A Different Way to Think About AI and Assessment

Danny Liu shares a different way to think about AI and assessment on episode 584 of the Teaching in Higher Ed podcast.






Quotes from the episode







Our students are presented with this massive array of things they could choose from. They may not know the right things to choose or the best things to choose. And our role as educators is to kind of guide them in trying to find the most healthy options from the menu to choose from.

-Danny Liu



People want to give their students clarity. They want to give their students a bit of guidance on how to approach AI, what is going to be helpful for them for learning and not helpful for learning.

-Danny Liu



There is no way to really know if the rules that you’re putting in place are going to be followed by students, and it doesn’t mean that we need to detect them or surveil them more when they’re doing their assignments.

-Danny Liu



We need to accept the reality that students could be using AI in ways that we don’t want them to be using AI if they’re not in front of us.

-Danny Liu



Not everyone lies. Most of our students want to do the right thing. They want to learn, but they have the temptation of AI there that is saying, I can do this work for you. Just click, just chat with me.

-Danny Liu



Our role as teachers is not to be cops, it’s to teach and therefore to be in a position where we can trust you and help you make the right choice.

-Danny Liu









Resources




• Menus, not traffic lights: A different way to think about AI and assessments, by Danny Liu (https://educational-innovation.sydney...)


• Talk is cheap: why structural assessment changes are needed for a time of GenAI, by Thomas Corbin,Phillip Dawson, &Danny Liu (https://www.tandfonline.com/doi/full/...)


• What to do about assessments if we can’t out-design or out-run AI? by Danny Liu and Adam Bridgeman (https://educational-innovation.sydney...)


• Course: Welcome to AI for Educators from the University of Sydney (https://canvas.sydney.edu.au/courses/...)


• Whitepaper: Generative AI in Higher Education: Current Practices and Ways Forward, by Danny Y.T. Liu, Simon Bates (https://www.apru.org/resources_report...)


• Five myths about interactive oral assessments and how to get started, by Eszter Kalman, Benjamin Miller and Danny Liu (https://educational-innovation.sydney...)


• Interactive Oral Assessment in practice, by Leanne Stevenson, Benjamin Miller and Clara Sitbon (https://educational-innovation.sydney...)


• ‘Tell me what you learned’: oral assessments and assurance of learning in the age of generative AI, by Meraiah Foley, Ju Li Ng and Vanessa Loh (https://educational-innovation.sydney...)


• Interactive Oral Assessments: A New but Old Approach to Assessment Design from the University of South Australia (https://blog.une.edu.au/academicinteg...)


• Interactive oral assessments from the University of Melbourne (https://www.unimelb.edu.au/tli/news/a...)


• Long live RSS Feeds (   • RSS in Plain English  )


• New AI RSS Feed (https://bg.raindrop.io/rss/public/314...)


• New AI RSS Page (https://raindrop.io/bonni/ai-31489371)


• Broken: How Our Social Systems are Failing Us and How We Can Fix Them by Paul LeBlanc (https://bookshop.org/a/79174/97816377...)