Abstract
This paper analyses how a Teacher Model supports the emulation of teaching styles for enhancing decision-making skills. Our general goal is to contribute to making the authoring of adaptive Web-based applications easier. This research also studies how an adaptive hypermedia system can use the Teacher Model to facilitate personalized support. We pay attention to the Teacher Model as the main source of information that a system uses for making decisions in adaptation and recommendation of examples that matches the teacher’s preferences. In our research, the system uses information from the Teacher Model that reduces the complexity of adapting to different teaching styles in order to propose appropriate examples for a particular teacher.
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