Automatic recognition of misconceptions in visual algorithm simulation exercises

Visual algorithm simulation (VAS) is an activity in which students practice their understanding of algorithms: They simulate the steps of an algorithm by manipulating a bespoke visualization within a supporting software system. Multiple instances of a VAS exercise may be automatically generated for...

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Bibliographic Details
Published in:Frontiers in Education 2015 : launching a new vision in engineering education : proceedings : October 21-24, 2015, Camino Real Hotel & Conference Center, El Paso, Texas pp. 1 - 5
Main Authors: Korhonen, Ari, Seppala, Otto, Sorva, Juha
Format: Conference Proceeding Journal Article
Language:English
Published: IEEE 01.10.2015
Subjects:
algorithm visualization
Algorithms
automatic assessment
Computational modeling
Computer programs
Computer simulation
computing education
Conferences
Context
Data structures
Data visualization
Education
feedback
individualized instances of exercises
input generation
misconceptions
process-simulation practice
Software algorithms
Strategy
Students
Visual
visual algorithm simulation
Visualization
ISBN:9781479984541, 147998454X
Online Access:Get full text
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Summary:Visual algorithm simulation (VAS) is an activity in which students practice their understanding of algorithms: They simulate the steps of an algorithm by manipulating a bespoke visualization within a supporting software system. Multiple instances of a VAS exercise may be automatically generated for different learners or for repetitive practice by a single learner. In this work-in-progress report, we discuss how misconceptions might be automatically detected in students' solutions to VAS exercises and how misconception-aware feedback might be provided in VAS. We identify two strategies for producing multiple instances of VAS exercises and evaluate them against several criteria. The tradeoffs so identified are also pertinent for similar process-simulation practice beyond VAS and computing education.
Bibliography:ObjectType-Article-2
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SourceType-Conference Papers & Proceedings-2
ISBN:9781479984541
147998454X
DOI:10.1109/FIE.2015.7344046