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Thursday, May 31 • 10:00am - 10:35am
What can be learned from Natural Language Processing of MOOCs?

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Using Natural Language Processing (NLP) and a newly developed webcrawer, we analyzed 75 of edX's most popular MOOCs. The crawling tool extracted course's textual data from readings (html), video transcripts and assessments available in the Open edX learning management system (LMS). Secondly, through statistical analysis we discovered interesting patterns from the course materials. Finally, we perform text readability assessment based on word embeddings and compare the courses using clustering.


Nopphon Keerativoranan

Student, Tokyo Tech

Naoaki Okazaki

Tokyo Tech

Zarina Rakhimberdina

student, Tokyo Tech

Thursday May 31, 2018 10:00am - 10:35am EDT
L’Oréal Room, Decelles Building, HEC Montreal 5255 Avenue Decelles, Montréal, QC H3T 2B1, Canada