Do algorithm animations assist learning?: an empirical study and analysis
INTERCHI '93 Proceedings of the INTERCHI '93 conference on Human factors in computing systems
Empirical studies of the value of algorithm animation in algorithm understanding
Empirical studies of the value of algorithm animation in algorithm understanding
Visual representations for recursion
International Journal of Human-Computer Studies
A survey of user-centered design practice
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Test Driven Development: By Example
Test Driven Development: By Example
Toward effective algorithm visualization artifacts: designing for participation and communication in an undergraduate algorithms course
Crowdsourcing user studies with Mechanical Turk
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Categorical data analysis using the sas® system, 2nd edition
Categorical data analysis using the sas® system, 2nd edition
Mental Models, Visual Reasoning and Interaction in Information Visualization: A Top-down Perspective
IEEE Transactions on Visualization and Computer Graphics
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The reversal error-reversing the relationship between two variables in a mathematical word problem-is a long-standing issue in mathematics education, despite its apparent simplicity. In this paper, we describe and study POETIC, an interactive web-based environment we developed to teach users to avoid the reversal error. POETIC uses two types of novel interactive visualization, called the Test-Case and Room-Metaphor approaches. To verify the effectiveness of these approaches, we conducted crowdsourcing-based comparison studies with 200 participants and found that both approaches significantly decreased the frequency of reversal errors for certain types of word problems. Our results show that interactive visualization of equations can reduce the occurrence of the reversal error.