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Ting Zhang; Paul Bailey; Yuqi Liao; Emmanuel Sikali – Large-scale Assessments in Education, 2024
The EdSurvey package helps users download, explore variables in, extract data from, and run analyses on large-scale assessment data. The analysis functions in EdSurvey account for the use of plausible values for test scores, survey sampling weights, and their associated variance estimator. We describe the capabilities of the package in the context…
Descriptors: National Competency Tests, Information Retrieval, Data Collection, Test Validity
Torbey, Ryan; Martin, Nicole D.; Warner, Jayce R.; Fletcher, Carol L. – Texas Education Research Center, 2020
A complex web of factors can influence whether students participate in computer science (CS) during high school. In order to increase participation in CS for all students, there is a need to better understand who is currently participating and what factors might be hindering participation. This study utilized a large-scale, student-level dataset…
Descriptors: Algebra, High School Students, Computer Science Education, Student Participation
Bacak, Valerio; Kennedy, Edward H. – Sociological Methods & Research, 2019
A rapidly growing number of algorithms are available to researchers who apply statistical or machine learning methods to answer social science research questions. The unique advantages and limitations of each algorithm are relatively well known, but it is not possible to know in advance which algorithm is best suited for the particular research…
Descriptors: Violence, Census Figures, Correctional Institutions, Institutionalized Persons
Quille, Keith; Bergin, Susan – Computer Science Education, 2019
Background and Context: Computer Science attrition rates (in the western world) are very concerning, with a large number of students failing to progress each year. It is well acknowledged that a significant factor of this attrition, is the students' difficulty to master the introductory programming module, often referred to as CS1. Objective: The…
Descriptors: Computer Science Education, Introductory Courses, Programming, Student Attrition
Swinson, Ronnie; Clark, Aaron C.; Ernst, Jeremy V.; Sutton, Kevin – Technology and Engineering Teacher, 2016
Today's engineers, designers, and technologists are often thrust into the role of problem solver, from the initial design phase of a product or process all the way to final development. Many engineers in manufacturing environments are tasked with solving problems and continuously improving processes to enhance company profitability, efficiency,…
Descriptors: Technology Education, Engineering Education, Simulation, Problem Solving
Mangiero, George A.; Kraten, Michael – American Journal of Business Education, 2017
Financial analysts generally create static formulas for the computation of NPV. When they do so, however, it is not readily apparent how sensitive the value of NPV is to changes in multiple interdependent and interrelated variables. It is the aim of this paper to analyze this variability by employing a dynamic, visually graphic presentation using…
Descriptors: Predictor Variables, Visual Aids, Computer Graphics, Business Administration Education
Bedek, Michael; Seitlinger, Paul; Kopeinik, Simone; Albert, Dietrich – Electronic Journal of e-Learning, 2012
Digital educational games (DEGs) possess the potential of providing an appealing and intrinsically motivating learning context. Usually this potential is either taken for granted or examined through questionnaires or interviews in the course of evaluation studies. However, an "adaptive" game would increase the probability of a DEG being…
Descriptors: Foreign Countries, Educational Games, Computer Games, Computer Simulation
Rummel, Nikol; Kramer, Nicole – Educational Psychology Review, 2010
The papers in the present special issue summarize research that aims at compiling and understanding variables associated with successful communication in computer-supported instructional settings. Secondly, the papers add to the question of how adaptiveness of instructional communication may be achieved. A particular strength of the special issue…
Descriptors: Computer Assisted Instruction, Computer Mediated Communication, Educational Environment, Psychology
Beyond Multiple Regression: Using Commonality Analysis to Better Understand R[superscript 2] Results
Warne, Russell T. – Gifted Child Quarterly, 2011
Multiple regression is one of the most common statistical methods used in quantitative educational research. Despite the versatility and easy interpretability of multiple regression, it has some shortcomings in the detection of suppressor variables and for somewhat arbitrarily assigning values to the structure coefficients of correlated…
Descriptors: Educational Research, Gifted, Predictor Variables, Regression (Statistics)
Foy, Pierre, Ed.; Drucker, Kathleen T., Ed. – International Association for the Evaluation of Educational Achievement, 2013
This supplement contains documentation on all the derived variables contained in the PIRLS and prePIRLS 2011 data files that are based on background questionnaire variables. These variables were used to report background data in the PIRLS 2011 International Results in Reading report, and are made available as part of this database to be used in…
Descriptors: Databases, Data, Student Surveys, Teacher Surveys
Lawrence, K. S. – National Center on Schoolwide Inclusive School Reform: The SWIFT Center, 2016
This brief describes how to use a free online behavior screener to identify student support needs in middle and high schools. Inclusive Behavior Instruction utilizes data to identify appropriate social-emotional supports for all students. The Lane et al. (2016) study demonstrated system-wide use of a free online behavior screener at the middle and…
Descriptors: Screening Tests, Student Behavior, Behavior Problems, Middle School Students
Hagedorn, Linda Serra; Cabrera, Alberto; Prather, George – Journal of College Student Retention: Research, Theory & Practice, 2011
Using a newly developed software application entitled "The Community College Transfer Calculator"[C], this article both quantifies the effect of specific course-taking patterns and stresses the need for an easy to understand tool for community college academic advisors, faculty, and students. The "Calculator" calculates the…
Descriptors: Community Colleges, Course Selection (Students), College Transfer Students, Computer Software
Pallant, Amy; Lee, Hee-Sun; Pryputniewicz, Sara – Science Teacher, 2012
Systems thinking suggests that one can best understand a complex system by studying the interrelationships of its component parts rather than looking at the individual parts in isolation. With ongoing concern about the effects of climate change, using innovative materials to help students understand how Earth's systems connect with each other is…
Descriptors: Climate, Teaching Methods, Computer Simulation, Electronic Learning
Kreijns, Karel; Vermeulen, Marjan; Kirschner, Paul A.; van Buuren, Hans; Van Acker, Frederik – Technology, Pedagogy and Education, 2013
Information and communication technology (ICT) can enable, support, and reinforce the introduction of new pedagogical practices that comply with the educational demands of the twenty-first-century knowledge society. However, despite this potential and despite the delivering of skills-based professional development and the increase in the level of…
Descriptors: Educational Technology, Self Efficacy, Prediction, Teaching Methods
Haberman, Shelby J. – Educational Testing Service, 2011
Alternative approaches are discussed for use of e-rater[R] to score the TOEFL iBT[R] Writing test. These approaches involve alternate criteria. In the 1st approach, the predicted variable is the expected rater score of the examinee's 2 essays. In the 2nd approach, the predicted variable is the expected rater score of 2 essay responses by the…
Descriptors: Writing Tests, Scoring, Essays, Language Tests

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