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Human-AI Math Tutoring@AIED 2023: Tokyo, Japan

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  - conf/aied/2023math
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Danielle R. Thomas, Jionghao Lin, Kenneth R. Koedinger:
Proceedings of the Workshop "Towards the Future of AI-augmented Human Tutoring in Math Learning" co-located with The 24th International Conference on Artificial Intelligence in Education (AIED 2023), Tokyo, Japan, July 3, 2023. CEUR Workshop Proceedings 3491, CEUR-WS.org 2023
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  dblp key:
  - conf/aied/FancsaliS023
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Stephen E. Fancsali, Michael Sandbothe, Steven Ritter:
Orchestrating Classrooms and Tutoring with Carnegie Learning's MATHia and LiveLab. 1-11
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  - conf/aied/LinTHGTNK23
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Jionghao Lin, Danielle R. Thomas, Feifei Han, Shivang Gupta, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger:
Using Large Language Models to Provide Explanatory Feedback to Human Tutors. 12-23
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  dblp key:
  - conf/aied/WoolfBYBAMAR23
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Beverly P. Woolf, Margrit Betke, Hao Yu, Sarah Adel Bargal, Ivon Arroyo, John J. Magee, Danielle Allessio, William Rebelsky:
Face Readers: The Frontier of Computer Vision and Math Learning. 24-36
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  - conf/aied/HirunyasiriTLKA23
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Dollaya Hirunyasiri, Danielle R. Thomas, Jionghao Lin, Kenneth R. Koedinger, Vincent Aleven:
Comparative Analysis of GPT-4 and Human Graders in Evaluating Human Tutors Giving Praise to Students. 37-48
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Jisu An, Junseok Lee, Gahgene Gweon:
Does ChatGPT Comprehend the Place Value in Numbers When Solving Math Word Problems? 49-58
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Thomaz Edson Veloso da Silva, Geiser Chalco Challco, Luiz Rodrigues, Fabiana Maris Versuti, Rodolfo Sena da Penha, Lívia Silva Oliveira, Guilherme Corredato Guerino, Luís Felipe Cavalcanti de Amorim, Marcelo Luiz Monteiro Marinho, Valmir Macario, Diego Dermeval, Ig Ibert Bittencourt, Seiji Isotani:
ITS Unplugged: Leapfrogging the Digital Divide for Teaching Numeracy Skills in Underserved Populations. 59-65

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