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Cyrenne, Philippe; Chan, Alan – Canadian Journal of Higher Education, 2022
The ability of universities and colleges to predict the success of admitted students continues to be a key concern of higher education officials. Apart from a desire to see students have successful academic careers, there is also the fiscal reality of greater tuition revenues providing needed support for university budgets. Using administrative…
Descriptors: College Students, Academic Achievement, Predictor Variables, Statistical Analysis
Lo, Steson; Andrews, Sally – Journal of Numerical Cognition, 2022
In Asia, some children are taught a calculation technique known as the 'mental abacus'. Previous research indicated that mental abacus experts can perform extraordinary feats of mental arithmetic, but it disagrees as to whether the technique improves working memory. The present study extended and clarified these findings by contrasting performance…
Descriptors: Mental Computation, Expertise, Short Term Memory, Schemata (Cognition)
Katchapakirin, Kantinee; Anutariya, Chutiporn; Supnithi, Thepchai – Education and Information Technologies, 2022
Computational Thinking (CT) has been formally incorporated into the National Curriculum of Thailand since 2017, where Scratch, a block-based visual programming language, has been widely adopted as CT learning environment for primary-level students. However, conducting hands-on coding activities in a classroom has caused substantial challenges…
Descriptors: Computation, Thinking Skills, Programming Languages, Foreign Countries
Shannon L. Thissen – ProQuest LLC, 2022
Computers infiltrate almost every aspect of our lives, including our homes and cars. For work, education, or personal fulfillment, computing has increased dramatically. The need for an educated workforce is expanding as technology devices become smaller, faster, and more powerful. We can teach students how to use math, logic, and computational…
Descriptors: Mental Computation, Elementary School Teachers, Knowledge Level, Comprehension
Benjamin Lu; Eli Ben-Michael; Avi Feller; Luke Miratrix – Grantee Submission, 2022
In multisite trials, learning about treatment effect variation across sites is critical for understanding where and for whom a program works. Unadjusted comparisons, however, capture "compositional" differences in the distributions of unit-level features as well as "contextual" differences in site-level features, including…
Descriptors: Statistical Analysis, Statistical Distributions, Program Implementation, Comparative Analysis
Jin, Kuan-Yu; Wang, Wen-Chung – Journal of Educational Measurement, 2018
The Rasch facets model was developed to account for facet data, such as student essays graded by raters, but it accounts for only one kind of rater effect (severity). In practice, raters may exhibit various tendencies such as using middle or extreme scores in their ratings, which is referred to as the rater centrality/extremity response style. To…
Descriptors: Scoring, Models, Interrater Reliability, Computation
Zhizezhang Gao; Haochen Yan; Jiaqi Liu; Xiao Zhang; Yuxiang Lin; Yingzhi Zhang; Xia Sun; Jun Feng – International Journal of STEM Education, 2025
Background: With the increasing interdisciplinarity between computer science (CS) and other fields, a growing number of non-CS students are embracing programming. However, there is a gap in research concerning differences in programming learning between CS and non-CS students. Previous studies predominantly relied on outcome-based assessments,…
Descriptors: Computer Science Education, Mathematics Education, Novices, Programming
Camila Porto; Emiliano Pereiro; María Eugenia Curi; Victor Koleszar; Alar Urruticoechea – Journal of Research on Technology in Education, 2025
The Uruguayan computational thinking (CT) program promotes CT skills for students in fourth, fifth, and sixth grades. Since 2017, it has reached over 70,000 students, with participation and Bebras challenge performance equally distributed by gender. This study examines gender perspectives in the program, focusing on teacher perceptions, student…
Descriptors: Computation, Thinking Skills, Foreign Countries, Teacher Attitudes
Emi Iwatani; Merijke Coenraad; Kyle M. Dunbar – Journal of Research on Technology in Education, 2025
Students in Appalachia have a heritage of problem-solving. We explore how computational thinking (CT) relates to and complements this heritage by analyzing 34 local ingenuity stories, and perspectives from 35 community members about the relevance of CT. We found the two problem-solving approaches are meaningfully different, but can be used in…
Descriptors: Problem Solving, Computation, Thinking Skills, Area Studies
Dunhong Yao; Jing Lin – Education and Information Technologies, 2025
Programming education consistently faces challenges in bridging theory with practice and fostering students' cognitive competencies. This 12-year longitudinal study (2011-2023) investigates an innovative competency-based teaching model in university C programming education that integrates six educational theories into a coherent framework with…
Descriptors: Competency Based Education, Computer Science Education, Programming, Longitudinal Studies
Nadia Stoyanova Kennedy; Boyan Kostadinov; Sandie Han – Mathematics Teaching Research Journal, 2025
This study examines the implementation of a course module that integrated computing and data analysis. The module aimed to engage prospective mathematics teachers in the practice of working with datasets and analyzing data to investigate questions related to local Brooklyn schools, as well as to gain deeper insight into the students and…
Descriptors: Mathematics Education, Mathematics Teachers, Preservice Teachers, Preservice Teacher Education
Weipeng Yang; Chaopai Lin; X. Christine Wang; Alfredo Bautista; Hui Li; Jesus Alfonso D. Datu; Bi Ying Hu – Journal of Educational Computing Research, 2026
The integration of coding into early childhood education has gained traction globally, yet evidence of its efficacy in fostering diverse developmental domains remains limited. This study aimed to (1) assess effects of a coding curriculum on preschoolers' computational thinking (CT), math, language, and social-emotional outcomes, and (2) examine…
Descriptors: Foreign Countries, Coding, Computation, Curriculum Implementation
Holly M. Long; Emily C. Bouck; Carrie O'Reilly – Rural Special Education Quarterly, 2024
Providing high-quality services to students with disabilities in rural settings can be challenging, as rural schools often lack resources both in and out of the classroom. One potential option to provide high-quality mathematics instruction to students with disabilities in rural areas is using virtual manipulatives and online instruction. In this…
Descriptors: Students with Disabilities, Rural Schools, Mathematics Instruction, Manipulative Materials
Sainan Xu; Jing Lu; Jiwei Zhang; Chun Wang; Gongjun Xu – Grantee Submission, 2024
With the growing attention on large-scale educational testing and assessment, the ability to process substantial volumes of response data becomes crucial. Current estimation methods within item response theory (IRT), despite their high precision, often pose considerable computational burdens with large-scale data, leading to reduced computational…
Descriptors: Educational Assessment, Bayesian Statistics, Statistical Inference, Item Response Theory
Ernesto Sánchez; Victor Nozair García-Ríos; Francisco Sepúlveda – Educational Studies in Mathematics, 2024
Sampling distributions are fundamental for statistical inference, yet their abstract nature poses challenges for students. This research investigates the development of high school students' conceptions of sampling distribution through informal significance tests with the aid of digital technology. The study focuses on how technological tools…
Descriptors: High School Students, Concept Formation, Thinking Skills, Skill Development

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