At Stanford, we recently placed three computer science courses online, using a similar format. Remarkably, in the first four weeks, 300,000 students registered for these courses, with millions of video views and hundreds of thousands of submitted assignments.
What can we learn from these successes? First, we see that video content is engaging to students — many of whom grew up on YouTube — and easy for instructors to produce.
Second, presenting content in short, bite-size chunks, rather than monolithic hourlong lectures, is better suited to students’ attention spans, and provides the flexibility to tailor instruction to individual students. Those with less preparation can dwell longer on background material without feeling uncomfortable about how they might be perceived by classmates or the instructor.
Conversely, students with an aptitude for the topic can move ahead rapidly, avoiding boredom and disengagement. In short, everyone has access to a personalized experience that resembles individual tutoring.
Watching passively is not enough. Engagement through exercises and assessments is a critical component of learning. These exercises are designed not just to evaluate the student’s learning, but also, more important, to enhance understanding by prompting recall and placing ideas in context.
Moreover, testing allows students to move ahead when they master a concept, rather than when they have spent a stipulated amount of time staring at the teacher who is explaining it.
For many types of questions, we now have methods to automatically assess students’ work, allowing them to practice while receiving instant feedback about their performance. With some effort in technology development, our ability to check answers for many types of questions will get closer and closer to that of human graders.
Theron DesRosier on 08 Dec 11This is the tool used to moderate questions during Obama's campaign. It is also used to some extent in the Stanford AI course. This tool allows the community to moderate the questions that it thinks are most important to answer. In the case of Stanford AI, the highest rated questions receive video responses by the faculty.