Measure Outcomes

Building Quiz Questions

This video offers several demonstrations on different ways to leverage AI to generate quiz questions. Low-stakes practice quizzes are a great way for students to recall course concepts to reinforce their learning and raise their self-awareness. The feedback they receive from these opportunities can help them correct any misunderstandings and better prepare for other higher-stakes course assessments. Before leveraging AI, instructors should first determine the scope of the quiz and overall learning objectives, as well as gather any relevant course materials they may wish to input. Additionally, they should determine the parameters of the quiz questions (e.g., type(s) of questions, number of questions, level of difficulty, topics to cover). The sample prompts used in the video are provided below, and can be adapted for each course context.

Example prompt 1 (quiz based on a topic): You are teaching a graduate-level course on the science of learning, and students have learned about active learning. Generate a quiz that asks five multiple choice questions and one short answer question to assess students’ understanding of active learning. Be sure to include the answers to each of the questions. 

Example prompt 2 (quiz based on course reading): Using the attached reading, create a quiz that asks students 5 multiple choice questions. This is for a graduate level course on the science of learning, and the quiz should gauge students’ understanding of the text. Be sure to include an answer key.

Example prompt 3 (alternative version of quiz based on previous quiz): Generate a new practice quiz based on the original quiz content provided. The practice quiz should include questions that are similar in difficulty and cover the same topics. Provide the correct answers for each question.