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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
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
Shi, Yang; Schmucker, Robin; Chi, Min; Barnes, Tiffany; Price, Thomas – International Educational Data Mining Society, 2023
Knowledge components (KCs) have many applications. In computing education, knowing the demonstration of specific KCs has been challenging. This paper introduces an entirely data-driven approach for: (1) discovering KCs; and (2) demonstrating KCs, using students' actual code submissions. Our system is based on two expected properties of KCs: (1)…
Descriptors: Computer Science Education, Data Analysis, Programming, Coding
Harsh, Joseph A.; Campillo, Molly; Murray, Caylin; Myers, Christina; Nguyen, John; Maltese, Adam V. – CBE - Life Sciences Education, 2019
Given the centrality of data visualizations in communicating scientific information, increased emphasis has been placed on the development of students' graph literacy--the ability to generate and interpret data representations--to foster understanding of domain-specific knowledge and the successful navigation of everyday life. Despite prior…
Descriptors: Eye Movements, Data, Graphs, Undergraduate Students
Xu, Di; Jaggars, Shanna Smith; Fletcher, Jeffrey – Center for Analysis of Postsecondary Education and Employment, 2016
Using detailed administrative data from Virginia, this paper examines how and why the community college pathway to a baccalaureate influences students' degree attainment and short-term labor market performance. We find that the community college pathway sharply reduces the likelihood of earning a bachelor's degree but does not have a significant…
Descriptors: Two Year Colleges, Two Year College Students, Community Colleges, Bachelors Degrees
Davis, Shannon N.; Mahatmya, Duhita; Garner, Pamela W.; Jones, Rebecca M. – Mentoring & Tutoring: Partnership in Learning, 2015
Interdisciplinary research is a valuable approach to addressing complex real-world problems. However, undergraduate research mentoring is discussed as an activity that happens in disciplinary silos where the mentor and student scholar share a disciplinary background. By transcending traditional academic divisions, we argue that mentors can train a…
Descriptors: Undergraduate Students, Mentors, Student Research, Interdisciplinary Approach
Hurney, Carol A.; Brown, Justin; Griscom, Heather Peckham; Kancler, Erika; Wigtil, Clifton J.; Sundre, Donna – Journal of College Science Teaching, 2011
The development of scientific and quantitative reasoning skills in undergraduates majoring in science, technology, engineering, and mathematics (STEM) is an objective of many courses and curricula. The Biology Department at James Madison University (JMU) assesses these essential skills in graduating biology majors by using a multiple-choice exam…
Descriptors: Majors (Students), Standard Setting, Biology, Methods
Southern Regional Education Board (SREB), 2009
The SREB-State Data Exchange is a cooperative effort of 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 collects, compiles and publishes the most…
Descriptors: Statistical Data, Regional Characteristics, Public Education, Higher Education

Virginia State Council of Higher Education, Richmond. – 1975
Summary information on undergraduate applications for admission to Virginia's state-supported institutions of higher education is presented. The tables contained in this publication report figures by residence and type of institution for the following categories: total applications receiving decision; applications accepted; percent of applications…
Descriptors: College Admission, College Applicants, Community Colleges, Enrollment
National Survey of Student Engagement, 2006
The National Survey of Student Engagement (NSSE) documents dimensions of quality in undergraduate education and provides information and assistance to colleges, universities, and other organizations to improve student learning. Its primary activity is annually surveying college students to assess the extent to which they engage in educational…
Descriptors: Learner Engagement, National Surveys, Student Surveys, Undergraduate Students
Virginia State Council of Higher Education, Richmond. – 1995
The first of a series of publications designed to answer questions about higher education in Virginia, this booklet presents bar graphs showing data on who enters Virginia's public colleges and universities, what it costs them, and at what rates they progress and graduate. Data reflect what was happening in 1994 or earlier, before Virginia's…
Descriptors: Academic Persistence, College Freshmen, Graduate Students, Higher Education