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Achmad Bisri; Supardi; Yayu Heryatun; Hunainah; Annisa Navira – Journal of Education and Learning (EduLearn), 2025
In the educational landscape, educational data mining has emerged as an indispensable tool for institutions seeking to deliver exceptional and high-quality education. However, education data revealed suboptimal academic performance among a significant portion of the student population, which consequently resulted in delayed graduation. This…
Descriptors: Data Analysis, Models, Academic Achievement, Evaluation Methods
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Thomas Mgonja; Francisco Robles – Journal of College Student Retention: Research, Theory & Practice, 2024
Completion of remedial mathematics has been identified as one of the keys to college success. However, completion rates in remedial mathematics have been low and are of much debate across America. This study leverages machine learning techniques in trying to predict and understand completion rates in remedial mathematics. The purpose of this study…
Descriptors: Predictor Variables, Remedial Mathematics, Mathematics Achievement, Graduation Rate
Egon J. Heidendal – ProQuest LLC, 2022
Performance funding has been a popular form of funding colleges and universities for several decades. Often the purpose is to make universities more efficient (Miao, 2012). Missouri has had two separate models of performance funding in play, a decade apart. In this research both performance funding models are examined, including a 10- year period…
Descriptors: Graduation Rate, Public Colleges, Educational Finance, Financial Support
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Alexandron, Giora; Wiltrout, Mary Ellen; Berg, Aviram; Gershon, Sa'ar Karp; Ruipérez-Valiente, José A. – Journal of Computer Assisted Learning, 2023
Background: Massive Open Online Courses (MOOCs) have touted the idea of democratizing education, but soon enough, this utopian idea collided with the reality of finding sustainable business models. In addition, the promise of harnessing interactive and social web technologies to promote meaningful learning was only partially successful. And…
Descriptors: MOOCs, Evaluation, Models, Learner Engagement
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Sletten, Mira Aaboen; Tøge, Anne Grete; Malmberg-Heimonen, Ira – Scandinavian Journal of Educational Research, 2023
This cluster-randomised study investigated the effects of a Norwegian early warning system, the IKO model. IKO is a Norwegian acronym for identification, assessment, and follow-up, and the model aims to improve schools' abilities to identify and support students who are at risk of dropping out during the school year. The study involved 7677…
Descriptors: Attendance, Comparative Analysis, Secondary School Students, Foreign Countries
Lachman, Savita – ProQuest LLC, 2022
In this study, the organizational intelligence model (OI model) was used as a theoretical framework to explore strategic factors (leadership, strategy, and culture) and several hypothesized variables that influence employee engagement as a proxy for improving individual and institutional effectiveness (Falletta & Combs, 2018). A single case…
Descriptors: Employees, Models, Leadership, Community Colleges
Complete College America, 2023
The United States cannot meet its higher education goals without changing the way it funds public colleges and universities. Current funding models do not sufficiently advance fully scaled improvements. Instead, today's models create unfunded mandates: Colleges are required to increase completion rates, but they do not receive essential funding…
Descriptors: Higher Education, Educational Finance, Graduation Rate, Outcome Based Education
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Miia Rissanen; Jyrki Savolainen; Mikael Collan – Policy Futures in Education, 2024
This research explores the suitability of system-based simulation analysis for higher education (HE) policy-planning. A dynamic system model of the Finnish university funding system covering bachelor-level students is presented. The results show that the model captures the nature of the current funding system, which can be considered a zero-sum…
Descriptors: Foreign Countries, Colleges, Financial Support, Educational Finance
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Jim Rost; Anita Carol Swayze; Janet McCormick – Experiential Learning and Teaching in Higher Education, 2023
A large American university in the southeastern United States has infused experiential learning into academic courses to create a national model that is both sustainable and replicable. The EXL Scholars Program has consistently shown growth and significant positive outcomes by providing students with opportunities for hands-on experiences in their…
Descriptors: Graduation Rate, Experiential Learning, Undergraduate Students, Service Learning
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Thu D. Pham; Levon E. Blue; Angela Baeza; Peter J. Anderson; Congcong Xing; Melanie Saward – Student Success, 2025
The number of Aboriginal and Torres Strait Islander students enrolled at universities continues to increase; however, completion rates have not. In this study, we sought to understand what contributes to university completion rates by Indigenous Australian students. We employed a mixed-method approach, utilising the higher education success factor…
Descriptors: Foreign Countries, Indigenous Populations, Minority Group Students, College Students
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Comunale, Christie L.; Sexton, Thomas R.; Higuera, Michael Shane; Stickle, Kelly – Educational Research Quarterly, 2021
State education departments find themselves pressured to reduce costs while improving student performance. To do so, state education departments must measure the performance of each school district in an objective, data-informed manner. We present a benchmarking methodology and illustrate its application in New York State school districts. We…
Descriptors: School Districts, Academic Achievement, Standardized Tests, Graduation Rate
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Bird, Kelli A.; Castleman, Benjamin L.; Song, Yifeng; Mabel, Zachary – Education Next, 2021
An estimated 1,400 colleges and universities nationwide have invested in predictive analytics technology to identify which students are at risk of failing courses or dropping out, with spending estimated in the hundreds of millions of dollars. How accurate and stable are those predictions? The authors put six predictive models to the test to gain…
Descriptors: Prediction, Models, Data Analysis, Community Colleges
Lilia Silverio-Minaya – ProQuest LLC, 2020
This dissertation contributes to a better understanding of performance management systems (PMS) by examining adoption, stringency, and impact of performance-based funding (PBF) in public institutions of higher education within the United States. The public sector has been under increasing pressure to be more accountable to stakeholders--that is,…
Descriptors: Public Education, Higher Education, Accountability, Educational Finance
Giani, Matt S.; Attewell, Paul; Walling, David – Texas Education Research Center, 2021
Despite advances made in broadening access to higher education, some evidence suggests that college completion rates have actually declined over time, and attainment gaps stemming from race/ethnicity and socioeconomic background have remained stubbornly persistent (Bound, Lovenheim, & Turner, 2010; National Center for Education Statistics,…
Descriptors: Access to Education, Higher Education, Graduation Rate, Academic Persistence
Hill, Colin; Sommo, Colleen; Warner, Kayla – MDRC, 2023
Community colleges in the United States, which serve a disproportionate number of students from low-income backgrounds, can provide a valuable pathway toward well-paying careers. However, graduation rates at community colleges are very low--among first-time, full-time, degree-seeking students who enter public two-year schools, only 29 percent…
Descriptors: Community Colleges, Models, Acceleration (Education), Program Implementation
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