A tutoring strategy supporting system for distance learning on computer networks

With the fast development of computer networks, people can access information and communicate with others without being constrained by space and time. Through network communications, people can discuss things with others to solve their problems. Therefore, how to implement distance cooperative computer-assisted learning (CAL) systems on computer networks becomes an interesting and challenging issue. In this paper, the authors present their work of applying a fuzzy expert system to support the tutoring strategies of a distance cooperative CAL environment. They analyze the special needs for developing CALs in the distance cooperative environment, and define a set of parameters, which is concerned with effectiveness of learning through networks. They also model the behaviors of the students on networks through their online operations. A theoretical framework and some methodologies are proposed based upon the concepts and the techniques of fuzzy expert systems to cope with the problems. A fuzzy expert system is then implemented to guide the students during the learning processes and to help the CAL system to present feasible subject materials to the students. By evaluating their approach with a small group of college freshmen, they conclude that this research is worth further studying