Blogs (19) >>
Fri 17 Mar 2023 15:45 - 16:10 at 713 - Technology-Enabled Instruction Chair(s): Barbara Ericson

In this paper, we make three contributions related to the selection and use of distractors (lines of code reflecting common errors or misconceptions) in Parson’s problems. First, we demonstrate a process of by which templates for creating distractors can be selected through the analysis of student submissions to short answer questions. Second, we describe the creation of a tool that uses these templates to automatically generate distractors for novel problems. Third, we perform a preliminary analysis of how the presence of distractors impacts performance, problem solving efficiency, and item discrimination when used in summative assessment. Our results suggest that distractors should not be used in summative assessment because they significantly increase the problem’s completion time without a significant increase in problem discrimination.

Fri 17 Mar

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15:45 - 17:00
Technology-Enabled InstructionPapers at 713
Chair(s): Barbara Ericson University of Michigan
15:45
25m
Paper
Discovering, Autogenerating, and Evaluating Distractors for Python Parsons Problems in CS1In-Person
Papers
David Smith University of Illinois at Urbana-Champaign, Craig Zilles University of Illinois at Urbana-Champaign
DOI
16:10
25m
Paper
Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-BookIn-PersonGlobal
Papers
Stephen MacNeil Temple University, Andrew Tran Temple University, Arto Hellas Aalto University, Joanne Kim Temple University, Sami Sarsa Aalto University, Paul Denny The University of Auckland, Seth Bernstein Temple University, Juho Leinonen The University of Auckland
DOI
16:35
25m
Paper
FalconCode: A Multiyear Dataset of Python Code Samples from an Introductory Computer Science CourseIn-Person
Papers
Adrian de Freitas USAF Academy, Joel Coffman United States Air Force Academy, Michelle de Freitas Academy School District 20, Justin Wilson USAF Academy, Troy Weingart United Stated Air Force Academy Dept of Computer Science
DOI