Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 1 |
| Since 2016 (last 10 years) | 3 |
| Since 2006 (last 20 years) | 5 |
Descriptor
Source
| ACT, Inc. | 1 |
| Athletic Training Education… | 1 |
| Cornell Higher Education… | 1 |
| Higher Learning Research… | 1 |
| International Journal of… | 1 |
Author
| Anderson, Dennis | 1 |
| Crouse, Jill | 1 |
| Dauer, Joseph | 1 |
| Harmston, Matt | 1 |
| Helikar, Tomáš | 1 |
| Herzog, Valerie W. | 1 |
| Larose, Chantal D. | 1 |
| Lucas, Lyrica | 1 |
| Radunzel, Justine | 1 |
| Starkey, Chad | 1 |
| Ward, Kim Y. | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 3 |
| Reports - Evaluative | 2 |
| Numerical/Quantitative Data | 1 |
Education Level
| Higher Education | 4 |
| Postsecondary Education | 4 |
| High Schools | 2 |
| Secondary Education | 1 |
Audience
Location
| Connecticut | 1 |
| Ohio | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| ACT Assessment | 5 |
| SAT (College Admission Test) | 2 |
What Works Clearinghouse Rating
Download full textCrouse, Jill; Harmston, Matt; Radunzel, Justine – ACT, Inc., 2017
In 2014, ACT developed a method to identify high school students who had an interest in Science, Technology, Engineering, and Mathematics (STEM)-related fields. By using ACT data elements, this method provided two different types of STEM interest: Expressed and measured. Based on these STEM interest types, students can be assigned to one of four…
Descriptors: STEM Education, High School Students, Student Characteristics, Validity
Peer reviewedWard, Kim Y.; Larose, Chantal D. – Higher Learning Research Communications, 2019
Objectives: This study examines the effectiveness of interventions in first-year math courses in higher education. Our goal is to investigate the efficacy of a supplemental support requirement on the passing rates of students in their first-year math courses. Method: We gathered and analyzed data on 3,249 students using descriptive statistics and…
Descriptors: Intervention, Mathematics Instruction, Introductory Courses, Undergraduate Students
Direct linkLucas, Lyrica; Helikar, Tomáš; Dauer, Joseph – International Journal of Science Education, 2022
Comprehensive understanding of complex biological systems necessitates the use of computational models because they facilitate visualisation and interrogation of system dynamics and data-driven analysis. Computational model-based (CMB) activities have demonstrated effectiveness in improving students' understanding and their ability to use and…
Descriptors: Cytology, Science Instruction, Teaching Methods, Biology
Webber, Douglas A. – Cornell Higher Education Research Institute, 2011
Using detailed individual-level data from public universities in the state of Ohio, I estimate the effect of various institutional expenditures on the probability of graduating from college. Using a competing risks regression framework, I find differential impacts of expenditure categories across student characteristics. I estimate that student…
Descriptors: Public Colleges, Educational Finance, Cost Effectiveness, College Administration
Herzog, Valerie W.; Anderson, Dennis; Starkey, Chad – Athletic Training Education Journal, 2008
Objective: To identify those factors that influence freshmen application to Commission on Accreditation of Allied Health Education Programs (CAAHEP)-accredited undergraduate ATEPs having a secondary admissions process. (All undergraduate ATEPs are now accredited by the Commission on Accreditation of Athletic Training Education (CAATE)). Design and…
Descriptors: Undergraduate Study, Surveys, College Freshmen, Allied Health Occupations
