Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Probabilistic Student Modelling to Improve Exploratory Behaviour
User Modeling and User-Adapted Interaction
Learning probabilistic relational models
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Building an Affective Model for Intelligent Tutoring Systems with Base on Teachers' Expertise
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Inferring Knowledge from Active Learning Simulators for Physics
MICAI '09 Proceedings of the 8th Mexican International Conference on Artificial Intelligence
Adding features of educational games for teaching physics
FIE'09 Proceedings of the 39th IEEE international conference on Frontiers in education conference
Evaluating an affective student model for intelligent learning environments
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
Supporting content, context and user awareness in future internet applications
The Future Internet
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Open learning environments often involve simulation where learners can experiment with different aspects and parameters of a given phenomenon to observe the effects of these changes. These are desirable in virtual laboratories. However, an important limitation of open learning environments is the effectiveness for learning, because it strongly depends on the learner ability to explore adequately. We have developed a semi-open learning environment for a virtual robotics laboratory based on simulation, to learn through free exploration, but with specific performance criteria that guide the learning process. We proposed a generic architecture for this environment, in which the key element is an intelligent tutoring system coupled to a virtual laboratory. The tutor module combines the performance and exploration behaviour of a student in several experiments, to decide the best way to guide his/her. We present an evaluation with an initial group of 20 students. The results show how this semi-open leraning environment can help to accelerate and improve the learning process.