A Theory of Action for Classifying and Implementing Online Text- Based Curriculum Materials Using Natural Language Processing
Aaron Kessler, Anindya Roy, Daniel Seaton · 2021
The purpose of this work is to propose a theory of action for how educators can use Natural Language Processing (NLP) as a way to explore, classify, and implement online text-based curricular materials. Grounded in previous research from k-12 mathematics and science education, the theory of action highlights the role of the educator in implementing curriculum materials. Within the context of open and free online text-based curricular materials, this work forwards and operationalizes the theory of action for using NLP in the context of higher education physics instruction. Results demonstrate the feasibility of such a model with implications for the importance of educators being “in the loop” instead of black boxing such processes.