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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
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
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
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
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
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
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
Wawan Kurniawan; Khairul Anwar; Jufrida Jufrida; Kamid Kamid; Cicyn Riantoni – Journal of Information Technology Education: Innovations in Practice, 2025
Aim/Purpose: This study aims to implement and evaluate a personalized digital learning environment (PDLE) that delivers differentiated instruction for enhancing computational thinking competencies through robotics education. Background: The background emphasizes the growing demand for computational thinking skills in the modern workforce and the…
Descriptors: Individualized Instruction, Electronic Learning, Computation, Thinking Skills