Robosourcing Educational Resources -- Leveraging Large Language Models
for Learnersourcing

Robosourcing Educational Resources -- Leveraging Large Language Models for Learnersourcing

9 November 2022

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Papers citing "Robosourcing Educational Resources -- Leveraging Large Language Models for Learnersourcing"

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Title
Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools James Prather Juho Leinonen Natalie Kiesler Jamie Gorson Benario Sam Lau ... Brent N. Reeves Jaromír Šavelka David H Smith IV Sven Strickroth Daniel Zingaro 262 57 0 19 Dec 2024
A Survey Study on the State of the Art of Programming Exercise Generation using Large Language Models Eduard Frankford Ingo Höhn Clemens Sauerwein Ruth Breu ELM 197 2 0 30 May 2024
Evaluating the Effectiveness of LLMs in Introductory Computer Science Education: A Semester-Long Field Study Wenhan Lyu Yimeng Wang Tingting Rachel Chung Chung Yifan Sun Yixuan Zhang 317 77 0 20 Apr 2024
Generative AI in Education: A Study of Educators' Awareness, Sentiments, and Influencing FactorsFrontiers in Education Conference (FIE), 2024 Aashish Ghimire James Prather John Edwards ELM 151 52 0 22 Mar 2024
How Far Are We? The Triumphs and Trials of Generative AI in Learning Software Engineering Rudrajit Choudhuri Dylan Liu Igor Steinmacher M. Gerosa Anita Sarma AI4Ed 173 53 0 18 Dec 2023
Bridging Learnersourcing and AI: Exploring the Dynamics of Student-AI Collaborative Feedback GenerationInternational Conference on Learning Analytics and Knowledge (LAK), 2023 Anjali Singh Christopher A. Brooks Xu Wang Warren Li Juho Kim Deepti Wilson 74 16 0 20 Nov 2023
The Robots are Here: Navigating the Generative AI Revolution in Computing Education James Prather Paul Denny Juho Leinonen Brett A. Becker Ibrahim Albluwi ... Stephen MacNeil Andrew Petersen Raymond Pettit Brent N. Reeves Jaromír Šavelka 235 292 0 01 Oct 2023
How Novices Use LLM-Based Code Generators to Solve CS1 Coding Tasks in a Self-Paced Learning EnvironmentEuropean Conference on Modelling and Simulation (ECMS), 2023 Majeed Kazemitabaar Xinying Hou Austin Z. Henley B. Ericson David Weintrop Tovi Grossman AI4Ed 187 138 0 25 Sep 2023
Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM SynergyAAAI Conference on Artificial Intelligence (AAAI), 2023 Lin Ni Sijie Wang Zeyu Zhang Xiaoxuan Li Xianda Zheng Paul Denny Jing Liu AI4Ed 302 18 0 23 Sep 2023
Learnersourcing in the Age of AI: Student, Educator and Machine Partnerships for Content Creation Hassan Khosravi Paul Denny Steven Moore John C. Stamper 139 44 0 10 Jun 2023
Exploring the Responses of Large Language Models to Beginner Programmers' Help RequestsInternational Computing Education Research Workshop (ICER), 2023 Arto Hellas Juho Leinonen Sami Sarsa Charles Koutcheme Lilja Kujanpää Juha Sorva AI4Ed 146 147 0 09 Jun 2023
Comparing Code Explanations Created by Students and Large Language ModelsAnnual Conference on Innovation and Technology in Computer Science Education (ITiCSE), 2023 Juho Leinonen Paul Denny Stephen MacNeil Sami Sarsa Seth Bernstein Joanne Kim Andrew Tran Arto Hellas LRM 238 176 0 08 Apr 2023
Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural LanguageTechnical Symposium on Computer Science Education (SIGCSE), 2022 Paul Denny Viraj Kumar Nasser Giacaman 163 281 0 27 Oct 2022
Using Large Language Models to Enhance Programming Error MessagesTechnical Symposium on Computer Science Education (SIGCSE), 2022 Juho Leinonen Arto Hellas Sami Sarsa B. Reeves Paul Denny James Prather Brett A. Becker 141 219 0 20 Oct 2022