Managing Knowledge Diversity: Towards Automatic Semantic Group Formation
Sven Manske, H. Ulrich Hoppe · 2017
Web-based learning environments such as the Go-Lab portal facilitate the structuring and scaffolding of inquiry processes and enable learners to create various types of knowledge artefacts (texts, concept maps, hypotheses). In this context, we have introduced semantic technologies to extract key concepts from heterogeneous learner-generated artefacts. Based on this approach, we propose an algorithm and a software application that forms heterogeneous groups. Semantic group formation creates groupings based on semantic diversity representing students' complementarity in knowledge. Finally, we compare this approach to a prior score-based approach.