Clients often ask me about how to quiz for information recall within a video.
For many, the default response to this is to implement a technology fix — embed an actual quiz in the video. This can be effective in some cases, but its implementation often sidesteps broader and more important learning design questions. What kind of information is being presented? How much information has been presented before the moment of recall? What is the purpose of the information recall?
In general, I like to begin by asking myself how I would conduct the knowledge-check quiz in other contexts (non-video)? What if i were presenting in face-to-face environments, such as a workshop or a small graduate seminar? In other words, how might I do this if there were no video. The answer is that I would probably ask a combination of live questions at regular intervals, sometimes with the expectation of actual answers, and sometimes doing it simply as a quick summary technique. These are actually good, low-stakes approaches to use with video as well.
The keys to this type of quizzing are to do it at regular intervals and to scaffold the questions so that they provide both an opportunity for low-stakes, spaced recall by learners as well as a reinforced, structured review of information throughout the presentation.
The learning environment model (LEM) below provides a pattern for this. This pattern can be repeated multiple times within a 5-minute video. It begins with the presentation of a concept, followed by a series of general reflection questions/simulated responses by the instructor. The purpose of these questions is to further contextualize the concept for the learner, and to promote personal knowledge application. The next step is to provide additional elaboration of the concept. At this point, we want to introduce a quick knowledge check in the form of simple questions, much like you might ask a classroom of students. Ask a question, pause for a moment of thought, and then provide the answer. This allows viewers to test their knowledge in a low-stakes environment, but also to have the answer/information reinforced.