Scale-Driven Automatic Hint Generation for Coding Style

被引:26
作者
Choudhury, Rohan Roy [1 ]
Yin, Hezheng [1 ]
Fox, Armando [1 ]
机构
[1] Univ Calif Berkeley, Berkeley, CA 94720 USA
来源
INTELLIGENT TUTORING SYSTEMS, ITS 2016 | 2016年 / 9684卷
关键词
Coding style; Autograding; Automatic hint generation; MOOCs;
D O I
10.1007/978-3-319-39583-8_12
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
While the use of autograders for code correctness is widespread, less effort has focused on automating feedback for good programming style: the tasteful use of language features and idioms to produce code that is not only correct, but also concise, elegant, and revealing of design intent. We present a system that can provide real-time actionable code style feedback to students in large introductory computer science classes. We demonstrate that in a randomized controlled trial, 70% of students using our system achieved the best style solution to a coding problem in less than an hour, while only 13% of students in the control group achieved the same. Students using our system also showed a statistically-significant greater improvement in code style than students in the control group.
引用
收藏
页码:122 / 132
页数:11
相关论文
共 22 条
[1]  
[Anonymous], CHANGEE FAC CHALL AS
[2]  
[Anonymous], SIGCHI C HUM FACT CO
[3]  
[Anonymous], 1977, LINT C PROGRAM CHECK
[4]  
[Anonymous], 2015, P 2 2015 ACM C LEARN
[5]  
[Anonymous], INT C ART INT ED AIE
[6]  
[Anonymous], 23 INT C WORLD WID W
[7]  
[Anonymous], 2 ACM C LEARN SCAL V
[8]  
[Anonymous], 1 ACM C LEARN SCAL A
[9]  
[Anonymous], 2 ACM C LEARN SCAL V
[10]   THE ROLE OF DELIBERATE PRACTICE IN THE ACQUISITION OF EXPERT PERFORMANCE [J].
ERICSSON, KA ;
KRAMPE, RT ;
TESCHROMER, C .
PSYCHOLOGICAL REVIEW, 1993, 100 (03) :363-406