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  • 1.  How are OR/OM faculty assessing students in an AI world?

    Posted 2 days ago
    Edited by Chihmao Hsieh 2 days ago

    Hi all:  I'm a management professor scheduled to teach OM next semester, for the first time in about 6 years.  Six years ago, there was no such thing as AI use in the classroom/mainstream.  I didn't have to worry so much about the effects of cheating on the accuracy of assessment when it came to homework assignments.  Yes, it was possible for students to copy each other, but my best students tended not to let other students copy them, and my mediocre students ended up just letting other mediocre students copy... by the middle of the semester, a lot of my students gave up on cheating by copying classmates' work.

    However, nowadays, of course, students can try inputting their homework into something like ChatGPT and get a decent amount of credit for submitting that "work".

    Just as in my OB class, which I have taught during this AI age, I'm thinking about doing away with homework sets, and just using quizzes to test their ability to recognize OM situations and to identify the basic steps to solve them.

    Certainly, one alternative could be to just severely reduce the weights of homework sets, to maybe 20% of the total course grade, and then heavily weight quiz and exam scores.

    How are you all managing the assessment for students in your OM courses?  I really could use some advice.  Are you still giving them homework sets and asking them to show their calculations?  Or are you assessing them in some other way?

    C. Hsieh
    Assoc Prof
    SUNY Korea



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  • 2.  RE: How are OR/OM faculty assessing students in an AI world?

    Posted 18 hours ago
    Dear Prof.Hsieh,

    In my courses, I use a combination of assessment methods, including
    in-person examinations, exercise submissions, class attendance, and a
    team project that takes the form of a competitive action learning
    game. For the team project report, I require students to disclose any
    use of AI tools. Because the report focuses on how their team engaged
    with the game and applied operations management concepts to achieve
    successful outcomes, their performance can still be effectively and
    fairly assessed, even with AI use documented.

    Regards,

    Prof. Antonio Lau
    Kyung Hee University, Seoul, Korea


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