@article { title = {The discrete optimization MOOC: An exploration in discovery-based learning}, year = {2014}, month = {03/2014}, author = {Coffrin, Carleton and Hentenryck, Pascal Van}, editor = {Ullmo, Pierre-Antoine and Koskinen, Tapio}, keywords = {problem solving skills, MOOC, discovery-based learning, computer science education}, country = {Spain}, address = {Barcelona}, journal = {eLearning Papers}, publisher = {elearningeuropa.info}, volume = {37}, issue = {March 2014}, pages = {51-56}, issn = {1887-1542}, abstract = {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.}, refereed = {yes}, url = {http://openeducationeuropa.eu/en/article/The-Discrete-Optimization-MOOC%3A-An-Exploration-in-Discovery-Based-Learning?paper=136477}, attachments = {From-field_37_2.pdf}, }