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EDM
2008
141views Data Mining» more  EDM 2008»
13 years 6 months ago
Acquiring Background Knowledge for Intelligent Tutoring Systems
One of the unresolved problems faced in the construction of intelligent tutoring systems is the acquisition of background knowledge, either for the specification of the teaching st...
Cláudia Antunes
EDM
2008
169views Data Mining» more  EDM 2008»
13 years 6 months ago
Mining Student Behavior Models in Learning-by-Teaching Environments
This paper discusses our approach to building models and analyzing student behaviors in different versions of our learning by teaching environment where students learn by teaching ...
Hogyeong Jeong, Gautam Biswas
EDM
2008
104views Data Mining» more  EDM 2008»
13 years 6 months ago
Data-driven modelling of students' interactions in an ILE
This paper presents the development of two related machine-learned models which predict (a) whether a student can answer correctly questions in an ILE without requesting help and (...
Manolis Mavrikis
EDM
2008
288views Data Mining» more  EDM 2008»
13 years 6 months ago
Data Mining Algorithms to Classify Students
In this paper we compare different data mining methods and techniques for classifying students based on their Moodle usage data and the final marks obtained in their respective cou...
Cristóbal Romero, Sebastián Ventura,...
EDM
2008
127views Data Mining» more  EDM 2008»
13 years 6 months ago
Adaptive Test Design with a Naive Bayes Framework
Bayesian graphical models are commonly used to build student models from data. A number of standard algorithms are available to train Bayesian models from student skills assessment...
Michel C. Desmarais, Alejandro Villarreal, Michel ...
EDM
2008
92views Data Mining» more  EDM 2008»
13 years 6 months ago
Mining Free-form Spoken Responses to Tutor Prompts
How can an automated tutor assess children's spoken responses despite imperfect speech recognition? We address this challenge in the context of tutoring children in explicit s...
Xiaonang Zhang, Jack Mostow, Nell Duke, Christina ...
EDM
2008
121views Data Mining» more  EDM 2008»
13 years 6 months ago
Analytic Comparison of Three Methods to Evaluate Tutorial Behaviors
We compare the purposes, inputs, representations, and assumptions of three methods to evaluate the fine-grained interactions of intelligent tutors with their students. One method i...
Jack Mostow, Xiaonan Zhang
EDM
2008
289views Data Mining» more  EDM 2008»
13 years 6 months ago
Developing a Log-based Motivation Measuring Tool
The purpose of this study is to develop a conceptual framework and a tool for measuring motivation of online learners. The study was carried out in three phases, the first of which...
Arnon Hershkovitz, Rafi Nachmias
EDM
2008
108views Data Mining» more  EDM 2008»
13 years 6 months ago
Do Students Who See More Concepts in an ITS Learn More?
Active engagement in the subject material has been strongly linked to deeper learning. In traditional teaching environments, even though the student might be presented with new con...
Moffat Mathews, Tanja Mitrovic
EDM
2008
93views Data Mining» more  EDM 2008»
13 years 6 months ago
A Preliminary Analysis of the Logged Questions that Students Ask in Introductory Computer Science
Asking questions is widely believed to contribute to student learning, but little is known about the questions that students ask or how to exploit them in tutorial interventions to...
Cecily Heiner