Secondary School Teachers
Li, Ping; Chaby, Lauren E.; Legault, Jennifer; Braithwaite, Victoria A. – International Association for Development of the Information Society, 2015
By combining emerging technologies with cognitive and education theories, we are capitalizing on recent findings from adaptive exploration and embodied learning research to address significant gaps in the education of brain sciences for school children and college level students. Through the development of virtual learning tools in combination…
Descriptors: Teaching Methods, Educational Technology, Technology Uses in Education, Brain Hemisphere Functions
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Couper, Lisa; Johannes, Kristen; Powers, Jackie; Silberglitt, Matt; Davenport, Jodi – Grantee Submission, 2016
Understanding key concepts in molecular biology requires reasoning about molecular processes that are not directly observable and, as such, presents a challenge to students and teachers. We ask whether novel interactive physical models and activities can help students understand key processes in viral replication. Our 3D tangible models are…
Descriptors: Molecular Biology, Scientific Concepts, Science Instruction, Teaching Methods
Rottmann, Thomas; Peter-Koop, Andrea – Mathematics Education Research Group of Australasia, 2016
This paper introduces a revised model for the development of basic computation skills. The model draws on four key phases, which have proven to be important for the development of calculation strategies and stresses the use of gestures and the verbalisation of concrete and mental images. This seems to be of crucial importance for children with…
Descriptors: Special Needs Students, Elementary School Students, Grade 2, Computation
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Zazkis, Dov – North American Chapter of the International Group for the Psychology of Mathematics Education, 2013
This article argues for a shift in how researchers discuss and examine students' uses of representations during their calculus problem solving. An extension of Zazkis, Dubinsky, and Dautermann's (1996) Visualization/Analysis-framework to include physical modes of reasoning is proposed. An example that details how transitions between visual,…
Descriptors: Calculus, Mathematics Instruction, Teaching Methods, Problem Solving
Lehmann, Thomas; Ifenthaler, Dirk – International Association for Development of the Information Society, 2012
This research contributes to answer the question whether learning/cognitive styles of students serve as a justified starting point for creating target-group appropriate instruction. The study was realized in a self-regulated problem-based learning environment. Data of 56 participants on their individual learning styles, their acquired problem…
Descriptors: Foreign Countries, Undergraduate Students, Introductory Courses, Schemata (Cognition)
Hortin, John A. – 1982
One theoretical model for understanding the visual event suggests that a visual event has both a surface (descriptive) and a deeper (experience) level of understanding. Both levels are needed to comprehend and appreciate images, with each level affecting the other. A person's perspective is an important part of the visual event, which depends upon…
Descriptors: Cognitive Processes, Creative Thinking, Memory, Models
Nimocks, Mittie J.; Bromley, Patricia L.; Parsons, Theron E.; Enright, Corinne S.; Gates, Elizabeth A. – 2001
This study examined the effect of covert modeling on communication apprehension, public speaking anxiety, and communication competence. Students identified as highly communication apprehensive received covert modeling, a technique in which one first observes a model doing a behavior, then visualizes oneself performing the behavior and obtaining a…
Descriptors: Communication Apprehension, Communication Research, Communication Skills, Higher Education
Chastain, Garvin; and Others – 1983
G. Wolford's perturbation model of letter identification is designed to account for identification errors of briefly presented characters. Its chief assumptions are that features are extracted in parallel, that some of these features become perturbed or mislocalized, and that mislocalizations are more likely to occur in the direction of the fovea…
Descriptors: Cognitive Processes, Eye Movements, Identification, Language Processing
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