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292 Germanakos & Mourlas Copyright 2006, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. Figure 2. INSPIRE s components and the interaction with the learner As mentioned earlier, successful adaptation attempts have been made in the e-learning research field to provide the students with adapted content according to their different learning styles or knowledge level and goals. A typical case of such a system could be considered the INSPIRE (Intelligent System for Personalized Instruction in a Remote Environment) architecture, see Figure 2, where throughout its interaction with the learner, the system dynamically generates lessons that gradually lead to the accomplishment of the learning goals selected by the learner (Papanikolaou, Grigoriadou, Kornilakis, & Magoulas, 2002). INSPSIRE architecture has been designed so as to facilitate knowledge communication between the learner and the system and to support its adaptive functionality. INSPIRE comprises of five different modules: (a) the Interaction Monitoring Module that monitors and handles learner s responses during his/her interaction with the system, (b) the Learner s Diagnostic Module that processes data recorded about the learner and decides on how to classify the learner s knowledge, (c) the Lesson Generation Module that generates the lesson contents according to learner s knowledge goals and knowledge level, (d) the Presentation Module which functions to generate the educational material pages sent to the learner, and (e) the Data Storage, which holds the Domain knowledge and the Learner s Model. Web Personalization Overview Web Personalization refers to the whole process of collecting, classifying, and analyzing Web data, and determining based on these the actions that should be performed so that the information is presented in a personalized manner to the user. As inferred from its name, Web Personalization refers to Web applications solely (with popular use in e- Data Storage Domain Knowledge Learner Model Lesson Generation Module Diagnostic Module Presentation Module Interaction Monitoring Module Lesson Presentation Learner s Response Data Storage

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