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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
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Thelk, Amy D.; McGraw, Jillian P.; Hanel, Joel – Assessment Update, 2023
Following a set of state meetings held throughout fall 2020, the Virginia Education Assessment Collaborative (VEAC) decided to offer a mini-conference in November 2020 to round out offerings and to buttress conversation around topics of high need and interest to Educator Preparation Providers (EPPs). Leveraging the familiar process of the…
Descriptors: Stakeholders, Conferences (Gatherings), Videoconferencing, Teacher Education Programs
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
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Cano, Alberto; Leonard, John D. – IEEE Transactions on Learning Technologies, 2019
Early warning systems have been progressively implemented in higher education institutions to predict student performance. However, they usually fail at effectively integrating the many information sources available at universities to make more accurate and timely predictions, they often lack decision-making reasoning to motivate the reasons…
Descriptors: Progress Monitoring, At Risk Students, Disproportionate Representation, Underachievement
State Council of Higher Education for Virginia, 2020
The 2020 General Assembly directed the State Council of Higher Education for Virginia (SCHEV) to develop a plan for implementing a statewide survey of institutional expenditures by program and academic discipline at Virginia's public higher education institutions, and submit a report and recommendations to the Governor and the Chairs of the House…
Descriptors: State Surveys, Expenditures, State Legislation, Statewide Planning
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
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Barret, Mandy; Branson, Lisa; Carter, Sheryl; DeLeon, Frank; Ellis, Justin; Gundlach, Cirrus; Lee, Dale – Inquiry, 2019
Artificial intelligence (AI) technology is becoming the basis for business. Most businesses use it to improve the customer experience. The education community is just beginning to find ways to successfully implement AI for staff and students. Artificial Intelligence should be leveraged to create a better student experience. For example, Elon…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Educational Opportunities
Swail, Watson Scott; Fung-Angarita, Maly – Educational Policy Institute, 2018
The issue of student retention and graduation from postsecondary institutions has grown in stature over the past decade. While the last 40 years of federal and state policies have focused largely on access to college, there is now a very real interest in not only getting students into college but also helping them earn baccalaureate and other…
Descriptors: Data Collection, Postsecondary Education, College Students, School Holding Power
American Association of Community Colleges, 2018
Since 2012, community colleges have made a considerable effort to increase student success and completion. Today, as much greater attention is being paid to drawing stronger linkages between education and workforce needs, institutions are becoming more strategic and deliberate in this work. In particular, many institutions are building stronger…
Descriptors: Community Colleges, College Role, Two Year College Students, College Readiness
Buckwalter, Veronica; Maag, Taylor – Jobs for the Future, 2019
This report examines the structural divide between for-credit and noncredit postsecondary education and the problems it presents for people seeking better jobs with higher pay. It highlights innovative ways that some community colleges are trying to bridge the gap nationally--creating more seamless pathways between credit and noncredit…
Descriptors: Postsecondary Education, Adults, College Credits, Noncredit Courses
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Hurney, Carol A.; Brantmeier, Edward J.; Good, Megan R.; Harrison, Douglas; Meixner, Cara – Journal of Faculty Development, 2016
Assessment is a cyclical process within which educators construct outcomes, implement programs, assess constructs such as learning, evaluate results, and utilize results to craft stronger programs and services. Within educational and faculty development, assessment measures program impact on faculty, students, and/or institutional culture.…
Descriptors: Faculty Development, Teacher Evaluation, Evaluation Methods, Evidence Based Practice
Holton, Valerie L.; Jettner, Jennifer F.; Early, Jennifer L.; Shaw, Kathleen K. – Metropolitan Universities, 2015
Universities increasingly see community engagement as a means to achieve their mission. In order to assess the impact of these efforts, it is necessary to gather and analyze data from across the institution on community-engaged activities. This article presents a case study of Virginia Commonwealth University's efforts in developing enterprise…
Descriptors: Partnerships in Education, Colleges, Case Studies, School Community Relationship
Corning, Amy; Senechal, Jesse; Hutton, Amy – State Council of Higher Education for Virginia, 2015
In the fall of 2008, the State Council of Higher Education for Virginia (SCHEV) commissioned a research study comparing the college access provider resources in Virginia to the access and academic achievement needs of the state. That study--conducted by researchers from the College of William and Mary and West Carolina University--resulted in the…
Descriptors: Access to Education, Statewide Planning, State Surveys, Higher Education
Southern Regional Education Board (SREB), 2015
The Southern Regional Education Board (SREB)-State Data Exchange is a cooperative effort of the SREB and the statewide higher education governing and coordinating boards in the South. Founded in 1969-1970, it is one of the nation's oldest, most comprehensive sources of comparative data on public higher education. The Data Exchange annually…
Descriptors: Consortia, Clearinghouses, Regional Programs, Data Collection
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