2017
DOI: 10.21577/0100-4042.20170006
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Abstract: Since 2012 we have tracked general chemistry student success rates at the University of Utah. In efforts to improve those rates we have implemented math prerequisites, changed our discussion session format, installed some metacognitive exercises aimed at the lowest quartile of students and instituted a flipped classroom model. Furthermore, using Item Response Theory we have identified what topics each individual student struggles with on practice tests. These steps have increased our success rates to ~76%. As … Show more

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Cited by 2 publications
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“…For an exam containing at least 20 items, Rasch modeling is more effective at detecting learning gains with more consistency and less error than CTT, , which is why it has been applied to a number of high stakes exams (i.e., GRE, MCAT, SAT, etc.). However, the implementation of Rasch modeling is inherently more challenging than CTT, and consequently, there are less than a dozen published examples of applying it to chemistry exams. Much of this work has focused on standardized testing (i.e., the AP chemistry exam and chemical concept inventories) with large ( n > 1000) multiclassroom and multiuniversity data sets. However, Rasch analysis is effective on samples sizes as small as n = 100 .…”
Section: Introductionmentioning
confidence: 99%
“…For an exam containing at least 20 items, Rasch modeling is more effective at detecting learning gains with more consistency and less error than CTT, , which is why it has been applied to a number of high stakes exams (i.e., GRE, MCAT, SAT, etc.). However, the implementation of Rasch modeling is inherently more challenging than CTT, and consequently, there are less than a dozen published examples of applying it to chemistry exams. Much of this work has focused on standardized testing (i.e., the AP chemistry exam and chemical concept inventories) with large ( n > 1000) multiclassroom and multiuniversity data sets. However, Rasch analysis is effective on samples sizes as small as n = 100 .…”
Section: Introductionmentioning
confidence: 99%