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Toward Automatically Measuring Learner Ability from Human-Machine Dialog Interactions using Novel Psychometric Models
While dialog systems have been widely deployed for computer-assisted language learning (CALL) and formative assessment systems in recent years, relatively limited work has been done with respect to the psychometrics and validity of these technologies in evaluating and providing feedback regarding student learning and conversational ability.
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