Computer-Driven Instructional Design with INTUITEL
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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| Ձևաչափ: | Online |
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| Լեզու: | անգլերեն |
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Taylor & Francis
2022
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| Խորագրեր: | |
| Առցանց հասանելիություն: | ONIX_20221128_9781000794236_21 |
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Չկան պիտակներ, Եղեք առաջինը, ով նշում է այս գրառումը!
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| _version_ | 1869518854197084160 |
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| collection | Directory of Open Access Books |
| 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. |
| format | Online |
| id | doab-20.500.12854ir-94321 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Taylor & Francis |
| publisherStr | Taylor & Francis |
| record_format | ojs |
| spelling | doab-20.500.12854ir-943212025-05-09T10:00:48Z Computer-Driven Instructional Design with INTUITEL Fuchs, Kevin Henning, Peter A. Computer programming / software engineering 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. 2022-11-29T04:04:04Z 2022-11-29T04:04:04Z 2022-11-28T16:03:47Z 2017 book ONIX_20221128_9781000794236_21 https://library.oapen.org/handle/20.500.12657/59737 9781000794236 9788793519510 9781003337690 https://directory.doabooks.org/handle/20.500.12854/94321 eng open access image/jpeg image/jpeg image/jpeg n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/59737/1/9781000794236.pdf https://library.oapen.org/bitstream/20.500.12657/59737/1/9781000794236.pdf https://library.oapen.org/bitstream/20.500.12657/59737/1/9781000794236.pdf Taylor & Francis River Publishers 10.1201/9781003337690 10.1201/9781003337690 fa69b019-f4ee-4979-8d42-c6b6c476b5f0 European Commission 3983007a-5726-4f1e-b9df-3fbc771f2916 9781000794236 9788793519510 9781003337690 EU collection River Publishers 178 [...] open access |
| spellingShingle | Computer programming / software engineering Energy Computer-Driven Instructional Design with INTUITEL |
| title | Computer-Driven Instructional Design with INTUITEL |
| title_full | Computer-Driven Instructional Design with INTUITEL |
| title_fullStr | Computer-Driven Instructional Design with INTUITEL |
| title_full_unstemmed | Computer-Driven Instructional Design with INTUITEL |
| title_short | Computer-Driven Instructional Design with INTUITEL |
| title_sort | computer driven instructional design with intuitel |
| topic | Computer programming / software engineering Energy |
| topic_facet | Computer programming / software engineering Energy |
| url | ONIX_20221128_9781000794236_21 |