The Learning Analytics program prepares graduate students to make data-driven decisions about education using quantitative methods drawn from computer science, statistics, and cognitive science. We study the "big data" generated by online and digital learning environments and develop new insights that benefit students, teachers, and administrators. Our students learn analyses methods through coding, statistical model building, and visualization as well as relevant policy, legal, and ethical issues involved in conducting analysis on education data. Graduates of our masters program pursue jobs in educational technology companies and startups, think tanks, and governmental data groups.
Our students complete an integrative capstone project that draws on the perspectives and skills acquired during their studies.
Anna and Xixuan investigated how learning design principles can be used to assign difficulty levels within an online educational math game at Teachley.
Lena and Mandy developed a personalized learning strategy including data and UX design at Learnabi.
Sherry and Victoria designed a system for automated recommendations of project based learning lessons for teachers at Camino Education.