AI

There’s a lot out there from folks trying and suggesting and selling ways for teachers to put their fingers in the dike holding back the allegedly inevitable AI tide.

Students – and all manner of professionals – are tempted to outsource their thinking to AI, which threatens to undermine learning and credibility. A philosophy professor offers a solution.

AI-text-detectors can be evaded using simple tricks in academic writing, as repeatedly shown by folks like Dr Mike Perkins and Dr Mark A. Bassett. Advice for how to do this is abundant on YouTube, in videos aimed at students, viewed millions of times. Some videos are about how to ‘cheat’, but others have more positive titles like ‘how to study with AI’. Is there any point trying to stop students using AI to write essays? Or even any value to using asynchronous written essays as summative assessments?   New paper from the great Tomas Foltynek and some bloke called Phil Newton   https://rdcu.be/eKCko

ChatGPT and other language models can be your new study buddies.

Anxieties around AI and punctuation say a lot about academia, Joseph Mellors writes.

When it comes to AI in education, I've been seeing more and more conversations pop up about how we can prevent cheating, or even if that's possible anymore. But what if, in our focus on anti-cheating practices, we're missing something deeper? Something that has been on my mind even more than the iss

Presenter: Chris Ostro, University of Colorado – BoulderDescription: In the last few years many tools have quickly emerged that can successfully complete man...

Like so many things in our world, our well-intentioned efforts to solve one problem usher in a legion of new challenges, and AI detection is no different.

Learning requires friction. Here’s how to get students to disclose and evaluate their own usage of tools like ChatGPT.

It is worthwhile spending some time on social media to see the relentless bombardment faced by students from influencers peddling AI tools that straddle the line between aiding study and blatantly enabling cheating. These influencers flourish is contradictions and promise the moon: complete your homework in five minutes flat, forget about ever attending another lecture, let AI take up the pen for you. In each pitch, the essence of learning is overshadowed by a pervasive call to save time. Welcome to the dizzying world of AI influencer culture, where the pursuit of profit drives companies to use influencers as direct conduits to push their products onto students.

Or, a critical AI literacy argument against AI text detectors.

And does better than you might think!

With the release of ChatGPT in November 2022, the field of higher education rapidly became aware that generative AI can complete or assist in many of the kinds of tasks traditionally used for assessment. This has come as a shock, on the heels of the shock of the pandemic. How should assessment practices change? Should we teach about generative AI or use it pedagogically? If so, how? Here, we propose that a set of open educational practices, inspired by both the Open Educational Resources (OER) movement and digital collaboration practices popularized in the pandemic, can help educators cope and perhaps thrive in an era of rapidly evolving AI. These practices include turning toward online communities that cross institutional and disciplinary boundaries. Social media, listservs, groups, and public annotation can be spaces for educators to share early, rough ideas and practices and reflect on these as we explore emergent responses to AI. These communities can facilitate crowdsourced curation of articles and learning materials. Licensing such resources for reuse and adaptation allows us to build on what others have done and update resources. Collaborating with students allows emergent, student-centered, and student-guided approaches as we learn together about AI and contribute to societal discussions about its future. We suggest approaching all these modes of response to AI as provisional and subject to reflection and revision with respect to core values and educational philosophies. In this way, we can be quicker and more agile even as the technology continues to change. We give examples of these practices from the Spring of 2023 and call for recognition of their value and for material support for them going forward. These open practices can help us collaborate across institutions, countries, and established power dynamics to enable a richer, more justly distributed emerging response to AI.

Does your university or program have a statement on AI and writing? Would you drop a link below?— John Gallagher (@MereSophistry) July 11, 2023

If an algorithm is the death of high school English, maybe that's an okay thing.

I've been in convos recently with teachers about writing bots & I'd urge all teachers to learn how they work so that you and your students can use these tools productively and responsibly.they're not going away.and they are powerful.here's the rephrase menu option for example: https://t.co/AH9SUrzmDx pic.twitter.com/BTAyYzbbow— Laura Gibbs (@OnlineCrsLady) October 13, 2022