Log-Data Clustering Analysis for Dropout Prediction in Beginner Programming Classes

Shinichi Oeda, Genki Hashimoto. Log-Data Clustering Analysis for Dropout Prediction in Beginner Programming Classes. In Cecilia Zanni-Merk, Claudia S. Frydman, Carlos Toro 0001, Yulia Hicks, Robert J. Howlett, Lakhmi C. Jain, editors, Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference KES-2017, Marseille, France, 6-8 September 2017. Volume 112 of Procedia Computer Science, pages 614-621, Elsevier, 2017. [doi]

@inproceedings{OedaH17,
  title = {Log-Data Clustering Analysis for Dropout Prediction in Beginner Programming Classes},
  author = {Shinichi Oeda and Genki Hashimoto},
  year = {2017},
  doi = {10.1016/j.procs.2017.08.088},
  url = {https://doi.org/10.1016/j.procs.2017.08.088},
  researchr = {https://researchr.org/publication/OedaH17},
  cites = {0},
  citedby = {0},
  pages = {614-621},
  booktitle = {Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference KES-2017,  Marseille, France, 6-8 September 2017},
  editor = {Cecilia Zanni-Merk and Claudia S. Frydman and Carlos Toro 0001 and Yulia Hicks and Robert J. Howlett and Lakhmi C. Jain},
  volume = {112},
  series = {Procedia Computer Science},
  publisher = {Elsevier},
}