Learning Design Authoring Tools in the TENCompetence Project

Beauvoir, Phillip; Griffiths, David; Sharples, Paul

doi:10.1007/978-3-642-00978-5_22

Cited by 4 publications

(2 citation statements)

References 2 publications

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“…This allows comparing differences in the modelling approaches for modelling personalised learning using the available concepts of IMS LD. Both UoLs were modelled with the ReCourse Editor [30] and tested with the SLED/CopperCore 3.4 runtime [31].…”

Section: Practical Aspects Of Modelling Personalised Learning With Immentioning

confidence: 99%

Orchestrating Learning Using Adaptive Educational Designs in IMS Learning Design

Gruber

Glahn

Specht

et al. 2010

Sustaining TEL: From Innovation to Learning and Practice

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IMS Learning Design (IMS LD) is an open specification to support interoperability of advanced educational designs for a wide range of technology-enhanced learning solutions and other units of learning. This paper analyses approaches to model personalised learning experiences with and without explicit adaptive features in IMS LD. The paper has two main parts. The first part analyses the relation between orchestrating learning and IMS LD's semantic features. The second part compares modelling strategies for educational designs for personalised learning in non-collaborative learning units using IMS LD Level A and IMS LD Level B features. The analysis is based on two worked-out IMS LD units. The paper concludes with a comparison of the two modelling approaches and addresses gaps when integrating adaptation concepts at the levels of the specification.

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Section: Practical Aspects Of Modelling Personalised Learning With Immentioning

confidence: 99%

Orchestrating Learning Using Adaptive Educational Designs in IMS Learning Design

Gruber

Glahn

Specht

et al. 2010

Sustaining TEL: From Innovation to Learning and Practice

View full text Add to dashboard Cite

show abstract

“…In e-learning environments, teachers perform various activities [37] including the development and publishing of resources in repositories or Learning Management Systems platforms, thus helping students to solve problems and themselves to manage the learning process and assess student performance. To support these activities, several computer-supported techniques such as knowledge models [6], design tools [4], data mining [38] and intelligent systems [18] have been reported elsewhere.…”

Section: Introductionmentioning

confidence: 99%