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In this paper, we present a Web-based intelligent tutoring system, called Remote Laboratory (RL). It is a computer-based learning environment that allows students from anywhere to access and perform experiments on real laboratory equipment from a distance via the Internet. As such, RLs are excellent platforms for students to network and collaborate with students from other. The project creates a platform in higher education sector, to be used to support student collaborative activities in RLs in a structured way that will enable students to develop in technical skills. We discuss how to employ facial expression recognition (FER) to develop an intelligent system to guide the students and also help them to improve the teaching and learning process.
Khalfallah et al. (2015) studied this question.