Recommendation of Pedagogical Resources within a Learning Ecosystem

With the current development of Information and Communication Technologies (ICT), organizations deal with great amount of information coming from many systems. Identifying a resource of relevant information to a specific context becomes a real challenge. In the course of our work we are interested in recommendation of pedagogical resources within a learning ecosystem. We have chosen to model a learning ecosystem as a system of information systems (SoIS). In this SoIS we introduce a resource recommender system. This system is based on users’ votes (learners, teachers), and the similarity between the description of pedagogical resources and the learners' profile. In our approach, we take into account the willingness to collaborate. Therefore, we exploit a collaboration model that supports learning ecosystem to answer the demand for questions such as, who collaborates with whom, how, when, why, on what and where, etc. The work presented in this paper is focused on at recommendation of pedagogical resources within a learning ecosystem. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org. MEDES '17, Bangkok, Thailand © 2017 ACM. 978-1-4503-4895-9/17/11...$15.00 DOI: 10.1145/3167020.3167023 CCS Concept Human-centered computing~Collaborative and social computing systems and tools; Information systems~Answer ranking; Information systems~Social tagging systems