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Lomax, Erin – IDEA Data Center, 2021
This resource focuses on recent changes in the data sources and measurements of Part B Indicators 1 and 2. It offers a side-by-side comparison of the State Performance Plan/Annual Performance Report (SPP/APR) Part B Indicator measurement tables for FFY 2019 and FFY 2020-2025 to highlight relevant differences in SPP/APR reporting of graduation rate…
Descriptors: Graduation Rate, Dropout Rate, Educational Indicators, Educational Change
Michele C. Morris – ProQuest LLC, 2023
A novel intervention to introduce undergraduate students to bioinformatics, provide authentic research opportunities, and support student retention in science majors and careers is presented in the Characterizing Our DNA Exceptions (CODE) project. The need to increase the number of qualified STEM graduates, particularly in the fields of…
Descriptors: Learner Engagement, Undergraduate Students, STEM Education, Biology
James R. Schwab; David E. Houchins – High School Journal, 2023
Historically, secondary students with Emotional/Behavioral Disorders (EBD) have made poor progress in mathematics putting them at-risk for school failure. One mathematic area that students with EBD have difficulties in is solving word problems. The purpose of this exploratory study was to examine the effects of schema-based instruction on…
Descriptors: Middle School Mathematics, Middle School Students, Middle School Teachers, Emotional Disturbances
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
Lai, Maxine; Zax, Alexandra; Barth, Hilary – Developmental Science, 2018
Learning the meanings of Arabic numerals involves mapping the number symbols to mental representations of their corresponding, approximate numerical quantities. It is often assumed that performance on numerical tasks, such as number line estimation (NLE), is primarily driven by translating from a presented numeral to a mental representation of its…
Descriptors: Numbers, Computation, Children, Adults
Brooks, Neon B.; Barner, David; Frank, Michael; Goldin-Meadow, Susan – Cognitive Science, 2018
People frequently gesture when problem-solving, particularly on tasks that require spatial transformation. Gesture often facilitates task performance by interacting with internal mental representations, but how this process works is not well understood. We investigated this question by exploring the case of mental abacus (MA), a technique in which…
Descriptors: Nonverbal Communication, Problem Solving, Computation, Schemata (Cognition)