"AI Is Here to Help, Not to Replace Anybody" says Researcher - Series 9 Episode 3
AI Education Podcast
Exploring AI Advancements and Educational Challenges
This chapter examines the latest developments in AI within educational environments, drawing from experiences at significant events in the field. It underscores the dichotomy of AI's benefits and drawbacks, particularly focusing on the critical need for equitable access and support for educators.
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 professorshttps://www.universityworldnews.com/post.php?story=20240702214317879
Animated AI Teaching Assistants Coming to 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
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