Using Natural Language Processing Tools to Classify Student Responses to Open-Ended Engineering Problems in Large Classes

TY - JOUR

T1 - Using Natural Language Processing Tools to Classify Student Responses to Open-Ended Engineering Problems in Large Classes

AU - Verleger, Matthew A.

N1 - visit author page Matthew Verleger is Assistant Professor in Freshman Engineering at Embry-Riddle Aeronautical University. He has a BS in Computer Engineering, an MS in Agricultural & Biological Engineering, and a PhD in Engineering Education, all from Purdue University. Prior to joining the Embry-Riddle faculty, he spent two years as an Assistant Professor of Engineering Education at Utah State University.

PY - 2014/6/15

Y1 - 2014/6/15

UR - https://peer.asee.org/using-natural-language-processing-tools-to-classify-student-responses-to-open-ended-engineering-problems-in-large-classes

M3 - Article

JO - 2014 ASEE Annual Conference & Exposition

JF - 2014 ASEE Annual Conference & Exposition

ER -