Sciweavers

EDM
2008
110views Data Mining» more  EDM 2008»
13 years 10 months ago
A Response Time Model For Bottom-Out Hints as Worked Examples
Students can use an educational system's help in unexpected r example, they may bypass abstract hints in search of a concrete solution. This behavior has traditionally been la...
Benjamin Shih, Kenneth R. Koedinger, Richard Schei...
EDM
2008
136views Data Mining» more  EDM 2008»
13 years 10 months ago
Machine Classification of Peer Comments in Physics
As part of an ongoing project where SWoRD, a Web-based reciprocal peer review system, is used to support disciplinary writing, this study reports machine learning classifications o...
Kwangsu Cho
EDM
2008
117views Data Mining» more  EDM 2008»
13 years 10 months ago
Integrating Knowledge Gained From Data Mining With Pedagogical Knowledge
Abstract. Discovering knowledge from raw data is one of the goals of data mining. Yet, it is not always clear how this knowledge is used in educational computing systems and how ex...
Roland Hübscher, Sadhana Puntambekar
EDM
2008
129views Data Mining» more  EDM 2008»
13 years 10 months ago
Mining the Student Assessment Data: Lessons Drawn from a Small Scale Case Study
In this paper we describe an educational data mining (EDM) case study based on the data collected during the online assessment of students who were able to immediately receive tail...
Mykola Pechenizkiy, Toon Calders, Ekaterina Vasily...
EDM
2008
141views Data Mining» more  EDM 2008»
13 years 10 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 10 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 10 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 10 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 10 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 10 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 ...