A Comparison of the Quality of Data-Driven Programming Hint Generation Algorithms
A Comparison of the Quality of Data-Driven Programming Hint Generation Algorithms
T. Price,Yihuan Dong,4 Authors,Tiffany Barnes
2019 · DOI: 10.1007/s40593-019-00177-z
International Journal of Artificial Intelligence in Education · 51 Citations
TLDR
This work presents the QualityScore procedure, a novel method for automatically evaluating and comparing the quality of next-step programming hints using expert ratings, and demonstrates that the automated QualityScore ratings agree with experts’ manual ratings.