Proposal of algorithms to make up for lost school and university years in post-conflict African countries in the face of Covid-19: case of the Central African Republic Online publication date: Wed, 05-Oct-2022
by Ghislain Mervyl Saint-Juste Kossingou; Bessan Melckior Dégboé; Samuel Ouya; Gervais Mendy
International Journal of Mobile Learning and Organisation (IJMLO), Vol. 16, No. 4, 2022
Abstract: The 12 years of politico-military crises in the Central African Republic (CAR), has created an educational social imbalance in the rural areas of CAR compared to the capital city of Bangui. In some rural areas of CAR, children have not attended school during the 12-year war. The situation has worsened with the Covid-19 pandemic. We modelled two algorithms and materialised them by developing an API Framework Rasa chat bot that uses the main components Rasa NLU, Rasa Core and the programming language Python for the remediation of lost school and university years in African countries in conflict, particularly CAR. It also allows for the orientation in normal, professional and specific training in each province of the CAR, according to the level required of the learner. It takes into account the social distancing imposed by the Covid-19 pandemic.
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