Personalized Learning Based on Learning Analytics and Chatbot

Abstract

Personalized learning requires technology in order to feed information about the learners' preferences, achievements and needs. However, many available works have focused either on fully automated processes such as prediction or recommendation of learning plan. In fact, integration of human into the machine learning loop would improve the performance of the assistive technology compared to separated models. In this paper we propose an approach for personalized learning that integrates human and machine learning, and utilize learning analytics, chatbot and recommendation system. We present our proposed idea and work in progress.