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Kane Meissel; Esther S. Yao – Practical Assessment, Research & Evaluation, 2024
Effect sizes are important because they are an accessible way to indicate the practical importance of observed associations or differences. Standardized mean difference (SMD) effect sizes, such as Cohen's d, are widely used in education and the social sciences -- in part because they are relatively easy to calculate. However, SMD effect sizes…
Descriptors: Computer Software, Programming Languages, Effect Size, Correlation
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Feiya Luo; Pavlo Antonenko; Natercia Valle; Emily Sessa; Gordon Burleigh; Lorena Endara; Stuart McDaniel; Sarah Carey; E. Christine Davis – International Journal of Designs for Learning, 2020
This design case discusses the complex collaborative design reasoning processes involved in developing an online interactive learning tool for learners of all ages to explore and understand the role of flagellate plants in our society. The learning tool consists of a main website (the "Voyager") and an interactive, dynamic map of the…
Descriptors: Interdisciplinary Approach, Instructional Design, Web Sites, Plants (Botany)
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Boote, Stacy K.; Galanti, Terrie M. – Mathematics Teacher: Learning and Teaching PK-12, 2023
Mathematics achievement is positively associated with coding in the classroom. By making mathematical relationships visible to students as they code, teachers leverage rich connections between block-based computer programming and mathematical sense making. In this article, the authors describe strategies for adapting a Code.org lesson integrating…
Descriptors: Teaching Methods, Mathematics Instruction, Mathematics Achievement, Coding
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Schochet, Peter Z. – Journal of Educational and Behavioral Statistics, 2022
This article develops new closed-form variance expressions for power analyses for commonly used difference-in-differences (DID) and comparative interrupted time series (CITS) panel data estimators. The main contribution is to incorporate variation in treatment timing into the analysis. The power formulas also account for other key design features…
Descriptors: Comparative Analysis, Statistical Analysis, Sample Size, Measurement Techniques
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Adams, Bryan; Baller, Daniel; Jonas, Bryan; Joseph, Anny-Claude; Cummiskey, Kevin – Journal of Statistics and Data Science Education, 2021
Since the publishing of Nolan and Temple Lang's "Computing in the Statistics Curriculum" in 2010, the American Statistical Association issued new recommendations in the revised GAISE college report. To reflect modern practice and technologies, they emphasize giving students experience with multivariable thinking. Students develop…
Descriptors: Multivariate Analysis, Statistics Education, Teaching Methods, Thinking Skills
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Casey, Kevin – Journal of Learning Analytics, 2017
Learning analytics offers insights into student behaviour and the potential to detect poor performers before they fail exams. If the activity is primarily online (for example computer programming), a wealth of low-level data can be made available that allows unprecedented accuracy in predicting which students will pass or fail. In this paper, we…
Descriptors: Keyboarding (Data Entry), Educational Research, Data Collection, Data Analysis
Avancena, Aimee Theresa; Nishihara, Akinori; Vergara, John Paul – International Association for Development of the Information Society, 2012
This paper presents the online cognitive and algorithm tests, which were developed in order to determine if certain cognitive factors and fundamental algorithms correlate with the performance of students in their introductory computer science course. The tests were implemented among Management Information Systems majors from the Philippines and…
Descriptors: Foreign Countries, Computer Science Education, High School Students, College Students
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Pierson, Eric E.; Kilmer, Lydia M.; Rothlisberg, Barbara A.; McIntosh, David E. – Journal of Psychoeducational Assessment, 2012
Schools often administer brief intelligence tests as the first step in the identification of students who are cognitively gifted. However, brief measures are often used without consideration of underlying constructs or the psychometric properties of the measures and without regard to the links between screening decisions and educational…
Descriptors: Intelligence, Gifted, Intelligence Tests, Identification
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Myller, Niko; Bednarik, Roman; Sutinen, Erkki; Ben-Ari, Mordechai – ACM Transactions on Computing Education, 2009
As collaborative learning in general, and pair programming in particular, has become widely adopted in computer science education, so has the use of pedagogical visualization tools for facilitating collaboration. However, there is little theory on collaborative learning with visualization, and few studies on their effect on each other. We build on…
Descriptors: Computer Science Education, Learning Activities, Visualization, Classification
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Goldstein, Miriam D.; Strube, Michael J. – Teaching of Psychology, 1995
Describes two QuickBASIC programs that provide students direct experience with interpreting correlation scatter-plots. Maintains that the programs can be used in classroom exercises to highlight factors that influence the size of a Pearson correlation coefficient. (CFR)
Descriptors: Computer Software Development, Computer Uses in Education, Correlation, Data Analysis
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Strube, Michael; Goldstein, Miriam D. – Teaching of Psychology, 1995
Describes a QuickBASIC program for demonstrating the differences between main effects and interactions in factorial designs. The program can be used in conjunction with a traditional lecture to improve student understanding and develop skills in recognizing main effects and interactions from graphic displays. (CFR)
Descriptors: Computer Software Development, Computer Uses in Education, Correlation, Data Analysis