Abstract
This paper reviews literature, market reports and commercial sites in order to identify features of personal profiles. This is a preparatory step in the development of a personalized learning environment. Results indicate that several features can be included as long as they relate to use cases. We also found that privacy concerns might arise when dealing with personal profiles and measures should be taken to ensure compliance with policies and legislations on the topic, to avoid the risk of alienating users.
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The authors would like to acknowledge the National Research Council of Canada’s Learning and Performance Support Systems Program for supporting this research.
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Lapointe, JF., Kondratova, I., Molyneaux, H., Shaikh, K., Vinson, N.G. (2018). A Review of Personal Profile Features in Personalized Learning Systems. In: Andre, T. (eds) Advances in Human Factors in Training, Education, and Learning Sciences. AHFE 2017. Advances in Intelligent Systems and Computing, vol 596. Springer, Cham. https://doi.org/10.1007/978-3-319-60018-5_5
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