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Heather Allmond Barker; Hollylynne S. Lee; Shaun Kellogg; Robin Anderson – Online Learning, 2024
Identifying motivation for enrollment in MOOCs has been an important way to predict participant success rates. But themes for motivation have largely centered around themes for enrolling in any MOOC, and not ones specific to the course being studied. In this study, qualitatively coding discussion forums was combined with topic modeling to identify…
Descriptors: MOOCs, Motivation, Enrollment, Professional Development
Peter Arcidiacono; Karthik Muralidharan; John D. Singleton – National Bureau of Economic Research, 2024
We leverage a unique two-stage experiment that randomized access to private school vouchers across markets as well as students to estimate the revealed preference value of school choice. To do this, we estimate several choice models on data only from control markets before turning to the treatment data for model validation. This exercise reveals…
Descriptors: Private Schools, Educational Vouchers, School Choice, Preferences
Md Akib Zabed Khan; Agoritsa Polyzou – Journal of Educational Data Mining, 2024
In higher education, academic advising is crucial to students' decision-making. Data-driven models can benefit students in making informed decisions by providing insightful recommendations for completing their degrees. To suggest courses for the upcoming semester, various course recommendation models have been proposed in the literature using…
Descriptors: Academic Advising, Courses, Data Use, Artificial Intelligence
Michelle Spiegel; Leah R. Clark; Thurston Domina; Vitaly Radsky; Paul Y. Yoo; Andrew Penner – Educational Evaluation and Policy Analysis, 2025
Many educational policies hinge on the valid measurement of student economic disadvantage at the school level. Measures based on free and reduced-price lunch enrollment are used widely. However, recent research raises questions about their reliability, particularly following the introduction of universal free lunch in certain schools and…
Descriptors: Disadvantaged Schools, Economically Disadvantaged, Lunch Programs, Poverty
Sarah Ohls; Lauren Covelli; Jonathan Schweig – RAND Corporation, 2025
Microschools are an alternative to traditional schools for families who might be dissatisfied with local school options. Typically, "microschools" are defined as small, tuition-based schools (serving around 15 students) that are designed to offer a more personalized and flexible learning experience compared with traditional schools.…
Descriptors: Small Schools, Models, School Choice, Progress Monitoring
Christopher Campos – National Bureau of Economic Research, 2024
This paper measures parents' beliefs about school and peer quality, how information about each affects school choices, and how social interactions mediate these effects. Parents underestimate school quality and overestimate peer quality. Cross-randomized school and peer quality information combined with a spillover design shows that when parents…
Descriptors: Parent Attitudes, Beliefs, Educational Quality, Peer Relationship
Aiman Khamitova – Prospects, 2024
Universities across the globe are transforming or upgrading their campus infrastructure to prepare students for the work in the 21st century. Such campus transformations can be important in various ways. For example, universities can introduce innovative learning spaces that support recruitment and enrollment policies on campus. Even though the…
Descriptors: Universities, Higher Education, Educational Change, Educational Innovation