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Work in Progress: Student-generated Material for Artificial Intelligence Course

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Conference

2020 ASEE Virtual Annual Conference Content Access

Location

Virtual On line

Publication Date

June 22, 2020

Start Date

June 22, 2020

End Date

June 26, 2021

Conference Session

Computing and Information Technology Division Technical Session 4

Tagged Division

Computing and Information Technology

Tagged Topic

Diversity

Page Count

9

DOI

10.18260/1-2--35685

Permanent URL

https://peer.asee.org/35685

Download Count

33

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Paper Authors

biography

Stephany Coffman-Wolph Ohio Northern University

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Dr. Stephany Coffman-Wolph is a Visiting Assistant Professor at Ohio Northern University in the Department of Electrical, Computer Engineering, and Computer Science (ECCS). Research interests include: Artificial Intelligence, Fuzzy Logic, Game Theory, Teaching Computer Science, STEM Outreach, Increasing diversity in STEM (women and first generation), and Software Engineering.

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Kimberlyn Gray West Virginia University Institute of Technology

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Dr. Kimberlyn Gray is an Assistant Professor at West Virginia University Institute of Technology in the department of Chemical Engineering. She coordinated STEM outreach for the Leonard C. Nelson College of Engineering and Sciences.

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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.

Coffman-Wolph, S., & Gray, K. (2020, June), Work in Progress: Student-generated Material for Artificial Intelligence Course Paper presented at 2020 ASEE Virtual Annual Conference Content Access, Virtual On line . 10.18260/1-2--35685

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