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Cognitive Tutors: Lessons Learned
TLDR
The 10-year history of tutor development based on the advanced computer tutoring (ACT) theory is reviewed, finding that a new system for developing and deploying tutors is being built to achieve the National Council of Teachers of Mathematics (NCTM) standards for high-school mathematics in an urban setting.
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Performance Factors Analysis - A New Alternative to Knowledge Tracing
TLDR
This paper describes the work to modify an existing data mining model so that it can also be used to select practice adaptively, and compares this new adaptive datamining model (PFA, Performance Factors Analysis) with two versions of LFA and then compares PFA with standard KT.
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Learning Factors Analysis - A General Method for Cognitive Model Evaluation and Improvement
TLDR
A semi-automated method for improving a cognitive model called Learning Factors Analysis is proposed that combines a statistical model, human expertise and a combinatorial search to evaluate an existing cognitive model and to generate and evaluate alternative models.
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Off-task behavior in the cognitive tutor classroom: when students "game the system"
TLDR
Analysis of students who choose to game the system suggests that learned helplessness or performance orientation might be better accounts for why students choose this behavior than lack of interest in the material.
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A Data Repository for the EDM Community: The PSLC DataShop
TLDR
In recent years, educational data mining has emerged as a burgeoning new area for scientific investigation because of the increasing availability of fine-grained, extensive, and longitudinal data on student learning.
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Toward Meta-cognitive Tutoring: A Model of Help Seeking with a Cognitive Tutor
TLDR
The research focuses on the hypothesis that an intelligent tutoring system that provides guidance with respect to students' meta-cognitive abilities can help them to become better learners, and creates a preliminary model that captures both effective and ineffective help-seeking behavior.
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An effective metacognitive strategy: learning by doing and explaining with a computer-based Cognitive Tutor
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Individualized Bayesian Knowledge Tracing Models
TLDR
It is shown that student-specific parameters lead to a tangible improvement when predicting the data of unseen students, and that parameterizing students’ speed of learning is more beneficial than parameterizing a priori knowledge.
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Exploring the Assistance Dilemma in Experiments with Cognitive Tutors
Intelligent tutoring systems are highly interactive learning environments that have been shown to improve upon typical classroom instruction. Cognitive Tutors are a type of intelligent tutor based on…
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Organizing Instruction and Study to Improve Student Learning. IES Practice Guide. NCER 2007-2004.
TLDR
This practice guide should be used as a tool to assist in decision-making rather than as a " cookbook".
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