Student generated material for artificial intelligence course (Work-In-Progress)

Abstract

Students often learn material more deeply by teaching it to other people. Therefore, the authors will modify an existing Artificial Intelligence (AI) course to include a new type of regular assignment: student-generated videos which will allow the students to be value creators within the course. Upper-level students will be creating 5-10-minute video lessons on introductory artificial intelligence topics as part of their regular homework during the course. The student videos will be shared with the other students in the course as both alternative lecture materials on these introductory subjects and to provide feedback. Students will be surveyed pre, mid, and post on their enjoyment of the homework assignments, if they videos improved learning, if they felt they learned from watching videos by other students, if they learn topics from videos, and if they like the format of the course. The authors believe that this addition to the course fosters many of the student objectives/outcomes for an entrepreneurial mindset. Currently, the authors are gathering preliminary feedback and data for a planned multiple semester longer term project. This paper contains (1) motivation and goals for this work, (2) outcomes and learning objectives, (3) instructions on how to design this kind of assignment, (4) the video assignment write up, (5) the rubric for the video, (6) the rubric for peer feedback, and (7) the rubric for reflection. This paper focuses on the structure and instruments used during the course.