Evaluation of Human-Artificial Hybrid Tutoring System for Mediation of Engagement in E-Learning

This pioneering article aims to understand hybrid tutoring strategies, which combine human and artificial tutor interventions. In this regard, an approach of an Intelligent Tutoring System (ITS) was developed, involving the intervention of human tutors to mediate student engagement in e-learning. To evaluate the effectiveness of the approach, testing guidelines were adopted involving human tutors from the stages of system preparation, activity script creation and interview, test application, data collection, analysis, and communication of iteration results and proposals for improving the ITS approach. The results suggest effectiveness in increasing productivity and facilitating tutoring activities. Additionally, there was a lower perception of complexity, burden, and consistency when continuously iterating the system with the involvement of human tutors. Therefore, strategies such as “active search” for students with low engagement levels were facilitated by algorithms from the ITS approach, with the contribution and involvement of interpersonal interactions of human tutors to provide students with attractive and personalized tutoring experiences.