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2004
Springer

Using Knowledge Tracing to Measure Student Reading Proficiencies

9 years 4 months ago
Using Knowledge Tracing to Measure Student Reading Proficiencies
Constructing a student model for language tutors is a challenging task. This paper describes using knowledge tracing to construct a student model of reading proficiency and validates the model. We use speech recognition to assess a student’s reading proficiency at a subword level, even though the speech recognizer output is at the level of words. Specifically, we estimate the student’s knowledge of 80 letter to sound mappings, such as ch making the sound /K/ in “chemistry.” At a coarse level, the student model did a better job at estimating reading proficiency for 47.2% of the students than did a standardized test designed for the task. Our model’s estimate of the student’s knowledge on individual letter to sound mappings is a significant predictor of whether he will ask for help on a particular word. Thus, our student model is able to describe student performance both at a coarse- and at a fine-grain size.
Joseph E. Beck, June Sison
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where ITS
Authors Joseph E. Beck, June Sison
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