利用智能辅导系统实现布鲁姆的两西格玛目标

Owen P. Hall Jr.
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引用次数: 0

摘要

管理教育正在进行重大的课程改革,以响应商界对精通网络、能解决问题的毕业生的呼吁。基于网络的智能导师为提高商学院学生的学习成绩以及为他们应对全球市场的严峻形势做好准备提供了一种便捷的工具。这些基于人工智能的系统的主要目标是通过掌握学习技术来接近布鲁姆的二西格玛学习性能标准。此外,智能导师还可以用来识别有风险的学生,制定适当的干预计划,并支持团队学习。最近的证据表明,到2025年,实现布鲁姆的目标可能是可以实现的。本章的目的是强调使用智能导师来提高学生和团队学习机会和成果的日益增长的潜力,并概述在整个管理教育实践社区实施这一革命性过程的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Achieving Bloom's Two-Sigma Goal Using Intelligent Tutoring Systems
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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