Not all Active Learning is Equal: Predicting and Explaining Improves Transfer Relative to Answering Practice Questions

Paulo F. Carvalho, Kody Manke, Ken Koedinger. Not all Active Learning is Equal: Predicting and Explaining Improves Transfer Relative to Answering Practice Questions. In Chuck Kalish, Martina A. Rau, Xiaojin (Jerry) Zhu, Timothy T. Rogers, editors, Proceedings of the 40th Annual Meeting of the Cognitive Science Society, CogSci 2018, Madison, WI, USA, July 25-28, 2018. cognitivesciencesociety.org, 2018. [doi]

@inproceedings{CarvalhoMK18,
  title = {Not all Active Learning is Equal: Predicting and Explaining Improves Transfer Relative to Answering Practice Questions},
  author = {Paulo F. Carvalho and Kody Manke and Ken Koedinger},
  year = {2018},
  url = {https://mindmodeling.org/cogsci2018/papers/0284/index.html},
  researchr = {https://researchr.org/publication/CarvalhoMK18},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the 40th Annual Meeting of the Cognitive Science Society, CogSci 2018, Madison, WI, USA, July 25-28, 2018},
  editor = {Chuck Kalish and Martina A. Rau and Xiaojin (Jerry) Zhu and Timothy T. Rogers},
  publisher = {cognitivesciencesociety.org},
  isbn = {978-0-9911967-8-4},
}