---
title: "L@S 2024 — accepted papers — Elamur Research"
description: "L@S 2024 — accepted papers: 1 paper in the Elamur Research library, with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/acm-conference-on-learning-scale-l-s/2024/"
---
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# L@S 2024 — accepted papers

L@S 2024 is the 2024 edition of the ACM Conference on Learning @ Scale (L@S). OpenAlex lists 92 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**92** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/acm-conference-on-learning-scale-l-s/2024/#works) · [**66** citations of these works](https://md.research.elamur.ai/free/en/venues/acm-conference-on-learning-scale-l-s/2024/#works)

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[Evaluating the Effectiveness of LLMs in Introductory Computer Science Education: A Semester-Long Field Study ↗](https://doi.org/10.1145/3657604.3662036)**Wenhan Lyu, Yimeng Wang, Tingting Rachel Chung et al.*126 citations*
2. **[Supporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms ↗](https://doi.org/10.1145/3657604.3662042)**Harsh Kumar, Ruiwei Xiao, Benjamin Lawson et al.*52 citations*
3. **[CodeTailor: LLM-Powered Personalized Parsons Puzzles for Engaging Support While Learning Programming ↗](https://doi.org/10.1145/3657604.3662032)**Xinying Hou, Zihan Wu, Xu Wang et al.*45 citations*
4. **[AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails](https://md.research.elamur.ai/free/en/papers/chowdhury-2024-autotutor-meets-large-language-models/)**Sankalan Pal Chowdhury, Vilém Zouhar, Mrinmaya Sachan*44 citations · our summary*
5. **[Can Large Language Models Make the Grade? An Empirical Study Evaluating LLMs Ability To Mark Short Answer Questions in K-12 Education ↗](https://doi.org/10.1145/3657604.3664693)**Owen Henkel, Libby Hills, Adam Boxer et al.*42 citations*
6. **[Plagiarism in the Age of Generative AI: Cheating Method Change and Learning Loss in an Intro to CS Course ↗](https://doi.org/10.1145/3657604.3662046)**Binglin Chen, Colleen M. Lewis, Matthew West et al.*39 citations*
7. **[Generative Students: Using LLM-Simulated Student Profiles to Support Question Item Evaluation ↗](https://doi.org/10.1145/3657604.3662031)**Xinyi Lu, Xu Wang*37 citations*
8. **[Combining LLM-Generated and Test-Based Feedback in a MOOC for Programming ↗](https://doi.org/10.1145/3657604.3662040)**Hagit Gabbay, Anat Cohen*36 citations*
9. **[GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation ↗](https://doi.org/10.1145/3657604.3664718)**Eason Chen, Jia-En Lee, Jionghao Lin et al.*30 citations*
10. **[Towards Educator-Driven Tutor Authoring: Generative AI Approaches for Creating Intelligent Tutor Interfaces ↗](https://doi.org/10.1145/3657604.3664694)**Tommaso Calò, Christopher J. MacLellan*26 citations*

