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Joanna L. Dickert; Jian Li – Research in Higher Education, 2024
As colleges and universities grapple with uncertainty around current and future enrollment as well as increasingly vocal questions about the value of postsecondary education, it is critically important that institutions ascertain and invest in the elements of campus learning and engagement that add value to the undergraduate experience. This study…
Descriptors: College Graduates, Student Participation, Educational Practices, Longitudinal Studies
Kevin J. Mumford – Annenberg Institute for School Reform at Brown University, 2022
Financing college expenses through an income share agreement (ISA) is an arrangement where the student agrees to pay a fixed percentage of future earned income for a designated period of time in exchange for college funding. Using administrative and survey data for all eligible applicants to a university ISA program, I estimate the adverse…
Descriptors: Admission Criteria, College Students, Income Contingent Loans, Paying for College
Babcock, Renée L.; Georgiou, Jean – Journal of Effective Teaching in Higher Education, 2019
This study used propensity score matching to compare two online courseware systems intended for use as supplements to either face-to-face or online courses. One courseware system focused on adaptive features available to students while completing assignments; whereas the other system was an interactive courseware that provided embedded media…
Descriptors: Computer Software Evaluation, Courseware, Probability, Scores
Bartolj, Tjaša; Polanec, Sašo – Research in Higher Education, 2018
In this article we analyze the effects of student work on academic performance for college students. In order to reduce the endogeneity bias due to selection into treatment, we use propensity score matching technique. This approach allows us to estimate the effects of student work separately for different years of study, which is not possible when…
Descriptors: Academic Achievement, College Students, Probability, Grade Point Average
Tsubaki, Michiko; Ogawara, Wataru; Tanaka, Kenta – International Electronic Journal of Mathematics Education, 2020
This study proposes and examines an analytical method with the aim of improving the quality of education and learning by situating the answers to full descriptive questions in probability and statistics to make variables of learners' comprehension of learned content as answer characteristics, based on actual student mistakes. First, we proposed…
Descriptors: Probability, Statistics, Comprehension, Learning Strategies
Zane, Len – Honors in Practice, 2020
Many of the numbers used to assess students are statistical in nature. The theoretical context underlying the production of a typical number or statistic used in student assessment is presented. The author urges readers to recognize objective data as subjective information and to carefully consider the numbers that often determine admission,…
Descriptors: Student Evaluation, Statistical Analysis, Honors Curriculum, Admission Criteria
Westrick, Paul A.; Marini, Jessica P.; Shmueli, Doron; Young, Linda; Shaw, Emily J.; Ng, Helen – College Board, 2020
In May 2019, College Board published the first national operational SAT® validity study on the new SAT introduced in 2016. Based on data from more than 221,000 students across 169 four-year colleges and universities, the study showed that the SAT was essentially as effective as high school grades in predicting students' college performance and…
Descriptors: College Entrance Examinations, Test Validity, Prediction, Grades (Scholastic)
Cansino, J. M.; Román, Rocío; Expósito, Alfonso – Education Sciences, 2018
This paper analyzes the impact of students' proactivity on academic performance based on a sample from students enrolled in an introductory course of Political Economy at the University of Seville (Spain) in three consecutive courses (2014-2015, 2015-2016 and 2016-2017). Proactivity is measured by several indicators, such as class attendance,…
Descriptors: Student Attitudes, Academic Achievement, Instructional Effectiveness, Introductory Courses
Cazier, Joseph A.; Jones, Leslie Sargent; McGee, Jennifer; Jacobs, Mark; Paprocki, Daniel; Sledge, Rachel A. – Journal of the National Collegiate Honors Council, 2017
Most enrollment management systems today use historical data to build rough forecasts of what percentage of students will likely accept an offer of enrollment based on historical acceptance rates. While this aggregate forecast method has its uses, we propose that building an enrollment model based on predicting an individual's likelihood of…
Descriptors: Honors Curriculum, Enrollment Management, College Students, Probability
Lehrfeld, Jonathan; Zahner, Doris – Council for Aid to Education, 2017
Low motivation to perform well on a test is a potentially problematic source of construct-irrelevant variance (Messick, 1980), especially when there are low or no stakes attached to performance. That is, interpretations of test scores as indicators of students' knowledge and skills may be compromised if those students do not put forth the effort…
Descriptors: Performance Based Assessment, Critical Thinking, Writing Skills, College Students
Adair, Desmond; Jaeger, Martin; Price, Owen M. – International Journal of Higher Education, 2018
The use of a portfolio curriculum approach, when teaching a university introductory statistics and probability course to engineering students, is developed and evaluated. The portfolio curriculum approach, so called, as the students need to keep extensive records both as hard copies and digitally of reading materials, interactions with faculty,…
Descriptors: Active Learning, Introductory Courses, Statistics, Probability
Rzepka, Sylvi – Education Economics, 2018
In this paper, I assess labor market returns of a substantial skill upgrade: college enrollment of the vocationally trained, non-traditional students who do not have the formal entry requirement. Using propensity-score-adjusted regressions and the National Educational Panel Study, I find that these enrollees face high opportunity costs as they…
Descriptors: Labor Market, Outcomes of Education, College Students, Nontraditional Students
Bridge, Dave – Journal of Political Science Education, 2016
With so many role-playing simulations already in the political science education literature, the recent repeated calls for new games is both timely and appropriate. This article answers and extends those calls by advocating the creation of probabilistic games using Microsoft Excel. I introduce the example of the Stag Hunt Game--a short, effective,…
Descriptors: Spreadsheets, Educational Games, Probability, Role Playing
Morgan, Hillary – ProQuest LLC, 2016
The climate in college admissions is more competitive than ever, making understanding the college choice factors that contribute to a student's enrollment decision increasingly important. Using admitted student data from a liberal arts institution in the northeast for fall 2008 to fall 2011, and after controlling for student preparedness,…
Descriptors: Student Financial Aid, College Entrance Examinations, College Admission, College Students
Kalinowski, Steven T.; Willoughby, Shannon – Journal of Research in Science Teaching, 2019
We present a multiple-choice test, the Montana State University Formal Reasoning Test (FORT), to assess college students' scientific reasoning ability. The test defines scientific reasoning to be equivalent to formal operational reasoning. It contains 20 questions divided evenly among five types of problems: control of variables, hypothesis…
Descriptors: Science Tests, Test Construction, Science Instruction, Introductory Courses