Coursera Personalized Recommendations

This extension un-obstrusively collects data for the Coursera Ontology Based personalized recommendation system.

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.

Q) Will this extension impact my browsing experience in any way? A) No. This is a very lightweight application, which will work well, even on a very resource-constrained machine. The app doesn't contain any intrusive pop-ups or ads or something similar.

Q) Will you collect any data other than mentioned above? A) No, the data collection is strictly restricted to Coursera only, as described above.

Q) How will you keep my data safe? Will you sell my data to someone else? A) The backend of this application is entirely hosted on servers managed by Google, which are among the safest places where your data could be. There is always end-to-end encryption during transmission to uphold the highest levels of privacy. We are collecting data strictly for the Coursera Ontology-Based Recommendation System, and we don't have any commercial intentions, so the question of selling your data doesn't arise at all.

Q) Do you have permission to collect this data? A) Primarily, we are authorized by the college to collect this data. But more importantly, you are the owner of your data, and we only need your permission to collect your data.

Q) When will the research project be over, and what are the expected results? A) While there is no specific deadline, we are aiming for a completion date of April 2020. The final product will give never seen before usage-based personalized in-course recommendations for the Coursera platform.

Right now, this extension only collects user data. But, as time progress, we will slowly start rolling out recommendations through this extension.

If you have any other questions, please feel free to drop an mail to the authors.

Manifest V2 Add-on
By:
Abhinav Agarwal
Users:
43 9
Version:
1.2 Last updated: 2020-03-03
Creation date:
2020-03-03
Risk:
Moderate risk impact Moderate risk likelihood
Permissions:
  • https://custom-manifest-256315.appspot.com/*
Size:
57.99KB
Full description:
See detailed description
Source:
Edge Add-on Store
Updated:
a day ago

Extension safety

Risk impact
Risk impact measures the level of extra permissions an extension has access to. A low risk impact extension cannot do much harms, whereas a high risk impact extension can do a lot of damage like stealing your password, bypassing your security settings, and accessing your personal data. High risk impact extensions are not necessarily malicious. However, if they do turn malicious, they can be very harmful.

Coursera Personalized Recommendations requires a few sensitive permissions. Exercise caution before installing.

Risk impact analysis details
  • High Injects scripts into web pages, which may alter or extract site contents, resulting in a substantial risk.
  • Medium ******* ****** ** *** ********* ******** ********************
Risk likelihood
Risk likelihood measures the probability that an Edge add-on may turn malicious. This is determined by the publisher and the Edge add-on reputation on Edge Add-on Store, the amount of time the Edge add-on has been around, and other signals about the Edge add-on. Our algorithms are not perfect, and are subject to change as we discover new ways to detect malicious extensions. We recommend that you always exercise caution when installing an Edge add-on.

Coursera Personalized Recommendations is probably trust-worthy. Prefer other publishers if available. Exercise caution when installing this add-on.

Risk likelihood analysis details
  • High This extension has low user count. Unpopular extensions may not be stable or safe.
  • Low **** ********* *** ******* **** **** * ****** **** ***** ******** *** **** ****** ** ** ****** *** *****
  • Low **** ********* *** ***** **** **** * ****** **** ***** ********** *** **** ****** ** ** ****** *** *****
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