Comments on: Recommender Systems for Online Education

By: sebastin

sebastin — Fri, 16 Apr 2010 12:22:19 +0000

Opportunity to Study
In short, taking classes online and earning your degree online is no different than taking classes in person, it

By: James

James — Sat, 20 Feb 2010 06:00:57 +0000

Thoughts that arise from the blending of original self-knowledge and other forms of consequent experiential knowledge provide the motives to take action to realize them in external tangible form. This is why the best of human thinking begins and ends with how to manifest one’s uniqueness in the world. When you realize the beautiful vision of your heart, of your true Self, you will rise to manifest the greatness of your dominant thoughts in all of your actions.

By: Joseph A. Konstan

Joseph A. Konstan — Tue, 06 Oct 2009 13:03:02 +0000

There have been a number of recommendation tools for learning (and specifically online learning), but mostly these are based on models of material mastery (deep user models) rather than data mining approaches such as collaborative filtering.
I think the biggest reasons why are:
(1) It is rarely the case in education that there are enough options at any point in an educational sequence. In theory, it would be nice to have 20 different ways to learn a unit a electromagnetism, and to pick the right ones based on your experience and the experiences of others, but this requires a lot of course modules.
(2) Education is a harder problem because of sequential dependencies. It is easy to recommend a book to someone without worrying (except in rare cases) that this book only makes sense before a certain other one, or after a certain other one. Education is more cumulative.