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Computing That Serves

I'm Stuck! Classifying the Questions that Students Ask

Date: 

Thursday, February 12, 2015 - 11:00am

Speaker: 

Cecily Heiner

Host: 

Daniel Zappala and Kent Seamons

Colloquium presented by Cecily Heiner, Assistant Professor at Southern Utah University
Thursday, February 12, 2015 at 11:00 AM
Location: 1170 TMCB
 

Abstract

Information retrieval often depends on users providing keywords to access information.  However, many information seekers are novices, and often novices do not know the keywords to access the information they desire.  In this talk, I will describe two technical approaches to answering the questions of novice programmers.   One approach utilizes context and temporal locality.   The other approach mines a large dataset to find similar previous problems and learn from user-corrections.  I will also discuss educational research on vocabulary and instruction, and suggest how we might leverage that work to increase student learning and retention in early computer science classes.

Biography: 

Cecily Heiner is an assistant professor of computer science at Southern Utah University. Her research interests include intelligent tutoring, natural language processing, machine learning, and educational data mining. She holds a secondary teaching license with endorsements in several areas relating to computing. Her hobbies include traveling, cooking, and learning to play the organ.




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