Sign Management for the Future of e-Education: Examples of Collaborative e-Services in a Living Lab (Invited Paper)

• Published in: Artificial Intelligence for Knowledge Management pp. 1 - 20
• Main Authors: Conruyt, Noël, Sébastien, Véronique, Sébastien, Olivier, Sébastien, Didier, Grosser, David
• Format: Book Chapter
• Language: English
• Published: Cham Springer International Publishing
• Series: IFIP Advances in Information and Communication Technology
• Subjects: Creativity platform; e-education; e-service; Living lab; Semiotic web; Sign management
• ISBN: 3319288679; 9783319288673
• ISSN: 1868-4238; 1868-422X
• DOI: 10.1007/978-3-319-28868-0_1

From a European technological and industrial perspective of the 20th century, Knowledge Management (KM) was viewed as the next step towards reaching a smart knowledge-based economy. But today, in the 21th century of big data and fast moving information, we argue that KM is not enough for reaching a qualitative human-based post-industrial society. We need a broader view in order to understand user needs and respond to their personal desires. In this endeavor, Living labs are a good way to reposition creative people at the center of technologies. But we need also methodologies and tools to accompany the transition from a competitive economy to a more sustainable society. We experimented this move at University of Reunion Island in the domain of e-education. We conceived a new paradigm called Sign Management (SM) for enhancing content producers with multimedia tools on a Creativity Platform. A methodology for co-designing educational e-services was applied in both natural (biodiversity) and cultural (music) domains in order that linear knowledge transmission lets place to an iterative know-how sharing approach between teachers and learners. This sign-based methodology serves as a condition for opening the era of Semiotic Web (Web of Signs) over Semantic Web (Web of Things). The objective is to co-create qualitative educational e-services with people based on a more natural/artificial and intelligent approach in the frame of Living labs.