Extraction of Relevant Terms and Learning Outcomes from Online Courses

Isabel Guitart, Jordi Conesa, David Baneres, Joaquim Moré, Jordi Duran, David Gañan, International Journal of Emerging Technologies in Learning (IJET), Oct 29, 2016
Commentary by Stephen Downes
files/images/Course_builder_UML.JPG

This approach is a natural, and something I would have liked to have seen in LPSS. The project described "applies natural language processing(NLP) techniques to analyze the course’s materials and  discover what concepts are taught, their relevancy in the course and their alignment with the learning outcomes of the course." You would use this eventually to assemble relevant resources from a repository network in order to build a course on the fly, based on competency information or needs assessments. This is a good core reference for projects intending to develop such systems.

Views: 1 today, 233 total (since January 1, 2017).[Direct Link]