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INSTRUCT: Modeling students by asking questions
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Psychological Evaluation of Path Hypotheses in Cognitive Diagnosis
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The State of Student Modelling
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Modelling a Student’s Inconsistent Beliefs and Attention
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Machine learning: An artificial intelligence approach (vol. 2)
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ON ASKING THE RIGHT QUESTIONS
inferredcites →https://doi.org/10.1016/c2009-0-27551-9openalex-snapshot
Logical Foundations of Artificial Intelligence
inferredcites →https://doi.org/10.1016/c2013-0-07697-9openalex-snapshot
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An Architecture and Methodology for Creating a Domain‐Independent, Plan‐Based Intelligent Tutoring System
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Metamouse: specifying graphical procedures by example
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DEMONSTRATION INSTEAD OF PROGRAMMING: FOCUSSING ATTENTION IN ROBOT TASK ACQUISITION
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Novice LISP Errors: Undetected Losses of Information from Working Memory
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Effective Tutoring Techniques: A Comparison of Human Tutors and Intelligent Tutoring Systems
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Repair Theory: A Generative Theory of Bugs in Procedural Skills
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How evaluation guides AI research
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Generation of Adaptive Pedagogical Scenarios in Serious Games
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