Automating learning and measuring social learning, with Ben Betts - No 55 - podcast episode cover

Automating learning and measuring social learning, with Ben Betts - No 55

Feb 24, 201925 minEp 55Transcript available on Metacast
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Episode description

Ben Betts from HT2 Labs is back on the podcast in this interview. Ben is passionate about using social learning to build high-impact learning experiences. HT2 Labs are also the people behind Learning Locker, which is an open source learning record store for xAPI data.

At the Learning While Working conference, Ben talked about the work that HT2 Labs have been doing on how they are measuring social learning. The recording of that conference session goes into more depth on that work than this podcast does, so if you’re interested in what Ben is doing I encourage you to watch that recording.

The work HT2 Labs is doing is built around a series of machine learning methods that are called ‘natural language processing’, which I think of as a series of methods that look for patterns in language. It’s maybe the most complex area of machine learning.

The podcast starts by exploring data, AI, and automation in L&D, then moves into using natural language processing and measuring social learning data.

To go along with the podcast series we have released an eBook with all transcripts of the interviews. To go along with the podcast series on How artificial intelligence is changing the way L&D is working, we have released an eBook with all transcripts of the interviews. The eBook also gives a brief explanation of what AI is and an overview of how it is being used in L&D.

Download the eBook

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