willrichardson:
Sarah Garland:
The personalized learning that ed-tech pioneers are talking about now involves using data points like test scores, attendance and, perhaps someday, information about students gathered from games or their internet searches, to home [sic] in what students need academically. Maybe more high-tech systems and detailed data would have helped teachers recognize how far behind many students were on the path to graduation.
But would it have helped teachers figure out how to help a student deal with her rage issues so she could get over her frustrations in science class? Or how to keep a young student who was mocked for being gay at school and at home from losing hope and help him stay focused on his strengths? Or how to salvage the academic career of a student whose prospects once looked promising and who suddenly stopped caring about his future?
I still think more and more this is the value that we have to begin to articulate first. I’m becoming convinced that adaptive learning systems will flourish in this “let’s do better on the tests” moment. And while there is a great deal that troubles me about that, I think they have a role to play in learning. But not at the expense of people and places that focus on the more important mindsets that students need to develop to be real lifelong learners, and the challenges that kids need help overcoming to be ready to learn in the first place.
I feel like a lot of this is borne from the pervasive notion that personalized learning technology is being developed to replace an educator, which just isn’t the case from my perspective. I agree with what you’re both saying, and technology will never replace a teacher’s intuition or solve the personal challenges and issues a student is dealing with. But I do believe it’s a valuable tool in the learning process, especially as we begin to refocus learning to the process of developing and mastering specific skills.
Personalized learning technology won’t be able to identify a student’s struggle with an alcoholic parent, sleep deprivation or bullying, and it’s not supposed to. What it will be able to do, and more effectively over time, is identify the underlying academic struggles that are preventing them from mastering a skill or concept, and then deliver relevant interventions to help them get up to speed (all while keeping the instructor in the loop about their progress so they can also intervene in a way they think is best).
Most of these systems are underdeveloped because they’re still new. Even the Horizon Report (K-12 edition, Higher Ed edition) lists this as a technology that won’t begin to come into its own for the next 2-4 years. I think one of the interesting aspects, and Sarah alludes to this above, is what “data” will constitute an accurate representation of student learning. This is arguably the first time we’ve been able to collect this data on such a massive scale, and I think it’ll be interesting to watch as people try to pull some kind of meaning from it.
Thanks for the conversation this morning :-)