ERIC Number: EJ1049162
Record Type: Journal
Publication Date: 2015
Abstractor: As Provided
Reference Count: 7
Is "Moneyball" the Next Big Thing in Education?
Phi Delta Kappan, v96 n4 p64-67 Dec 2014-Jan 2015
Predictive analytics in education can offer a benefit as long as educators heed the differences between how the tools are used in industry and how they should be used differently in schooling. Perhaps most important, teachers already know a great deal about their students--far more than an investor knows about a stock or a baseball scout about an up-and-coming pitcher. In fact, teachers are a veritable treasure trove of data on student behaviors, attitudes, and aspirations, information not typically included in a statistical model. Teachers also have far more power to shape what happens to students, an influence driven in part by their opinions of each child. Using predictive analytics in education while ignoring these differences may lead not only to misidentifying students at risk of dropping out but also negatively influence how teachers view those students.
Descriptors: Prediction, Predictive Validity, Teacher Student Relationship, Familiarity, Decision Support Systems, Data Analysis, At Risk Students, Early Intervention, Disability Identification
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Authoring Institution: N/A