Bugs as Features: Describing Patterns in Student Code through a Classification of Bugs

被引：0
|
作者：
Malysheva, Yana [1 ]
Kelleher, Caitlin [1 ]
机构：
[1] Washington Univ, St Louis, MO 63130 USA
来源：
CHI'20: EXTENDED ABSTRACTS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS | 2020年
关键词：
Code puzzles; parsons problems; novice programming; programming support; human-computer collaboration;
D O I：
10.1145/3334480.3383065
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Code puzzles can be an engaging way to learn programming concepts, but getting stuck in a puzzle can be discouraging when no help or feedback is available. Intelligent tutoring systems can provide automatic individualized help, but they rely on having a robust and useful representation of student state. One common challenge for Intelligent tutoring systems in the programming domain is a large state space of possible students states. We propose a constrained set of features of student code based on detecting and classifying the bugs present in the code.
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页数：7
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