2015 ASEE Annual Conference and Exposition Proceedings
DOI: 10.18260/p.23983
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Engineering Supplemental Instruction: Impact on Sophomore Level Engineering Courses

Abstract: Charles is a PhD student in Environmental Sciences at Louisiana State University. In 2012, he earned his master's degree in Medical and Health Physics and has since been working towards a PhD. During his studies, he has worked actively with the LSU STEM Talent and Expansion Program and LSU Center for Academic Success helping with different methods that aim to improve how STEM college students learn including tutorial centers, PLTL, SI, and recitation programs. Dr. Wang's research interests focus on the develo… Show more

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Cited by 9 publications
(23 citation statements)
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“…Research conducted by The U.S. Department of Education, Redish, Longfellow, and many others have reported significant benefits to students enrolled in courses that incorporate active learning strategies (1,2,3) . The initial analysis of the impact of Supplemental Instruction on students in the College of Engineering at Louisiana State University (LSU) was consistent with these previous findings (4) . However, researchers like Dawson and McCarthy recognized some sobering truths-many analyses regarding Supplemental Instruction were incomplete and made weak conclusions (5,6) .…”
supporting
confidence: 75%
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“…Research conducted by The U.S. Department of Education, Redish, Longfellow, and many others have reported significant benefits to students enrolled in courses that incorporate active learning strategies (1,2,3) . The initial analysis of the impact of Supplemental Instruction on students in the College of Engineering at Louisiana State University (LSU) was consistent with these previous findings (4) . However, researchers like Dawson and McCarthy recognized some sobering truths-many analyses regarding Supplemental Instruction were incomplete and made weak conclusions (5,6) .…”
supporting
confidence: 75%
“…In a previous analysis looking for impacts of SI on course passing rates, attendance data were grouped by: students who attended no sessions, students who attended a few sessions (1-3), and students who regularly attended (4 or more sessions) (4) . To determine if the cutoff (4 or more sessions) was unsubstantiated, a test for linear correlation between number of sessions attended and passing rates was created (Figure 1).…”
Section: Methods and Results: Partmentioning
confidence: 99%
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