Intelligence Augmentation for Collaborative Learning

Show simple item record Roschelle, Jeremy 2021-07-27T15:51:39Z 2021-07-27T15:51:39Z 2021-07-27
dc.identifier.citation Roschelle J. (2021) Intelligence Augmentation for Collaborative Learning. In: Sottilare R.A., Schwarz J. (eds) Adaptive Instructional Systems. Design and Evaluation. HCII 2021. Lecture Notes in Computer Science, vol 12792. Springer, Cham. en_US
dc.description.abstract Today’s classrooms can be remarkably different from those of yesteryear. In place of individual students responding to the teacher from neat rows of desks, today’s innovative schools have students working in groups on projects, with a teacher circulating among groups. AI applications in learning have been slow to catch up; most available technologies are described as personalizing or adapting instruction to needs of individual learners. Meanwhile, an established science of Computer Supported Collaborative Learning has come to prominence, with clear implications for how collaborative learning can be supported. In this contribution, I consider how intelligence augmentation could evolve to support collaborative learning. A focus on AI role in automating, adding to awareness, assisting and augmenting is suggested, extending the field’s prior tendency to focus on assessing, assigning and adapting. en_US
dc.description.sponsorship This material is based upon work supported by the National Science Foundation under Grant No. 2021159 Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation en_US
dc.language.iso en_US en_US
dc.publisher Springer en_US
dc.subject collaborative learning, artificial intelligence, intelligence augmentation en_US
dc.title Intelligence Augmentation for Collaborative Learning en_US
dc.type Presentation en_US

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