Coursera Personalized Recommendations - Edge Add-On
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Add-on summary
Coursera Ontology-Based Personalized recommendation system is a research project being undertaken by Abhinav Agarwal and Divyansh Mishra, two students of ICT Department at MIT Manipal, under the supervision of Dr. Sucheta Kolekar.
The course completion rates on the Coursera platform are currently less than 10% of all the enrolled students. We are working to provide targeted and personalized recommendations to Coursera users, which would enable learners to complete a higher number of courses.
As you can already guess, for achieving this goal, we need some data regarding the way you and other users learn from the Coursera platform. This extension has been developed to facilitate willing students and other users of Coursera to share their data with the above authors for the speedy progress of the research project. Please find below some of the FAQs regarding data collection that you may have. For any more questions, always feel free to drop an mail to the authors.
This extension is primarily intended for students at MIT Manipal.
Q) What information will you collect? A) This extension will not collect any personally identifiable information. We only collect SHA 256 hashes of your name and user id (making you totally anonymous for us). Other than that, various content usage data of Coursera, such as the videos watched or quiz scores or participation in discussion form, etc. will be recorded.
Q) What do I need to start sharing my data? A) Just install the extension and forget :). The extension will collect all the information unobtrusively, on its own. The extension primarily scrapes the Coursera website for your data. By installing this extension, you are allowing us to collect your data.
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Risk impact
Coursera Personalized Recommendations requires a few sensitive permissions. Exercise caution before installing.
Risk likelihood
Coursera Personalized Recommendations has earned a fairly good reputation and likely can be trusted.