Duval, Erik
Biography
Duval served on the executive committee of the Society for Learning Analytics Research (SoLAR), as a fellow of the AACE, as a member of ACM, and the IEEE computer society, on the Editorial Review Board and the Executive Advisory Board of the International Journal on E-Learning, as an associate editor of the IEEE Transactions on Learning Technologies (TLT), on the board of editors of the Journal of Universal Computer Science, and as a member of the informatics section of the Academia Europeae.
In the last stages ...
Biography
Duval served on the executive committee of the Society for Learning Analytics Research (SoLAR), as a fellow of the AACE, as a member of ACM, and the IEEE computer society, on the Editorial Review Board and the Executive Advisory Board of the International Journal on E-Learning, as an associate editor of the IEEE Transactions on Learning Technologies (TLT), on the board of editors of the Journal of Universal Computer Science, and as a member of the informatics section of the Academia Europeae.
In the last stages of his research career, Duval and his team were focused on:
- Capturing user actions for analysis of the user experience (with sensors like brainwave, ECG, eyetracking, … but also software sensors that track what people do)
- Personal information visualisation, where we try to help users with awareness, reflection, sensemaking, and behaviour change.
- Author Name Variants
- Duval, Erik
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Computer Scientist
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Metadata interoperability in agricultural learning repositories: An analysisManouselis, Nikos; Najjar, Jehad; Kastrantas, Kostas; Salokhe, Gauri; Stracke, Christian M.; Duval, Erik (2010-03-01)The rapid evolution of ICT creates numerous opportunities for agricultural education and training. Digital learning resources are organized in online databases called learning repositories, in which people can search, locate, and access resources. In order to facilitate the exchange of information between such repositories, the issue of metadata interoperability is crucial. In this paper, we particularly focus on metadata interoperability of learning repositories with content relevant to agricultural stakeholders. More specifically, we present results from an analysis of implementations of metadata standards in agricultural learning repositories around the world. The results provide useful feedback to the developers of repositories with educational content for agricultural stakeholders, as well as directions for potential harmonization of work in this area.
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Issues and considerations regarding sharable data sets for recommender systems in technology enhanced learningDrachsler, Hendrik; Bogers, Toine; Vuorikari, Riina; Verbert, Katrien; Duval, Erik; Manouselis, Nikos; Beham, Guenter; Lindstaedt, Stephanie; Stern, Hermann; Friedrich, Martin; et al. (2010-01-01)This paper raises the issue of missing data sets for recommender systems in Technology Enhanced Learning that can be used as benchmarks to compare different recommendation approaches. It discusses how suitable data sets could be created according to some initial suggestions, and investigates a number of steps that may be followed in order to develop reference data sets that will be adopted and reused within a scientific community. In addition, policies are discussed that are needed to enhance sharing of data sets by taking into account legal protection rights. Finally, an initial elaboration of a representation and exchange format for sharable TEL data sets is carried out. The paper concludes with future research needs.
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Metadata Principles and PracticalitiesDuval, Erik; Hodgins, Wayne; Sutton, Stuart; Weibel, Stuart L.The rapid changes in the means of information access occasioned by the emergence of the World Wide Web have spawned an upheaval in the means of describing and managing information resources. Metadata is a primary tool in this work, and an important link in the value chain of knowledge economies. Yet there is much confusion about how metadata should be integrated into information systems. How is it to be created or extended? Who will manage it? How can it be used and exchanged? Whence comes its authority? Can different metadata standards be used together in a given environment? These and related questions motivate this paper. The authors hope to make explicit the strong foundations of agreement shared by two prominent metadata Initiatives: the Dublin Core Metadata Initiative (DCMI) and the Institute for Electrical and Electronics Engineers (IEEE) Learning Object Metadata (LOM) Working Group. This agreement emerged from a joint metadata taskforce meeting in Ottawa in August, 2001. By elucidating shared principles and practicalities of metadata, we hope to raise the level of understanding among our respective (and shared) constituents, so that all stakeholders can move forward more decisively to address their respective problems. The ideas in this paper are divided into two categories. Principles are those concepts judged to be common to all domains of metadata and which might inform the design of any metadata schema or application. Practicalities are the rules of thumb, constraints, and infrastructure issues that emerge from bringing theory into practice in the form of useful and sustainable systems.