How should we incentivize learning? An optimal feedback mechanism for educational games and online courses
L. Xu, M. Wirzberger, and F. Lieder. 41st Annual Meeting of the Cognitive Science Society, page 3136--3142. Montreal, QB, Cognitive Science Society, (2019)
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%0 Conference Paper
%1 Xu2019CogSci
%A Xu, Lin
%A Wirzberger, Maria
%A Lieder, Falk
%B 41st Annual Meeting of the Cognitive Science Society
%C Montreal, QB
%D 2019
%I Cognitive Science Society
%K education feedback gamification learning myown
%P 3136--3142
%T How should we incentivize learning? An optimal feedback mechanism for educational games and online courses
@inproceedings{Xu2019CogSci,
added-at = {2020-03-20T16:22:37.000+0100},
address = {Montreal, QB},
author = {Xu, Lin and Wirzberger, Maria and Lieder, Falk},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2f2b1e7b1c720f1a77c0d68edfe365e60/mariawirzberger},
booktitle = {41st Annual Meeting of the Cognitive Science Society},
interhash = {60b8503e4b2bcc76229db4ef8022ec52},
intrahash = {f2b1e7b1c720f1a77c0d68edfe365e60},
keywords = {education feedback gamification learning myown},
pages = {3136--3142},
publisher = {Cognitive Science Society},
timestamp = {2020-03-20T15:23:48.000+0100},
title = {How should we incentivize learning? An optimal feedback mechanism for educational games and online courses},
year = 2019
}
