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Achieving Bloom's Two-Sigma Goal Using Intelligent Tutoring Systems: Application to Management Education

Achieving Bloom's Two-Sigma Goal Using Intelligent Tutoring Systems: Application to Management Education
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Author(s): Owen P. Hall Jr. (Pepperdine University, USA)
Copyright: 2021
Pages: 23
Source title: Research Anthology on Business and Technical Education in the Information Era
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-5345-9.ch031

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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 via mastery learning techniques. Furthermore, intelligent tutors can also be used to identify students at risk, to formulate appropriate intervention plans, and to support team learning. Recent evidence suggests that achieving Bloom's goal may be achievable on a routine basis by 2025. The purpose of this chapter is to highlight the growing potential for using intelligent tutors to enhance student and team learning opportunities and outcomes and to outline strategies for implementing this revolutionary process throughout the management education community of practice.

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