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Showing 1 to 15 of 22 results Save | Export
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Meka N. McCammon; Katie Wolfe; Ruiqin Gao; Angela Starrett – Remedial and Special Education, 2025
Data-based decision-making, which involves evaluating students' progress and making instructional decisions, is an integral competency for preservice teachers. Several studies have found that visual aids, such as decision-making models, may be an effective way to train preservice teachers to make instructional decisions. The purpose of this study…
Descriptors: Data Use, Decision Making, Preservice Teacher Education, Teacher Competencies
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Hu, Mingjia; Nosofsky, Robert M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
In a novel version of the classic dot-pattern prototype-distortion paradigm of category learning, Homa et al. (2019) tested a condition in which individual training instances never repeated, and observed results that they claimed severely challenged exemplar models of classification and recognition. Among the results was a dissociation in which…
Descriptors: Classification, Recognition (Psychology), Computation, Models
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Elatawy, Safaa M.; Hawa, Doaa M.; Ewees, A. A.; Saad, Abeer M. – Education and Information Technologies, 2020
Sign language is considered as the important communication means among the normal people and the deaf. Therefore, developing communication systems to help those people is an important issue. In this paper, the neutrosophic technique and fuzzy c-means are applied to detect and recognize the alphabet Arabic sign language. The proposed system starts…
Descriptors: Sign Language, Semitic Languages, Alphabets, Pattern Recognition
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Cohausz, Lea; Tschalzev, Andrej; Bartelt, Christian; Stuckenschmidt, Heiner – International Educational Data Mining Society, 2023
Demographic features are commonly used in Educational Data Mining (EDM) research to predict at-risk students. Yet, the practice of using demographic features has to be considered extremely problematic due to the data's sensitive nature, but also because (historic and representation) biases likely exist in the training data, which leads to strong…
Descriptors: Information Retrieval, Data Processing, Pattern Recognition, Information Technology
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Pasnak, Robert; Thompson, Brittany N.; Gagliano, Katrina M.; Righi, Matthew T.; Gadzichowski, K. Marinka – Journal of Educational Research, 2019
Knowing what kinds of patterns are easy for children to recognize early in their kindergarten year, and what kinds are difficult, can be a useful guide for patterning instruction. Hence, the ability of children to recognize complex patterns early in their kindergarten year was assessed in two experiments. One experiment showed that the children…
Descriptors: Kindergarten, Young Children, Pattern Recognition, Accuracy
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Carrigan, Ann J.; Stoodley, Paul; Fernandez, Fernando; Sunday, Mackenzie A.; Wiggins, Mark W. – Applied Cognitive Psychology, 2020
Echocardiographers are highly specialised, skilled practitioners who play a critical role in medical imaging diagnostics. Yet, little is known about the cognitive and perceptual attributes of experts within this domain. This study was designed to examine the role of individual differences in expertise. Specifically, the contribution of a domain…
Descriptors: Individual Differences, Diagnostic Tests, Radiology, Visual Perception
Mielicki, Marta K.; Fitzsimmons, Charles J.; Woodbury, Lauren H.; Marshal, Hannah; Zhang, Dake; Rivera, Ferdinand D.; Thompson, Clarissa A. – Grantee Submission, 2021
Prior work exploring preschool-aged children's reasoning with repeating patterns has shown that patterning ability is an important predictor of math achievement; however, there is limited research exploring older children's growing pattern task performance. The current study tested whether presentation format impacts performance on growing pattern…
Descriptors: Elementary School Students, Mathematics Skills, Number Concepts, Word Problems (Mathematics)
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Pugh, Samuel L.; Subburaj, Shree Krishna; Rao, Arjun Ramesh; Stewart, Angela E. B.; Andrews-Todd, Jessica; D'Mello, Sidney K. – International Educational Data Mining Society, 2021
We investigated the feasibility of using automatic speech recognition (ASR) and natural language processing (NLP) to classify collaborative problem solving (CPS) skills from recorded speech in noisy environments. We analyzed data from 44 dyads of middle and high school students who used videoconferencing to collaboratively solve physics and math…
Descriptors: Problem Solving, Cooperation, Middle School Students, High School Students
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Fayed, Karim; Franken, Birgit; Berkling, Kay – Research-publishing.net, 2020
The iRead EU Project has released literacy games for Spanish, German, Greek, and English for L1 and L2 acquisition. In order to understand the impact of these games on reading skills for L1 German pupils, the authors employed an eye-tracking recording of pupils' readings on a weekly basis as part of an after-school reading club. This work seeks to…
Descriptors: Eye Movements, Measurement, Data Interpretation, Reading Skills
Beck, Melanie Renee – ProQuest LLC, 2018
The large flood of data flowing from observatories presents significant challenges to astronomy and cosmology--challenges that will only be magnified by projects currently under development. Growth in both volume and velocity of astrophysics data is accelerating: whereas the Sloan Digital Sky Survey (SDSS) has produced 60 terabytes of data in the…
Descriptors: Classification, Astronomy, Physics, Measurement
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Koury, Hannah F.; Leonard, Carly J.; Carry, Patrick M.; Lee, Lisa M. J. – Anatomical Sciences Education, 2019
Histology is a visually oriented, foundational anatomical sciences subject in professional health curricula that has seen a dramatic reduction in educational contact hours and an increase in content migration to a digital platform. While the digital migration of histology laboratories has transformed histology education, few studies have shown the…
Descriptors: Expertise, Pattern Recognition, Novices, Efficiency
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St-Onge, Christina; Landry, Marjolaine; Xhignesse, Marianne; Voyer, Gilles; Tremblay-Lavoie, Stéphanie; Mamede, Sílvia; Schmidt, Henk; Rikers, Remy – Advances in Health Sciences Education, 2016
Since cognitive abilities have been shown to decrease with age, it is expected that older physicians would not perform as well as their younger counterparts on clinical cases unless their expertise can counteract the cognitive effects of aging. However, studies on the topic have shown contradictory results. This study aimed to further investigate…
Descriptors: Cognitive Ability, Age, Physicians, Expertise
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Knudsen, Lars; Nawrotzki, Ralph; Schmiedl, Andreas; Mühlfeld, Christian; Kruschinski, Carsten; Ochs, Matthias – Anatomical Sciences Education, 2018
Medical students have difficulties in interpreting two-dimensional (2D) topographic anatomy on sectional images. Hands-on and no hands-on training in ultrasound imaging facilitate learning topographic anatomy. Hands-on training is linked with active search for patterns of anatomical structures and might train pattern recognition for image…
Descriptors: Diagnostic Tests, Medical Students, Anatomy, Medical Education
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Craik, Fergus I. M.; Rose, Nathan S.; Gopie, Nigel – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
The article reports 4 experiments that explore the notion of recognition without awareness using words as the material. Previous work by Voss and associates has shown that complex visual patterns were correctly selected as targets in a 2-alternative forced-choice (2-AFC) recognition test although participants reported that they were guessing. The…
Descriptors: Experiments, Pattern Recognition, Metacognition, Recall (Psychology)
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Yang, Juan; Huang, Zhi Xing; Gao, Yue Xiang; Liu, Hong Tao – IEEE Transactions on Learning Technologies, 2014
During the past decade, personalized e-learning systems and adaptive educational hypermedia systems have attracted much attention from researchers in the fields of computer science Aand education. The integration of learning styles into an intelligent system is a possible solution to the problems of "learning deviation" and…
Descriptors: Cognitive Style, Pattern Recognition, Intelligent Tutoring Systems, Prediction
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