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    Computer-Driven Instructional Design with INTUITEL

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    Contributor(s)
    Fuchs, Kevin (editor)
    Henning, Peter A. (editor)
    Language
    English
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    Abstract
    INTUITEL is a research project that was co-financed by the European Commission with the aim to advance state-of-the-art e-learning systems via addition of guidance and feedback for learners. Through a combination of pedagogical knowledge, measured learning progress and a broad range of environmental and background data, INTUITEL systems will provide guidance towards an optimal learning pathway. This allows INTUITEL-enabled learning management systems to offer learners automated, personalised learning support so far only provided by human tutors INTUITEL is - in the first place - a design pattern for the creation of adaptive e-learning systems. It focuses on the reusability of existing learning material and especially the annotation with semantic meta data. INTUITEL introduces a novel approach that describes learning material as well as didactic and pedagogical meta knowledge by the use of ontologies. Learning recommendations are inferred from these ontologies during runtime. This way INTUITEL solves a common problem in the field of adaptive systems: it is not restricted to a certain field. Any content from any domain can be annotated. The INTUITEL research team also developed a prototype system. Both the theoretical foundations and how to implement your own INTUITEL system are discussed in this book.
    URI
    https://library.oapen.org/handle/20.500.12657/59737
    Keywords
    Computer programming / software engineering; Energy
    DOI
    10.1201/9781003337690
    ISBN
    9781000794236, 9788793519510, 9781003337690, 9781000794236
    Publisher
    Taylor & Francis
    Publisher website
    https://taylorandfrancis.com/
    Publication date and place
    2017
    Grantor
    • European Commission - [...]
    Imprint
    River Publishers
    Classification
    Computer programming / software development
    Energy
    Pages
    178
    Rights
    http://creativecommons.org/licenses/by-nc/4.0
    • Imported or submitted locally

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    Credits

    • logo Scoss
    • logo EU
    • logo Scoss
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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