Monday Eze1,*, Charles Okunbor2, Solomon Esomu3, Nneka Richard-Nnabu4, Kayode Oladapo1, Oghenetega Avwokuruaye5, Abisola Olayiwola6, Akpovi Ominike7, Godwin Odulaja8, Oluwatobi Akinmerese1
Computer Systems Science and Engineering, Vol.42, No.1, pp. 15-31, 2022, DOI:10.32604/csse.2022.021964
Abstract Knowledge propagation is a necessity, both in academics and in the industry. The focus of this work is on how to achieve rapid knowledge propagation using collaborative study groups. The practice of knowledge sharing in study groups finds relevance in conferences, workshops, and class rooms. Unfortunately, there appears to be only few researches on empirical best practices and techniques on study groups formation, especially for achieving rapid knowledge propagation. This work bridges this gap by presenting a workflow driven computational algorithm for autonomous and unbiased formation of study groups. The system workflow consists of a chronology of stages, each made… More >
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