Abstract
In this paper, we propose an agent-based framework to enhance, control and manage the research supervision process. The proposed framework consists of three phases which are Research Development Activities, Performance and Completion Measurement, and Tracking Activities. The Research Development Activities phase proposes a number of activities to develop a research. These activities consist of two layers, abstract and detail. Performance and Completion Measurement phase works on measuring a student performance and expected completion date. The Tracking Activities phase presents the proposed activities to track and trigger a student’s tasks. We discuss the components of the framework as possible implementation for a general application of research supervision management.
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Jassim, O.A., Mahmoud, M.A., Ahmad, M.S. (2015). A Multi-agent Framework for Research Supervision Management. In: Omatu, S., et al. Distributed Computing and Artificial Intelligence, 12th International Conference. Advances in Intelligent Systems and Computing, vol 373. Springer, Cham. https://doi.org/10.1007/978-3-319-19638-1_15
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DOI: https://doi.org/10.1007/978-3-319-19638-1_15
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-19637-4
Online ISBN: 978-3-319-19638-1
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