Emotions and Intelligent Tutors

Author(s):  
Rámon Toala ◽  
Dalila Durães ◽  
Paulo Novais
Keyword(s):  
Author(s):  
Michael Eagle ◽  
Albert Corbett ◽  
John Stamper ◽  
Bruce M. McLaren ◽  
Angela Wagner ◽  
...  

2019 ◽  
pp. 361-390
Author(s):  
Matthew W. Easterday ◽  
Yanna Krupnikov ◽  
Colin Fitzpatrick ◽  
Salwa Barhumi ◽  
Alexis Hope

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.


Author(s):  
Owen P. Hall Jr.

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.


Author(s):  
Owen P. Hall Jr.

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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