Algorithm recognition for programming tutoring based on flow graph parsing

作者:Seokwon Kim, Jin Hyung Kim

摘要

Plan-recognition with template matching shows reasonable performance for recognizing general control structures. However, problems containing well-defined algorithms such as sorting and searching are difficult to recognize by the template-based methodology alone, because an algorithm is often highly optimized and therefore hard to divide into smaller meaningful units. Based on this observation, we propose an algorithm recognition methodology to augment the plan-recognition approach.

论文关键词:intelligent tutoring systems, automated program understanding, programming tutoring

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论文官网地址:https://doi.org/10.1007/BF00117815