Seattle, Washington
June 14, 2015
June 14, 2015
June 17, 2015
978-0-692-50180-1
2153-5965
First-Year Programs
16
26.1518.1 - 26.1518.16
10.18260/p.24856
https://peer.asee.org/24856
561
Joseph Dannemiller is an instructor with the Whitacre College of Engineering, and an NSF/IGERT Ph.D. candidate in Wind Science and Engineering with the National Wind Institute, both at Texas Tech University. He has served as an instructor for three years. His research focuses are in advanced reliability analysis of wood frame structures subject to extreme wind and surge loads, and in statistical analysis of extreme wind data. Joseph has been part of FEMA MAT teams dispatched to Tuscaloosa and Birmingham Alabama, Joplin Missouri, and Moore Oklahoma researching life safety issues after major tornado events.
Dr. Audra Morse, P.E., is the Associate Dean for Undergraduate Studies in the Whitacre College of Engineering and a Professor in the Department of Civil and Environmental Engineering at Texas Tech University. She leads the Engineering Opportunities Center which provides retention, placement and academic support services to WCOE students. Her professional experience is focused on water and wastewater treatment, specifically water reclamation systems, membrane filtration and the fate of personal products in treatment systems.
Dr. Stephen M. Morse serves as an assistant professor at Texas Tech University. He has extensive experience in model scale and full scale testing, numerical modeling and software development. His research interests include window glass strength, wind loads on structures and finite element analysis. Stephen serves as a technical adviser on the ASTM subcommittee responsible for maintaining and updating the national window glass design standard, ASTM E1300.
The Direct Relationship between Grade Dispersion and Submission TimeabstractStudents beginning a university degree program are often unaccustomed to the rigorous nature ofcollegiate homework assignments and may wait until the last possible moment to begin andcomplete homework assignments, despite any forewarnings by their course instructors to start anassignment early. As students mature and gain more experience, many have found beginningassignments earlier often results a more in-depth understanding of the homework concepts andbetter overall homework grades. With the increased use of digital systems to assign and managehomework assignments several metrics including the first time a student views the assignment(starts) and when the student submits their solution (ends) are automatically tracked. Using suchdata, results from over 180 freshman engineering students enrolled in an introduction toengineering course are reviewed to explore the trend between submissions times and scorereceived through assignment durations. Trends in the data show that homework submitted earlyfalls into more favorable distributions based on first and second moments of score distributions.Additionally, a relationship exists between the time of day the homework is submitted andhomework performance. Data used to identify these relationships is pulled from four separatecourse sections and 12 assignments.
Dannemiller, J. B., & Morse, A. N., & Morse, S. M. (2015, June), The Direct Relationship Between Grade Dispersion and Submission Time Paper presented at 2015 ASEE Annual Conference & Exposition, Seattle, Washington. 10.18260/p.24856
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