AI Education
AI Education
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I have hosted two different workshops on incorporating AI in Education over the past year on Prompt Engineering and AI for Course Management, respectively.
AI for Course Management Workshop
AI for Course Management Workshop
This virtual workshop through MSU discussed methods Artificial Intelligence can streamline and automate course management tasks. This includes the using AI to design rubrics, assignments, and grading feedback through the intentional, careful drafting of prompts. This workshop was held on zoom with an intentionally relaxed atmosphere, intentionally allowing discussion and acknowledging some of the participants might have more or different expertise than me.
Most of the discussion was centered around how to best utilize AI to make the instructor's life easier while maintaining (or improving) instructional quality. AI doesn't always make the students' learning better or easier, and doesn't have a role for every task in course management; however, there are some tasks that AI can make more efficient.
I'm sure that the AI landscape will continue to shift and grow quickly, with new models with a more customized, discipline-specific audience. In doing so, I hope that these models will become even more helpful in course management; however, caution will need to be deployed to ensure changes are equitable and truly conducive to the students' learning.
AI for Course Management.pptxSlides used in the workshop
Slides used in the workshop
Prompt Engineering Workshop
Prompt Engineering Workshop
This workshop discussed examples of teaching prompt engineering—the impact of phrasing used in the query of a large language model like ChatGPT—while remaining on topic and schedule within a pre-established course. AI isn't going away, and students will continue to use it. Furthermore, it is almost impossible to enforce the prohibition of AI, especially on out-of-class assignments.
AI is a wonderful tool, but students need to know how to use it. Similar to when the internet and handheld calculators became common, AI is useful but not an one-size-fits-all solution. Incorporating the usage of AI and specifically prompt engineering guides students on building intuition to both the course content as well as using AI in general.
Prompt Engineering Assignments.pptxAll material used during the workshop, including slides, an example prompt engineering assignment for a 100-level physics course, and then a solution key for that assignment.
All material used during the workshop, including slides, an example prompt engineering assignment for a 100-level physics course, and then a solution key for that assignment.
prompt_engineering_assignment.docxprompt_engineering_solution_key.docxPracticing What I Preach
Practicing What I Preach
Of course, I have used AI in my own teaching, primarily for course management such as formatting rubrics and creating study guide material.
The study guide material can be found here, which was created by instructing the agent to list all definitions, theorems, propositions, and lemmas found within the chapters to be tested on their midterm. I then utilized AI to create questions from the study guide and format this into a flashcard-style slide deck. I then manually inputted these questions into Kahoot based on feedback from students. This was discussed in further detail on my CMSE 382 page, but in short, was met with great appreciation and demonstrated improved results.
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