Task Synthesis for Elementary Visual Programming in XLogoOnline Environment
May 03, 2024 Β· Declared Dead Β· π AIED Companion
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Authors
Chao Wen, Ahana Ghosh, Jacqueline Staub, Adish Singla
arXiv ID
2405.02173
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.CY
Citations
3
Venue
AIED Companion
Last Checked
4 months ago
Abstract
In recent years, the XLogoOnline programming platform has gained popularity among novice learners. It integrates the Logo programming language with visual programming, providing a visual interface for learning computing concepts. However, XLogoOnline offers only a limited set of tasks, which are inadequate for learners to master the computing concepts that require sufficient practice. To address this, we introduce XLogoSyn, a novel technique for synthesizing high-quality tasks for varying difficulty levels. Given a reference task, XLogoSyn can generate practice tasks at varying difficulty levels that cater to the varied needs and abilities of different learners. XLogoSyn achieves this by combining symbolic execution and constraint satisfaction techniques. Our expert study demonstrates the effectiveness of XLogoSyn. We have also deployed synthesized practice tasks into XLogoOnline, highlighting the educational benefits of these synthesized practice tasks.
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