Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/21502
Appears in Collections:Faculty of Social Sciences Working Papers
Peer Review Status: Unrefereed
Title: Computing brains: neuroscience, machine intelligence and big data in the cognitive classroom
Authors: Williamson, Ben
Contact Email: ben.williamson@stir.ac.uk
Citation: Williamson B (2014) Computing brains: neuroscience, machine intelligence and big data in the cognitive classroom. DMLcentral.net.
Keywords: neuroscience
big data
machine intelligence
education
Artificial Intelligence
Computers
Technology
Issue Date: 8-Dec-2014
Publisher: DMLcentral.net
Abstract: The human brain has become a major topic in education. The field of educational neuroscience, or neuroeducation, is flourishing. At the same time, a number of initiatives based in computer science departments and major technology companies are also taking the brain seriously. Computer scientists talk of developing new brain-inspired cognitive learning systems, or of developing new theoretical and computational understandings of the brain in order to then build new and more effective forms of machine intelligence. The important aspect of these synchronous developments in neuroscience and brain-based systems is that they are beginning to come together in particular technological developments and products targeted specifically at schools.
Type: Working or Discussion Paper
URI: http://hdl.handle.net/1893/21502
URL: http://dmlcentral.net/blog/ben-williamson/computing-brains-neuroscience-machine-intelligence-and-big-data-cognitive-classr
Rights: Author retains copyright.
Affiliation: Initial Teacher Education

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