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Pablo Flores Romero; Kin Nok Nicholas Fung; Guang Rong; Benjamin Ultan Cowley – npj Science of Learning, 2025
Large Language Models (LLMs) present a radically new paradigm for the study of "information foraging behavior." We study how LLM technology is used for pedagogical content creation by a sample of 25 participants in a doctoral-level Artificial Intelligence (AI) in Education course, and the role of computational-thinking skills in shaping…
Descriptors: Man Machine Systems, Artificial Intelligence, Natural Language Processing, Interaction
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
David Muñez; Josetxu Orrantia; Rosario Sanchez; Lieven Verschaffel; Laura Matilla – Journal of Cognition and Development, 2025
Previous research has demonstrated a link between children's ability to name canonical finger configurations and their mathematical abilities. This study aimed to investigate the nature of this association, specifically exploring whether the relationship is skill and handshape specific and identifying the underlying mechanisms involved.…
Descriptors: Foreign Countries, Elementary School Mathematics, Elementary School Students, Elementary School Teachers
Ally Patterson; Robin Moyher; Robert Pasnak; Barbara J. Kaminski – Education and Treatment of Children, 2025
As early as first grade, some children are more likely than others to perform arithmetic using inefficient or other overt counting strategies. To partially address this problem, the primary investigator developed a skill hierarchy with procedures based on applied behavior analysis. The novel early-intervention program included a combination of…
Descriptors: Early Intervention, Mathematics Skills, Arithmetic, Applied Behavior Analysis
MiJeong Kim; JaMee Kim; WonGyu Lee – Education and Information Technologies, 2025
In the digital age, computational thinking (CT)-based problem-solving skills have emerged as essential competencies. Particularly, students with intellectual disabilities need equal educational opportunities and high-quality informatics education to cultivate CT-based problem-solving skills. However, research on the enhancement of CT-based…
Descriptors: Intellectual Disability, Programming, Computation, Thinking Skills
Ni Cheng; Siti Zuraidah Md Osman – Journal of Education and e-Learning Research, 2025
This study explores the current status of computational thinking (CT) skills among first-year university students and examines whether any differences exist across genders, geographic backgrounds and academic disciplines with programming learning experience given the growing interest in computational thinking (CT) in recent years. It also…
Descriptors: Computation, Thinking Skills, College Freshmen, Algorithms
Morgan M. Fong; David DeLiema; Virginia J. Flood; Oia Walker-van Aalst – International Journal of Computer-Supported Collaborative Learning, 2025
Working solutions to problems are not definitive end points. As a result, code that is technically correct can still be treated as needing revising -- a practice in computer programming known as refactoring. We document how late elementary to middle school students and their undergraduate instructors weigh the possibility of refactoring working…
Descriptors: Computation, Thinking Skills, Norms, Computer Science Education
Rebecca McGregor Reiner; Diana Leyva; Andrew Ribner; Melissa E. Libertus – Journal of Numerical Cognition, 2025
Evidence of positive associations between the frequency of home math activities and preschool children's math skills is mixed, and the operationalization of home math activities varies across studies. We test whether home math activities can be grouped by activity factors based on the math subdomain they target (i.e., counting and cardinality,…
Descriptors: Factor Analysis, Home Instruction, Mathematics Activities, Mathematics Skills
Robitzsch, Alexander – Journal of Intelligence, 2020
The last series of Raven's standard progressive matrices (SPM-LS) test was studied with respect to its psychometric properties in a series of recent papers. In this paper, the SPM-LS dataset is analyzed with regularized latent class models (RLCMs). For dichotomous item response data, an alternative estimation approach based on fused regularization…
Descriptors: Statistical Analysis, Classification, Intelligence Tests, Test Items
Bom, Pedro R. D.; Rachinger, Heiko – Research Synthesis Methods, 2020
Meta-studies are often conducted on empirical findings obtained from overlapping samples. Sample overlap is common in research fields that strongly rely on aggregated observational data (eg, economics and finance), where the same set of data may be used in several studies. More generally, sample overlap tends to occur whenever multiple estimates…
Descriptors: Meta Analysis, Sampling, Research Problems, Computation
Yamaguchi, Kazuhiro; Okada, Kensuke – Journal of Educational and Behavioral Statistics, 2020
In this article, we propose a variational Bayes (VB) inference method for the deterministic input noisy AND gate model of cognitive diagnostic assessment. The proposed method, which applies the iterative algorithm for optimization, is derived based on the optimal variational posteriors of the model parameters. The proposed VB inference enables…
Descriptors: Bayesian Statistics, Statistical Inference, Cognitive Measurement, Mathematics
Shi, Jiandong; Luo, Dehui; Weng, Hong; Zeng, Xian-Tao; Lin, Lu; Chu, Haitao; Tong, Tiejun – Research Synthesis Methods, 2020
When reporting the results of clinical studies, some researchers may choose the five-number summary (including the sample median, the first and third quartiles, and the minimum and maximum values) rather than the sample mean and standard deviation (SD), particularly for skewed data. For these studies, when included in a meta-analysis, it is often…
Descriptors: Statistics, Computation, Sample Size, Mathematical Formulas
Clevenger, Kimberly A.; Pfeiffer, Karin A.; Montoye, Alexander H. K. – Measurement in Physical Education and Exercise Science, 2020
Free-living comparability of wGT3X-BT and GT9X ActiGraphs has not been verified. Participants (n = 34, 35% females, 7-17 y) wore hip-worn monitors for one week. Vector magnitude (VM; 15-s epoch), Mean Amplitude Deviation (MAD) and Euclidean Norm Minus One (ENMO) (5-s epoch), and percent of time spent in each activity intensity (using cut-points)…
Descriptors: Measurement Equipment, Physical Activity Level, Youth, Computation
Németh, László – International Journal of Mathematical Education in Science and Technology, 2020
Several articles deal with tilings with squares and dominoes on 2-dimensional boards, but only a few on boards in 3-dimensional space. We examine a tiling problem with coloured cubes and bricks on a (2 × 2 × "n")-board in three dimensions. After a short introduction and the definition of breakability we show a way to get the number of…
Descriptors: Geometry, Mathematical Logic, Validity, Computation
Priyanto, Aan; Rahmawati, Ita; Aji, Mahardika Prasetya – Physics Education, 2020
An experiment using the volumetric flux of a water stream was used to find the initial velocity of the water as it performs parabolic motion. The trajectories were measured with different initial velocities, comparing the maximum height and range values with the theoretical calculations. The closeness of the measured values to the calculations…
Descriptors: Science Instruction, Science Experiments, Motion, Physics

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