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