## All accepted papers (92)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. **[Evaluating the Effectiveness of LLMs in Introductory Computer Science Education: A Semester-Long Field Study ↗](https://doi.org/10.1145/3657604.3662036)**Wenhan Lyu, Yimeng Wang, Tingting Rachel Chung et al.*126 citations*
2. **[Supporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms ↗](https://doi.org/10.1145/3657604.3662042)**Harsh Kumar, Ruiwei Xiao, Benjamin Lawson et al.*52 citations*
3. **[CodeTailor: LLM-Powered Personalized Parsons Puzzles for Engaging Support While Learning Programming ↗](https://doi.org/10.1145/3657604.3662032)**Xinying Hou, Zihan Wu, Xu Wang et al.*45 citations*
4. **[AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails](https://md.research.elamur.ai/free/en/papers/chowdhury-2024-autotutor-meets-large-language-models/)**Sankalan Pal Chowdhury, Vilém Zouhar, Mrinmaya Sachan*44 citations · our summary*
5. **[Can Large Language Models Make the Grade? An Empirical Study Evaluating LLMs Ability To Mark Short Answer Questions in K-12 Education ↗](https://doi.org/10.1145/3657604.3664693)**Owen Henkel, Libby Hills, Adam Boxer et al.*42 citations*
6. **[Plagiarism in the Age of Generative AI: Cheating Method Change and Learning Loss in an Intro to CS Course ↗](https://doi.org/10.1145/3657604.3662046)**Binglin Chen, Colleen M. Lewis, Matthew West et al.*39 citations*
7. **[Generative Students: Using LLM-Simulated Student Profiles to Support Question Item Evaluation ↗](https://doi.org/10.1145/3657604.3662031)**Xinyi Lu, Xu Wang*37 citations*
8. **[Combining LLM-Generated and Test-Based Feedback in a MOOC for Programming ↗](https://doi.org/10.1145/3657604.3662040)**Hagit Gabbay, Anat Cohen*36 citations*
9. **[GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation ↗](https://doi.org/10.1145/3657604.3664718)**Eason Chen, Jia-En Lee, Jionghao Lin et al.*30 citations*
10. **[Towards Educator-Driven Tutor Authoring: Generative AI Approaches for Creating Intelligent Tutor Interfaces ↗](https://doi.org/10.1145/3657604.3664694)**Tommaso Calò, Christopher J. MacLellan*26 citations*
11. **[Using Cipherbot: An Exploratory Analysis of Student Interaction with an LLM-Based Educational Chatbot ↗](https://doi.org/10.1145/3657604.3664690)**Joni O. Salminen, Soon‐gyo Jung, Johanne Medina et al.*25 citations*
12. **[Prompting for Comprehension: Exploring the Intersection of Explain in Plain English Questions and Prompt Writing ↗](https://doi.org/10.1145/3657604.3662039)**David Horton Smith, Paul C. Denny, Max Fowler*22 citations*
13. **[Simulating Climate Change Discussion with Large Language Models: Considerations for Science Communication at Scale ↗](https://doi.org/10.1145/3657604.3662033)**Ha Nguyen, Victoria Nguyen, Saríah López-Fierro et al.*22 citations*
14. **[Is GPT-4 Alone Sufficient for Automated Essay Scoring?: A Comparative Judgment Approach Based on Rater Cognition ↗](https://doi.org/10.1145/3657604.3664703)**Seungju Kim, Meounggun Jo*19 citations*
15. **[Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions ↗](https://doi.org/10.1145/3657604.3662030)**Steven Moore, Robin Schmucker, Tom M. Mitchell et al.*18 citations*
16. **[Automated Quality Assessment of Multimodal Mathematical Stories Generated by Generative Artificial Intelligence ↗](https://doi.org/10.1145/3657604.3662029)**Hai Li, Rui Guo, Chenglu Li et al.*18 citations*
17. **[Short answer scoring with GPT-4 ↗](https://doi.org/10.1145/3657604.3664685)**Lan Jiang, Nigel Bosch*18 citations*
18. **[AI-Driven Content Creation: Revolutionizing Educational Materials ↗](https://doi.org/10.1145/3657604.3664640)**Miguel Morales, Héctor R. Amado-Salvatierra, Rocael Hernández-Rizzardini*17 citations*
19. **[Nemobot: Crafting Strategic Gaming LLM Agents for K-12 AI Education ↗](https://doi.org/10.1145/3657604.3664671)**Yuchen Wang, Shangxin Guo, Lin Ling et al.*16 citations*
20. **[Automatic Feedback Generation on K-12 Students' Data Science Education by Prompting Cloud-based Large Language Models ↗](https://doi.org/10.1145/3657604.3664673)**Sze Ching Evelyn Fung, Man Fai Wong, Chee Wei Tan*15 citations*
21. **[Socratic Mind: Scalable Oral Assessment Powered By AI ↗](https://doi.org/10.1145/3657604.3664661)**Jui-Tse Hung, Christopher Cui, Diana M. Popescu et al.*15 citations*
22. **[Comparing Feedback from Large Language Models and Instructors: Teaching Computer Science at Scale ↗](https://doi.org/10.1145/3657604.3664660)**Ha Nguyen, Nate Stott, Vicki H. Allan*13 citations*
23. **[Ten Years, Ten Trends: The First Decade of an Affordable At-Scale Degree ↗](https://doi.org/10.1145/3657604.3662038)**David A. Joyner, Alex Simon Duncan*13 citations*
24. **[CFlow: Supporting Semantic Flow Analysis of Students' Code in Programming Problems at Scale ↗](https://doi.org/10.1145/3657604.3662025)**Ge Zhang, Xiaohang Tang, Steve Oney et al.*12 citations*
25. **[Scaling Up Mastery Learning with Generative AI: Exploring How Generative AI Can Assist in the Generation and Evaluation of Mastery Quiz Questions ↗](https://doi.org/10.1145/3657604.3664699)**Stephen J. Hutt, Grayson Hieb*12 citations*

[See all 92 papers in L@S 2024 — accepted papers →](https://md.research.elamur.ai/free/en/venues/acm-conference-on-learning-scale-l-s/2024/papers/)

## Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. **[AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails](https://md.research.elamur.ai/free/en/papers/chowdhury-2024-autotutor-meets-large-language-models/) [ACM Conference on Learning @ Scale (L@S)](https://md.research.elamur.ai/free/en/venues/acm-conference-on-learning-scale-l-s/)**Sankalan Pal Chowdhury, Vilém Zouhar, Mrinmaya Sachan*2024 · 66 citations*

## Top topics

Topics of its works in our library, with the number of works on each.

[Language models & pretraining (1)](https://md.research.elamur.ai/free/en/topics/language-models/)

## Fields

[Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Medicine (1)](https://md.research.elamur.ai/free/en/shelves/medicine/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Mrinmaya Sachan**1 work here · 66 citations](https://md.research.elamur.ai/free/en/authors/mrinmaya-sachan/) · [🧑‍🔬**Sankalan Pal Chowdhury**1 work here · 66 citations](https://md.research.elamur.ai/free/en/authors/sankalan-pal-chowdhury/) · [🧑‍🔬**Vilém Zouhar**1 work here · 66 citations](https://md.research.elamur.ai/free/en/authors/vilem-zouhar/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🎓**ETH Zurich** Zurich · Switzerland 1 work here](https://md.research.elamur.ai/free/en/universities/eth-zurich/)

works and citations from OpenAlex and our library.

- [← previous L@S 2020](https://md.research.elamur.ai/free/en/venues/acm-conference-on-learning-scale-l-s/2020/)
- [↑ back to L@S](https://md.research.elamur.ai/free/en/venues/acm-conference-on-learning-scale-l-s/)