Data mining and intervention in Calculus I

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dc.contributor.author Manly, Ian
dc.date.accessioned 2018-07-17T13:57:55Z
dc.date.available 2018-07-17T13:57:55Z
dc.date.issued 2018-08-01 en_US
dc.identifier.uri http://hdl.handle.net/2097/39039
dc.description.abstract Many students have difficulty performing well in Calculus 1. Since Calculus 1 is often the first math course that people take in college, these difficulties can set a precedent of failure for these students. Using tools from data mining and interviews with Precalculus and Calculus 1 students, this work seeks to identify the different types of students in Calculus 1, determine which students are at risk for failure, and to study how intervention can help them succeed both in mathematics and in their college careers. en_US
dc.language.iso en_US en_US
dc.subject Calculus en_US
dc.subject Intervention en_US
dc.subject Data mining
dc.title Data mining and intervention in Calculus I en_US
dc.type Dissertation en_US
dc.description.degree Doctor of Philosophy en_US
dc.description.level Doctoral en_US
dc.description.department Department of Mathematics en_US
dc.description.advisor Andrew Bennett en_US
dc.date.published 2018 en_US
dc.date.graduationmonth August en_US


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