Publication Date
In 2025 | 1 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 8 |
Since 2016 (last 10 years) | 12 |
Since 2006 (last 20 years) | 12 |
Descriptor
Source
Author
Bryant, Rebecca | 2 |
Fransen, Jan | 2 |
Helmstutler, Brenna | 2 |
Scherer, David | 2 |
de Castro, Pablo | 2 |
Beamer, Zachary | 1 |
Cherniavsky, Peter | 1 |
D'Amico, Mark M. | 1 |
Dukes, Dominique | 1 |
Erica Fry | 1 |
Hunt-Isaak, Noah | 1 |
More ▼ |
Publication Type
Reports - Research | 7 |
Journal Articles | 3 |
Reports - Evaluative | 3 |
Reports - Descriptive | 2 |
Information Analyses | 1 |
Speeches/Meeting Papers | 1 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 12 |
Postsecondary Education | 12 |
Two Year Colleges | 3 |
Adult Education | 1 |
Elementary Secondary Education | 1 |
Location
Virginia | 12 |
Texas | 4 |
Pennsylvania | 3 |
California | 2 |
California (Los Angeles) | 2 |
Florida (Miami) | 2 |
Indiana | 1 |
Iowa | 1 |
Maryland | 1 |
Montana | 1 |
New Jersey | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Jessica R. Toste; Marissa J. Filderman; Nathan H. Clemens; Erica Fry – Journal of Learning Disabilities, 2025
Data-based instruction (DBI) is a process in which teachers use progress data to make ongoing instructional decisions for students with learning disabilities. Curriculum-based measurement (CBM) is a common form of progress monitoring, and CBM data are placed on a graph to guide decision-making. Despite the central role that graph interpretation…
Descriptors: Preservice Teachers, Data Use, Decision Making, Progress Monitoring
Yang Shi; Robin Schmucker; Keith Tran; John Bacher; Kenneth Koedinger; Thomas Price; Min Chi; Tiffany Barnes – Journal of Educational Data Mining, 2024
Understanding students' learning of knowledge components (KCs) is an important educational data mining task and enables many educational applications. However, in the domain of computing education, where program exercises require students to practice many KCs simultaneously, it is a challenge to attribute their errors to specific KCs and,…
Descriptors: Programming Languages, Undergraduate Students, Learning Processes, Teaching Models
Dukes, Dominique – MDRC, 2021
The Evidence to Action project (2019-2021), led by MDRC and the State Higher Education Executive Officers Association (SHEEO) and supported by Arnold Ventures, initiated a body of work designed to disentangle the barriers that exist between research and state-level higher education policy and partnered with state higher education agencies to…
Descriptors: State Policy, Educational Policy, Higher Education, Educational Research
Bryant, Rebecca; Fransen, Jan; de Castro, Pablo; Helmstutler, Brenna; Scherer, David – OCLC Online Computer Library Center, Inc., 2021
Research information management (RIM) is a rapidly growing area of investment in US research universities. RIM systems that support the collection and use of research outputs metadata have been in place for many years. Globally, the RIM ecosystem is quite mature in locales where national research assessment exercises like the United Kingdom's…
Descriptors: Research Universities, Information Management, Metadata, Data Use
Bryant, Rebecca; Fransen, Jan; de Castro, Pablo; Helmstutler, Brenna; Scherer, David – OCLC Online Computer Library Center, Inc., 2021
Research Information Management (RIM) is a rapidly growing area of investment in US research universities, comprised of a variety of use cases, stakeholders, and products. This growth has been characteristically decentralized, resulting in silos, multiple systems, and frequent duplication of efforts at many institutions. This report is a two-part…
Descriptors: Research Universities, Information Management, Metadata, Data Use
Hunt-Isaak, Noah; Cherniavsky, Peter; Snyder, Mark; Rangwala, Huzefa – International Educational Data Mining Society, 2020
National failure rates seen in undergraduate introductory CS courses are quite high. In this paper, we develop a predictive model for student in-class performance in an introductory CS course. The model can serve as an early warning system, flagging struggling students who might benefit from additional support. We use a variety of features from…
Descriptors: Textbooks, Surveys, Grade Prediction, Undergraduate Students
Council for Adult and Experiential Learning, 2021
Many postsecondary institutions already recognize that adults comprise a significant portion of their student body -- or they may be starting to recognize the potential for serving more adults as they face declining enrollments from their traditional student pipelines. These institutions realize that they should have programs and services in place…
Descriptors: Data Use, Adult Students, Adult Learning, Academic Achievement
Romano, Richard M.; D'Amico, Mark M. – Association for Institutional Research, 2021
A commonly used metric for measuring college costs, drawn from data in the Integrated Postsecondary Education Data System (IPEDS), is expenditure per full-time equivalent (FTE) student. This article discusses an error in this per FTE calculation when using IPEDS data, especially with regard to community colleges. The problem is that expenditures…
Descriptors: Noncredit Courses, Enrollment, Community Colleges, Institutional Characteristics
Beamer, Zachary – Inquiry, 2021
In corequisite models of instruction, marginally prepared students are placed directly into college-level coursework, taught with a paired support course. Initial research suggests that such models yield significant improvements in the number of students passing credit-level mathematics when compared to previous models of prerequisite remediation.…
Descriptors: Required Courses, Developmental Studies Programs, College Mathematics, Community Colleges
State Council of Higher Education for Virginia, 2020
Efforts across higher education, economic development, workforce development and secondary education address alignment, which the State Council of Higher Education for Virginia (SCHEV) Council defines as helping individuals prepare for and obtain meaningful careers while also meeting employer needs. Specifically, the relationship between workforce…
Descriptors: Alignment (Education), Higher Education, Labor Needs, Education Work Relationship
State Council of Higher Education for Virginia, 2019
"The Virginia Plan for Higher Education" articulates the objective that the Commonwealth will be the best-educated state by 2030. To achieve this objective, Virginia not only must increase educational-attainment rates, but also close the gaps in the differing rates of attainment that exist across its population and its regions. The…
Descriptors: Educational Attainment, Higher Education, Data Use, State Policy
Perry, Angela – Institute for College Access & Success, 2020
States invest heavily in education, providing funding either directly or in the form of financial aid from preschool through college, with positive outcomes from those impacting nearly every other area of public policy, particularly the workforce. To understand and assess results, states collect and analyze information about these investments at…
Descriptors: Student Financial Aid, State Legislation, State Programs, Databases