📚 𝗨𝗖𝗟𝗔 𝗶𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗲𝘀 𝗔𝗜-𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗲𝗱 𝗰𝗼𝘂𝗿𝘀𝗲 𝗺𝗮𝘁𝗲𝗿𝗶𝗮𝗹𝘀 UCLA is breaking new ground in winter 2025 with a comparative literature course featuring materials developed by AI. Covering literature from the Middle Ages to the 17th century, this course is developed by using #Kudu, a textbook platform created by UCLA professor Alexander Kusenko. 𝗖𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗰𝗼𝘂𝗿𝘀𝗲 𝘄𝗶𝘁𝗵 𝗞𝘂𝗱𝘂 Professor Zrinka Stahuljak provided Kudu with her lecture notes, PowerPoint slides, and YouTube videos from previous iterations of the course. Kudu then transformed this content into a complete package: textbooks, homework assignments, and TA tools. Creating the course takes about 3–4 months, but Kudu helps to streamline the process, requiring professors to dedicate no more than 20 hours to tasks like reviewing and editing materials. 𝗔𝗜 𝘄𝗶𝘁𝗵 𝗴𝘂𝗮𝗿𝗱𝗿𝗮𝗶𝗹𝘀 Unlike public tools like ChatGPT, Kudu operates in a controlled, closed-loop environment. It only responds to questions based on course content provided by the professor, ensuring academic integrity and reducing the potential for misuse. For #students, it offers a safe platform to ask questions anonymously—questions they might otherwise hesitate to ask in class—and provides answers drawn directly from the professor’s input. 𝗙𝗶𝗿𝘀𝘁 𝗼𝗳 𝗮 𝗸𝗶𝗻𝗱 Originally developed for UCLA science courses, Kudu’s expansion into the humanities demonstrates the platform’s versatility. Stahuljak’s course represents Kudu’s debut in UCLA’s Humanities Division, though the platform is already in use this term in a social sciences course Looking ahead, Stahuljak plans to use Kudu in additional courses, noting that the platform allows her to spend more time guiding students through primary texts and teaching essential skills such as critical thinking and analysis. Teaching assistants (TAs) will also have more capacity to help students improve their writing—a crucial yet often challenging element to address in large classes. #AIInnovation #ResponsibleAI #EthicalAI #EthicAI # #AIResearch #TechForGood #TrustworthyAI #AIinEducation #FutureOfLearning #UCLA #education #universities (🔗 to article in comments)
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💡 There seems to be an overlap between #AI_generated text and the writing styles of some students, particularly those who are neurodivergent or learning English as a second language. For students on the #autism spectrum, a clear and formulaic writing approach can mistakenly trigger AI detection tools. Given this, How can educators ensure fair assessments in an AI-influenced academic world?
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Worrying study here: Students' reliance on ChatGPT for academic tasks is linked to increased procrastination, memory loss, and lower academic performance. Conducted in two phases, the research found that high academic workload and time pressure lead to more ChatGPT usage, with negative effects on students' grades and cognitive functions. https://lnkd.in/eQgvKR86
ChatGPT linked to declining academic performance and memory loss in new study
psypost.org
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📢 Overcoming Barriers in Academic Writing: Insights from Dr. Isabel Fischer Jan Marco Leimeister and Andreas Janson hosted Isabel Fischer from the University of Warwick. Thank you, Isabel Fischer, for presenting your in-house AI-based feedback tool, designed to support students in improving their academic writing. Developed over four years, the tool leverages self-regulated learning principles through features like word clouds, section length comparisons, and knowledge graphs. Dr. Fischer discussed the tool's positive reception before the rise of generative AI models like ChatGPT and the evolving expectations of students since then. She highlighted the challenges of overcoming resistance when implementing such technologies, emphasizing not just technical but also social and ethical considerations. Her talk underscored the importance of technological support for first-generation students and the opportunity to break down educational barriers through thoughtful innovation. 👉 Read more about this inspiring talk here: [https://lnkd.in/dzTu8Nc2] #AcademicWriting #AIinEducation #DigitalInnovation #FeedbackTools #ResponsibleAI
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The British scholar and philosopher John Henry Newman wrote his most famous work, The Idea of a University, in the late 19th century, emphasizing the importance of education grounded in humanistic and liberal values. But what is the idea of a university, its "raison d'être," or reason for existence in the age of artificial intelligence and ChatGPT? How has the progress of ChatGPT changed the process of writing academic essays, and do we even need them in the current world? What threats does artificial intelligence pose and what dilemmas do academics at universities worldwide face? You can read about all this in our article published in the prestigious journal Bullseye, issued by the European Democrat Students. We wish you pleasant and inspiring reading! 🔗 Read the full article here: https://lnkd.in/eSURUqqH
