In code comprehension tasks, students may be asked to explain critical steps of the code. The ability to automatically assess these self-explanations offers a unique opportunity to understand the current state of student knowledge, recognize possible misconceptions, and provide feedback. Annotated datasets are needed to train Artificial Intelligence/Machine Learning approaches for the automated assessment of student explanations. To answer this need, we present a novel corpus called SelfCode which consists of 1,770 sentence pairs of student and expert self-explanations of JAVA code examples along with semantic similarity judgments provided by experts.
Data Set Example
Line of Code | Crowd Sourced Explanation | ExpertExplanation | Annotation Score |
---|---|---|---|
int [] arr = { 1, 2, 3}; | Declares the array we want to use for our assignment | We initialize the array of type int to hold the specified numbers. | 4 |
int num = 15; | variable decleration: declares the number we are trying to divide | We could initialize it to any positive integer greater than 1. | 1 |
divisor += 1; | if the loop condition is true, then we increment the divisor by 1 | When the divisor is not a factor of the number, we increment the variable divisor by 1. | 3 |
int seconds = scan.nextInt(); | Get the number entered by the user. | We read the seconds by calling the nextInt() method because this input is an integer. | 2 |
System.out.println("Enter an integer: "); | Ask the user to enter an integer. | We prompt the user to enter an integer. | 5 |
Data Set Stats
Annotation Label | No. of sentence pairs |
---|---|
1 | 529 |
2 | 507 |
3 | 419 |
4 | 253 |
5 | 62 |
Cite Our Work
If you use the SelfCode data set, please cite our publication:
@article{Chapagain_Risha_Banjade_Oli_Tamang_Brusilovsky_RUs,
title = {SelfCode: An Annotated Corpus and a Model for Automated Assessment of Self-Explanation During Source Code Comprehension},
volume = {36},
url = {https://journals.flvc.org/FLAIRS/article/view/133385},
number = {1},
journal = {The International FLAIRS Conference Proceedings},
author = {Chapagain, Jeevan and Risha, Zak and Banjade, Rabin and Oli, Priti and Tamang, Lasang and Brusilovsky, Peter and Rus, Vasile}
}