TEXTNET: a network-based approach to text handling
ACM Transactions on Information Systems (TOIS)
Learning to program = learning to construct mechanisms and explanations
Communications of the ACM
Scaffolded examples for learning object-oriented design
Communications of the ACM
PlanEdit: An Adaptive Problem Solving Tool for Design
AH '02 Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Planning in problem solving: a case study in domotics
FIE '00 Proceedings of the 30th Annual Frontiers in Education - Volume 01
Visualizing shared-knowledge awareness in collaborative learning processes
CRIWG'07 Proceedings of the 13th international conference on Groupware: design implementation, and use
An overview of CSCL methodologies
ICLS '10 Proceedings of the 9th International Conference of the Learning Sciences - Volume 1
A model-driven development method for collaborative modeling tools
Journal of Network and Computer Applications
An adaptation algorithm for an intelligent natural language tutoring system
Computers & Education
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Experimental learning environments based on simulation usually require monitoring and adaptation to the actions the users carry out. Some systems provide this functionality, but they do so in a way which is static or cannot be applied to problem solving tasks. In response to this problem, we propose a method based on the use of intermediate languages to provide adaptation in design learning scenarios. Although we use some approaches which are familiar from other domains (e.g., programming tutors) they are novel as regards their application to a very different domain and as a result we have incorporated new strategies. The purpose of our proposal is to provide monitoring, guidance and adaptive features for PlanEdit, a tool for the learning of integral automation methods in buildings and housing by design. This tool is part of a collaborative environment, called DomoSim-TPC, which supports distance learning of domotical design. We have carried out an experiment to obtain some data which confirm that our position can be effective for group learning of domotical design, studying the relationship between the quantity of model work carried out and the errors made.