Artificial Neural Networks in Mathematical Mini-Games for Automatic Students' Learning Styles Identification: A First Approach

Richard Torres-Molina, Jorge Banda-Almeida, Lorena Guachi-Guachi. Artificial Neural Networks in Mathematical Mini-Games for Automatic Students' Learning Styles Identification: A First Approach. In Hujun Yin, David Camacho, Peter Tiño, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, Richard Allmendinger, editors, Intelligent Data Engineering and Automated Learning - IDEAL 2019 - 20th International Conference, Manchester, UK, November 14-16, 2019, Proceedings, Part II. Volume 11872 of Lecture Notes in Computer Science, pages 53-60, Springer, 2019. [doi]

@inproceedings{Torres-MolinaBG19,
  title = {Artificial Neural Networks in Mathematical Mini-Games for Automatic Students' Learning Styles Identification: A First Approach},
  author = {Richard Torres-Molina and Jorge Banda-Almeida and Lorena Guachi-Guachi},
  year = {2019},
  doi = {10.1007/978-3-030-33617-2_6},
  url = {https://doi.org/10.1007/978-3-030-33617-2_6},
  researchr = {https://researchr.org/publication/Torres-MolinaBG19},
  cites = {0},
  citedby = {0},
  pages = {53-60},
  booktitle = {Intelligent Data Engineering and Automated Learning - IDEAL 2019 - 20th International Conference, Manchester, UK, November 14-16, 2019, Proceedings, Part II},
  editor = {Hujun Yin and David Camacho and Peter Tiño and Antonio J. Tallón-Ballesteros and Ronaldo Menezes and Richard Allmendinger},
  volume = {11872},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-33617-2},
}