TY - JOUR
T1 - Work in progress
T2 - 2020 ASEE Virtual Annual Conference, ASEE 2020
AU - Ozymko, Natalia
AU - McCarthy, Matthew Allan
AU - Fagen-Ulmschneider, Wade
AU - Jensen, Karin
AU - Flanagan, Karle
N1 - Funding Information:
Karin Jensen, Ph.D. is a Teaching Assistant Professor in bioengineering at the University of Illinois at Urbana-Champaign. Her research interests include student mental health and wellness, engineering student career pathways, and engagement of engineering faculty in engineering education research. She was awarded a CAREER award from the National Science Foundation for her research on undergraduate mental health in engineering programs. Before joining UIUC she completed a post-doctoral fellowship at Sanofi Oncology in Cambridge, MA. She earned a bachelor’s degree in biological engineering from Cornell University and a Ph.D. in biomedical engineering from the University of Virginia.
Publisher Copyright:
© American Society for Engineering Education 2020.
PY - 2020/6/22
Y1 - 2020/6/22
N2 - In this work, we used log files gathered from an online queueing system and combined those logs with the scores students earned on graded assessments. With data from four sections across two semesters of a large sophomore-level computer science course, this work is the largest known observational analysis of the impact of office hour attendance on graded assessments. This work in progress begins this analysis by exploring the relationship between office hour attendance and graded assessments over a full academic year in a large Data Structures course (n=1,238 students). Our initial findings suggest that there are several relationships that warrant further exploration. The first major finding is that office hour attendance provides a significant increase to a student's score on upcoming graded homework; however, it does not provide a significant boost to a student's score on upcoming exams. The second major finding is that the overall impact on a student's course grade by attending office hours decreases the closer that student attended office hours relative to an assignment due date or exam date. Our work outlines the statistical techniques used in our analysis, explores differences between various sections of a course across two semesters, and provides an outline of recommended changes for how office hours are run based on lessons learned from this analysis. In the future, we hope that this will lead to improved learning, which will improve students' mastery of the material and problem-solving abilities.
AB - In this work, we used log files gathered from an online queueing system and combined those logs with the scores students earned on graded assessments. With data from four sections across two semesters of a large sophomore-level computer science course, this work is the largest known observational analysis of the impact of office hour attendance on graded assessments. This work in progress begins this analysis by exploring the relationship between office hour attendance and graded assessments over a full academic year in a large Data Structures course (n=1,238 students). Our initial findings suggest that there are several relationships that warrant further exploration. The first major finding is that office hour attendance provides a significant increase to a student's score on upcoming graded homework; however, it does not provide a significant boost to a student's score on upcoming exams. The second major finding is that the overall impact on a student's course grade by attending office hours decreases the closer that student attended office hours relative to an assignment due date or exam date. Our work outlines the statistical techniques used in our analysis, explores differences between various sections of a course across two semesters, and provides an outline of recommended changes for how office hours are run based on lessons learned from this analysis. In the future, we hope that this will lead to improved learning, which will improve students' mastery of the material and problem-solving abilities.
UR - http://www.scopus.com/inward/record.url?scp=85095721963&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85095721963&partnerID=8YFLogxK
U2 - 10.18260/1-2--33960
DO - 10.18260/1-2--33960
M3 - Conference article
AN - SCOPUS:85095721963
SN - 2153-5965
VL - 2020-June
JO - ASEE Annual Conference and Exposition, Conference Proceedings
JF - ASEE Annual Conference and Exposition, Conference Proceedings
M1 - 12
Y2 - 22 June 2020 through 26 June 2020
ER -