9781000794236.pdf

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...

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Γλώσσα:English
Έκδοση: Taylor & Francis 2022
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spelling oapen-20.500.12657-597372022-11-29T03:30:43Z Computer-Driven Instructional Design with INTUITEL Fuchs, Kevin Henning, Peter A. Computer programming / software engineering Energy bic Book Industry Communication::U Computing & information technology::UM Computer programming / software development bic Book Industry Communication::P Mathematics & science::PH Physics::PHD Classical mechanics::PHDY Energy 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. 2022-11-28T16:03:47Z 2022-11-28T16:03:47Z 2017 book ONIX_20221128_9781000794236_21 9781000794236 9788793519510 9781003337690 https://library.oapen.org/handle/20.500.12657/59737 eng application/pdf n/a 9781000794236.pdf Taylor & Francis River Publishers 10.1201/9781003337690 10.1201/9781003337690 7b3c7b10-5b1e-40b3-860e-c6dd5197f0bb 3983007a-5726-4f1e-b9df-3fbc771f2916 9781000794236 9788793519510 9781003337690 River Publishers 178 [...] European Commission European Union open access
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language English
description 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.
title 9781000794236.pdf
spellingShingle 9781000794236.pdf
title_short 9781000794236.pdf
title_full 9781000794236.pdf
title_fullStr 9781000794236.pdf
title_full_unstemmed 9781000794236.pdf
title_sort 9781000794236.pdf
publisher Taylor & Francis
publishDate 2022
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