EduChat: AI-Powered Chatbot with Personalized Engagement for Online Learning

Currently, the transformation to fully online learning during COVID-19 encourages the usage of social media platforms such as WhatsApp and Telegram in the learning environment. However, the social media platform has some limitations, including the loss and difficulty in keeping track of messages from instructors due to the lack of personalized engagement, the disappearance of information or learning materials due to time sharing limitations, and the size of the file that users can share. Today, chatbots are opening doors to the way we acquire specific information about services. Chatbots are able to provide immediate answers, information, and advice without the user ever having to have a conversation with a human. The Chatbot helps better communication with prospect queries and pushes the business forward. However, in response to questions that do not match the keywords specified, it is still open for a solution. Further details of finding proper answers such as links or applying elements of AI approaches should be provided instead of leaving those questions unanswered. This paper address the above issues by developing a novel educational chatbot known as EduChat, that is able to provide a personal assistant and appropriate information or learning materials for the dynamic students’ needs. Natural language Processing (NLP) and Support Vector Machines (SVM) model for sentiment analysis will be implemented in the development of EduChat. The element of Artificial Intelligence (AI) supported by the ontology will give EduChat provides personal assistant messaging.