What happens when we use qualitative coding and qualitative ethnographic methodologies to train a text classification algorithm for the purpose of measuring dispositional learning in student self reflection?
Project Description
While Machine Learning and Qualitative Research methods are both actively used in the Education academic and practitioner fields, very little research has been conducted on what happens when they are brought together. At the same time, while the importance of dispositions in a 21st century education is evident, very little research has been conducted on how to measure them. This project explores both of these intersections and brings them together to see what happens when we use qualitative coding and qualitative ethnographic methodologies to train a text classification algorithm for the purpose of measuring dispositional learning in student self reflection.