P.T. Baffes, Learning to Model Students: Using Theory Refinement to Detect Misconceptions. Technical Report, Artificial Intelligence, University of Texas at Austin, February, (1994). Home/Search Document Details and Download
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A Multi-Agent and Emergent Approach to Learner Modelling - Webber, Pesty, Balacheff (2002) (Correct)
....and to maintain. First machine learning algorithms have overcome limitations of a b bug libraries construction and maintenance by inducting bugs from examples of learner s behaviours. Since then, improvements on machine learning techniques have shown some results learning about learners [5,6,7,8]. One origin of the problem of diagnosing student s conception is in the large variety of students possible conceptions, either correct or not. Indeed anyone in the field can acknowledge the extraordinary capacity of human beings to develop ways of knowings well adapted to certain specific ....
P.T. Baffes, Learning to Model Students: Using Theory Refinement to Detect Misconceptions. Technical Report, Artificial Intelligence, University of Texas at Austin, February, (1994).
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