Automated Distractor and Feedback Generation for Math Multiple-choice
Questions via In-context Learning

Automated Distractor and Feedback Generation for Math Multiple-choice Questions via In-context Learning

7 August 2023

Hunter McNichols

Alexander Scarlatos

Papers citing "Automated Distractor and Feedback Generation for Math Multiple-choice Questions via In-context Learning"

19 / 19 papers shown

Title
Harnessing Structured Knowledge: A Concept Map-Based Approach for High-Quality Multiple Choice Question Generation with Effective Distractors Nicy Scaria Silvester John Joseph Kennedy Diksha Seth Ananya Thakur Deepak N. Subramani AI4Ed 14 0 0 02 May 2025
Do LLMs Make Mistakes Like Students? Exploring Natural Alignment between Language Models and Human Error Patterns Naiming Liu Shashank Sonkar Richard Baraniuk AI4Ed 66 0 0 24 Feb 2025
Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects Dominic Lohr Marc Berges Abhishek Chugh Michael Kohlhase Dennis Müller AI4Ed 96 2 0 05 Dec 2024
Improving Bilingual Capabilities of Language Models to Support Diverse Linguistic Practices in Education Anand Syamkumar Nora Tseng Kaycie Barron Shanglin Yang Shamya Karumbaiah Rheeya Uppal Junjie Hu 31 1 0 06 Nov 2024
Automatic Generation of Question Hints for Mathematics Problems using Large Language Models in Educational Technology Junior Cedric Tonga Benjamin Clément Pierre-Yves Oudeyer LRM 33 2 0 05 Nov 2024
Can Large Language Models Replicate ITS Feedback on Open-Ended Math Questions? Hunter McNichols Jaewook Lee Stephen E. Fancsali Steve Ritter Andrew S. Lan LRM 36 3 0 10 May 2024
Open Source Language Models Can Provide Feedback: Evaluating LLMs' Ability to Help Students Using GPT-4-As-A-Judge Charles Koutcheme Nicola Dainese Sami Sarsa Arto Hellas Juho Leinonen Paul Denny ELM ALM 29 22 0 08 May 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 25 12 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 19 7 0 01 May 2024
Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs Bahar Radmehr Adish Singla Tanja Kaser LLMAG AI4CE 25 5 0 29 Apr 2024
Improving Automated Distractor Generation for Math Multiple-choice Questions with Overgenerate-and-rank Alexander Scarlatos Wanyong Feng Digory Smith Simon Woodhead Andrew S. Lan AI4Ed 16 4 0 19 Apr 2024
MathVC: An LLM-Simulated Multi-Character Virtual Classroom for Mathematics Education Murong Yue Wijdane Mifdal Yixuan Zhang Jennifer Suh Yixuan Zhang Ziyu Yao LLMAG 51 17 0 10 Apr 2024
CDGP: Automatic Cloze Distractor Generation based on Pre-trained Language Model Shang-Hsuan Chiang Ssu-Cheng Wang Yao-Chung Fan 29 10 0 15 Mar 2024
Improving the Validity of Automatically Generated Feedback via Reinforcement Learning Alexander Scarlatos Digory Smith Simon Woodhead Andrew S. Lan OffRL 41 10 0 02 Mar 2024
Look Before You Leap: Problem Elaboration Prompting Improves Mathematical Reasoning in Large Language Models Haoran Liao Jidong Tian Shaohua Hu Hao He Yaohui Jin ReLM LRM 36 1 0 24 Feb 2024
Generative AI for Education (GAIED): Advances, Opportunities, and Challenges Paul Denny Sumit Gulwani Neil T. Heffernan Tanja Kaser Steven Moore Anna N. Rafferty Adish Singla 13 16 0 02 Feb 2024
Modeling Complex Mathematical Reasoning via Large Language Model based MathAgent Haoran Liao Qinyi Du Shaohua Hu Hao He Yanyan Xu Jidong Tian Yaohui Jin LRM AI4CE 27 1 0 14 Dec 2023
Using language models in the implicit automated assessment of mathematical short answer items Christopher M. Ormerod 28 0 0 21 Aug 2023
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,311 0 17 Jan 2021