An Evolution of Tutoring and Training from Humans to Intelligent Systems: Human Factors Considerations

Abstract

As training researchers and developers, we strive to understand and produce effective and efficient training. Research suggests the most effective form of instruction is individualized human tutoring. Yet this is rarely the most efficient form of instruction monetarily or in instructor time. Technological advances and a vision of effective, yet more efficient, computer based tutors has led to the development of sophisticated new training technologies such as Intelligent Tutoring Systems (ITSs). These systems have yet to reach their full forecast potential. In this paper we theorize that issues key to successful advancement of ITSs are human factors issues. Primary of these issues is determining how technology mediation impacts not only cognition, but also other key learning issues such as affect, emotions, motivation, and trust.