Intelligent Augmentation for Teachers with Algorithmic Understanding of Student Comprehension of Computer Science Concepts

In a previous project, the company developed, and pilot tested a high school-level computer science intervention for remote teaching and learning with live and pre-recorded lectures describing hands-on activities and online exercises. The project team will develop a prototype of a Machine Learning dashboard to track student learning progressions in computer science and generate fine-grained pedagogical recommendations that educators can use to inform practice. At the end of Phase I, the project team will conduct a pilot study with four educators and 250 high school students to test if the prototype functions as intended, and if the machine learning component generates information that educators find useful for providing individualized information about how students are learning.