Beyond transparency in AI Beyond transparency in AI - LSE Higher Education
In a follow-up to her post on transparency in AI, LSE HE Blog Fellow Maha Bali brings together a range of voices that highlight various factors related to this issue: care, trust, human agency, criticality, and addressing systemic problems As part of my previous blogpost, When it comes to AI, is transparency enough?, I ran a survey to better
(352) Research: Human Graders Do Not Spot AI, Authentic Assessments Are No Shield
Plus, a Thai Police Colonel is busted cheating on an exam to be a Judge. Plus, a provost at WVU talks about academic integrity and AI in online classes.
How to Think About Writing in the Age of AI, with John Warner – Teaching in Higher Ed
John Warner shares about his latest book, More Than Words: How to Think About Writing in the Age of AI on episode 564 of the Teaching in Higher Ed podcast
Wonder Tools 🎨 7 ways to use ChatGPT's new image AI
OpenAI just made the most significant leap in image generation I've seen over the past year. You can now type a simple prompt using ChatGPT 4o and create a remarkable photo illustration, infographic, cartoon, or just about any other visual.
Easy AI for Educators: Simple Ways to Test How AI Can Help .pptx
Easy AI for Educators: Simple Ways to Test How AI Can Help Anna Mills, College of Marin A webinar for the California Virtual Campus Online Network of Educators March 24, 2025
How Universities Can Balance AI Challenges & Academic Integrity in 2025 - w/ Dr. Tricia Bertram Gallant, Director, Academic Integrity & Triton Testing, UC San Diego, & Author, The Opposite of Cheating
It's YOUR time to #EdUp In this episode, the 1st of our Academic Integrity Series, sponsored by Pangram Labs (they will be having a w…
A collection of articles from leading educators and researchers, supported by the William and Flora Hewlett Foundation in partnership with Etika Insights. These comprehensive examinations of AI’s role in education, highlight both opportunities and risks while emphasizing the importance of responsible implementation.
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
