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Using 'advising Contours' For Placement In First Year Quantitative Courses
Author(s) -
Eric P. Soulsby
Publication year - 2020
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--15440
Subject(s) - percentile , percentile rank , logistic regression , test (biology) , session (web analytics) , class (philosophy) , mathematics education , rank (graph theory) , computer science , entrance exam , mathematics , statistics , artificial intelligence , machine learning , combinatorics , predictive validity , paleontology , world wide web , biology
Prior to 2004, the University of Connecticut required all students to take mathematics placement tests prior to enrolling in any quantitative course. Two tests were required: a Q-course Readiness test and a Calculus Readiness test. These tests were offered online as a pseudo-course within a WebCT environment and were taken by students prior to attending an orientation/registration session during the summer. Successful completion of these tests at a minimum 60% passing rate was necessary for a student to be able to register for a quantitative and calculus course, respectively. Based on a statistical analysis of the performance of students in quantitative course work, it was determined that these placement tests could be replaced; i.e., there was little value added in having the mandatory tests taken prior to enrollment when other factors such as a student’s Math SAT and high school class rank information could serve as suitable predictors of performance. A logistic regression analysis was performed whereby “success” in a quantitative course was equated to obtaining a grade of C or higher, with a grade of Cor below being equated with “failure”. Significant model parameters used in the logistic regression included the student’s Math SAT score and high school class rank percentile. ‘Advising Contours’ were developed for each 100-level quantitative course taken by first year students. These contour diagrams were published on a placement web site to aid students and advisors in selecting which quantitative courses to enroll in during the first term. Placement in quantitative course work has therefore shifted from requiring a gatekeeper placement test to being advisory in nature with the ‘Advising Contours’ forming a crucial piece of information for both students and advisors. Placement in first-year calculus makes use of a new Calculus Readiness Survey offered online within the WebCT environment in conjunction with the ‘Advising Contours’ for each of the different levels of calculus.

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