%0	Journal Article
%A	Coffrin, Carleton
%A	Hentenryck, Pascal Van
%C	Barcelona, Spain
%D	2014
%E	Ullmo, Pierre-Antoine
%E	Koskinen, Tapio
%I	elearningeuropa.info
%J	eLearning Papers
%K	problem solving skills
%K	MOOC
%K	discovery-based learning
%K	computer science education
%O	Issue No.37 Experiences and best practices in and around MOOCs
%P	51-56
%T	The discrete optimization MOOC: An exploration in discovery-based learning
%U	http://openeducationeuropa.eu/en/article/The-Discrete-Optimization-MOOC%3A-An-Exploration-in-Discovery-Based-Learning?paper=136477
%V	37
%X	The practice of discrete optimization involves modeling and solving complex problems which have never been encountered before and for which no universal computational paradigm exists. Teaching such skills is challenging: students must learn not only the core technical skills, but also an ability to think creatively in order to select and adapt a paradigm to solve the problem at hand.
This paper explores the question of whether the teaching of such creative skills translates to Massive Open Online Courses (MOOCs). It first describes a discovery-based learning methodology for teaching discrete optimization, which has been successful in the classroom for over fifteen years. It then evaluates the success of a MOOC version of the class via data analytics enabled by the wealth of information produced in the MOOC.
%8	03/2014
%@	1887-1542
%(	EMOOCS 2014 conference
%*	yes
%>	https://www.oerknowledgecloud.org/archive/From-field_37_2.pdf