A review of personal profile features in personalized learning systems

From National Research Council Canada

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DOIResolve DOI: https://doi.org/10.1007/978-3-319-60018-5_5
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Name affiliation
  1. National Research Council Canada. Information and Communication Technologies
FormatText
TypeArticle
Proceedings titleAdvances in Human Factors in Training, Education, and Learning Sciences. AHFE 2017
Series titleAdvances in Intelligent Systems and Computing; no. 596
ConferenceInternational Conference on Applied Human Factors and Ergonomics, 17-21 July 2017, Los Angeles, CA, USA
ISSN978-3-319-60017-8
978-3-319-60018-5
2194-5357
Pages46–55
Subjectpersonal profiles; personalized learning
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.
Publication date
PublisherSpringer
LanguageEnglish
Peer reviewedYes
NPARC number23002266
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Record identifierda0939af-4254-4ae2-8906-5416ae4754be
Record created2017-09-26
Record modified2019-03-13
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