AI in Education: Opportunities and Risks | LinkedIn
As artificial intelligence becomes increasingly present in education, educators, administrators, and policymakers find themselves at a critical crossroads. The promises of AI in education are wide-ranging–personalized learning at scale, reduced teacher workload, and democratized access to knowledge.
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.
How will AI reshape academic employment? | THE Campus Learn, Share, Connect
The rise of AI in higher education highlights the need for academics to upskill and adapt to new roles and ways of working. Read about how to future-proof your career
I Wrote This - or Did I? Generative AI as a Key to Unlocking Neurodiverse Voices in Academia. | LinkedIn
Living most of my life with undiagnosed ADHD meant that writing always felt like having a brain racing at 100kph while the world expected me to crawl. It was a struggle to get across all the things I wanted to say while trying to express them through text.
This site is a resource designed for educators by educators, created to support the productive and responsible use of generative artificial intelligence in teaching and learning at the University of Sydney and beyond.
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.
A wonderful post from Dan Jones (link in comments) resonated with me and is a great reminder that teachers don't live in the AI bubble, and as a AI trainer, it is important to meet them where they are in their AI journey. The reality is, sometimes they are not even on the path yet.
OK. I've seen a lot of stuff about "AI Detectors" lately. Seriously, if you are still using an AI Detector, you are hurting yourself and your students. AI Detectors are:
1. Completely fallible—both directions. AI Detectors will tell you a student isn't using AI when they are, and they will tell you that a student is using AI when they aren't.
2. Easily fooled.
3. Discriminatory against ESL, disabled, and economically disadvantaged students.
4. Create an environment of mistrust that is not conducive to learning.
Here are the receipts:
“AI Detectors Don’t Work. Here’s What to Do Instead.” MIT Sloan Teaching & Learning Technologies, https://lnkd.in/eNbAfYED. Accessed 16 Feb. 2025.
Dugan, Liam, et al. RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors. arXiv:2405.07940, arXiv, 10 June 2024. arXiv.org, https://lnkd.in/e7z4racy.
Elkhatat, Ahmed M., et al. “Evaluating the Efficacy of AI Content Detection Tools in Differentiating between Human and AI-Generated Text.” International Journal for Educational Integrity, vol. 19, no. 1, 1, Sept. 2023, pp. 1–16. link.springer.com, https://lnkd.in/e6izJzkm.
Giray, Louie, et al. “Beyond Policing: AI Writing Detection Tools, Trust, Academic Integrity, and Their Implications for College Writing.” Internet Reference Services Quarterly, vol. 29, no. 1, Jan. 2025, pp. 83–116. Taylor and Francis+NEJM, https://lnkd.in/e53dW9GN.
Krishna, Kalpesh, et al. Paraphrasing Evades Detectors of AI-Generated Text, but Retrieval Is an Effective Defense. proceedings.neurips.cc, https://lnkd.in/e2V6ipxv. Accessed 5 Sept. 2024.
Liang, Weixin, et al. “GPT Detectors Are Biased against Non-Native English Writers.” Patterns, vol. 4, no. 7, 2023. Google Scholar, https://lnkd.in/eeCM8fnG.
Perkins, Mike, et al. Data Files: GenAI Detection Tools, Adversarial Techniques and Implications for Inclusivity in Higher Education. Mar. 2024. https://lnkd.in/eqy-EupN.
Rivero, Victor. “Beyond AI Detection: Rethinking Our Approach to Preserving Academic Integrity.” EdTech Digest, 5 Nov. 2024, https://lnkd.in/eGgQBXM5.
Sadasivan, Vinu Sankar, et al. Can AI-Generated Text Be Reliably Detected? arXiv:2303.11156, arXiv, 19 Feb. 2024. arXiv.org, https://lnkd.in/eCBvVPQy.
Weber-Wulff, Debora, et al. “Testing of Detection Tools for AI-Generated Text.” International Journal for Educational Integrity, vol. 19, no. 1, Dec. 2023, p. 26. arXiv.org, https://lnkd.in/e-uJDHbp.
Fatemeh Ranjbaran | 217 comments on LinkedIn
Copy of The Shift to Student-Led | Ongoing-Self-Assessment Document
Ongoing-Self-Assessment Think about the work you have completed this week. Select a specific piece of work to analyze and reflect on in-depth. Identify the skill or standard to which this particular piece of work aligns. What is the title of the assignment you are assessing? Provide a l...
Establishing Ongoing Student Self-Assessment in the Classroom
Say goodbye to excessive grading and embrace a student-led approach to learning. Discover the power of student self-assessment w/ UDL and Blended Learning
Unlock prompt optimization for models like GPT-4, ChatGPT and Midjourney. Generate and refine prompts to perfection, receiving improved outcomes in seconds.
AI is evolving at a rapid rate, and its implications for higher ed are changing in lock step. So, Michael and Jeff dove back into the topic at the Google Public Sector GenAI Live & Labs Conference with a panel of experts: Ann Kirschner of CUNY and ASU, Pace University’s Marvin Krislov, and Google’s Chris Hein. They discussed the necessity of an institutional AI strategy, the tech’s implications for the future of work, and why university partnerships will be essential to equity in the age of AI. This episode is made with support from Google.
What’s really going on with campus-wide AI adoption is a mix of virtue signaling and panic purchasing. Universities aren’t paying for AI—they’re paying for the illusion of control. Institutions are buying into the idea that if they adopt AI at scale, they can manage how students use it, integrate it seamlessly into teaching and learning, and somehow future-proof education. But the reality is much messier.
The Teaching AI Ethics series started as a single post covering the nine areas I’d identified as particularly important to education, from bias and discrimination to reinforcing societal power structures.
Turn Your Class Lessons into Engaging Podcasts with AI
Learn how to convert course material into podcasts using gen AI. These dynamic, conversational audio episodes allow students to engage with formats they are familiar with and level the playing field by helping them be better prepared for class discussion.
Why I'm using AI detection after all, alongside many other strategies | LinkedIn
I argued against use of AI detection in college classrooms for two years, but my perspective has shifted. I ran into the limits of my current approaches last semester, when a first-year writing student persisted in submitting work that was clearly not his own, presenting document history that showed
