Abstract
Using electronic portfolios (e-portfolios) to assist learning is an important component of future educational models. We show how to use the information contained in e-portfolios to initialize learner models for adaptive tutorials. E-portfolios become sources of evidence for claims about prior conceptual knowledge or skills. An experiment is designed for testing how accurate a model can be built and how beneficial this approach can be for reflective and personalized learning. Monitoring this process can also help tutorial developers and experts identify how initial learner models may automatically arise from e-portfolios.
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© 2006 Springer-Verlag Berlin Heidelberg
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Guo, Z., Greer, J. (2006). Electronic Portfolios as a Means for Initializing Learner Models for Adaptive Tutorials. In: Nejdl, W., Tochtermann, K. (eds) Innovative Approaches for Learning and Knowledge Sharing. EC-TEL 2006. Lecture Notes in Computer Science, vol 4227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11876663_40
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DOI: https://doi.org/10.1007/11876663_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45777-0
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