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Reginald M. Gooch; Joseph H. Paris; Sara B. Haviland; Jose Sotelo – Journal of College Access, 2024
Prospective graduate students' noncognitive attributes are commonly evaluated as a part of a holistic review of their admission applications. Yet it is difficult to determine which noncognitive attributes are considered by those who evaluate graduate admissions applications and what approaches they take to measure applicants' noncognitive…
Descriptors: Graduate Students, Enrollment Management, College Applicants, Graduate Study
Dorimé-Williams, Marjorie L.; Williams, Michael Steven; Carr, Amanda; Choi, Soobin; Fritz, N'ya; Joseph, Tricia; Pomilee, Brittany; Udoh, Ekaete – Journal of Student Affairs Research and Practice, 2023
Summer bridge programs (SBPs) are intended to promote student learning, academic achievement, and persistence to graduation. They are also a viable vehicle for supporting diverse minoritized student constituencies. Our study, guided by a student-centered assessment approach, examined the experiences of incoming first-year students. Findings…
Descriptors: Summer Programs, Transitional Programs, Student Attitudes, Academic Achievement
Maynard, Rebecca A.; Baelen, Rebecca N.; Fein, David; Souvanna, Phomdaen – Grantee Submission, 2022
This article offers a case example of how experimental evaluation methods can be coupled with principles of design-based implementation research (DBIR), improvement science (IS), and rapid-cycle evaluation (RCE) methods to provide relatively quick, low-cost, credible assessments of strategies designed to improve programs, policies, or practices.…
Descriptors: Program Improvement, Evaluation Methods, Efficiency, Young Adults
Howley, Caitlin; Campbell, Johnavae; Cowley, Kimberly; Cook, Kimberly – American Journal of Evaluation, 2022
In this article, we reflect on our experience applying a framework for evaluating systems change to an evaluation of a statewide West Virginia alliance funded by the National Science Foundation (NSF) to improve the early persistence of rural, first-generation, and other underrepresented minority science, technology, engineering, and mathematics…
Descriptors: Program Evaluation, Evaluation Methods, Systems Approach, Educational Change
Linda Dale Bloomberg – International Journal of Online Graduate Education, 2024
Student success is increasingly tied to equity-minded policies and practices that ameliorate postsecondary achievement gaps. Educational disruptions over the past few years continue to reshape the education landscape and have continued to illuminate racial and socioeconomic inequities at higher education institutions, deepening the digital divide…
Descriptors: First Generation College Students, Equal Education, Student Centered Curriculum, Measures (Individuals)
Wang, Guangming; Li, Jian; Jian, Jingxian – Best Evidence in Chinese Education, 2021
Using the "Middle School Student Mathematics Learning Non-intellectual Questionnaire," a total of 1,400 middle school students in 11 districts and counties of Tianjin were surveyed. According to the data, using the raw score normalization method and the formula "T = 50+10×Z", the non-intellectual overall and sub-dimension norm…
Descriptors: Middle School Students, Mathematics Instruction, Student Attitudes, Case Studies
Channing, Jill; Okada, Naomi C. – Community College Journal of Research and Practice, 2020
Many scholars have sought to measure the effectiveness of diverse supplemental instruction programs. Nevertheless, it is difficult to generalize about supplemental instruction or compare data, given methodological and statistical incongruities and diverse approaches and student populations at various institutions. Quantitative and qualitative data…
Descriptors: Supplementary Education, Program Effectiveness, Community Colleges, Best Practices
Sanguino, Juan; Manrique, Rubén; Mariño, Olga; Linares-Vásquez, Mario; Cardozo, Nicolas – International Educational Data Mining Society, 2022
Recommender systems in educational contexts have proven effective to identify learning resources that fit the interests and needs of learners. Their usage has been of special interest in online self-learning scenarios to increase student retention and improve the learning experience. In current recommendation techniques, and in particular, in…
Descriptors: Data Analysis, Learning Analytics, Student Interests, Student Needs
Clairmont, Albert Anthony; Katz, Daniel; Wilton, Mike – AERA Online Paper Repository, 2021
This study demonstrates the importance of Rasch Measurement Theory (RMT) in program evaluation when outcome measures need to be constructed from scratch. The paper introduces typical measure validation methods presented in program evaluation texts and discusses room for improvement. The study then illustrates how the seamless transitions from…
Descriptors: Program Evaluation, Measurement Techniques, Validity, Ethnography
Siebrase, Benjamin – ProQuest LLC, 2018
Multilayer perceptron neural networks, Gaussian naive Bayes, and logistic regression classifiers were compared when used to make early predictions regarding one-year college student persistence. Two iterations of each model were built, utilizing a grid search process within 10-fold cross-validation in order to tune model parameters for optimal…
Descriptors: Classification, College Students, Academic Persistence, Bayesian Statistics
Vidal Rodeiro, Carmen; Williamson, Joanna – Cambridge University Press & Assessment, 2022
This research will investigate the impact of awarding centre assessment grades (CAGs) on the education system. The focus will be on the progression to post-16 study of the students who sat General Certificate of Secondary Education (GCSE) and/or other Level 1/2 qualifications in June 2020. The uptake of qualifications/subjects taken during the…
Descriptors: Postsecondary Education, Higher Education, Secondary School Students, Achievement Tests
Cullinan, Dan; Biedzio, Dorota – MDRC, 2021
Colleges throughout the United States are evaluating the effectiveness of their strategies to place entering students into college-level or developmental education courses. Developmental, or remedial, courses are designed to advance the reading, writing, and math skills of students who are deemed academically underprepared for college-level…
Descriptors: Academic Persistence, Student Placement, Student Evaluation, Remedial Instruction
Sharp, Laurie A. – Journal of College Academic Support Programs, 2022
DE programming in higher education should be designed to increase student success, and well-designed corequisite models have shown great potential as an accelerated option for completion of the first college-level course in math. With the support of a Texas Higher Education Coordinating Board grant, Tarleton State University, a member institution…
Descriptors: Models, Mathematics Instruction, Teaching Methods, Program Design
Terrence Narinesingh – Online Submission, 2023
The Strategic Universal Design for Learning Course Development (S-UDLCD™) Faculty & Institutional Evaluation System (2023) is a research-based framework for assessing faculty performance, enhancing student retention, and improving institutional effectiveness. Unlike traditional models, this system integrates predictive analytics, student…
Descriptors: Institutional Evaluation, Evaluation Methods, Pilot Projects, Access to Education
Balu, Rekha; Porter, Kristin – MDRC, 2017
Many low-income young people are not reaching important milestones for success (for example, completing a program or graduating from school on time). But the social-service organizations and schools that serve them often struggle to identify who is at more or less risk. These institutions often either over- or underestimate risk, missing…
Descriptors: Low Income Groups, At Risk Students, Youth Programs, School Role