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Jeff Schiel – ACT Education Corp., 2024
Disparities in technology access currently exist for adults, but do they also exist for high school students? If so, might the disparities have lessened since ACT first investigated this matter? This study examined high school students' access at home and school to four types of technological devices (desktop computers, laptop computers, tablets,…
Descriptors: High School Students, Student Attitudes, Access to Internet, Access to Computers
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Edwards, John; Hart, Kaden; Shrestha, Raj – Journal of Educational Data Mining, 2023
Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as…
Descriptors: Data Analysis, Computer Science Education, Learning Analytics, Research Methodology
Payne, J. Scott; San Pedro, Sweet Z.; Moore, Raeal; Sanchez, Edgar I. – ACT, Inc., 2020
High-stakes, standardized testing plays an important role in the lives of many students as they apply to college and compete for scholarships. In states where college readiness measures, like the ACT® test, are used for school and district accountability, the ACT scores of all students, whether college-bound or not, are a top priority for school…
Descriptors: Test Preparation, Testing Programs, State Programs, School Districts
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Veilleux, Jennifer C.; Chapman, Kate M. – Teaching of Psychology, 2017
Research methods and statistics are core courses in the undergraduate psychology major. To assess learning outcomes, it would be useful to have a measure that assesses research methods and statistical literacy beyond course grades. In two studies, we developed and provided initial validation results for a research methods and statistical knowledge…
Descriptors: Psychology, Item Response Theory, Computer Software, Research Methodology
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Burstein, Jill; McCaffrey, Dan; Beigman Klebanov, Beata; Ling, Guangming – Grantee Submission, 2017
No significant body of research examines writing achievement and the specific skills and knowledge in the writing domain for postsecondary (college) students in the U.S., even though many at-risk students lack the prerequisite writing skills required to persist in their education. This paper addresses this gap through a novel…
Descriptors: Computer Software, Writing Evaluation, Writing Achievement, College Students
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Cousins-Cooper, Kathy; Staley, Katrina N.; Kim, Seongtae; Luke, Nicholas S. – European Journal of Science and Mathematics Education, 2017
This study aims to investigate the effectiveness of the Emporium instructional method in a course of college algebra and trigonometry by comparing to the traditional lecture method. The math emporium method is a nontraditional instructional method of learning math that has been implemented at several universities with much success and has been…
Descriptors: College Students, College Mathematics, Algebra, Teaching Methods
Phillips, Andrea; Pane, John F.; Bogart, Andy – RAND Corporation, 2018
The Kentucky Valley Educational Cooperative and Green River Regional Educational Cooperative received an Investing in Innovation (i3) development grant from the U.S. Department of Education to implement the Creating College and Career Readiness (C3R) initiative. The initiative offered a suite of software developed by WIN Learning (WIN) to support…
Descriptors: Career Readiness, College Readiness, Program Effectiveness, Program Evaluation
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McArdle, John J.; Paskus, Thomas S.; Boker, Steven M. – Multivariate Behavioral Research, 2013
This is an application of contemporary multilevel regression modeling to the prediction of academic performances of 1st-year college students. At a first level of analysis, the data come from N greater than 16,000 students who were college freshman in 1994-1995 and who were also participants in high-level college athletics. At a second level of…
Descriptors: Multivariate Analysis, Multiple Regression Analysis, Hierarchical Linear Modeling, College Athletics
Iowa Department of Education, 2017
Data and information are important components of school improvement. They show how schools are changing and how students are progressing. Providing and interpreting data is one of the critical functions of the Iowa Department of Education. The annual Condition of Education report provides valuable data about students, educators and school…
Descriptors: Special Education, Enrollment Trends, Early Childhood Education, Teacher Salaries
Ackerman, Terry A. – 1989
The purpose of this paper is to report results on the development of a new computer-assisted methodology for creating parallel test forms using the item response theory (IRT) information function. Recently, several researchers have approached test construction from a mathematical programming perspective. However, these procedures require…
Descriptors: College Entrance Examinations, Computer Assisted Testing, Computer Software, Higher Education
Ackerman, Terry A. – 1987
One of the important underlying assumptions of all item response theory (IRT) models is that of local independence. This assumption requires that the response to an item on a test not be influenced by the response to any other items. This assumption is often taken for granted, with little or no scrutiny of the response process required to answer…
Descriptors: Computer Software, Correlation, Estimation (Mathematics), Latent Trait Theory