Towards a Hybrid World - The Fuzzy Quality of Collaboration/Interaction (FuzzyQoC/I) Hybrid Model in the Semantic Web 3.0

As a decision support tool, a hybrid modelling can offer the ability to better understand the dynamics of a particular ecosystem, as well as to explore possible futures based on different online learning scenarios. From this perspective, the present paper proposes/discusses a hybrid approach that may serve as a means to synthesize/represent knowledge obtained from the data, in order to explore online learning environment (OLE) states, based on different management, policy or environmental scenarios. More specifically, this paper explores the potentiality of the quality of collaboration (QoC) within an Internet-based computer-supported collaborative learning environment and the quality of interaction (QoI) with a learning management system (LMS), both involving fuzzy logic-based modeling, as vehicles to improve the personalization and intelligence of an OLE. In this approach, a novel research framework could be established, in order to support the exploration of new ways of effective teaching, when bridging the fields of blendedand collaborativelearning into a hybrid and enhanced teaching-learning environment. Moreover, the combined measures (i.e., QoC and QoI) can form the basis for a more realistic approach of OLEs within the concept of semantic Web and the associated Web 3.0 features, as they effectively capture the underlying behaviour of the core stakeholders involved in the context of Higher Education. Finally, a potential case study of the examined hybrid modelling (FuzzyQoC/I), referring to the “i-Treasures” European FP7 Programme, is discussed, to explore its applicability and functionality under pragmatic learning scenarios, serving as a proof of concept.