Matching Items (2)
Description
For this master's thesis, an open learner model is integrated with Quinn, a teachable robotic agent developed at Arizona State University. This system is represented as a feedback system, which aims to improve a student’s understanding of a subject. It also helps to understand the effect of the learner model when it is represented by performance of the teachable agent. The feedback system represents performance of the teachable agent, and not of a student. Data in the feedback system is thus updated according to a student's understanding of the subject. This provides students an opportunity to enhance their understanding of a subject by analyzing their performance. To test the effectiveness of the feedback system, student understanding in two different conditions is analyzed. In the first condition a feedback report is not provided to the students, while in the second condition the feedback report is provided in the form of the agent’s performance.
ContributorsUpadhyay, Abha (Author) / Walker, Erin (Thesis advisor) / Nelson, Brian (Committee member) / Amresh, Ashish (Committee member) / Arizona State University (Publisher)
Created2016
Description
The Barrett Honors Student, Cameron Berns, was asked to characterize a torque control solution for a myoelectric controlled prosthetic hand. The student performed several tasks above the senior design scope for the honors portion that include: experimentation to find the best torque control solution, design of a digital control system and debug board, perform idealistic characterization on the chosen torque control option, and finally research future implementation for total system identification. The experiments were a success and a crude implementation was achieved.
ContributorsBerns, Cameron Joseph (Author) / Christen Blain, Jennifer (Thesis director) / Kozicki, Michael (Committee member) / Electrical Engineering Program (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2020-05