Indianapolis, Indiana
June 15, 2014
June 15, 2014
June 18, 2014
2153-5965
Graduate Studies
6
24.998.1 - 24.998.6
10.18260/1-2--22931
https://peer.asee.org/22931
245
Nikitha Sambamurthy is pursuing a Ph.D. in Engineering Education at Purdue University. Her research interests include: blended-learning in science, technology, engineering, and mathematics (STEM) education, and the implementation and assessment of games for engineering knowledge transfer.
Monica F. Cox, Ph.D. is an Associate Professor in the School of Engineering Education and is the Inaugural Director of the College of Engineering’s Leadership Minor at Purdue University. She also serves as the Executive Director of the International Institute for Engineering Education Assessment (i2e2a). She obtained a B.S. in mathematics from Spelman College, a M.S. in industrial engineering from the University of Alabama, and a Ph.D. in Leadership and Policy Studies from Peabody College of Vanderbilt University. Her teaching interests relate to the professional development of graduate engineering students and to leadership, policy, and change in STEM education. Primary research projects explore the preparation of graduate students for diverse careers and the development of reliable and valid engineering education assessment tools. She is a NSF Faculty Early Career (CAREER) and Presidential Early Career Award for Scientists and Engineers (PECASE) recipient.
Yukiko Maeda is an assistant professor of Educational Psychology in the area of research methodology in the Department Educational Studies. She has expertise in educational measurement and statistics including the application of multilevel modeling in educational research.
Generation of Teaching Profiles by the Global Real-Time Assessment Tool for Teaching Enhancement (G-RATE)This paper presents a brief overview of an initial pilot study conducted with the G-RATE and thedevelopment of instructor profiles. The purpose of the pilot study is to investigate how studentperceptions of teaching practices on these key areas and students’ end of the course grades differamong three conditions (instructors received no feedback on their instruction in the middle of thesemester (C), instructors received feedback, but no individual meeting for reflection on theirteaching was provided (T1), and instructors received feedback on their teaching and reflectivecomments were provided at an individual meeting (T2)). Multivariate Analysis of Variance(MANOVA) indicated students perceptions of teaching practices differ among three conditions(C, T1, and T2). Further investigation with Post-hoc analyses and descriptive statistics indicatedthat C and T2 do not differ significantly except in a learning-centered area; T1 and T2 showedsignificant differences in all key areas. Interestingly, students under the T1 reported higheraverage rating scores on these areas than students taught by instructors under T2. This suggeststhat providing feedback to instructors is likely to help them to reflect on their own instruction.Comparison of achievement among groups indicated that there are statistically significantdifferences among groups. No students scored very low for their final grades (less than 60% inachievement in T2 condition), and it seems that students in the T2 group tend to do better thanstudents in C or T1 groups, although effect size is relatively small. However, the nature ofreview session at an individual meeting needs to be refined for highlighting the utility offeedback provided by G-RATE. This paper concludes with insight about future work using theG-RATE.
Sambamurthy, N., & Cox, M. F., & Maeda, Y., & Perram, K. J., & Alexander, V. G. (2014, June), Preliminary Analyses of Survey and Student Outcome Data using the Global Real-Time Tool for Teaching Enhancement (G-RATE) Paper presented at 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. 10.18260/1-2--22931
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