An AI-Driven Virtual Teacher That Can Upskill Anyone on a One-to-One Basis Tested From Refugee Camps in Iraq to India

Abstract

Through AI modeling work done with Otermans Institute, Dev Aditya has built several conversational AI-driven virtual teachers, some as Bots and some using humanlike form through technologies like deepfake, to provide one-to-one teaching and training to some of the most underserved learners in society. His first major humanlike prototype, OI AI, was a virtual teacher and trainer built to interact with and teach almost anyone globally. The first version of the virtual trainer was tested in a UNHCR BCF camp in Kurdistan, Iraq. Preliminary results have shown that this virtual trainer can provide continuous upskilling for such learners and has been considered to be warm and humanlike by its users. With smartphone and internet penetration now increasing in such camps, the potential of it upskilling internally displaced and refugee learners is massive especially when over 500 million people are displaced by either violence or war globally. This presentation will discuss this study briefly, its preliminary findings, and the next steps that have included teaching 5,000 such learners by embedding his latest model OTTO to the virtual teacher, which can generate questions, grade answers given by users, and create study summaries from any learning content given to it in close to real-time.



Author Information
Dev Aditya, Otermans Institute and Brunel University London, United Kingdom
Pauldy Otermans, Otermans Institute and Brunel University London, United Kingdom

Paper Information
Conference: ERI2022
Stream: Artificial Intelligence and Adaptive Learning

This paper is part of the ERI2022 Conference Proceedings (View)
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To cite this article:
Aditya D., & Otermans P. (2022) An AI-Driven Virtual Teacher That Can Upskill Anyone on a One-to-One Basis Tested From Refugee Camps in Iraq to India ISSN: 2435-1202 – The IAFOR Conference on Educational Research & Innovation: 2022 Official Conference Proceedings https://doi.org/10.22492/issn.2435-1202.2022.21
To link to this article: https://doi.org/10.22492/issn.2435-1202.2022.21


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