Encyclopedia of Artificial Intelligence
Encyclopedia of Artificial Intelligence
Evaluating tutors that listen: an overview of project LISTEN
Smart machines in education
Using Bayesian Networks to Manage Uncertainty in Student Modeling
User Modeling and User-Adapted Interaction
Human Problem Solving
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Identifiability: A Fundamental Problem of Student Modeling
UM '07 Proceedings of the 11th international conference on User Modeling
Does Help Help? Introducing the Bayesian Evaluation and Assessment Methodology
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
Can a Computer Listen for Fluctuations in Reading Comprehension?
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Addressing the assessment challenge with an online system that tutors as it assesses
User Modeling and User-Adapted Interaction
Two methods for assessing oral reading prosody
ACM Transactions on Speech and Language Processing (TSLP)
Using learning analytics to assess students' behavior in open-ended programming tasks
Proceedings of the 1st International Conference on Learning Analytics and Knowledge
Using problem-solving context to assess help quality in computer-mediated peer tutoring
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part I
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Collaboration in cognitive tutor use in latin America: field study and design recommendations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
User Modeling and User-Adapted Interaction
Proceedings of the Third International Conference on Learning Analytics and Knowledge
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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 and is statistically noisy. 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. Although not quite as strong as the standardized test, our assessment method can provide a report on the student at any time during the year and requires no break from reading to administer. 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.