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Parian Haghighat; Denisa Gandara; Lulu Kang; Hadis Anahideh – Grantee Submission, 2024
Predictive analytics is widely used in various domains, including education, to inform decision-making and improve outcomes. However, many predictive models are proprietary and inaccessible for evaluation or modification by researchers and practitioners, limiting their accountability and ethical design. Moreover, predictive models are often opaque…
Descriptors: Prediction, Learning Analytics, Multivariate Analysis, Regression (Statistics)
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Denisa Gandara; Hadis Anahideh – Society for Research on Educational Effectiveness, 2024
Background/Context: Predictive analytics has emerged as an indispensable tool in the education sector, offering insights that can improve student outcomes and inform more equitable policies (Friedler et al., 2019; Kleinberg et al., 2018). However, the widespread adoption of predictive models is hindered by several challenges, including the lack of…
Descriptors: Prediction, Learning Analytics, Ethics, Statistical Bias
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Portz, John; Beauchamp, Nicholas – Educational Policy, 2022
This paper examines different state approaches to educational accountability in response to the Every Student Succeeds Act. Cluster analysis reveals three groups of states with similar indicator weights and rating systems, and principal component analysis identifies two dimensions underlying these clusters. We find that state-level demographics…
Descriptors: Accountability, Educational Legislation, Elementary Secondary Education, Federal Legislation
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Perrotta, Carlo; Williamson, Ben – Learning, Media and Technology, 2018
This paper argues that methods used for the classification and measurement of online education are not neutral and objective, but involved in the creation of the educational realities they claim to measure. In particular, the paper draws on material semiotics to examine cluster analysis as a 'performative device' that, to a significant extent,…
Descriptors: Educational Research, Data Collection, Data Analysis, Multivariate Analysis
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Muijs, Daniel; Bokhove, Christian – British Educational Research Journal, 2017
Student satisfaction has received growing attention in Higher Education systems in recent years, and are increasingly used for internal and external accountability in the sector. This does leave us with questions on the extent to which variance in student satisfaction can be explained by Higher Education Institution (HEI) and course attended…
Descriptors: Graduate Students, Student Satisfaction, Postdoctoral Education, Multivariate Analysis
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Kannan, Priya; Sgammato, Adrienne – ETS Research Report Series, 2017
Logistic regression (LR)-based methods have become increasingly popular for predicting and articulating cut scores. However, the precision of predictive relationships is largely dependent on the underlying correlations between the predictor and the criterion. In two simulation studies, we evaluated the impact of varying the underlying grade-level…
Descriptors: Regression (Statistics), Cutting Scores, Prediction, Accuracy
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Jones, Karen L.; Tymms, Peter; Kemethofer, David; O'Hara, Joe; McNamara, Gerry; Huber, Stephan; Myrberg, Eva; Skedsmo, Guri; Greger, David – Oxford Review of Education, 2017
It has been widely documented that accountability systems, including school inspections, bring with them unintended side effects. These unintended effects are often negative and have the potential to undo the intended positive effects. However the empirical evidence is limited. Through a European comparative study we have had the rare opportunity…
Descriptors: Foreign Countries, Comparative Education, Inspection, School Visitation
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Pizmony-Levy, Oren; Woolsey, Ashley – Education Policy Analysis Archives, 2017
Although educators are at the center of contentious high-stakes teacher accountability policies, we know very little about their attitudes toward these policies. This research gap is unfortunate because teachers are considered key actors in successful implementation of educational reforms. To what extent do the politics that accompany the…
Descriptors: Politics of Education, Teacher Attitudes, Teacher Evaluation, Accountability
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Urick, Angela; Wilson, Alison S. P.; Ford, Timothy G.; Frick, William C.; Wronowski, Meredith L. – Educational Administration Quarterly, 2018
Purpose: To advance a framework of indicators that promotes implementation of math standards under the Every Student Succeeds Act (ESSA), we tested a conceptual model of the resources and processes within schools that influence the opportunity to learn mathematics (OTL) in the classroom using a recent administration of the 2011 Trends in…
Descriptors: Mathematics Education, Progress Monitoring, Educational Indicators, Federal Legislation