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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.

Speakers
NK

Nopphon Keerativoranan

Student, Tokyo Tech
NO

Naoaki Okazaki

Tokyo Tech
ZR

Zarina Rakhimberdina

student, Tokyo Tech


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

Attendees (33)