Requirement Engineering in Learning Analytics (Machine Learning) in an Indigenously Designed Learning Platform: A Case Study

Abstract

Examination of data from a variety of sources could be a very effective tool for needs elicitation and management (Franch, 2020) and an indigenously developed platform for learning purposes should not be excluded or ignored (Adewusi, Egbowon & Akindoju, 2021). With the use of natural language processing or machine learning in analysing, data are tough to grasp since they necessitate high-quality data and specialised knowledge from several domains, and more importantly, their generalisation remains a difficult task (Franch, 2020). Although data-driven approaches are becoming more prevalent in practically every aspect of software development and or engineering, the issue of requirement engineering is still not being addressed to ensure that designed software, particularly indigenous applications, is appropriate to the end-users such as parents, government and stakeholders in all educational sector all over the world. However many countries shut down their schools in a bid to avoid the spread of COVID-19. This Chapter examines Requirement Engineering in Learning Analytics (Machine Learning) in an Indigenously Designed Learning Platform using a Case Study Keywords: Requirement Engineering, Learning Analytics, Machine Learning