The University of Maine DigitalCommons@UMaine Honors College Spring 5-2020 An Evolutionary Approach to Crowdsourcing Mathematics Education Spencer Ward Follow this and additional works at: https://digitalcommons.library.umaine.edu/honors Part of the Logic and Foundations of Mathematics Commons, Mathematics Commons, and the Science and Mathematics Education Commons This Honors Thesis is brought to you for free and open access by DigitalCommons@UMaine. It has been accepted for inclusion in Honors College by an authorized administrator of DigitalCommons@UMaine. For more information, please contact
[email protected]. AN EVOLUTIONARY APPROACH TO CROWDSOURCING MATHEMATICS EDUCATION by Spencer Ward A Thesis Submitted in Partial Fulfillment of the Requirements for a Degree with Honors (Mathematics) The Honors College University of Maine May 2020 Advisory Committee: Justin Dimmel, Assistant Professor of Mathematics Education and Instructional Technology, Advisor François Amar, Dean of the Honors College and Professor of Chemistry Dylan Dryer, Associate Professor of Composition Studies Hao Hong, Assistant Professor of Philosophy and CLAS-Honors Preceptor of Philosophy Michael Wittmann, Professor of Physics ABSTRACT By combining ideas from evolutionary biology, epistemology, and philosophy of mind, this thesis attempts to derive a new kind of crowdsourcing that could better leverage people’s collective creativity. Following a theory of knowledge presented by David Deutsch, it is argued that knowledge develops through evolutionary competition that organically emerges from a creative dialogue of trial and error. It is also argued that this model of knowledge satisfies the properties of Douglas Hofstadter’s strange loops, implying that selF-reflection is a core feature of knowledge evolution.