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Kather, Philipp; Duran, Rodrigo; Vahrenhold, Jan – ACM Transactions on Computing Education, 2022
Previous studies on writing and understanding programs presented evidence that programmers beyond a novice stage utilize plans or plan-like structures. Other studies on code composition showed that learners have difficulties with writing, reading, and debugging code where interacting plans are merged into a short piece of code. In this article, we…
Descriptors: Eye Movements, Coding, Algorithms, Schemata (Cognition)
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Mangaroska, Katerina; Sharma, Kshitij; Gaševic, Dragan; Giannakos, Michail – Journal of Computer Assisted Learning, 2022
Background: Problem-solving is a multidimensional and dynamic process that requires and interlinks cognitive, metacognitive, and affective dimensions of learning. However, current approaches practiced in computing education research (CER) are not sufficient to capture information beyond the basic programming process data (i.e., IDE-log data).…
Descriptors: Cognitive Processes, Psychological Patterns, Problem Solving, Programming
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Salvaggio, Samuel; Masson, Nicolas; Andres, Michael – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
Behavioral studies have reported interactions between number processing and spatial attention, suggesting that number processing involves shifting attention along a mental continuum on which numbers are represented in ascending order. However, direct evidence for attention shifts remains scarce, the respective contribution of the horizontal and…
Descriptors: Eye Movements, Spatial Ability, Coding, Cognitive Processes
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Friend, Margaret; Pace, Amy E. – Journal of Cognition and Development, 2016
From early in development, segmenting events unfolding in the world in meaningful ways renders input more manageable and facilitates interpretation and prediction. Yet, little is known about how children process action structure in events composed of multiple coarse-grained actions. More importantly, little is known about the time course of action…
Descriptors: Toddlers, Adults, Motion, Cognitive Processes
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Cullipher, Steven; Sevian, Hannah – Journal of Chemical Education, 2015
Students often face difficulties when presented with chemical structures and asked to relate them to properties of those substances. Learning to relate structures to properties, both in predicting properties based on chemical structures and interpreting properties to infer structure, is pivotal in students' education in chemistry. This troublesome…
Descriptors: Science Instruction, Undergraduate Study, College Science, Chemistry
Clinton, Virginia; Morsanyi, Kinga; Alibali, Martha W.; Nathan, Mitchell J. – Grantee Submission, 2016
Learning from visual representations is enhanced when learners appropriately integrate corresponding visual and verbal information. This study examined the effects of two methods of promoting integration, color coding and labeling, on learning about probabilistic reasoning from a table and text. Undergraduate students (N = 98) were randomly…
Descriptors: Visual Discrimination, Color, Coding, Probability
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Hanley, Mary; Riby, Debbie M.; Carty, Clare; Melaugh McAteer, Annie; Kennedy, Andrew; McPhillips, Martin – Autism: The International Journal of Research and Practice, 2015
Individuals with autism spectrum disorder do not just 'grow out of' their early difficulties in understanding the social world. Even for those who are cognitively able, autism-related difficulties continue into adulthood. Atypicalities attending to and interpreting communicative signals from others can provide barriers to success in education,…
Descriptors: Autism, Pervasive Developmental Disorders, Eye Movements, Antisocial Behavior
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Romero-Hall, Enilda; Watson, Ginger; Papelis, Yiannnis – Journal of Educational Multimedia and Hypermedia, 2014
To examine the visual attention, emotional responses, learning, perceptions and attitudes of learners interacting with an animated pedagogical agent, this study compared a multimedia learning environment with an emotionally-expressive animated pedagogical agent, with a non-expressive animated pedagogical agent, and without an agent. Visual…
Descriptors: Physiology, Emotional Response, Responses, Learning
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Bouchet, Francois; Harley, Jason M.; Trevors, Gregory J.; Azevedo, Roger – Journal of Educational Data Mining, 2013
In this paper, we present the results obtained using a clustering algorithm (Expectation-Maximization) on data collected from 106 college students learning about the circulatory system with MetaTutor, an agent-based Intelligent Tutoring System (ITS) designed to foster self-regulated learning (SRL). The three extracted clusters were validated and…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education, Individualized Instruction
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Sampson, Demetrios G., Ed.; Ifenthaler, Dirk, Ed.; Isaías, Pedro, Ed.; Mascia, Maria Lidia, Ed. – International Association for Development of the Information Society, 2019
These proceedings contain the papers of the 16th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2019), held during November 7-9, 2019, which has been organized by the International Association for Development of the Information Society (IADIS) and co-organised by University Degli Studi di Cagliari, Italy.…
Descriptors: Teaching Methods, Cooperative Learning, Engineering Education, Critical Thinking
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Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection