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Showing 1 to 15 of 24 results Save | Export
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Catherine Patocka; Lara Cooke; Irene W. Y. Ma; Rachel H. Ellaway – Advances in Health Sciences Education, 2025
Although feedback is often presented as if it were a well-understood concept in health professions education, in practice it can mean many things. For some, feedback is a conversation about defining and improving performance, while for others it is the information generated by assessments and tools. Indeed, feedback has variously been defined as a…
Descriptors: Feedback (Response), Medical Education, Pattern Recognition, Educational Research
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Luis Eduardo Muñoz Guerrero; Yony Fernando Ceballos; Luis David Trejos Rojas – Contemporary Educational Technology, 2025
Recent progress made in conversational AI lays emphasis on the need for development of language models that possess solid logical reasoning skills and further extrapolated capabilities. An examination into this phenomenon investigates how well the Capybara dataset can improve one's ability to reason using language-based systems. Multiple…
Descriptors: Artificial Intelligence, Logical Thinking, Models, Natural Language Processing
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Antoine Bellemare-Pepin; Karim Jerbi – Journal of Creative Behavior, 2025
Creativity is a cornerstone of human evolution and is typically defined as the multifaceted ability to produce novel and useful artifacts. Although much research has focused on divergent thinking, growing evidence underscores the importance of perceptual processing in fostering creativity, particularly through perceptual flexibility. The present…
Descriptors: Creativity, Sensory Experience, Creative Thinking, Attention
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Guiyun Feng; Honghui Chen – Education and Information Technologies, 2025
Data mining has been successfully and widely utilized in educational information systems, and an important research field has been formed, which is educational data mining. Process mining inherits the characteristics of data mining which can not only use historical data in the system to analyze learning behavior and predict academic performance,…
Descriptors: Educational Research, Artificial Intelligence, Data Use, Algorithms
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Irina Braun; Scott E. Lewis; Nicole Graulich – Chemistry Education Research and Practice, 2025
The ability to reason with representations is pivotal for successful learning in Organic Chemistry and is closely linked to representational competence. Given the visual nature of this discipline, this comprises competency in extracting and processing relevant visual information. With regard to the resonance concept, proficiency in identifying…
Descriptors: Undergraduate Students, Organic Chemistry, Science Instruction, Pattern Recognition
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Jan Gunis; L'ubomir Snajder; L'ubomir Antoni; Peter Elias; Ondrej Kridlo; Stanislav Krajci – IEEE Transactions on Education, 2025
Contribution: We present a framework for teachers to investigate the relationships between attributes of students' solutions in the process of problem solving or computational thinking. We provide visualization and evaluation techniques to find hidden patterns in the students' solutions which allow teachers to predict the specific behavior of…
Descriptors: Artificial Intelligence, Educational Games, Game Based Learning, Problem Solving
Chepina Rumsey; Jody Guarino – Solution Tree, 2025
Authors Chepina Rumsey and Jody Guarino continue their advocacy for math-curious classrooms, building on their work in Nurturing Math Curiosity With Learners in Grades K-2. They argue that curiosity not only engages students but also invigorates them to reason and develop a conceptual understanding of grade-level mathematical ideas. Dive into…
Descriptors: Student Attitudes, Student Interests, Mathematics, Mathematical Logic
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Qi Lin; Koji Matsunobu – Music Education Research, 2025
Despite extensive research and applications of sight-reading instruction in Western countries, little is known about how sight-reading is perceived and taught in China. This paper bridges this gap by exploring the perceptions and teaching strategies of nine lecturers from six Chinese universities. Classroom observations, semi-structured…
Descriptors: Foreign Countries, Music Education, Music Reading, College Faculty
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Kurt Winkler; Martin Schöfl; Liane Kaufmann; Christoph Weber – Discover Education, 2025
Background and objectives: An early understanding of numerosity is crucial to developing proficiency in arithmetic, and rapid pattern recognition via subitizing is key in this process. The training app "LORE" specifically targets and cultivates pattern recognition skills from the beginning of formal schooling. This study investigated…
Descriptors: Mathematics Instruction, Arithmetic, Elementary School Students, Grade 1
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Tamara Dakic; Tijana Cvetic Antic; Tanja Jevdjovic; Iva Lakic; Aleksandra Ruzicic; Predrag Vujovic – Advances in Physiology Education, 2025
Acid-base physiology is widely recognized as one of the most conceptually challenging topics in undergraduate education due to its interdisciplinary nature and the necessity for both mechanistic and integrative understanding. This article presents a structured, system-based teaching framework designed to enhance student comprehension of acid-base…
Descriptors: Physiology, Scientific Concepts, Concept Mapping, Undergraduate Students
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Astuti Astuti; Evi Suryawati; Elfis Suanto; Putri Yuanita; Eddy Noviana – Journal of Pedagogical Research, 2025
Computational Thinking (CT) skills are increasingly recognized as essential for junior high school students, especially in addressing the demands of the digital era. This study explores how CT skills--decomposition, pattern recognition, abstraction, and algorithmic thinking--manifest in learning statistics based on students' cognitive abilities. A…
Descriptors: Computation, Thinking Skills, Junior High School Students, Statistics Education
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Emily R. Fyfe; Giulia A. Borriello – Child Development Perspectives, 2025
Researchers agree that both domain-general skills and domain-specific skills contribute to mathematics knowledge, but questions arise as to which skills can and should be trained to improve children's learning outcomes. In this article, we synthesize research on training three domain-general constructs in early childhood (patterning skills,…
Descriptors: Early Childhood Education, Preschool Children, Mathematics Education, Pattern Recognition
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Lorien Cafarella; Lucas Vasconcelos – Education and Information Technologies, 2025
Middle school students often enter Computer Science (CS) classes without previous CS or Computational Thinking (CT) instruction. This study evaluated how Code.org's block-based programming curriculum affects middle school students' CT skills and attitudes toward CT and CS. Sixteen students participated in the study. This was a mixed methods action…
Descriptors: Middle School Students, Computation, Thinking Skills, Problem Solving
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Ee-Seul Yoon; Corinne Barrett DeWiele – International Journal of Education Policy and Leadership, 2025
This study examines the impact of school choice policy on spatial inequity and the segregation of secondary schools in Montréal, Canada's second-largest city. A critical policy geography perspective is applied to understand the significance of spatial locations of secondary schools and their programs of choice. This study utilizes Canadian census…
Descriptors: Foreign Countries, School Choice, Geographic Location, Pattern Recognition
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Jacques Pesnot Lerousseau; Maude Denis; Stéphane Roman; Daniele Schön – Journal of Speech, Language, and Hearing Research, 2025
Purpose: Prelingual deaf children with cochlear implants show lower digit span test scores compared to normal-hearing peers, suggesting a working memory impairment. To pinpoint more precisely the subprocesses responsible for this impairment, we designed a sequence reproduction task with varying length (two to six stimuli), modality (auditory or…
Descriptors: Children, Hearing (Physiology), Assistive Technology, Short Term Memory
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