Improved Analytics Critical to the Personalization of Online Learning

[In this article from EvoLLLution Michael Horn, the Co-founder and Executive Director of the Clayton Christensen Institute for Disruptive Innovation, shares his insights into how tools, like Knewton, are opening the door for personalizing learning.]

July 31, 2015

Improved data collection and analysis is critical to the expansion of personalized learning in higher education, which itself is central to the move towards a more hybrid and online postsecondary environment.

Improved data collection and analysis is critical to the expansion of personalized learning in higher education, which itself is central to the move towards a more hybrid and online post-secondary environment.

The evolution of technology and technological tools over recent years has positively impacted the effectiveness of online learning, which has transformed into a highly engaging, highly integrated platform for students to pursue post-secondary credentials with maximum flexibility. Of course, as with any technology, there is still room for improvement and growth. Online learning has the space to become even more personalized. In this interview, Michael Horn discusses the current state of personalization in the online learning space and shares his thoughts on what the future might hold for online education.

Click here to read key takeaways.

The EvoLLLution (Evo): How truly personalized is online programming today?

Michael Horn (MH): Online learning today is personalized in the sense that it starts to give students control over the pace of their learning and the time when it occurs. It can offer much more flexibility given the asynchronous technologies.

Where there is still a lack of personalization is in the different pathways that students take towards mastery. Certain programs are certainly addressing this and we’re seeing adaptive learning engines like Knewton appear to do some exciting things to better target and personalize for different students. It still feels like we’re really in the early beginnings of the dramatic revolution that we’ve seen in a lot of other technology sectors where really smart recommendation engines come in and assist the student in picking and choosing their unique path.

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