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Showing all 13 results Save | Export
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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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Shilpa Bhaskar Mujumdar; Haridas Acharya; Shailaja Shirwaikar; Prafulla Bharat Bafna – Journal of Applied Research in Higher Education, 2024
Purpose: This paper defines and assesses student learning patterns under the influence of problem-based learning (PBL) and their classification into a reasonable minimum number of classes. Study utilizes PBL implemented in an undergraduate Statistics and Operations Research course for techno-management students at a private university in India.…
Descriptors: Problem Based Learning, Information Retrieval, Data Analysis, Pattern Recognition
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Fujino, Hanako – Language Learning Journal, 2021
This study reports on the findings of a questionnaire administered to 93 students studying Japanese as a foreign language (JFL) at British universities, focusing on their views of the role of grammar in their learning of Japanese. Learners' views are important because mismatches with their teachers' views can affect their learning negatively.…
Descriptors: Grammar, Second Language Learning, Second Language Instruction, Teaching Methods
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Zhang, Zhaoli; Li, Zhenhua; Liu, Hai; Cao, Taihe; Liu, Sannyuya – Journal of Educational Computing Research, 2020
Online learning engagement detection is a fundamental problem in educational information technology. Efficient detection of students' learning situations can provide information to teachers to help them identify students having trouble in real time. To improve the accuracy of learning engagement detection, we have collected two aspects of…
Descriptors: Learner Engagement, Learning Analytics, Nonverbal Communication, Pattern Recognition
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Schüler-Meyer, Alexander – International Journal of Research in Undergraduate Mathematics Education, 2019
In the transition from secondary to tertiary mathematics, students try to participate in tertiary mathematics by replicating familiar school mathematical discourses. The objective of this case study is to investigate the conditions and affordances under which students proceed from familiar school mathematical discourses to new, tertiary discourses…
Descriptors: Learning Processes, Arithmetic, College Mathematics, Secondary School Mathematics
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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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Holzmann, Vered; Mischari, Shoshana; Goldberg, Shoshana; Ziv, Amitai – Learning Organization, 2012
Purpose: This article aims to present a unique systematic and validated method for creating a linkage between past experiences and management of future occurrences in an organization. Design/methodology/approach: The study is based on actual data accumulated in a series of projects performed in a major medical center. Qualitative and quantitative…
Descriptors: Medical Services, Hospitals, Knowledge Management, Identification
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Rawson, Katherine A.; Dunlosky, John – Journal of Experimental Psychology: General, 2011
The literature on testing effects is vast but supports surprisingly few prescriptive conclusions for how to schedule practice to achieve both durable and efficient learning. Key limitations are that few studies have examined the effects of initial learning criterion or the effects of relearning, and no prior research has examined the combined…
Descriptors: Learning Processes, Efficiency, Time Management, Memory
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Blikstein, Paulo; Worsley, Marcelo; Piech, Chris; Sahami, Mehran; Cooper, Steven; Koller, Daphne – Journal of the Learning Sciences, 2014
New high-frequency, automated data collection and analysis algorithms could offer new insights into complex learning processes, especially for tasks in which students have opportunities to generate unique open-ended artifacts such as computer programs. These approaches should be particularly useful because the need for scalable project-based and…
Descriptors: Programming, Computer Science Education, Learning Processes, Introductory Courses
Guo, Zhen – ProQuest LLC, 2010
A basic and classical assumption in the machine learning research area is "randomness assumption" (also known as i.i.d assumption), which states that data are assumed to be independent and identically generated by some known or unknown distribution. This assumption, which is the foundation of most existing approaches in the literature, simplifies…
Descriptors: Artificial Intelligence, Man Machine Systems, Probability, Data
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Benson, Phil – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2011
One of the strengths of narrative research in TESOL is its potential to provide insight into long-term language learning experiences that cannot be investigated in real time. Reliance on retrospection, however, brings two problems that are addressed in this article through the concept of "language learning careers". The first problem is…
Descriptors: Foreign Countries, College Freshmen, Second Language Learning, English (Second Language)
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Dunphy, Bruce C.; Williamson, Stacey L. – Advances in Health Sciences Education, 2004
Firstly, the many characteristics of expertise are examined: they include aspects of pattern recognition, knowledge, skill, flexibility, metacognitive monitoring, available cognitive space and teaching abilities. Secondly, three educational models from different domains(Nursing, Surgical Education, Education) are analysed, compared and contrasted,…
Descriptors: Expertise, Pattern Recognition, Learning Processes, Teaching Methods
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers