Publication Date
| In 2025 | 0 |
| Since 2024 | 1 |
| Since 2021 (last 5 years) | 2 |
| Since 2016 (last 10 years) | 4 |
| Since 2006 (last 20 years) | 5 |
Descriptor
Source
| ACT Education Corp. | 1 |
| ACT, Inc. | 1 |
| Journal of Educational Data… | 1 |
| Multivariate Behavioral… | 1 |
| Pullias Center for Higher… | 1 |
Author
| Bernstein, S. | 1 |
| Boker, Steven M. | 1 |
| Corwin, Z. | 1 |
| Edwards, John | 1 |
| Galan, C. | 1 |
| Hart, Kaden | 1 |
| Jeff Schiel | 1 |
| Maruco, T. | 1 |
| McArdle, John J. | 1 |
| Moore, Raeal | 1 |
| Paskus, Thomas S. | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 4 |
| Journal Articles | 2 |
| Guides - Non-Classroom | 1 |
| Reports - Descriptive | 1 |
| Tests/Questionnaires | 1 |
Education Level
| High Schools | 5 |
| Higher Education | 5 |
| Postsecondary Education | 5 |
| Secondary Education | 5 |
| Elementary Education | 1 |
| Grade 10 | 1 |
| Grade 11 | 1 |
| Grade 12 | 1 |
| Grade 8 | 1 |
| Grade 9 | 1 |
| Junior High Schools | 1 |
| More ▼ | |
Audience
Location
| Alabama | 1 |
| Kentucky | 1 |
| Mississippi | 1 |
| Nebraska | 1 |
| North Carolina | 1 |
| Oklahoma | 1 |
| South Carolina | 1 |
| Utah | 1 |
| Wisconsin | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| ACT Assessment | 5 |
| SAT (College Admission Test) | 2 |
What Works Clearinghouse Rating
Download full textJeff 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
Peer reviewedEdwards, 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
Corwin, Z.; Maruco, T.; Bernstein, S.; Galan, C.; Rocha, C. – Pullias Center for Higher Education, 2018
High schools today have a unique challenge: to equip students with the knowledge and tools they need to prepare for, apply to and enroll in college--all while proving them with digital resources and skills essential for the 21st century. This guide by the Pullias Center's Digital Equity in Education team provides a general overview of what a…
Descriptors: High School Students, Information Sources, College Applicants, College Attendance
Direct linkMcArdle, 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