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Research Diaries- Update 1: Remember the post I shared 2 days ago about the research I am conducting this semester on Self-Regulatory learning, AI and academic writing. I decided to share important updates from this research with you as we proceed. In this first update, I wanted to share with you the initial feedback received from my undergraduate research participants comparing different AI tools for academic writing support. In exploring Zapier, Poe, and ChatGPT, they discovered interesting differences in practicality and user experience. Interestingly, while most found Poe more practical than Zapier, ChatGPT emerged as their preferred choice (paid version!!). This exploration helped them understand various AI options before our research on self-regulated learning in academic writing get going. I'm tagging my dedicated student researchers - would love to hear one key insight from their comparison experience! Your thoughtful analysis is already contributing valuable perspectives to our study. Yağmur Geçim Emre Kaan Usta Arda Biçer Miray Erkoç Selin Çakıcı Zeynep Zilan Turunç Aslı Doğu #academicwriting #AIinEducation #undergraduateresearch #ESL
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AI detectors are proving to be unreliable, and this case is another instance reinforcing the idea that they shouldn’t be fully trusted. While AI-generated writing may have some typical characteristics, it still mirrors human writing in many ways—perhaps more systematic and standardized at times, but writing nonetheless. On the one hand, this new player (GenAI) on the academic scene may potentially raise the bar for writing assignments, pushing students to focus on higher-order thinking skills. In theory, this could improve criticality and analytical capabilities. However, it’s understandable that educators and institutions feel insecure at a time when these detection tools can’t reliably identify AI-generated content—especially as it means students' creative capabilities cannot be thoroughly discerned either. Perhaps this signals that higher education needs to explore genres and forms of assessment often ignored, which better measure criticality, analytical skills, and content creation in academic work. Personally, I don’t think higher education has taken significant steps to go beyond writing in education degrees. As we consider new assessment models, academia could benefit from leveraging both intertextuality and intermediality—the interaction between texts and across different media. Engaging students in projects that blend textual analysis with visual, auditory, or interactive media could be useful in capturing the depth of their critical and creative thinking. This integration would allow for more dynamic expressions of knowledge, pushing the boundaries of traditional academic inputs and outputs. Anyway, what are your thoughts? #AIinEducation #CriticalThinking #HigherEducation #AcademicIntegrity
AI Detectors Falsely Accuse Students of Cheating—With Big Consequences
bloomberg.com
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Want to hear some tips about publishing during your PhD journey? We recently spoke to two Griffith Institute for Educational Research PhD candidates, Yangsheng (Danson) Zheng & Nicola Stewart about their experience publishing in Computers and Education: Artificial Intelligence, a Q1 journal. Their paper is called Improving EFL students’ cultural awareness: Reframing moral dilemmatic stories with ChatGPT. The article considers how to effectively and ethically work with generative AI to produce culturally appropriate EFL teaching materials. https://lnkd.in/gjSphyRM Research at Griffith Griffith University #hdr #publishing #phd #education #research
How to publish- Tips from PhD candidates
https://blogs.griffith.edu.au/gierinsights
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Great summary of some key questions about GenAI from Florian Stöckel
