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Zhichun Liu; Zarina Gearty; Eleanor Richard; Chandra Hawley Orrill; Shakhnoza Kayumova; Ramprasad Balasubramanian – International Journal of STEM Education, 2024
Although computational thinking (CT) is becoming increasingly prevalent in K-12 education, many teachers find it challenging to integrate it with their classroom learning. In this systematic review, we have reviewed empirical evidence on teachers' computational-thinking-focused professional development (PD). The findings depict the landscape of…
Descriptors: Computation, Thinking Skills, Elementary Secondary Education, Teaching Methods
Tihomir Asparouhov; Bengt Muthén – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Penalized structural equation models (PSEM) is a new powerful estimation technique that can be used to tackle a variety of difficult structural estimation problems that can not be handled with previously developed methods. In this paper we describe the PSEM framework and illustrate the quality of the method with simulation studies.…
Descriptors: Structural Equation Models, Computation, Factor Analysis, Measurement Techniques
Shang Shanshan; Geng Sen – Journal of Computer Assisted Learning, 2024
Background: Artificial intelligence-generated content (AIGC) has stepped into the spotlight with the emergence of ChatGPT, making effective use of AIGC for education a hot topic. Objectives: This study seeks to explore the effectiveness of integrating AIGC into programming learning through debugging. First, the study presents three levels of AIGC…
Descriptors: Artificial Intelligence, Educational Technology, Technology Integration, Programming
Heterogeneity Estimation in Meta-Analysis: Investigating Methods for Dependent Effect Size Estimates
Jingru Zhang; James E. Pustejovsky – Society for Research on Educational Effectiveness, 2024
Background/Context: In meta-analysis examining educational intervention, characterizing heterogeneity and exploring the sources of variation in synthesized effects have become increasingly prominent areas of interest. When combining results from a collection of studies, statistical dependency among their effects size estimates will arise when a…
Descriptors: Meta Analysis, Investigations, Effect Size, Computation
Idam Ragil Widianto Atmojo; Roy Ardiansyah; Joko Tri Widianto – Elementary School Forum (Mimbar Sekolah Dasar), 2024
This study aims to determine whether there is a relationship between linguistic intelligence and computational thinking. The research method employed is quantitative, utilizing a correlational research design. The research sample comprised 73 students from 4 elementary schools in the Laweyan District, Surakarta City. Data collection involved a…
Descriptors: Intelligence, Linguistics, Computation, Grade 5
Clark, Ted M.; Dickson-Karn, Nicole M.; Anderson, Ellie – Journal of Chemical Education, 2022
Student performance calculating the pH of a strong acid or strong base solution before and after instruction in general and analytical chemistry courses was investigated using open-response questions in which a pH equation was not provided. Prior to instruction, students in both classes scored very low. General chemistry students lacking prior…
Descriptors: Chemistry, Science Activities, Computation, Scientific Concepts
Cairns, Maxwell; Prendergast, Luke A. – Research Synthesis Methods, 2022
As a measure of heterogeneity in meta-analysis, the coefficient of variation (CV) has been recently considered, providing researchers with a complement to the very popular I[superscript 2] measure. While I[superscript 2] measures the proportion of total variance that is due to variance of the random effects, the CV is the ratio of the standard…
Descriptors: Meta Analysis, Statistical Analysis, Intervals, Computation
Julia-Kim Walther; Martin Hecht; Steffen Zitzmann – Structural Equation Modeling: A Multidisciplinary Journal, 2025
Small sample sizes pose a severe threat to convergence and accuracy of between-group level parameter estimates in multilevel structural equation modeling (SEM). However, in certain situations, such as pilot studies or when populations are inherently small, increasing samples sizes is not feasible. As a remedy, we propose a two-stage regularized…
Descriptors: Sample Size, Hierarchical Linear Modeling, Structural Equation Models, Matrices
Caitlin Snyder; Clayton Cohn; Joyce Horn Fonteles; Gautam Biswas – Grantee Submission, 2025
Recently, there has been a surge in developing curricula and tools that integrate computing (C) into Science, Technology, Engineering, and Math (STEM) programs. These environments foster authentic problem-solving while facilitating students' concurrent learning of STEM+C content. In our study, we analyzed students' behaviors as they worked in…
Descriptors: Learning Analytics, Problem Solving, STEM Education, Computation
Holly Tate; Anna Markel – Mathematics Teacher: Learning and Teaching PK-12, 2025
In the primary grades, engaging in counting collections provides students with regular opportunities to make sense of numbers in dynamic ways, build social skills, and communicate about mathematics. This article aims to guide elementary educators through a team's process of planning and implementing counting collections in kindergarten. Counting…
Descriptors: Kindergarten, Early Childhood Education, Elementary School Mathematics, Mathematics Instruction
Rino Richardo; Siti Irene Astuti Dwiningrum; Rahayu Condro Murti; Ariyadi Wijaya; Robiatul Adawiya; Ivan Luthfi Ihwani; Martalia Ardiyaningrum; Anggi Erna Aryani – Journal of Education and Learning (EduLearn), 2025
The aim of this qualitative research is to describe the thinking process as a profile of students' mathematical computational thinking (CT) skills in terms of CT attitudes. The subjects in this study were 66 junior high school students in grade IX. There were three students taken by purposive sampling based on high, medium, and low CT attitude.…
Descriptors: Computation, Thinking Skills, Junior High School Students, Grade 9
Zuofei Geng; Bei Zeng; A. Y. M. Atiquil Islam; Xuanyi Zhang; Jin Huang – Education and Information Technologies, 2025
Computational thinking (CT) is widely recognized as a fundamental skill in the information age. However, within the context of Chinese early childhood education (ECE), CT remains underrepresented, with a notable gap in the availability of developmentally appropriate and rigorously validated assessment tools designed specifically for…
Descriptors: Mental Computation, Test Validity, Kindergarten, Young Children
Yuhan Jiang; Ting Wang – Journal of Speech, Language, and Hearing Research, 2025
Purpose: This study focuses on examining how individual differences, including biological, linguistic, and cognitive traits, and prosodic focus affect the computation biases and reaction time (RT) associated with quantity scalar terms in Mandarin-speaking children aged 3-8 years. Method: The participants of this study were 27 Mandarin-speaking…
Descriptors: Mandarin Chinese, Children, Individual Differences, Computation
Hanum Isfaeni; S. Supriyatin; Reza Mahardika; Mutiara Hasna Putri Suri; Sekar Darmastuti – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2025
Blended learning in higher education is evolving to be more personalized, diverse, innovative, student-centered, and high-quality. It presents an opportunity to redesign and enhance curricula. Higher education institutions are adopting a blended approach to complement traditional courses and enrich student learning experiences. However, research…
Descriptors: Blended Learning, Graduate Students, Masters Programs, Information Science Education
Kuan-Yu Jin; Yi-Jhen Wu; Ming Ming Chiu – Measurement: Interdisciplinary Research and Perspectives, 2025
Many education tests and psychological surveys elicit respondent views of similar constructs across scenarios (e.g., story followed by multiple choice questions) by repeating common statements across scales (one-statement-multiple-scale, OSMS). However, a respondent's earlier responses to the common statement can affect later responses to it…
Descriptors: Administrator Surveys, Teacher Surveys, Responses, Test Items

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