Using advanced sensing and artificial intelligence technologies, we are investigating new ways to assess project-based activities, examining students' speech, gestures, sketches, and artifacts in order to better characterize their learning over extended periods of time. Particularly aimed at assessing important skills that are currently hard to assess: creativity, innovation, critical thinking, problem solving, communication, and collaboration. And this is even more challenging in large scale learning environments. Using sensing and data mining technologies could make it possible to capture and analyze massive amounts of process data of classroom activities. https://tltl.stanford.edu/project/multimodal-learning-analytics

About the Course: In this eleven-week course you'll learn about the tools used by scientists to understand complex systems. The topics you'll learn about include dynamics, chaos, fractals, information theory, self-organization, agent-based modeling, and networks. You'll also get a sense of how these topics fit together to help explain how complexity arises and evolves in nature, society, and technology. There are no prerequisites. You don't need a science or math background to take this introductory course; it simply requires an interest in the field and the willingness to participate in a hands-on approach to the subject.