Open Models for Just-in-Time Learning Pathway Recommendations

We explored the need for automated curriculum alignment in crisis contexts, and the possible role of artificial intelligence (AI) in recognizing curricular mandates and patterns, and recommending pertinent educational content in return. This work is part of a broader collaboration working with refugees and partner organizations to explore utilizing digital education to support learning in these contexts. The Design2Align series has included discussion of contextual display and creation of metadata, teacher-generated content annotations, and the technical considerations in OER for curriculum alignment facilitation. We're delighted to introduce the fourth installment of the blog series by our co-founder and Executive Director, Jamie Alexandre. Jamie discusses how user data from multiple open platforms could be used to train machine learning models, in order to optimize recommendations to teachers of contextually relevant learning pathways for their students. Our table brought together participants from diverse backgrounds and skill sets, spanning government, foundations, the tech industry, education nonprofits, and UN agencies, which made for some lively debates!