Theory Visualization: Integrating Findings from the PAC-Involved Evaluation into a Strategic Knowledge Map
Session Number: 2652
Track: Systems in Evaluation
Session Type: Poster
Tags: Innovation, methods, STEM education, student engagement, Systems Thinking, theory
First Author or Discussion Group Leader: Izolda Fotiyeva [Mathematics Instructor - Howard University]
Second Author or Discussion Group Leader: Bernadette M Wright [Director of Research & Evaluation - Meaningful Evidence, LLC]
Third Author or Discussion Group Leader: Ladel Lewis, PhD [Senior Research Strategist - Meaningful Evidence, LLC]
Fourth Author or Discussion Group Leader: Steven E. Wallis, Ph.D. [Director of Meta Analysis - Meaningful Evidence, LLC]
Time: Nov 11, 2015 (07:00 PM - 09:00 PM)
Room: Grand Ballroom, Poster 333
Audience Level: Advanced
At the 2013 AEA Conference, in a session on “Complexity Made Simple: Systems Models for Evaluation Practice,” John Gargani gave the challenge: We need to show that these [simulation] models work; next year come back and tell us what model works best. Our aim is to answer that challenge, demonstrating a new conceptual systems science method to assess and compare program models/theories. Previous studies have applied Integrative Propositional Analysis to assess theories in broad fields (e.g. scientific revolutions, policies, entrepreneurship, organizational learning). Here, we apply it to map findings from the evaluation of the PAC-Involved pilot, an innovative learning model to increase high school students’ engagement in STEM. This approach provides a transparent, collaborative way to assess the breadth and inter-connectedness of our theory, assess how it is improving, show what parts of our theory are evidence-supported, and identify options and leverage points for action and questions for future research.
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