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A Method for User Engagement and Intellectual Ability based Dynamic Content Advicing in MOOCs Disclosure Number: IPCOM000245197D
Publication Date: 2016-Feb-18
Document File: 3 page(s) / 32K

Publishing Venue

The Prior Art Database


Disclosed is a method to provide automatic and context-specific content advising in MOOCs based on the engagement and intellectual level of the participants. Challenges associated are: i. How to automatically assess the level of engagement of the participants in MOOCs? ii. How to classify the participants as quick learners or slow learners? iii. How to generate complementary content of interest to the user based on the engagement and intellectual ability?

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A Method for User Engagement and Intellectual Ability based Dynamic Content Advicing in MOOCs

Massive Open Online Courses (MOOCs) provide online courses that enable open access and unlimited participation through Web
A few popular examples of MOOCs are Coursera, edX, Stanford Online, etc. MOOCs provide access to the contents such as Videos, presentation slides on the different topics relevant to the course and the participants are expected to follow and read those materials
Often participants of the course come from different backgrounds and have different level of intellectual understanding and different subject interests
For instance, while watching a video on "Foundations of Shapley Value" in a Game Theory MOOC, some participants would quickly understand the notion and it may take more time for some others to understand the same (INTELLECTURAL ABILITY ASSESSMENT)

Also, some participants would actively participate in the discussion forums and email threads of the MOOC and accordingly get more reward points and incentives; whereas some other participants would not actively participate (ENGAGEMENT ASSESSMENT)

Based on the intellectual ability and the engagement level of the participants, it would be interesting to suggest relevant contents on the same topic in real time:

For the quick learners, we can recommend more advanced materials in the form of videos and articles
For the slow learners, we can recommend other relevant foundational materials in the form of videos and articles

Solution Approach - Step 1 (Intellectual Ability and Engagement Assessment of Users)

A personal app could be employed that takes inputs such as

User's activity on the Discussion forums of the MOOC

User's activity on the Email threads of the MOOC

Frequency with which the User access the contents of the MOOC such as Videos and other articles,

Amount of time spent by the user watching a video or reading an article relevant to the MOOC,

Number of times the user goes back and forth as well as pauses while watching a video or an article, etc.

Hooks to other Apps such as Browsers and Collaboration Apps and monitoring for the relevant topics and adding to user's activity

Frequency of searches related to MOOC,

Number of Cliques on the relevant materials, etc.

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