Module 20: Sociological Approach to Learning Path Generation

Faculty Contact: John Mohr

Research Areas:

Abstract: UNESCO estimates that more than 59 million children of primary-school age do not have access to education. In order to teach these children today, 2.7 million additional teachers are needed. By 2030, an additional 25.8 million teachers are needed to meet world demand. Companies like Coursera, Khan Academy, Udacity and others are aiming to improve the availability of education to all. However much of this process still requires a significant amount of human interaction. With the huge amount of information available on the internet we can use this knowledge to alleviate the demand on the number of teachers. For this research, we will investigate the ability for computers to automatically generate a learning path to help an individual master a subject area. Through a literature review of papers in Sociology, this module investigates methods for extrapolating meaning from texts. The research evaluates possible means for translating how humans interpret texts into a computer algorithm.

Active Quarters:

Fall 2016: Yi Ding