**Part 3**

**New Approaches** 

176 E-Learning – Engineering, On-Job Training and Interactive Teaching

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**11** 

*Greece* 

Costas Mourlas

**Personalized Learning in** 

**Hypermedia Environments** 

*Dept of Communication and Media Studies, University of Athens* 

Distance learning (or eLearning) is considered one of the most rapidly evolving application areas of the Web that improves the traditional educational processes and methodologies of knowledge transfer. In recent years, there has been significant research and experimentation around the adaptation and personalization of the eLearning hypermedia that mainly concerns the timely delivery and adjustment of the content to user's needs and perceptual characteristics. This chapter provides a new comprehensive approach of reconstructing eLearning content; by creating a user profile based on specific metrics of cognitive processing parameters (such as cognitive style, cognitive processing speed efficiency, working memory factors and affective parameters) that have specific impact into the information space. Such approach may be proved to be very useful in assisting and facilitating a student to better understand eLearning content and therefore increase his / her academic performance. In view of that, an adaptation and personalization Web-based environment has been developed. It is detached into a number of interrelated components, each one representing a stand alone Web system. An evaluation of the proposed environment is presented with the results being highly promising and encouraging for the continuation of our research, since there has been identified significant increase of learners' academic performance when interacting with the personalized eLearning environment that is matched to their cognitive and affective

Adapting to user context, individual features and behaviour patterns is a topic of great attention nowadays in the field of Web-based learning. A challenge is to design personalized interfaces and software enabling easy access to the learning content while being sufficiently flexible to handle changes in user's context, perception and available resources. One of the key technical issues in developing personalization applications is the problem of how to construct accurate and comprehensive profiles of individual users and how these can be used to identify a user and describe the user behaviour. The objective of user profiling is the creation of an information base that contains the preferences,

There are some noteworthy applications in the area of Web personalization that collect information with various techniques from the users based on which they adapt the services content provided. Such systems, mostly commercial, are amongst others the Broadvision's One-To-One (www.broadvision.com), Microsoft's Firefly Passport (developed by the MIT

parameters as well as visual working memory span capabilities.

characteristics and activities of the user.

**1. Introduction** 
