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Chongo, Samri; Osman, Kamisah; Nayan, Nazrul Anuar – Science Education International, 2020
Computational thinking (CT) is often associated with computer science and mathematics in general. However, the involvement of computer science according to gender is seen to be imbalanced. Therefore, this study aimed to identify the level of students' CT skills by gender and their relationship to achievement in mathematics. The study employed…
Descriptors: Computation, Thinking Skills, Secondary School Science, Secondary School Students
Türker, Pinar Mihci; Pala, Ferhat Kadir – International Journal of Computer Science Education in Schools, 2020
In this study, the effect of algorithm education on pre-service teachers' computational thinking skills and computer programming self-efficacy perceptions were examined. In the study, one group pretest posttest experimental design was employed. The participants consisted of 24 (14 males and 10 females) pre-service teachers, majoring in Computer…
Descriptors: Mathematics, Computation, Computer Science Education, Programming
Perez-Vergara, Kelly – Strategic Enrollment Management Quarterly, 2020
Institutional staff such as enrollment managers, business officers, and institutional researchers are often asked to predict enrollments. Developing any predictive model can be intimidating, particularly when there is no textbook to follow. This paper provides a practical framework for generating enrollment projection options and for evaluating…
Descriptors: Enrollment Projections, Enrollment Management, Enrollment Trends, Models
Sibley, Benjamin – Physical Educator, 2020
In the process of educating physically literate individuals, physical educators are tasked with assessing health-related fitness of their students. It is essential to identify or develop appropriate field tests of muscular power for use in physical education settings. This study assessed jumping power in a sample of fourth, sixth, and eighth…
Descriptors: Physical Education, Grade 4, Grade 6, Grade 8
Ketelhut, Diane Jass; Mills, Kelly; Hestness, Emily; Cabrera, Lautaro; Plane, Jandelyn; McGinnis, J. Randy – Journal of Science Education and Technology, 2020
Computer science and computer science education are marked by gender and racial disparities. To increase the number and diversity of students engaging in computer science, young children need opportunities to develop interest and foundational understandings, including computational thinking (CT). Accordingly, elementary teachers need to understand…
Descriptors: Computer Science Education, Computation, Thinking Skills, Faculty Development
Quantifying Energy Consumption in Household Surveys: An Alternative Device-Based Accounting Approach
Wu, Shimei; Zheng, Xinye; Guo, Jin; Li, Chuan-Zhong; Wei, Chu – Field Methods, 2020
The exercise of quantifying the energy consumption data assembled through household surveys, either by the recall-based approach or the meter-based approach, remains a challenging task, especially in rural areas of developing countries. In this article, we propose a device-based bottom-up accounting method for estimating household energy…
Descriptors: Surveys, Family (Sociological Unit), Energy, Evaluation Methods
Brown, Catherine; Wong, Nancy – Institute for College Access & Success, 2020
High tuition makes headlines and may dissuade students from pursuing college or excluding what appear to be high-cost colleges. However, a college's "sticker price" can be misleading because it does not reflect any grant or scholarship aid that reduces the price students actually pay. As the costs of attending college have risen, the…
Descriptors: Student Costs, College Students, Access to Information, Usability
Collins, Gregory J. – Journal of Education Finance, 2019
School district consolidation has continued at a rapid pace in the United States, with one in every nine districts consolidating between 2000 and 2015 (Collins forthcoming). The stated aim of consolidation efforts is usually improved efficiency -- growing larger to lower unit costs or improve student outcomes without spending more money (Callahan…
Descriptors: School District Size, Cost Effectiveness, Least Squares Statistics, Computation
Österman, Tove; Bråting, Kajsa – Journal of Curriculum Studies, 2019
We identify a recent trend in school mathematics as well as in some of the research literature in mathematics education: an emphasis on the practical uses of mathematics and an increased emphasis on verbalizations as opposed to numerical and computational skills. With tools provided by John Dewey, an early advocate of contextual and practical…
Descriptors: Mathematics Education, Knowledge Level, Mathematical Concepts, Computation
Cox, Kyle; Kelcey, Benjamin – Journal of Experimental Education, 2019
We derive sample-allocation formulas that maximize the power of several mediation tests in two-level-group-randomized studies under a linear cost structure and fixed budget. The results suggest that the optimal individual sample size is typically smaller than that associated with the detection of a main effect and is frequently less than 10 under…
Descriptors: Sample Size, Statistical Analysis, Costs, Monte Carlo Methods
da Silva, Marcelo A.; Liu, Ren; Huggins-Manley, Anne C.; Bazán, Jorge L. – Educational and Psychological Measurement, 2019
Multidimensional item response theory (MIRT) models use data from individual item responses to estimate multiple latent traits of interest, making them useful in educational and psychological measurement, among other areas. When MIRT models are applied in practice, it is not uncommon to see that some items are designed to measure all latent traits…
Descriptors: Item Response Theory, Matrices, Models, Bayesian Statistics
Slater, Stefan; Baker, Ryan – Distance Education, 2019
Considerable attention has been given to methods for knowledge estimation, a category of methods for automatic assessment of a student's degree of skill mastery or knowledge at a specific time. Knowledge estimation is frequently used to make decisions about when a student has reached mastery and is ready to advance to new material, but there has…
Descriptors: Prediction, Mastery Learning, Academic Achievement, Bayesian Statistics
Hauben, Manfred – Australian Mathematics Education Journal, 2019
Manfred Hauben proposes an approach to teaching non-transitive relationships between 'paradoxical' dice using simple statistical graphics. This method usefully supplements traditional approaches of conditional probability calculations and trees, and students are thereby better able to see what is going on and the mechanism of these relationships.
Descriptors: Mathematics Instruction, Teaching Methods, Probability, Computation
McAlister, Kerrie; Marshman, Margaret – Australian Mathematics Education Journal, 2019
Estimation skills are critical for students in the 21st century. The ability to estimate or approximate is widely accepted as fundamental to problem solving, and important for checking the reasonableness of results. (Dowker, 2003; Reys & Reys, 1989). Therefore, estimation should be an important aspect of problem solving in all year levels but…
Descriptors: Mathematics Instruction, Computation, Mathematics Skills, Measurement
Kim, Stella Y.; Lee, Won-Chan – Applied Measurement in Education, 2019
This study explores classification consistency and accuracy for mixed-format tests using real and simulated data. In particular, the current study compares six methods of estimating classification consistency and accuracy for seven mixed-format tests. The relative performance of the estimation methods is evaluated using simulated data. Study…
Descriptors: Classification, Reliability, Accuracy, Test Format

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