Technology for facilitating and analyzing interviews in large groups

Abstract

This thesis presents a system for leveraging simple technologies to improve the robustness, efficiency, and effectiveness of interviews in the context of a large network. The technology was used in the context of a successful activity-the Leadership Module-to teach leadership and communication to a group of engineering sophomores. The Leadership Module combines principles in education, organization behavior, and algorithms to improve the student learning experience. Two separate iterations of the activity explored the tradeoff between data gathering and student feedback. The power method of eigenvalue analysis was used to rank student evaluations of leadership effectively and robustly, yet provided insufficient feedback for students. Revising the activity to focus on visioning and collaborating resulted in a more relevant lesson for students. The system can be extended to other applications, especially speed dating and other academic courses.