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Xinlei Li; Guoyuan Sang; Martin Valcke; Johan van Braak – Journal of Educational Computing Research, 2024
In the context of digital technologies, computational thinking (CT) is considered a key competence of primary school teachers. However, assessment tools to measure in-service teachers' CT competence are rare. The current study explains the design, development, and validation of a scale to determine the in-service teachers' mastery level of their…
Descriptors: Computation, Thinking Skills, Elementary School Teachers, Teacher Competencies
Brian P. Katz – PRIMUS, 2024
This paper shares a flexible activity for engaging people in mathematical inquiry that does not depend on fixed prior knowledge built on a famous property of Möbius strips. The discussion includes the implementation of the activity and its extensions, facilitator moves and common participant thinking, suggestions for adaptation and integration…
Descriptors: Mathematics Activities, Inquiry, Active Learning, Mathematics Skills
Wahid Yunianto; Houssam Sami El-Kasti; Rully Charitas Indra Prahmana; Zsolt Lavicza – Journal of Information Technology Education: Innovations in Practice, 2024
Aim/Purpose: This study presents some activities that integrate computational thinking (CT) into mathematics lessons utilizing GeoGebra to promote constructionist learning. Background: CT activities in the Indonesian curriculum are dominated by worked examples with less plugged-mode activities that might hinder students from acquiring CT skills.…
Descriptors: Computation, Thinking Skills, Mathematics Instruction, Constructivism (Learning)
Jian Liao; Linrong Zhong; Longting Zhe; Handan Xu; Ming Liu; Tao Xie – IEEE Transactions on Learning Technologies, 2024
ChatGPT has received considerable attention in education, particularly in programming education because of its capabilities in automated code generation and program repairing and scoring. However, few empirical studies have investigated the use of ChatGPT to customize a learning system for scaffolding students' computational thinking. Therefore,…
Descriptors: Scaffolding (Teaching Technique), Thinking Skills, Computation, Artificial Intelligence
Lihui Sun; Junjie Liu – Educational Technology Research and Development, 2024
This study investigated the effects of the single programming approach (plugged-in and unplugged) and the mixed programming approach (plugged-in-first and unplugged-first) on the computational thinking (CT) skills of first-grade students. However, focusing only on the programming learning approach itself is insufficient. Therefore, the influences…
Descriptors: Thinking Skills, Computation, Grade 1, Elementary School Students
Terry A. Ackerman; Deborah L. Bandalos; Derek C. Briggs; Howard T. Everson; Andrew D. Ho; Susan M. Lottridge; Matthew J. Madison; Sandip Sinharay; Michael C. Rodriguez; Michael Russell; Alina A. Davier; Stefanie A. Wind – Educational Measurement: Issues and Practice, 2024
This article presents the consensus of an National Council on Measurement in Education Presidential Task Force on Foundational Competencies in Educational Measurement. Foundational competencies are those that support future development of additional professional and disciplinary competencies. The authors develop a framework for foundational…
Descriptors: Educational Assessment, Competence, Skill Development, Communication Skills
Zhenhua Wu; Linting Zheng; Li'an Huang – Education and Information Technologies, 2024
Programming has been considered a crucial "object to think with", which can integrate with various disciplines and facilitate learning in other areas. However, existing research primarily focuses on how children learn to code rather than how coding helps them to learn. To address this gap, a quasi-experimental case study was conducted…
Descriptors: Coding, Robotics, Programming, Kindergarten
Daniel Seddig – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The latent growth model (LGM) is a popular tool in the social and behavioral sciences to study development processes of continuous and discrete outcome variables. A special case are frequency measurements of behaviors or events, such as doctor visits per month or crimes committed per year. Probability distributions for such outcomes include the…
Descriptors: Growth Models, Statistical Analysis, Structural Equation Models, Crime
Duy Pham; Kirk Vanacore; Adam Sales; Johann Gagnon-Bartsch – Society for Research on Educational Effectiveness, 2024
Background: Education researchers typically estimate average program effects with regression; if they are interested in heterogeneous effects, they include an interaction in the model. Such models quantify and infer the influences of each covariate on the effect via interaction coefficients and their associated p-values or confidence intervals.…
Descriptors: Educational Research, Educational Researchers, Regression (Statistics), Artificial Intelligence
Valerie Critten; Hannah Hagon; Melike Aslan Unlu – International Journal of Computer Science Education in Schools, 2024
In light of current developments, there is an increasing effort to integrate computing-oriented activities into the education of children as young as two years old. Although the computing strand is not officially addressed in the Early Years Foundation Stage Statutory Framework (DfES, 2024), a small number of early years teachers in England…
Descriptors: Foreign Countries, Early Childhood Education, Computation, Problem Solving
Ratni Purwasih; Turmudi; Jarnawi Afgani Dahlan – Journal on Mathematics Education, 2024
Some countries, including Indonesia, have a framework for understanding how students receive and process math concepts as new knowledge through learning styles. Learning style, particularly Kolb's model, is one of the learning styles that contribute to students' success in learning. Experts have explored the characteristics of Kolb's learning…
Descriptors: Thinking Skills, Computation, Mathematical Concepts, Cognitive Style
Bryan Keller; Zach Branson – Asia Pacific Education Review, 2024
Causal inference involves determining whether a treatment (e.g., an education program) causes a change in outcomes (e.g., academic achievement). It is well-known that causal effects are more challenging to estimate than associations. Over the past 50 years, the potential outcomes framework has become one of the most widely used approaches for…
Descriptors: Causal Models, Educational Research, Regression (Statistics), Probability
Danxia Xing; Yuan Zeng – Education and Information Technologies, 2025
Computational thinking skills as core skills for emerging citizens are receiving great attention from scholars and educators. Various measures have been taken to improve students' computational thinking skills. Among these measures, the smart classroom, as a technology-enhanced learning environment, plays an important role in cultivating students'…
Descriptors: Secondary School Students, Information Literacy, Digital Literacy, Information Technology
Diane Vassallo – Discover Education, 2025
As digital integration transforms modern society, equipping young learners with computational thinking (CT) skills has become an essential educational goal. However, many education systems face challenges in adapting curricula to include CT, particularly in early childhood education where resources, teacher preparedness, and instructional design…
Descriptors: Computation, Thinking Skills, Grade 1, Elementary School Students
Marios Pittalis – Mathematics Education Research Journal, 2025
A theoretical model describing Grade 7 students' rational number sense was formulated and validated empirically (n = 360), hypothesizing that rational number sense is a general construct consisting of three factors: basic rational number sense, arithmetic sense, and flexibility with rational numbers. Data analysis suggested that rational-number…
Descriptors: Middle School Mathematics, Middle School Students, Grade 7, Numbers

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