Amarasinghe, I. Hernández-Leo, D. Jonsson, A. Manatunga, K. Sustaining Continuous Collaborative Learning Flows in MOOCs: Orchestration Agent Approach. J.UCS Journal of Universal Computer Science
We develop a large number of software tools and hosting infrastructures to support the research developed at the Department. We will be detailing in this section the different tools available. You can take a look for the moment at the offer available within the UPF Knowledge Portal, the innovations created in the context of EU projects in the Innovation Radar and the software sections of some of our research groups:
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Artificial Intelligence |
Nonlinear Time Series Analysis |
Web Research |
Music Technology |
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Interactive Technologies |
Barcelona MedTech |
Natural Language Processing |
Nonlinear Time Series Analysis |
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UbicaLab |
Wireless Networking |
Educational Technologies |
Amarasinghe, I. Hernández-Leo, D. Jonsson, A. Manatunga, K. Sustaining Continuous Collaborative Learning Flows in MOOCs: Orchestration Agent Approach. J.UCS Journal of Universal Computer Science
Amarasinghe, I. Hernández-Leo, D. Jonsson, A. Manatunga, K. Sustaining Continuous Collaborative Learning Flows in MOOCs: Orchestration Agent Approach. J.UCS Journal of Universal Computer Science, 24(8) 1034-1051
Collaborative learning spaces deployed in Massive Open Online Courses (MOOCs) provide productive social learning opportunities. However, sustaining collaboration in these spaces is challenging. This paper provides a classification of MOOCs participants based on their behavior in a structured collaborative learning space. This analysis leads to requirements for new technological interventions to orchestrate collaborative learning flows in MOOCs. The paper proposes the design of an intelligent agent to address these requirements and reports a study which shows that the intervention of the proposed orchestration agent in a MOOC facilitates to maintain continuous yet meaningful collaboration learning flows.