z-logo
open-access-imgOpen Access
Self Organizing Units To Promote Interdisciplinary Teaming In A Course For Pervasive Computing Design
Author(s) -
Lisa McNair,
Chad Newswander,
Eloïse Coupey,
Ed Dorsa,
Tom Martin,
Marie Paretti
Publication year - 2020
Publication title -
2009 annual conference and exposition proceedings
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--5065
Subject(s) - class (philosophy) , computer science , situated , ubiquitous computing , discipline , knowledge management , software development , software , human–computer interaction , artificial intelligence , sociology , social science , programming language
We conducted a case study of a design course that focused on bringing together students from engineering, industrial design, and marketing to use pervasive computing technologies to design, coordinate, and build a “smart” dorm room for disabled individuals. The class was loosely structured to encourage innovation, critical thinking and interdisciplinarity. In this environment, teams were created, disassembled, and re-created in a self-organizing fashion. With few norms, teams were expected to be interdisciplinary, form quickly, and work together by creatively integrating their disciplinary expertise. In observing this semester-long class, we found certain conditions that will enhance pedagogical tools designed to expedite team formation and improve collaborative practices in a classroom setting. Similar to open source software development, we found that groups can form randomly in a loosely coordinated environment that is both self-managing and self-directing if instructors create a strong normative foundation to the class. In this case study, we observed that the applied concept of self-organizing buffered with strong faculty input invests group members with a greater commitment to be productive, effective, and innovative.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom