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.

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.

Expanding Bloom's Two-Sigma Tutoring Theory Using Intelligent Agents

This article describes how 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 prepare 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. Intelligent tutors can also be used to identify students at risk, to formulate appropriate intervention plans, and to support team learning. The purpose of this article 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.

Political Agenda

Engaged citizenship requires understanding why different ideologies lead to different policy positions. However, we know little about political perspective taking. How might we use games to teach citizens political perspective taking? This paper describes a design research project to develop a cognitive game for political perspective taking. Study 1 describes a political perspective taking measure created through expert and novice task analysis. Study 2 surveyed 187 undergraduate students and found relatively poor political perspective taking ability. Study 3 tests an educational game for political perspective taking and found that the game was engaging but did not promote learning. Study 4 describes a technical exploration testing the feasibility of a cognitive game with intelligent tutoring for scaffolding complex reasoning on political perspectives. This work argues games can teach political perspective taking using: (a) moral foundations theory, (b) fantasy environments that ask players to predict policy positions, and (c) embedded intelligent tutors.

Pedagogical Software Agents for Personalized E-Learning Using Soft Computing Techniques

Due to the emerging e-learning scenario, there is a need for software agents to teach individual users according to their skill. This chapter introduces software agents for intelligent tutors for personalized learning of English. Software agents teach a user English on the aspects of reading, translation, and writing. Software agents help user to learn English through recognition and synthesis of human voice and helps users to improve on handwriting. Its main objective is to understand what aspect of the language users wants to learn. It deals with the intuitive nature of users' learning styles. To enable this feature, intelligent soft computing techniques have been used.

Expanding Bloom's Two-Sigma Tutoring Theory Using Intelligent Agents

This article describes how 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 prepare 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. Intelligent tutors can also be used to identify students at risk, to formulate appropriate intervention plans, and to support team learning. The purpose of this article 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.