Authors:
Alexander M. Olieman
and
Frank Nack
Affiliation:
University of Amsterdam, Netherlands
Keyword(s):
Collaborative Learning, Computer-Supported Group Formation, Information Extraction, Entity Linking, Mastery Profiling, Graph Exploration, DBpedia Spotlight, Gremlin.
Related
Ontology
Subjects/Areas/Topics:
Collaborative Learning
;
Computer-Supported Education
;
Context Dependent Learning
;
Groupware Tools
;
Information Technologies Supporting Learning
;
Social Context and Learning Environments
;
Ubiquitous Learning
Abstract:
Computer-supported group formation enables educators to assign students to project teams. The focus in this paper is placed on gathering data about student attributes that are relevant in the context of specific course projects. We developed a method that automatically produces learner models from existing documents, by linking students to topics and estimating the levels of skill, knowledge, and interest that students have in these topics. The method is evaluated in an experiment with student participants, wherein its performance is measured on two levels. Our results demonstrate that it is possible to link students to topics with high precision, but suggest that estimating mastery levels is a more challenging task.