Sassenfeld, R. J., & Nogales, L., & Gamillo, B. A. (2016, June), An Automated Entrepreneurial Team Selection Tool  Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.26574

\bibitem{asee_peer_26574}
  Sassenfeld, R. J., \& Nogales, L., \& Gamillo, B. A. (2016, June), \emph{An Automated Entrepreneurial Team Selection Tool}
  Paper presented at 2016 ASEE Annual Conference \& Exposition, New Orleans, Louisiana.
  10.18260/p.26574

Rolfe J. Sassenfeld, Luke Nogales, and Barbara Andrea Gamillo.  "An Automated Entrepreneurial Team Selection Tool".  2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana, 2016, June.  ASEE Conferences, 2016.  https://peer.asee.org/26574 Internet.  26 Apr, 2024

\bibitem{asee_peer_26574}
  Rolfe J. Sassenfeld, Luke Nogales, and Barbara Andrea Gamillo.
  "An Automated Entrepreneurial Team Selection Tool".
  \emph{2016 ASEE Annual Conference \& Exposition, New Orleans, Louisiana, 2016, June}.
  ASEE Conferences, 2016.
  https://peer.asee.org/26574 Internet.  26 Apr, 2024

@INPROCEEDINGS{asee_peer_26574
author = "Rolfe J. Sassenfeld, Luke Nogales, and Barbara Andrea Gamillo"
title = "An Automated Entrepreneurial Team Selection Tool"
booktitle = "2016 ASEE Annual Conference \& Exposition"
year = "2016"
month = "June"
address = "New Orleans, Louisiana"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/26574}
number = {10.18260/p.26574}
}

TY  - CPAPER
AB  - This is a Work in Progress paper and will focus on the development and implementation of a software tool for engineering entrepreneurship team selection. Students working in teams is an integral part of today’s engineering learning experience. Selection of students for team placement is often done manually or in some other ad hoc fashion. We present an automated software tool we call “TeamBuilder” for forming teams in the classroom, as well as for supporting forming entrepreneurial teams. Our tool incorporates factors such as the student’s personality, experience, major, and gender. TeamBuilder uses the Teamology approach, which utilizes Carl Jung’s personality formula, similar to the Myers-Briggs type indicator, to classify a student’s primary cognitive mode. The TeamBuilder program also incorporates a student’s demographic information, enabling users to better specify the team makeup. Instructors can select and prioritize the criteria for group composition and TeamBuilder automatically builds the teams. 
This tool allows any instructor to quickly form teams that have diversity or similarities with respect to personality type, primary cognitive modes, academic major, specific experience or expertise, and gender. With TeamBuilder, instructors can prioritize which factors are most important for the particular team exercise. TeamBuilder also offers the ability to create completely randomized student teams. This tool can support and facilitate researchers studying the effect of team composition on student learning. Instructors can even use TeamBuilder to create randomized control teams to use as comparison to teams with specific compositions. 
In this paper we discuss the evolution of the TeamBuilder software and its use in the entrepreneurship team formation. We provide illustrative examples of TeamBuilder in use within courses to study the effect on students’ team formation preferences. Initial data is used to directionally assess the performance of teams formed ad hoc versus with TeamBuilder. 

AU  - Rolfe J. Sassenfeld
AU  - Luke Nogales
AU  - Barbara Andrea Gamillo
CY  - New Orleans, Louisiana
DA  - 2016/06/26
PB  - ASEE Conferences
TI  - An Automated Entrepreneurial Team Selection Tool
UR  - https://peer.asee.org/26574
DO  - 10.18260/p.26574
ER  -