Intelligent Tutoring System Using Decision Based Learning for Thermodynamic Phase Diagrams

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2017-04-01
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Amin-Naseri, Mostafa
Jackman, John
Guo, Enruo
Gilbert, Stephen
Faidley, LeAnn
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Jackman, John
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Gilbert, Stephen
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Mechanical Engineering
The Department of Mechanical Engineering at Iowa State University is where innovation thrives and the impossible is made possible. This is where your passion for problem-solving and hands-on learning can make a real difference in our world. Whether you’re helping improve the environment, creating safer automobiles, or advancing medical technologies, and athletic performance, the Department of Mechanical Engineering gives you the tools and talent to blaze your own trail to an amazing career.
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Psychology
The Department of Psychology may prepare students with a liberal study, or for work in academia or professional education for law or health-services. Graduates will be able to apply the scientific method to human behavior and mental processes, as well as have ample knowledge of psychological theory and method.
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Industrial and Manufacturing Systems Engineering
The Department of Industrial and Manufacturing Systems Engineering teaches the design, analysis, and improvement of the systems and processes in manufacturing, consulting, and service industries by application of the principles of engineering. The Department of General Engineering was formed in 1929. In 1956 its name changed to Department of Industrial Engineering. In 1989 its name changed to the Department of Industrial and Manufacturing Systems Engineering.
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Mechanical EngineeringVirtual Reality Applications CenterPsychologyIndustrial and Manufacturing Systems EngineeringHuman Computer Interaction
Abstract

Students learn when they connect new information to existing understanding or when they modify existing understanding to accept new information. Most current teaching methods focus on trying to get students to solve problems in a manner identical to that of an expert. This study investigates the effectiveness of assessing student understanding related to context specific problem solving decisions, prescribing feedback based on the assessment, and improving student understanding to the point where they can make correct decisions. Students were given a refrigeration problem unlike their prior problems and were asked to draw the cycle on a T-v diagram using a tutor system. Every group tested (a total of 373 students) showed a significant improvement in their understanding (p < 0.0001, Cohen’s d > 0.8) using a single 40 minute tutor activity

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This article is published as Hagge, Matthew, Mostafa Amin-Naseri, John K. Jackman, Enruo Guo, Stephen B. Gilbert, Gloria Starns, LeAnn Faidley. "Intelligent Tutoring System Using Decision Based Learning for Thermodynamic Phase Diagrams." Advances in Engineering Education 6, no. 1 (2017). Posted with permission.

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Sun Jan 01 00:00:00 UTC 2017
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