AI in Education Podcast

"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

 

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AI in Education PodcastBy Dan Bowen and Ray Fleming

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