An automatic grading system for a high school-level computational thinking course

Author:

Tisha Sirazum Munira1,Oregon Rufino A.2,Baumgartner Gerald1,Alegre Fernando1,Moreno Juana1

Affiliation:

1. Louisiana State University

2. Texas A&M University

Publisher

ACM

Reference33 articles.

1. Introduction to Computational Thinking

2. Automatic program assessment using static and dynamic analysis

3. Vera Barstad Morten Goodwin and Terje Gjøsæter. 2014. Predicting source code quality with static analysis and machine learning. In Norsk IKT-konferanse for forskning og utdanning. Vera Barstad Morten Goodwin and Terje Gjøsæter. 2014. Predicting source code quality with static analysis and machine learning. In Norsk IKT-konferanse for forskning og utdanning.

4. Automatic Grading of Programming Exercises using Property-Based Testing

5. Guillaume Bouchard and Bill Triggs . 2004 . The tradeoff between generative and discriminative classifiers . In 16th IASC International Symposium on Computational Statistics (COMPSTAT'04) . 721--728. Guillaume Bouchard and Bill Triggs. 2004. The tradeoff between generative and discriminative classifiers. In 16th IASC International Symposium on Computational Statistics (COMPSTAT'04). 721--728.

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