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Automating Learning And Measuring Social Learning With Ben Betts - No. 55

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Manage episode 227926708 series 1291918
Contenu fourni par Learning While Working Podcast and Sprout Labs. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Learning While Working Podcast and Sprout Labs ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
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.
  continue reading

10 episodes

Artwork
iconPartager
 
Manage episode 227926708 series 1291918
Contenu fourni par Learning While Working Podcast and Sprout Labs. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Learning While Working Podcast and Sprout Labs ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
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.
  continue reading

10 episodes

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