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Computational
modeling of teacher learner expertise Background:
About a decade ago the advent of the Web and multimedia swung
attention radically away from serious work that was under way on
cognitive modelling of human language learning and expertise, and using
those models as test-beds for cognitive research. Social and
constructivist models are powerful, attractive and fit well into the
current ethos of applied linguistics; but we have lost out on a
dimension of research, and current work is not moving discernibly in
this cognitive-modelling direction, which I believe provides a
theoretically, methodologically and applicationally rich domain for CALL
research. Research question: To what extent and how
can we knowledge-engineer, and computationally model, teacher and
learner expertise in CALL in current socially-enriched and
constructivist paradigms? What does this enterprise tell us about human
learning and teaching, and about the delicacy of computational
formalisms to represent this expertise? Suggested methodology/comments:
Close collaboration between software engineers, AI experts,
applied linguists and CALL practitioners and theoreticians, the goal
being not to build real-world learning systems, but rather to construct
test-beds which can be used to investigate human learning and teaching,
and computational paradigms for their representation and investigation. Contact: Roly Sussex sussex@uq.edu.au Reader Comments:
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