Learning-Machine Discourses

Focus

Using machines to model, mimic, and extend human learning and knowledge

Principal Metaphors

  • Knowledge is … ever-evolving repertoire of possibility
  • Knowing is … appropriate functioning
  • Learner is … a digital technology
  • Learning is … expanding the repertoire of possibility
  • Teaching is … challenging

Originated

1950s

Synopsis

Learning-Machine Discourses focus on the use of digital technologies to make sense of the phenomenon of learning and to augment human possibility. On those matters, some are principally concerned with theoretical insights, while others are driven mainly by pragmatic interests.

Commentary

On the surface, it might also appear that all Learning-Machine Discourses address matters of “learning” and “knowledge” – but the truth of that point depends on what one assumes those words to mean. Some proponents and commentators assert that notions associated with “learning” are invoked only metaphorically across Learning-Machine Discourses. Others assume that these discourses are focused on modeling or imitating (but not duplicating) actual processes of learning. Still others assert that Learning-Machine Discourses are dealing with learning by non-organic entities.

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Please cite this article as:
Davis, B., & Francis, K. (2019). “Learning-Machine Discourses” in Discourses on Learning in Education. https://learningdiscourses.com.


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