Just-in-Time Teaching (JiTT) is a pedagogical practice first developed to help non-traditional students improve their learning and has since been adapted into many different teaching contexts. The backbone of JiTT involves students completing an online assignment, called a warm-up, based on an assigned reading. Students have up until a few hours before class starts to complete the assignment. In those few hours the instructor reviews student responses and adapts their plan for the class according to the students’ current knowledge level. This paper describes the implementation of JiTT in an undergraduate Mechanical Engineering Mechanics of Materials course, with the goal of using JiTT to help students achieve learning objectives on the lower end of Bloom’s taxonomy before class. Short answer type questions for learning objectives on the understand level of Bloom’s taxonomy and multiple choice questions for learning objectives on the analyze level are shown to moderately achieve this goal. The feedback loop between students and instructor proved instrumental in determining how to best use class time to support student learning. Recommendations for best practices, including how ChatGPT can be leveraged to quickly summarize student responses, based on the instructor’s experience and student feedback are given.
Are you a researcher? Would you like to cite this paper? Visit the ASEE document repository at peer.asee.org for more tools and easy citations.