"AI Is Here to Help, Not to Replace Anybody" says Researcher - Series 9 Episode 3
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Holy smokes, we missed the party that should have been Episode 100! So now we're going to have a belated party episode later. Oh well, this week's episode is not to be stopped, so yet again Dan and Ray discuss the most interesting research on the use of AI in Education from the recent publications. But before that we started with a quick news summary. All the links are here:

News California’s proposed law against AI replacing human professors https://www.universityworldnews.com/post.php?story=20240702214317879)   Animated AI Teaching Assistants Coming to Morehouse https://www.insidehighered.com/news/tech-innovation/artificial-intelligence/2024/07/09/animated-ai-tas-are-coming-morehouse)   Khanmigo for all! https://x.com/khanacademy/status/1813665014911316237) Sign up for Khanmigo for Teachers in English: blog.khanacademy.org/khanmigo-world)   Open AI https://techcrunch.com/2024/08/07/this-week-in-ai-openais-talent-retention-woes/) Research Papers SUMMATIVE EXAMS WITH THE USE OF CHATGPT: VISION OR REALISTIC ALTERNATIVE TO TRADITIONAL EXAMS? https://library.iated.org/view/BAUME2024SUM) Note that this paper is one of the few that I'll flag that's behind a journal paywall. If you don’t have access, I'd suggest asking the author, Matthias Baume from TUM), if he's happy to share a copy     The great detectives: humans versus AI detectors in catching large language model-generated medical writing https://edintegrity.biomedcentral.com/articles/10.1007/s40979-024-00155-6) Jae Q. J. Liu, Kelvin T. K. Hui, Fadi Al Zoubi, Zing Z. X. Zhou, Curtis C. H. Yu, Jeremy R. Chang, Arnold Y. L. Wong - The Hong Kong Polytechnic University Dino Samartzis, Rush University Medical Center     Leveraging Large Language Model as Simulated Patients for Clinical Education https://arxiv.org/abs/2404.13066) Yanzeng Li1 , Cheng Zeng2,3 , Jialun Zhong1 , Ruoyu Zhang1 , Minhao Zhang1 , Lei Zou1∗ 1Wangxuan Institute of Computer Technology, Peking University 2School of Computer Science, Wuhan University. 3CureFun Co.     Automated Assessment of Encouragement and Warmth in Classrooms Leveraging Multimodal Emotional Features and ChatGPT https://arxiv.org/abs/2404.15310)     "ChatGPT Is Here to Help, Not to Replace Anybody" -- An Evaluation of Students' Opinions On Integrating ChatGPT In CS Courses https://arxiv.org/abs/2404.17443) Bruno Pereira Cipriano and Pedro Alves Lusofona University, COPELABS, Lisbon, Portugal     Math Multiple Choice Question Generation via Human-Large Language Model Collaboration https://arxiv.org/abs/2405.00864) Jaewook Lee, Andrew Lan - University of Massachusetts Amherst Digory Smith, Simon Woodhead -  Eedi     ChatGPT in Data Visualization Education: A Student Perspective https://arxiv.org/abs/2405.00748) Nam Wook Kim, Grace Myers - Boston College; Hyung-Kwon Ko - KAIST; Benjamin Bach - INRIA     A Careful Examination of Large Language Model Performance on Grade School Arithmetic https://arxiv.org/abs/2405.00332)     Automated Generation of High-Quality Medical Simulation Scenarios Through Integration of Semi-Structured Data and Large Language Models https://arxiv.org/abs/2404.19713) Scott Sumpter CHSOS, Canadian Surgical Technology and Advanced Robotics, London Health Sciences Centre     Outsmarting Artificial Intelligence in the Classroom—Incorporating Large Language Model-Based Chatbots into Teaching https://publications.aaahq.org/iae/article/doi/10.2308/ISSUES-2023-064/12560) Juliane Wutzler, Worms University of Applied Sciences     University Students’ Self-Reported Reliance on ChatGPT for Learning: a Latent Profile Analysis https://www.sciencedirect.com/science/article/pii/S2666920X24000468) Ana Stojanov, Qian Liu , Joyce Hwee Ling Koh - University of Otage