Introducing junto: A web tool to build project teams based on a bidding strategy

Akhil Krishna Mohan, Priyanka Dey, Sizhi Tan, Blake Everett Johnson, Wade Fagen-Ulmschneider, Mariana Silva

Research output: Contribution to journalConference articlepeer-review

Abstract

This work presents a web application created to help instructors assign students to group projects, with an algorithm that optimizes student satisfaction, gives students the opportunity to select a team member, and reduces time needed for an instructor to create teams. Our approach focuses on two main aspects: (a) it gives the student the ability to apply weights to their project choices (instead of just ranking them) and (b) it provides students with the opportunity to select a classmate to be partnered with. We implemented a genetic algorithm that assigns students to projects in order to maximize the fitness function, defined as a multi-objective function to increase student satisfaction, decrease the variance of team sizes, and optionally decrease the GPA variance among team members.

Original languageEnglish (US)
Article number919
JournalASEE Annual Conference and Exposition, Conference Proceedings
Volume2020-June
StatePublished - Jun 22 2020
Event2020 ASEE Virtual Annual Conference, ASEE 2020 - Virtual, Online
Duration: Jun 22 2020Jun 26 2020

ASJC Scopus subject areas

  • Engineering(all)

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