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Al Farra, Nabil Kamal; Al Owais, Najla Sultan; Belbase, Shashidhar – Mathematics Teaching Research Journal, 2022
The purpose of this study was to analyze the problem-solving techniques that students in a fifth-grade classroom applied while solving mathematical word problems. Fifth-grade students in a private school with Ministry of Education curricula in Al Ain, Abu Dhabi, were given a set of 15-word problems to solve with detailed justifications. The…
Descriptors: Foreign Countries, Mathematics Instruction, Problem Solving, Word Problems (Mathematics)
Kim How, Richeal Phil Thien; Zulnaidi, Hutkemri; Abdul Rahim, Suzieleez Syrene – Contemporary Educational Technology, 2022
The purpose of this study is to identify the teaching styles and problems that are faced by teachers in cultivating digital literacy skills for the topic of quadratic equations. This study helps to overcome and refine all shortcomings that occur in the process of instilling digital literacy skills into the topic of quadratic equations. This study…
Descriptors: Digital Literacy, Equations (Mathematics), Teaching Styles, Foreign Countries
Introducing High School Statistics Teachers to Predictive Modelling and APIs Using Code-Driven Tools
Fergusson, Anna; Pfannkuch, Maxine – Statistics Education Research Journal, 2022
Tasks for teaching predictive modelling and APIs often require learners to use code-driven tools. Minimal research, however, exists about the design of tasks that support the introduction of high school students and teachers to these new statistical and computational methods. Using a design-based research approach, a web-based task was developed.…
Descriptors: High School Teachers, Statistics Education, Prediction, Mathematical Models
Garret J. Hall; Mitchell A. Markham; Meghan McMackin; Elizabeth C. Moore; Craig A. Albers – Grantee Submission, 2022
The current study examined the validity of curriculum-based measures (CBM) in mathematics computation (M-COMP) and oral reading fluency (R-CBM) in predicting spring mathematics and reading performance level and performance risk (>1 SD below the national mean) among students classified as English Learners (ELs). Additionally, the current study…
Descriptors: Elementary School Students, English Language Learners, Language Proficiency, Curriculum Based Assessment
Garret J. Hall; Mitchell A. Markham; Meghan McMackin; Elizabeth C. Moore; Craig A. Albers – School Psychology Review, 2022
The current study examined the validity of curriculum-based measures (CBM) in mathematics computation (M-COMP) and oral reading fluency (R-CBM) in predicting spring mathematics and reading performance level and performance risk (>1 SD below the national mean) among students classified as English Learners (ELs). Additionally, the current study…
Descriptors: Elementary School Students, English Language Learners, Language Proficiency, Curriculum Based Assessment
Chong, James; Jennings, William P.; Phillips, G. Michael – American Journal of Business Education, 2018
When a portfolio is not actively managed to maintain a fixed investment percentage in each asset but rather maintains a fixed number of shares for each asset, the portfolio weights will change over time because the market returns of the different assets will not be the same. Consequently, portfolio betas computed as a linear combination of asset…
Descriptors: Business Administration Education, Marketing, Investment, Business Skills
Isildak, R. Suat; Isik, Hakan; Küçüközer, H. Asuman – Physics Education, 2018
Sky appears to our students as a vast volume surrounding the Earth. The most striking astronomical events that they can witness in the sky are lunar phases and eclipses. However, eclipses do not occur as often as full and new phases of the Moon. This difference is due to the fact that the orbital planes of the Moon and the Earth do not overlap.…
Descriptors: Science Instruction, Physics, Astronomy, Computation
No, Unkyung; Hong, Sehee – Educational and Psychological Measurement, 2018
The purpose of the present study is to compare performances of mixture modeling approaches (i.e., one-step approach, three-step maximum-likelihood approach, three-step BCH approach, and LTB approach) based on diverse sample size conditions. To carry out this research, two simulation studies were conducted with two different models, a latent class…
Descriptors: Sample Size, Classification, Comparative Analysis, Statistical Analysis
Igoe, Damien; Boucher, Nicholas; Clark, Iain; Parisi, Alfio; Downs, Nathan – Australian Mathematics Teacher, 2018
This article proposes a practical method of teaching the addition of unit fractions using a series of mirror equation experiments.
Descriptors: Fractions, Addition, Equations (Mathematics), Mathematics Instruction
Taylor, Joseph A.; Kowalski, Susan M.; Polanin, Joshua R.; Askinas, Karen; Stuhlsatz, Molly A. M.; Wilson, Christopher D.; Tipton, Elizabeth; Wilson, Sandra Jo – AERA Open, 2018
A priori power analyses allow researchers to estimate the number of participants needed to detect the effects of an intervention. However, power analyses are only as valid as the parameter estimates used. One such parameter, the expected effect size, can vary greatly depending on several study characteristics, including the nature of the…
Descriptors: Science Education, Statistical Analysis, Effect Size, Intervention
Lewis, Charlie; Chajewski, Michael; Rupp, André A. – Educational Measurement: Issues and Practice, 2018
In this ITEMS module, we provide a two-part introduction to the topic of reliability from the perspective of "classical test theory" (CTT). In the first part, which is directed primarily at beginning learners, we review and build on the content presented in the original didactic ITEMS article by Traub and Rowley (1991). Specifically, we…
Descriptors: Test Reliability, Test Theory, Computation, Data Collection
Nestler, Steffen – Journal of Educational and Behavioral Statistics, 2018
The social relations model (SRM) is a mathematical model that can be used to analyze interpersonal judgment and behavior data. Typically, the SRM is applied to one (i.e., univariate SRM) or two variables (i.e., bivariate SRM), and parameter estimates are obtained by employing an analysis of variance method. Here, we present an extension of the SRM…
Descriptors: Mathematical Models, Interpersonal Relationship, Maximum Likelihood Statistics, Computation
Knox, Jeremy – International Review of Education, 2018
This article examines how algorithms are shaping student learning in massive open online courses (MOOCs). Following the dramatic rise of MOOC platform organisations in 2012, over 4,500 MOOCs have been offered to date, in increasingly diverse languages, and with a growing requirement for fees. However, discussions of "learning" in MOOCs…
Descriptors: Online Courses, Mathematics, Learning, Data Collection
Haseski, Halil Ibrahim; Ilic, Ulas; Tugtekin, Ufuk – International Education Studies, 2018
Computational Thinking is a skill that guides the 21th century individual in the problems experienced during daily life and it has an ever-increasing significance. Multifarious definitions were attempted to explain the concept of Computational Thinking. However, it was determined that there was no consensus on this matter in the literature and…
Descriptors: Thinking Skills, Computation, Definitions, Content Analysis
Lake, Brenden M.; Lawrence, Neil D.; Tenenbaum, Joshua B. – Cognitive Science, 2018
Both scientists and children make important structural discoveries, yet their computational underpinnings are not well understood. Structure discovery has previously been formalized as probabilistic inference about the right structural form--where form could be a tree, ring, chain, grid, etc. (Kemp & Tenenbaum, 2008). Although this approach…
Descriptors: Discovery Learning, Intuition, Bias, Computation

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