Recommending teachers for collaborative authoring tools

This paper presents a recommendation algorithm that suggests relevant collaborative teams of teachers to the coordinators of courses or units of learning. This work is motivated by the need of automating and facilitating the search of experts that could contribute to the design and development of units of learning in collaborative authoring tools. The proposed algorithm solves a set covering problem by following a greedy approach that maximizes a Gaussian cost function. The results show that the recommended collaborative teams are optimal in terms of precision, but should be improved in terms of coverage and recall

keywords: Collaborative authoring, collaborative teams, recommendation algorithm, set-covering, coverage, precision, recall.