Hypermedia and learning: freedom and chaos
Educational Technology - Hypermedia
Practical neural network recipes in C++
Practical neural network recipes in C++
Relationship of learning style to the effectiveness and acceptance of interactive video instruction
Journal of Computer Based Instruction
Teaching with and about computers in secondary schools
Communications of the ACM - Special issue on technology in K–12 education
Computers in the classroom: mindtools for critical thinking
Computers in the classroom: mindtools for critical thinking
An Introduction to Neural Networks
An Introduction to Neural Networks
The Electronic Word: Democracy, Technology, and the Arts
The Electronic Word: Democracy, Technology, and the Arts
HyperText/Hypermedia
MUSP'08 Proceedings of the 8th WSEAS International Conference on Multimedia systems and signal processing
The integration of simulation modeling system for student experiment and modeling ability evaluation
Proceedings of the 2009 International Conference on Hybrid Information Technology
Machine learning based learner modeling for adaptive web-based learning
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part I
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The assessment of learners' metacognitive knowledge level is crucial when developing computer-assisted language learning systems. Currently, many systems assess learners' metacognitive knowledge level with pre-instructional questionnaires or metacognitive interviews. However, learners with limited language proficiency may be at a disadvantage in responding to verbal-report interview or questionnaire probes. The goal of this study is to present a neural network model that assesses automatically the learner's meta-cognitive knowledge level by observing his/her online browsing behavior. The model is implemented through a multi-layer feed forward neural network. An experiment was conducted to examine the suitability of this model in different Web page structures. One hundred and forty-six college students were categorized into three groups according to three Web page structures: networked, hierarchical, and linear. The experiment results verified the suitability of the proposed model, and the MSEs of assessment of the three groups showed no significant differences with respect to the Web page structures.