Automatic Generation of Visual Assessments for Early Childhood Learning
This first of its kind industry collaboration brought together IBM Research and Sesame Workshop to build a cognitive vocabulary learning app for young children. As a Machine Learning research engineer, I worked alognside primary school teachers and early childhood learning experts to automatically generate picture-based quiz questions at varying difficulty levels. This project pioneered the use of AI to generate pedagogically appropriate visual assessments that adapt to each child's vocabulary range.
Methods
Key Findings
Creating visual MCQs at varying difficulty levels is highly time-consuming for educators, with sourcing pedagogically appropriate images consuming a lot of their time. Our approach automated this end-to-end, by developing technology that could automatically generate picture-based assessment questions at well-calibrated difficulty levels without sacrificing pedagogical quality.
Impact
Contributed to industry's first cognitive vocabulary learning app for young children, in collaboration between IBM Research and Sesame Workshop.