Adaptive Learning
Artificial intelligence has enabled adaptive technology to predict behavior, infer meaning, reason with logic, make conclusions,solve problems, prove theorems, recognize patterns, interpret data, carry on conversations, simulate emotions, understand text, write stories, classify data, and learn without human intervention.
For more information, see A Short History of AI and A Very Short History of Artificial Intelligence (AI)
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Boosts engagement and strengthens the teacher-to-student connection.
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Transforms the role and impact of online homework.
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Gives educators insights and efficiencies to enhance the teaching experience, but it will never replace teachers.
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Should be informed by both the data science and human art of teaching.
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Ongoing research and collaboration in learning and brain science is needed to maximize its full potential.
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Can change the way educational content is authored – not just how it’s consumed in classrooms.
Six Insights on Adaptive Learning Technology in Education (McGraw Hill, 11/2016)
Drawbacks and Concerns
Quantitative Assessment
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Branching pathways
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Determine what the learner knows already and what they are ready to learn
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Adjust probability algorithm after each answer