Recommending Moodle Resources Using Chatbots
Kamal Souali, Othmane Rahmaoui, Mohammed Ouzzif, Ismail El Haddioui · 2019
Recommending the most suitable educational resources has always been a challenge in the field of E-Learning. This challenge has pushed educators and researchers to implement new ideas to help learners improve their learning and their knowledge. New solutions are using Artificial Intelligence (AI) techniques such as Machine Learning (ML) and Natural Language Processing (NLP). In this paper, we propose and describe a new recommendation approach, centered primarily on the use of a custom chatbot which can be linked to Moodle's platform using a web configuration. A chatbot is an automated communication tool, based on intents and designed to emulate communication capabilities and conduct a conversation with individuals. The proposed system should be able to answer learner's queries in real-time and able to provide a relevant set of suggestions according to their needs.