Oupiin America’s Post

𝙏𝙝𝙞𝙨 𝙞𝙨 𝙖 𝙨𝙚𝙢𝙞𝙣𝙖𝙡 𝙥𝙞𝙚𝙘𝙚 𝙤𝙛 𝙡𝙞𝙩𝙚𝙧𝙖𝙩𝙪𝙧𝙚 𝙛𝙤𝙧 𝙩𝙝𝙚 𝙘𝙪𝙧𝙧𝙚𝙣𝙩 𝙢𝙤𝙢𝙚𝙣𝙩 𝙤𝙛 𝘼𝙄 𝙞𝙣 𝙚𝙙𝙪𝙘𝙖𝙩𝙞𝙤𝙣. It is absolutely superb and balances both the risks and opportunities AI presents perfectly. We encourage everyone to read this article and reference it whenever you engage with AI tools. AI is impressive, but it is just another evolution of technology. We’ve gone through many before. Pedagogy comes first and we all need to adapt and evolve towards this goal. #ai #education #insight

Some anonymous benefactor has obviously just shared this post, and it’s currently clocking > 1000 views/hour in the US (thanks!) It has already pulled ahead as the most popular post on my blog this year out of 52 articles. Tells me a few things: - educators are interested in the debate over using AI to grade - there are many diverse perspectives - we’re all looking for answers - the US teaching cohort in particular has a lot of interest in the discussion In recent weeks I’ve seen articles about AI grading in Texas, the rise in free chatbots such as Khanmigo, and the constant tensions over teacher workload. AI grading is not the answer and in this article I explain my thoughts. I’m currently writing a follow up, and I’ll be including more of the counter arguments and possibilities. I’d encourage you to comment here, DM, or comment on the post itself if you want to join the conversation. #ai #aieducation #assessment https://lnkd.in/gtwXimRt

Imagine two students turning in essays for the same assignment. One is graded by an experienced educator with 20 years of disciplinary expertise. The other is evaluated by a newly graduated teaching assistant. Would you consider this fair? Probably not. Yet this is effectively the situation we are facing with the use of AI language models for assessing student work. Educators already have access to a wide range of models to assist with grading and feedback. But AI is not created equal. Some may use heavyweight models like GPT-4, while others rely on more basic apps built on cheaper models like GPT-3.5 Turbo. This disparity in AI capabilities creates an uneven playing field for students, with the quality and usefulness of feedback varying significantly depending on the tool used. Consistency and fairness in grading have always been challenging, even when done by human teachers. But the black box nature of AI models and the rapid pace of their development introduce new layers of complexity. Yesterday I posted about the issue of randomness and bias in generating grades. This is just another issue on top of the many problems with AI-grading. What are your thoughts on the use of AI in grading and assessment? https://lnkd.in/gtwXimRt #AI #aieducation

Important considerations to remember as we are all so excited at the potential AI has to offer in education, we must be sensitive to all points of view, develop of skills and real-world considerations. #IAMNCCE https://lnkd.in/eYesVdmZ

Great article from Fast Company on how AI might (one day) support better individualized and independent learning and help more students complete their studies. #education #highereducation #studentsuccess #AI

Generative AI has captured students' interest - with nearly half of college students reportedly using tools like ChatGPT. Despite this growing interest, students remain cautious when it comes to using these tools for learning. Are they right to maintain this caution? At what point can we encourage students to adopt broader trust in educational AI tools? #HigherEducation #EdTech #AI

Right on!!! There are many more ways to measure rhetorical skills that are aligned to course and program outcomes ; ones that also assess human-AI collaboration

I don't usually post blogs twice in one day but this is an important topic, and I felt like it warranted more discussion. Yesterday I made two posts on the use of AI in grading, arguing that we shouldn't use AI for evaluative, summative, numerical or letter based grading. Both posts obviously touched a nerve, both with those who are in favour of using AI to grade, and those against. I have explained my position in more detail in this article, and shared some of the comments both for and against that emerged through the earlier posts. But I am still firmly on the side of avoiding the use of AI for grading. Please read, share, and continue the discussion in the comments here: it has been great to see so many involved in the conversation. #AI #aieducation #aiassessment https://lnkd.in/gtwXimRt

"One professor recently told The Chronicle that an estimated 25 percent of his students were using gen AI in their assignments." Depending on the course, I feel that number increases significantly. The topic of Gen AI will be ongoing because no one really understands it's full potentials, pitfalls, and side effects. Also, due to it being in its infancy stages, we're still learning to manage and utilize it properly and effectly. What do you think? What do you feel is Gen AI's affect on higher education? Where do you see it's use and impact in 5-10 years? #genai #generativeai #highered #education #genaiandhighered

AI is here to stay.....learn how to harness and manage the growth of this essential tool.