Date of Award

5-25-2024

Degree Type

Dissertation

Degree Name

Doctorate of Philosophy (PhD) in Education

Department

College of Education, Doctoral Program

First Advisor

Andrea Kayne

Abstract

Queering’ questions, unlearns, disrupts, and transforms approaches, expectations, and realities. Futures are time and change. The approach I have designed to operationalize Queering and futures, or Queering futures, is the Queering Futures Framework (QFF). The Queering Futures Framework (QFF) is a brand-new transdisciplinary research framework intersecting values, positionality, complexity, Queerness themes, and futures praxis. This framework expands traditional mixed methods research conventions by integrating quantitative, qualitative, and practice-based research modes and mindsets. The Queering Futures Framework (QFF) prototype presented in this dissertation functions as a test case and proof of concept. The prototype quantitative mode measures attitudes towards AI, and a qualitative mode explores impressions of mental time travel, AI, and futures. Within the culminating practice-based mode, signals identified in the quantitative results and qualitative findings are integrated and inform a new practice-based method, called data-driven speculation. I created data-driven speculation method to connect data and imagination. Readers are invited to adapt and iterate.

Download

Share

COinS