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Unformatted text preview: announcement on Bladtboard. The tluee following variables [TA visits, outside work, and inconsistency of attendance in 51 sessions] can be controlled by having the student make TA masses mandatory and having a penalty for missing one class — dropping the student from the course overall. This would prioritize the students outside work and plan out strategically their workload. This would probably cause them to make a schedule and time limits for their daily activities. A more l-ient conn‘ol would he for the student to stay 3E] more minutes after class witlt the TA. to go over material and take a quiz if the student arrives late. Two other variables that need to he controlled in the study is the amount of weekly homework nuned in and extra credit completion. c. I can operationally define the dependent variable by the grades the at—risk student receives irt quizzes, exams, and fun papers. Three possible beneficial measures that can happen to an at-risk student is a more confident understanding of the material. Another benefit can be that the at—risk snnient scores higher than usual on quizzes and exams. Athird benefit can be that the at-risk student visits their TA more often or start visiting if they had not before. The independent variables are the 3. Results a. A statistical test can be performed to measure the test scores between those who attended SI sessions and those who did not. The difference can be calculated by finding the range of quizzes and test scores from those at—risk of who attended and those at—risk of who did not b. The variation between groups can be calculated through standard deviation. First, variance must be calculated by taking each difference of all four groups, squaring it, ...
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