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Comparison of Machine Learning Methods for Intelligent Tutoring Systems
To implement real intelligence or adaptivity, the models for intelligent tutoring systems should be learnt from data. However, the educational data sets are so small that machine learning methodsExpand
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  • Open Access
Comparative evaluation of maximum a Posteriori vector quantization and gaussian mixture models in speaker verification
Gaussian mixture model with universal background model (GMM-UBM) is a standard reference classifier in speaker verification. We have recently proposed a simplified model using vector quantizationExpand
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  • 6
  • Open Access
Classifiers for educational data mining
The idea of classification is to place an object into one class or category, based on its other characteristics. In education, teachers and instructors are all the time classifying their students forExpand
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On designing a pervasive mobile learning platform
This article presents the features, design and architecture of the Myst pervasive game platform that has been applied in creating pervasive mobile learning games in various contexts such as scienceExpand
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  • Open Access
Hypercontextualized Learning Games
A Hypercontextualized Game (HCG) is a locally designed game that supports its players in gathering context-specific information and in-depth understanding and knowledge regarding the context of aExpand
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Designing Hypercontextualized Games: A Case Study with LieksaMyst
Digital technology empowers one to access vast amounts of on-line data. From a learning perspective, however, it is difficult to access meaningful on-site information within a given context. TheExpand
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  • Open Access
Comparing maximum a posteriori vector quantization and Gaussian mixture models in speaker verification
Gaussian mixture model - universal background model (GMM-UBM) is a standard reference classifier in speaker verification. We have recently proposed a simplified model using vector quantizationExpand
  • 11
  • 1
  • Open Access
Characteristics of pervasive learning environments in museum contexts
There is no appropriate learning model for pervasive learning environments (PLEs), and museums maintain authenticity at the cost of unmarked information. To address these problems, we present theExpand
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  • Open Access
Classifiers for educational technology
The idea of classification is to place an object into one class or category, based on its other characteristics. In education, teachers and instructors are all the time classifying their students forExpand
  • 6
  • 1
  • Open Access
Classiers for Educational Data Mining
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