Rieber, Lloyd P. (2020). Building a software tool to explore subjectivity in the classroom: A design case. International Journal of Designs for Learning, 11(1), 140-150. (Link: https://doi.org/10.14434/ijdl.v11i1.26471) (Access: https://scholarworks.iu.edu/journals/index.php/ijdl/article/view/26471/33768)

Abstract: Q methodology provides a unique mixed-methods means of examining subjectivity through the use of an activity called a Q sort in which participants must sort a list of given items within a predetermined sorting form. Although Q methodology has a long history as a research tool, its use as an instructional tool has not been extensively explored. This is unfortunate because the Q sort activity—an element of Q methodology—offers instructors with an evidence-based approach to helping individual students understand their own subjective points of view while also helping to reveal distinctive subjective profiles or perspectives held by all students in the class. One reason why Q sorts may not have been embraced by instructors is perhaps the fact that it is difficult to prepare a Q sort in its traditional, paper-based form. A prototype of a Q sort software tool was built to meet this challenge. The purpose of this paper is to present the story of the current design of this tool. Four categories of design iterations developed over a four-year period are presented and discussed.

Lloyd P Rieber <lrieber@uga.edu> is in the Department of Career and Information Studies (Learning, Design, and Technology), University of Georgia, Athens, GA (USA).

Leave a Reply

Please log in using one of these methods to post your comment:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.