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Automatically Linking Digital Signal Processing Assessment Questions to Key Engineering Learning Outcomes

Abstract: 

To deliver on the potential outcome-based teaching and learning holds for engineering education, it is important for engineering courses to provide students with different types of deliberate practice opportunities that align to the program’s learning outcomes. Working from these requirements, we increased the design and measurement intentionality of a digital signal processing (DSP) course. To align the course’s learning outcomes more constructively with its assessment measures, we automated the process of classifying DSP questions according to learning outcomes by introducing a model that integrates topic modeling and machine learning. In this work, we explored the effect of pre-processing procedures in terms of stopword selection and word co-occurrence redundancy issue in question classification inferences. In this work, we proposed a customized variant of the Word Network Topic Model, q-WNTM, which is able to use its pre-classified DSP questions to reliably classify new questions according to the course’s learning outcomes.

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Paper Details

Authors:
Sivanagaraja Tatinati, Kevin Hartman, Andy W. H. Khong
Submitted On:
14 April 2018 - 4:40am
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
S. Supraja
Paper Code:
SS-L16.2
Document Year:
2018
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Document Files

supraja_icassp_version8_140418.pdf

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[1] Sivanagaraja Tatinati, Kevin Hartman, Andy W. H. Khong, "Automatically Linking Digital Signal Processing Assessment Questions to Key Engineering Learning Outcomes", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2813. Accessed: Dec. 10, 2018.
@article{2813-18,
url = {http://sigport.org/2813},
author = {Sivanagaraja Tatinati; Kevin Hartman; Andy W. H. Khong },
publisher = {IEEE SigPort},
title = {Automatically Linking Digital Signal Processing Assessment Questions to Key Engineering Learning Outcomes},
year = {2018} }
TY - EJOUR
T1 - Automatically Linking Digital Signal Processing Assessment Questions to Key Engineering Learning Outcomes
AU - Sivanagaraja Tatinati; Kevin Hartman; Andy W. H. Khong
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2813
ER -
Sivanagaraja Tatinati, Kevin Hartman, Andy W. H. Khong. (2018). Automatically Linking Digital Signal Processing Assessment Questions to Key Engineering Learning Outcomes. IEEE SigPort. http://sigport.org/2813
Sivanagaraja Tatinati, Kevin Hartman, Andy W. H. Khong, 2018. Automatically Linking Digital Signal Processing Assessment Questions to Key Engineering Learning Outcomes. Available at: http://sigport.org/2813.
Sivanagaraja Tatinati, Kevin Hartman, Andy W. H. Khong. (2018). "Automatically Linking Digital Signal Processing Assessment Questions to Key Engineering Learning Outcomes." Web.
1. Sivanagaraja Tatinati, Kevin Hartman, Andy W. H. Khong. Automatically Linking Digital Signal Processing Assessment Questions to Key Engineering Learning Outcomes [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2813