Enhancing Management Education via Intelligent Tutors
Abstract: Management education is engaged in significant programmatic reforms in response to the business community’s call for web-savvy, problem-solving graduates. Web-based intelligent tutors provide a readily accessible vehicle for enhancing business students’ learning performance as well as preparing them for the rigors of the global marketplace. A primary goal of these AI-based systems is to approach Bloom’s two-sigma learning performance standard. Bloom found that average students tutored one-to-one with mastery learning techniques performed two standard deviations better than students who learned via conventional teaching methods. Bloom also pointed out that master-based individual and team tutoring do not lend themselves to economies of scale, attesting that one-to-one tutoring would be too expensive for most schools to deploy on a wide scale basis. Several recent meta-studies have examined the efficacy of ITS in this regard. The results indicated that ITS are approaching the one-sigma performance standard (mastery learning methods). Implementing ITS throughout the schools of business possess many challenges. One way to address these concerns is to employ systems that are easy to use, that minimize potential problems, and that yield early success. In this regard, two promising strategies are learning management system (LMS) and standalone authoring design tools. This virtual presentation will focus on ITS results to date and specific ITS implementation strategies.