Uncovering Gender and Problem Difficulty Effects in Learning with an Educational Game

Bruce M. McLaren, Rosta Farzan, Deanne Adams, Richard E. Mayer, Jodi Forlizzi. Uncovering Gender and Problem Difficulty Effects in Learning with an Educational Game. In Elisabeth André, Ryan S. Baker, Xiangen Hu, Ma. Mercedes T. Rodrigo, Benedict du Boulay, editors, Artificial Intelligence in Education - 18th International Conference, AIED 2017, Wuhan, China, June 28 - July 1, 2017, Proceedings. Volume 10331 of Lecture Notes in Computer Science, pages 540-543, Springer, 2017. [doi]

@inproceedings{McLarenFAMF17,
  title = {Uncovering Gender and Problem Difficulty Effects in Learning with an Educational Game},
  author = {Bruce M. McLaren and Rosta Farzan and Deanne Adams and Richard E. Mayer and Jodi Forlizzi},
  year = {2017},
  doi = {10.1007/978-3-319-61425-0_59},
  url = {https://doi.org/10.1007/978-3-319-61425-0_59},
  researchr = {https://researchr.org/publication/McLarenFAMF17},
  cites = {0},
  citedby = {0},
  pages = {540-543},
  booktitle = {Artificial Intelligence in Education - 18th International Conference, AIED 2017, Wuhan, China, June 28 - July 1, 2017, Proceedings},
  editor = {Elisabeth André and Ryan S. Baker and Xiangen Hu and Ma. Mercedes T. Rodrigo and Benedict du Boulay},
  volume = {10331},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-61425-0},
}