A Data-Driven Method for Helping Teachers Improve Feedback in Computer Programming Automated Tutors

Jessica McBroom, Kalina Yacef, Irena Koprinska, James R. Curran. A Data-Driven Method for Helping Teachers Improve Feedback in Computer Programming Automated Tutors. In Carolyn Penstein Rosé, Roberto Martínez Maldonado, Heinz Ulrich Hoppe, Rose Luckin, Manolis Mavrikis, Kaska Porayska-Pomsta, Bruce M. McLaren, Benedict du Boulay, editors, Artificial Intelligence in Education - 19th International Conference, AIED 2018, London, UK, June 27-30, 2018, Proceedings, Part I. Volume 10947 of Lecture Notes in Computer Science, pages 324-337, Springer, 2018. [doi]

@inproceedings{McBroomYKC18,
  title = {A Data-Driven Method for Helping Teachers Improve Feedback in Computer Programming Automated Tutors},
  author = {Jessica McBroom and Kalina Yacef and Irena Koprinska and James R. Curran},
  year = {2018},
  doi = {10.1007/978-3-319-93843-1_24},
  url = {https://doi.org/10.1007/978-3-319-93843-1_24},
  researchr = {https://researchr.org/publication/McBroomYKC18},
  cites = {0},
  citedby = {0},
  pages = {324-337},
  booktitle = {Artificial Intelligence in Education - 19th International Conference, AIED 2018, London, UK, June 27-30, 2018, Proceedings, Part I},
  editor = {Carolyn Penstein Rosé and Roberto Martínez Maldonado and Heinz Ulrich Hoppe and Rose Luckin and Manolis Mavrikis and Kaska Porayska-Pomsta and Bruce M. McLaren and Benedict du Boulay},
  volume = {10947},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-93843-1},
}