Predicting Early and Often: Predictive Student Modeling for Block-Based Programming Environments

Andrew Emerson, Andy Smith, Cody Smith, Fernando J. Rodríguez, Wookhee Min, Eric N. Wiebe, Bradford W. Mott, Kristy Elizabeth Boyer, James C. Lester. Predicting Early and Often: Predictive Student Modeling for Block-Based Programming Environments. In Michel C. Desmarais, Collin F. Lynch, Agathe Merceron, Roger Nkambou, editors, Proceedings of the 12th International Conference on Educational Data Mining, EDM 2019, Montréal, Canada, July 2-5, 2019. International Educational Data Mining Society (IEDMS), 2019. [doi]

@inproceedings{EmersonSSRMWMBL19,
  title = {Predicting Early and Often: Predictive Student Modeling for Block-Based Programming Environments},
  author = {Andrew Emerson and Andy Smith and Cody Smith and Fernando J. Rodríguez and Wookhee Min and Eric N. Wiebe and Bradford W. Mott and Kristy Elizabeth Boyer and James C. Lester},
  year = {2019},
  url = {https://drive.google.com/file/d/1KKFda8g1g1F8Q5iT07fT5fLZPoxRsWYW},
  researchr = {https://researchr.org/publication/EmersonSSRMWMBL19},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the 12th International Conference on Educational Data Mining, EDM 2019, Montréal, Canada, July 2-5, 2019},
  editor = {Michel C. Desmarais and Collin F. Lynch and Agathe Merceron and Roger Nkambou},
  publisher = {International Educational Data Mining Society (IEDMS)},
}