Beverly Park Woolf, Eric Rubin, Paul Barth: Meno-II: An Intelligent Tutoring System for Novice Programmers

Context-Dependent Transitions in Tutoring Discourse

Successful machine tutoring, like other forms of ~~mamnachine discourse, requires sophisticated communication skills and a deep understanding of the student’s knowledge. A system must have the ability to reason about a student’s knowledge and to assess the effect of the discourse on him. In this paper we describe Meno-tutor, a LISP program that deliberately Plans the rhetorical structure of its...

A Dynamic Mixture Model to Detect Student Motivation and Proficiency

Unmotivated students do not reap the full rewards of using a computer-based intelligent tutoring system. Detection of improper behavior is thus an important component of an online student model. To meet this challenge, we present a dynamic mixture model based on Item Response Theory. This model, which simultaneously estimates a student’s proficiency and changing motivation level, was tested wit...

Improving Math Learning through Intelligent Tutoring and Basic Skills Training

We studied the effectiveness of a math fact fluency tool integrated with an intelligent tutor as a means to improve student performance in math standardized tests. The study evaluated the impact of Math Facts Retrieval Training (MFRT) on 250 middle school students and analyzed the main effects of the training by itself and also as a supplement to the Wayang Tutoring System on easy and hard item...

QUANTITATIVE EVALUATION OF GENDER DIFFERENCES, COGNITIVE DEVELOPMENT DIFFERENCES AND SOFTWARE EFFECTIVENESS FOR AN ELEMENTARY MATHEMATICS INTELLIGENT TUTORING SYSTEM A Dissertation Presented by IVON

symbolism or diagrams, thereby capitalizing on this student's strengths. It has been argued whether Piagetian abilities such as conservation should be used to determine student readiness to learn certain mathematical concepts [Weaver, 1972]. However, there is evidence for the success of manipulatives in the early grades [Suydam and Higgins, 2

Analyzing students’ response to help provision in an elementary mathematics Intelligent Tutoring System