AIED Human-AI Tutoring 2023
Towards the Future of AI-augmented Human Tutoring in Math Learning 2023

Table of Contents

• Summary of “Towards the Future of AI-augmented Human Tutoring in Math Learning”, Proceedings Preface
  Danielle R. Thomas, Vincent Aleven, Richard Baraniuk, Emma Brunskil, Scott Crossley, Dora Demszky, Stephen Fancsali, Shivang Gupta, Steve Ritter, Simon Woodhead, Wanli Xing, Kenneth Koedinger

Papers

• Orchestrating Classrooms and Tutoring with Carnegie Learning’s MATHia and LiveLab 1-11
  Stephen E. Fancsali, Michael Sandbothe, Steve Ritter
• Using Large Language Models to Provide Explanatory Feedback to Human Tutors 12-23
  Jionghao Lin, Danielle R. Thomas, Feifei Han, Shivang Gupta, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger
• Face Readers: The Frontier of Computer Vision and Math Learning 24-36
  Beverly Woolf, Margrit Betke, Hao Yu, Sarah Adel Bargal, Ivon Arroyo, John Magee, Danielle Allessio, William Rebelsky
• Comparative Analysis of GPT-4 and Human Graders in Evaluating Human Tutors Giving Praise to Students 37-48
  Dollaya Hirunyasiri, Danielle R. Thomas, Jionghao Lin, Kenneth R. Koedinger, Vincent Aleven
• Does ChatGPT Comprehend the Place Value in Numbers When Solving Math Word Problems? 49-58
  Jisu An, Junseok Lee, Gahgene Gweon
• ITS Unplugged: Leapfrogging the Digital Divide for Teaching Numeracy Skills in Underserved Populations 59-65
  Thomaz Edson Veloso da Silva, Geiser Chalco Challco, Luiz Rodrigues, Fabiana Maris Versuti, Rodolfo Sena da Penha, Lívia Silva Oliveira, Guilherme Corredato Guerino, Luis Felipe Cavalcanti de Amorim, Marcelo Luiz Monteiro Marinho, Valmir Macario, Diego Dermeva, Ig Ibert Bittencourt, Seiji Isotani