Using Large Language Models to Provide Explanatory Feedback to Human Tutors

27 June 2023

Papers citing "Using Large Language Models to Provide Explanatory Feedback to Human Tutors"

7 / 7 papers shown

Title
Critique-Guided Distillation: Improving Supervised Fine-tuning via Better Distillation Berkcan Kapusuzoglu Supriyo Chakraborty Chia-Hsuan Lee Sambit Sahu 123 0 0 16 May 2025
The Life Cycle of Large Language Models: A Review of Biases in Education Jinsook Lee Yann Hicke Renzhe Yu Christopher A. Brooks René F. Kizilcec AI4Ed 99 2 0 03 Jun 2024
How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses Jionghao Lin Zifei Han Danielle R. Thomas Ashish Gurung Shivang Gupta Vincent Aleven Kenneth R. Koedinger 76 16 0 02 May 2024
How Can I Improve? Using GPT to Highlight the Desired and Undesired Parts of Open-ended Responses Jionghao Lin Eason Chen Zeifei Han Ashish Gurung Danielle R. Thomas Wei Tan Ngoc Dang Nguyen Kenneth R. Koedinger 99 9 0 01 May 2024
Large Language Models Meet User Interfaces: The Case of Provisioning Feedback Stanislav Pozdniakov Jonathan Brazil Solmaz Abdi Aneesha Bakharia Shazia Sadiq D. Gašević Paul Denny Hassan Khosravi ELM 106 18 0 17 Apr 2024
Improving Assessment of Tutoring Practices using Retrieval-Augmented Generation Zifei Han Jionghao Lin Ashish Gurung Danielle R. Thomas Eason Chen Conrad Borchers Shivang Gupta Kenneth R. Koedinger 19 9 0 04 Feb 2024
Ruffle&Riley: Towards the Automated Induction of Conversational Tutoring Systems Robin Schmucker Meng Xia A. Azaria Tom Michael Mitchell 59 17 0 26 Sep 2023