DIDABOT:
STUDENT SUPPORT SYSTEM ON DISTANCE LEARNING PLATFORMS
Keywords: EAD; adaptive learning; virtual assistant; chatbot
The increase in distance learning through distance learning platforms is a phenomenon that has been growing in recent years, also thanks to technology. Today, due to the COVID-19 pandemic, what was already a trend has become commonplace. The objective of this research is to identify a possible path to be taken to help students on distance learning platforms improve their own performance throughout their study journey. The research will use a qualitative and quantitative approach aimed at collecting relevant information about the routines of teachers and tutors in managing courses and the tool, in addition to interacting with some students to measure engagement. The nature will be applied with the production of content aimed at understanding which strategies increase engagement and finding methodologies to increase retention on the platform and in the course. The desired result is the development of a SaaS platform that can be connected to distance learning platforms via API that, based on the programming executed. The actions resulting from the verification of particular events and based on student performance, have been able to increasingly refine the content advisory system. Automating recurring processes and producing more personalized data more quickly frees up more time for platform managers, who can focus on providing more humanized support to students.