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Nathalie Rzepka; Linda Fernsel; Hans-Georg Müller; Katharina Simbeck; Niels Pinkwart – Computer-Based Learning in Context, 2023
Algorithms and machine learning models are being used more frequently in educational settings, but there are concerns that they may discriminate against certain groups. While there is some research on algorithmic fairness, there are two main issues with the current research. Firstly, it often focuses on gender and race and ignores other groups.…
Descriptors: Algorithms, Artificial Intelligence, Models, Bias
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Barros, Thiago M.; Souza Neto, Plácido A.; Silva, Ivanovitch; Guedes, Luiz Affonso – Education Sciences, 2019
Predicting school dropout rates is an important issue for the smooth execution of an educational system. This problem is solved by classifying students into two classes using educational activities related statistical datasets. One of the classes must identify the students who have the tendency to persist. The other class must identify the…
Descriptors: Predictor Variables, Models, Dropout Rate, Classification
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Pursel, B. K.; Zhang, L.; Jablokow, K. W.; Choi, G. W.; Velegol, D. – Journal of Computer Assisted Learning, 2016
Massive open online courses (MOOCs) continue to appear across the higher education landscape, originating from many institutions in the USA and around the world. MOOCs typically have low completion rates, at least when compared with traditional courses, as this course delivery model is very different from traditional, fee-based models, such as…
Descriptors: Online Courses, Graduation Rate, Delivery Systems, Models
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Kopanidis, Foula Zografina; Shaw, Michael John – Education & Training, 2017
Purpose: Educational institutions are caught between increasing their offer rates and attracting and retaining those prospective students who are most suited to course completion. The purpose of this paper is to demonstrate the influence of demographic and psychological constructs on students' preferences when choosing to study in a particular…
Descriptors: Student Attitudes, Course Selection (Students), Preferences, Models
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Williams-Klotz, Denise N.; Gansemer-Topf, Ann M. – Journal of College Student Development, 2017
We examined how the experiences--academic, financial, social, and personal--and relationship factors of military-connected students attending a 4-year institution are associated with their academic success. This multi-institution study highlights the demographic characteristics, experiences, and campus relationships that are associated with…
Descriptors: Military Service, Grade Point Average, Academic Achievement, Student Characteristics
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Huang, Liuli; Roche, Lahna R.; Kennedy, Eugene; Brocato, Melissa B. – International Journal of Higher Education, 2017
Many researchers have explored the relationships between the likelihood of graduating from college and demographic and pre-college factors such as gender, race/ethnicity, high school grade point average (GPA), and standardized test scores. However, additional factors such as a student's college major, home address, or use of learning support in…
Descriptors: Graduation Rate, Predictor Variables, Predictive Measurement, Predictive Validity
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Johnson, Matthew T.; Lipscomb, Stephen; Gill, Brian – Journal of Research on Educational Effectiveness, 2015
Teacher value-added models (VAMs) must isolate teachers' contributions to student achievement to be valid. Well-known VAMs use different specifications, however, leaving policymakers with little clear guidance for constructing a valid model. We examine the sensitivity of teacher value-added estimates under different models based on whether they…
Descriptors: Teacher Effectiveness, Teacher Influence, Academic Achievement, Models
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Iqbal, Shakeel; Bhatti, Zeeshan Ahmed – International Review of Research in Open and Distributed Learning, 2015
M-learning is learning delivered via mobile devices and mobile technology. The research indicates that this medium of learning has potential to enhance formal as well as informal learning. However, acceptance of m-learning greatly depends upon the personal attitude of students towards this medium; therefore this study focuses only on the…
Descriptors: Foreign Countries, College Students, Electronic Learning, Student Attitudes
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Yu, Hongwei – Community College Enterprise, 2014
The study conducts a review on the linkage between student loans and low-income students' baccalaureate degree achievement. Specifically, this study synthesizes literature on low-income students' borrowing patterns, low-income students' baccalaureate degree achievement, as well as the relationship between these two topics. Future research should…
Descriptors: Student Loan Programs, Student Financial Aid, Low Income Students, Bachelors Degrees
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Dauter, Luke; Fuller, Bruce – American Educational Research Journal, 2016
Higher rates of school switching by students contribute to achievement disparities and are typically theorized as driven by attributes of individual pupils or families. In contrast the neoclassical-economic account postulates that switching is necessary for competition among schools. We argue that both frames fail to capture social-referential and…
Descriptors: Student Mobility, Social Environment, Ecological Factors, Peer Influence
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Soria, Krista M.; Stubblefield, Robin – Journal of The First-Year Experience & Students in Transition, 2014
As strengths-based approaches continue to gain steady momentum in colleges and universities, a distinct need for scholarship on the benefits of strengths-based practices has emerged. In fall 2011, all first-year students at a university in the Midwest were invited to discover their strengths by taking the Clifton StrengthsFinder. The purpose of…
Descriptors: College Freshmen, Learner Engagement, Academic Achievement, Self Efficacy
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Liao, Hsiang-Ann; Edlin, Margot; Ferdenzi, Anita Cuttita – Community College Journal of Research and Practice, 2014
This study examined how self-efficacy and motivation affected student persistence at an urban community college. Self-efficacy was studied at two dimensions: self-regulated learning efficacy and self-efficacy for academic achievement. Motivation was also investigated at two levels: intrinsic motivation and extrinsic motivation. Results show that…
Descriptors: Community Colleges, Urban Schools, Academic Persistence, Self Efficacy
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Mancebón-Torrubia, María Jesús; Ximénez-de-Embún, Domingo Pérez – Education Economics, 2014
The aim of this paper is to test whether the distribution of students by social, cultural and racial characteristics is homogeneous between Spanish public schools (PS) and publicly subsidised private schools (PSPS) or whether segregation exists between the profile of pupils attending each type of school. The theoretical framework is based on the…
Descriptors: Foreign Countries, School Choice, Public Schools, Private Schools
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Robertson, W. Brett – Education Policy Analysis Archives, 2015
For-profit charter schools represent a controversial new market-based education reform (Garcia, Barber, & Molnar, 2009; Conn, 2002). This essay explores how schools operated by for-profit corporations differ from those operated by non-profit organizations. Specifically, do for-profit charter schools locate in demographically distinct areas and…
Descriptors: Charter Schools, Proprietary Schools, Demography, School Location
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Balcikanli, Cem – International Journal of Education and Development using Information and Communication Technology, 2015
There has been an increasing attention given to the role of social networking in educational settings. Teacher education is not an exception to this, for teacher education is approaching social media on two fronts: a) application to enhance learning in the process of teacher preparation or professional development b) applications in classrooms…
Descriptors: Foreign Countries, English Teachers, Social Networks, Social Media
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