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Annual Report 2010 - Fachgruppe Informatik an der RWTH Aachen ...

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Personalization in Technology Enh<strong>an</strong>ced Learning: A Social Software<br />

Perspective<br />

Mohamed Amine Chatti<br />

There is a wide agreement that traditional Technology Enh<strong>an</strong>ced Learning (TEL) models<br />

have failed to cope with the fast-paced ch<strong>an</strong>ge <strong>an</strong>d critical challenges of the new knowledge<br />

era. In this thesis, the Learning as a Network (LaaN) theory is introduced as a response to the<br />

increasing complexity of the new learning environments. LaaN draws upon connectivism,<br />

complexity theory, <strong>an</strong>d double-loop learning. It views knowledge as a personal network <strong>an</strong>d<br />

represents a knowledge ecological approach to learning.<br />

Based on the LaaN theory, the 3P Learning Model is discussed as <strong>an</strong> alternative TEL model<br />

that represents a fundamental shift toward a more personalized, social, open, dynamic,<br />

emergent <strong>an</strong>d knowledge-pull model for learning, as opposed to the one-size-fits-all,<br />

centralized, static, top-down, <strong>an</strong>d knowledge-push paradigms of traditional TEL models.<br />

Finally, the Social Software Supported Learning Framework is presented as a TEL<br />

information system that illustrates the 3P learning model in action, by implementing the main<br />

ideas un<strong>der</strong>pinning the 3P learning model, based on Web 2.0 concepts <strong>an</strong>d social software<br />

technologies.<br />

Evaluators: Prof. Dr. rer. pol. Matthias Jarke, <strong>RWTH</strong> <strong>Aachen</strong> University<br />

Prof. Dr. Marcus Specht, Open University Netherl<strong>an</strong>ds<br />

Date of oral exam: 5 October <strong>2010</strong><br />

465

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