After a recent talk on leveraging GenAI in higher education that I gave, two familiar questions came up: 1) How should we handle essays that show signs of being generated by GenAI? 2) What do we do when students know more about GenAI than the faculty? The first issue is tricky; the second perhaps not so much. First off, as far as I know there’s currently no tool that can reliably identify if an essay was written by GenAI. Accusing students without sound proof can lead to legal problems (more on this, see links below). Instead, what we can do is discuss expectations upfront. If a text seems like a copy-paste from ChatGPT, it’s likely because it’s written poorly or the style feels off—which is both bad style and bad GenAI usage. If used well, GenAI should enhance the style, not make it worse. If we can't legally flag GenAI usage reliably, it's probably better to avoid the dilemma altogether: either permit and support(!) GenAI (with the expectation that good usage should lead to excellent results both with regard to accuracy and style!) or design assessments that avoid its use, like closed-book exams or oral formats. As for students knowing more about GenAI than their instructors—I’m absolutely assuming they do! And I think it’s great. Importantly, though, there’s often a big disparity in skills within a classroom. We can use this to create a level playing field where students help each other learn, and where faculty can engage with students on more equal footing, as both faculty and students have unique knowledge to share. This kind of dialogue can bridge faculty concerns—like accuracy, citation practices, and biases—with practical insights from proficient users! ➡️ If your institution or department is having these debates and you'd find some external input helpful, please let me know. 🤝 Some resources that might be useful On inability to detect GenAI generated output reliably: https://lnkd.in/e62KS25R (slide 12 and onwards) https://lnkd.in/epSg9SEb For an intuition how GenAI output is created: https://lnkd.in/ep5djyZn https://lnkd.in/e3BsEueZ #GenAI #HigherEducation #TeachingWithAI #AIinEducation #GenerativeAI #EdTech #AcademicIntegrity #StudentLearning #FutureOfEducation #ArtificialIntelligence #FacultyDevelopment #DigitalLiteracy #LearningTogether #AIUsageInClassroom
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Please #share Join Our Webinar on Academic Integrity! 🔅Brains Vs BOTs: Navigating AI in the Academic World 🔅Date: 7th June 2024 🔅Time: 5pm - 7pm BST 🔅Location: bit.ly/BRAINSvsBOTSwebinar 🔅Where: Microsoft Teams As artificial intelligence (AI) becomes increasingly integrated into various aspects of academia, it presents both opportunities and challenges. This webinar will explore how students, educators, and institutions can uphold academic integrity in the age of AI. ✅ Key Discussion Points: * The impact of AI & the evolving landscape of plagiarism. * Strategies for maintaining academic integrity * The role of AI in detecting dishonest practices. * Case studies and practical insights from experts in the field. Panel: 1. Professor Mary Davis - A renowned scholar in educational integrity with extensive research on the implications of AI in education. 2. Dr. Tricia Bertram Gallant Bertram Gallant - A leading expert in academic ethics and integrity, known for her work on institutional policies and practices. 3. Miracle Ogba - A Chevening Scholar, Student Ambassador & Lawyer. Hosts: 1. Dr. Oluseun Ajayi - Programme Lead, Department of Real Estate, London Metropolitan University. Dr. Ajayi brings a wealth of knowledge in educational management and academic standards. 2. Sean Flynn - Executive Dean, School of Built Environment, London Metropolitan University. Sean Flynn is dedicated to fostering a culture of integrity and excellence within the academic community. Don’t miss this opportunity to hear from leading experts and gain valuable insights into preserving the integrity of our academic institutions. Participate at: bit.ly/BRAINSvsBOTSwebinar #AcademicIntegrity #AIinEducation #Turnitin #EdTech #AcademicEthics #ArtificialIntelligence #HigherEducation #Webinar #LondonMetUniversity #SBEN #EducationalIntegrity #AIandEthics
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Schools as they have been traditionally run are at an end. Students and teachers this school year will be challenged because of Large Language Models: 🎒 Research papers will be harder to cite 🎒 Accidental plagiarism will be rampant 🎒 Creativity will be on the decline 🎒 Novel classroom content is harder to come by 🎒 Teachers will have to adapt to more challenging situations 🎒 Students will need to refocus after a summer of dependance on AI ***BUT*** 🍏 Independent thinkers will stand out beyond academic achievement 🍏 Creative teachers will be recognized and awarded over test performance 🍏 The neurally-diverse will have their moment to shine 🍏 Stale, predictable curriculums will have to evolve 🍏 Standardized testing and accreditation will be challenged If you remove everything from a classroom curriculum that an AI can do, there is still something left, but it's up to the students to capitalize on that opportunity and the faculty to ensure students are able to take advantage in the classroom. It's time to think. More tomorrow. #AI #ArtificialIntelligence #LLM #School #BackToSchool #College #University #HigherEducation #DegreeProgram #Graduate #Bachelors #Masters #Doctorate #ElementarySchool #HighSchool #PublicSchools #Educators #Professors #Teachers
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Link to article: https://newsroom.ucla.edu/stories/comparative-literature-zrinka-stahuljak-artificial-intelligence