What Do You Prefer? Using Preferences to Enhance Learning Technology

Kärger, Philipp; Olmedilla, Daniel; Abel, Fabian; Herder, Eelco; Siberski, Wolf

doi:10.1109/tlt.2008.5

Cited by 6 publications

(4 citation statements)

References 33 publications

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“…The proposed preference language can be translated to specific languages of different recommendation systems. For instance, [12] introduces soft constraints into SPARQL queries. The query in Figure 5 combines σ x 1 and σ x 2 as two independent Pareto preferences, each one with multiple cascading lexicographic preferences.…”

Section: Albums the Wall Pulsementioning

confidence: 99%

User preferences in the web of data

et al. 2014

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This article introduces a domain-and application-independent language for representing preferences as part of user profiles. It also describes the translation of statements of this language to RDF datasets using a new ontology named Framework for Ratings and Preferences (FRAP). The availability of this language and its RDF representation enable the effective exchange of user preferences across different applications in the web environment. The practical usage and limitations of this approach are also discussed in the article.

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Section: Albums the Wall Pulsementioning

confidence: 99%

User preferences in the web of data

et al. 2014

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“…They have introduced a scalable and interoperable integration platform supporting various assessment agents. Karger et al [14] presented a technique based on "Preference Handling" for representing the learner"s preferences and exploited this representation for selecting learning resources that best match these preferences. The technique is applicable during the process of searching for learning resources, the adaptation of course delivery to the goals, interests, and knowledge that are stated in the form of preferences.…”

Section: Literature Reviewmentioning

confidence: 99%

Blended Learning System Performance Evaluation

Zaeri¹

2013

IJCA

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In this paper, the use of the blended learning pedagogy as a teaching environment is studied. This pedagogy is based on a mixture of collaborative learning, problem-based learning and independent learning. Also, it is realized as a combination of a face-to-face environment and online learning, using a proprietary learning management system. More precisely, the methodological approach implemented by the Arab Open University is explored. The Arab Open University has twelve different branches distributed in eight different countries. In addition, the blended learning course design is described and the fulfillment of the corresponding learning outcomes is investigated. The study concludes that the technology provides with more learning choices. Among the choices is the blended learning that has several advantages and strength when compared to its counterpart, the classical learning. However, there are some challenges that need to be considered as well.

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“…On the other hand, preferences can also be expressed as qualitative descript i o n so fas e to fp r o p e r t i e st h a ts p e c i f y user interests, which can be added to the queries as constraints [5]. To query the Semantic Web with preferences, the PREFERRING clause has been provided in the SPARQL which states preferences among values of variables [8].…”

Section: Related Workmentioning

confidence: 99%