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ORCIDXRDS, Volume 31
Volume 31, Number 1, Fall 2024
- Jiayi Li:
Exploring the Frontiers of Machine Learning in Education. 5
- Bingbin Liu:
Large Language Models in Education Embracing Opportunities, Confronting Challenges, and Shaping the Next Chapter Together. 7-9
- Jiayi Li:
Navigating the Academic Path: Insights from Professor Jens Palsberg. 10-11
- Frank Schotanus:
Classroom Technology, AI, and How They Came to Exist Together. 11
- Mehak Preet:
Empowering Future Engineers: ACM HSG's Google Tech Talk at SQUARE. 12-13
- Allen Nie:
On the Promising Path of Making Education Effective for Every Student. 14-19 - Gati Aher:
From Artificial Mentors to Simulated Subjects: Using Artificial Intelligence to Support Agency in Student-Driven Project-Based Learning. 20-25 - Ariel Han, Shenshen Han:
AIstory-bot: An AI-Based Digital Story Writing Platform for Children. 26-31 - Ananya Bhattacharjee:
Understanding the Role of AI in Helping University Students Manage Their Psychological Wellbeing. 32-39 - Robin Schmucker:
Harnessing Machine Learning and Generative AI: A New Era in Online Tutoring Systems. 40-45 - Kyrie Zhixuan Zhou, Zachary Kilhoffer, Madelyn Rose Sanfilippo, Ted Underwood, Ece Gumusel, Mengyi Wei, Abhinav Choudhry, Jinjun Xiong:
Ethics, Governance, and User Mental Models for Large Language Models in Computing Education. 46-51 - Aadarsh Padiyath:
Do I Have a Say in This, or Has ChatGPT Already Decided for Me? 52-55 - Bingbin Liu, Joy He-Yueya:
Improving Instructional Materials with Large Language Models. 56-58
- Ellie Seehorn, Jaylin Herskovitz:
VISIONS of Accessibility: Human-AI Lab (HAIL), University of Michigan. 60-61
- Zhongxuan He:
The Journey of LLMs in Education. 61
- Pavithra Sripathanallur Murali:
Harnessing the Power of Optimization: Vehicle Routing Problems in Logistics and Distribution. 62-65
- Lynette Ng:
LLMS In Education. 66-70
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