COLUMN: Letter from the Editors
Exploring the Frontiers of Machine Learning in Education
By Jiayi Li
Magazine: Fall 2024 | Volume 31, No. 1
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DEPARTMENT: Milestones
Classroom Technology, AI, and How They Came to Exist Together
By Frank Schotanus
DEPARTMENT: Updates
Empowering Future Engineers: ACM HSG's Google Tech Talk at SQUARE
By Mehak Preet
SECTION: Features
OPEN ACCESS
On the Promising Path of Making Education Effective for Every Student
Traditional classroom teaching is an example of scaling education with a one-size-fits-all strategy, but modern machine learning algorithms are promised to adapt and personalize for each student. Can we succeed and what are the harms and benefits of introducing AI into the classroom?
By Allen Nie
OPEN ACCESS
From Artificial Mentors to Simulated Subjects: Using Artificial Intelligence to Support Agency in Student-Driven Project-Based Learning
Turning passions into projects is difficult. Could AI tools provide students with the interruption, suspension, and sustenance they need to want to stay with the difficulty?
By Gati Aher
OPEN ACCESS
AIstory-bot: An AI-Based Digital Story Writing Platform for Children
AIstory-bot, a text-based chatbot designed to teach students about artificial intelligence (AI), guides students through creative writing activities that provide an inquiry-based, interactive storytelling experience to enhance young learners' engagement, motivation, and efficacy toward AI.
By Ariel Han, Shenshen Han
Understanding the Role of AI in Helping University Students Manage Their Psychological Wellbeing
University students face numerous challenges in maintaining their psychological wellbeing. How can we leverage emerging AI tools and algorithms to help them navigate these challenges?
By Ananya Bhattacharjee
OPEN ACCESS
Harnessing Machine Learning and Generative AI: A New Era in Online Tutoring Systems
Discover how the convergence of machine learning and generative AI is revolutionizing online tutoring, enabling systems that evolve to become better teachers--continuously refining their instructional methods based on student data and feedback.
By Robin Schmucker
OPEN ACCESS
Ethics, Governance, and User Mental Models for Large Language Models in Computing Education
Large language models like ChatGPT are disrupting many industries, including computing education. How should policy evolve to improve learning outcomes?
By Kyrie Zhixuan Zhou, Zachary Kilhoffer, Madelyn Rose Sanfilippo, Ted Underwood, Ece Gumusel, Mengyi Wei, Abhinav Choudhry, Jinjun Xiong
Do I Have a Say in This, or Has ChatGPT Already Decided for Me?
It's not just about LLMs, it's about us too.
By Aadarsh Padiyath
Improving Instructional Materials with Large Language Models
In this interview, Joy He-Yueya discusses her work on using GPTs to evaluate the quality of instructional materials, how GPTs compare to human evaluators, and the implications of using these models.
By Bingbin Liu, Joy He-Yueya
DEPARTMENT: Labz
VISIONS of Accessibility: Human-AI Lab (HAIL), University of Michigan
By Ellie Seehorn, Jaylin Herskovitz
DEPARTMENT: Hello World
Harnessing the Power of Optimization: Vehicle Routing Problems in Logistics and Distribution
By Pavithra Sripathanallur Murali