Green, R. A. (2013, June), A Longitudinal Study of Student Performance in an Elective Applied Digital Signal Processing Course  Paper presented at 2013 ASEE Annual Conference & Exposition, Atlanta, Georgia. 10.18260/1-2--19078

\bibitem{asee_peer_19078}
  Green, R. A. (2013, June), \emph{A Longitudinal Study of Student Performance in an Elective Applied Digital Signal Processing Course}
  Paper presented at 2013 ASEE Annual Conference \& Exposition, Atlanta, Georgia.
  10.18260/1-2--19078

Roger A. Green.  "A Longitudinal Study of Student Performance in an Elective Applied Digital Signal Processing Course".  2013 ASEE Annual Conference & Exposition, Atlanta, Georgia, 2013, June.  ASEE Conferences, 2013.  https://strategy.asee.org/19078 Internet.  24 Apr, 2024

\bibitem{asee_peer_19078}
  Roger A. Green.
  "A Longitudinal Study of Student Performance in an Elective Applied Digital Signal Processing Course".
  \emph{2013 ASEE Annual Conference \& Exposition, Atlanta, Georgia, 2013, June}.
  ASEE Conferences, 2013.
  https://strategy.asee.org/19078 Internet.  24 Apr, 2024

@INPROCEEDINGS{asee_peer_19078
author = "Roger A. Green"
title = "A Longitudinal Study of Student Performance in an Elective Applied Digital Signal Processing Course"
booktitle = "2013 ASEE Annual Conference \& Exposition"
year = "2013"
month = "June"
address = "Atlanta, Georgia"
publisher = "ASEE Conferences"
note = {https://strategy.asee.org/19078}
number = {10.18260/1-2--19078}
}

TY  - CPAPER
AB  -                 A Longitudinal Study of Student Performance in an                 Elective Applied Digital Signal Processing CourseIn this paper, we describe multiple components of a longitudinal study of student performance inan elective applied digital signal processing course. First, we overview course organization andlearning objectives. Next, we present data and analysis on student performance. We assessstudent preparedness over the period from 2002 to 2012 using, as a course pretest, the discrete-time signals and systems concept inventory (DT SSCI) developed by Wage and Buck. Pretestperformance establishes a baseline for various student performance data, including hardware-based project grades over the same eleven-year period. Final exam performance data ispresented from 2006, the year the course adopted a standardized final exam that is similar instructure to the DT SSCI but custom designed for this particular course. Particular attention ispaid to the time period beginning in 2008, when students began field-testing a digital signalprocessing text coauthored by the course instructor. Since this is an elective course, we includeselect department-wide Fundamentals of Engineering (FE) exam data to provide an improvedcontext for course data and analysis. Data is interpreted through a combination of statisticalanalysis, student feedback, and instructor observations. Successes and difficulties in assessmentmethodology and process are discussed, including recommendations for improvement.
AU  - Roger A. Green
CY  - Atlanta, Georgia
DA  - 2013/06/23
PB  - ASEE Conferences
TI  - A Longitudinal Study of Student Performance in an Elective Applied Digital Signal Processing Course
UR  - https://strategy.asee.org/19078
DO  - 10.18260/1-2--19078
ER  -