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Large language models (LLMs) offer promise in generating educational content, providing instructor feedback, and reducing teacher workload on assessments.
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LoRA: Low-Rank Adaptation of Large Language Models
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Using past data to warm start active machine learning: Does context matter?. In LAK21: 11th International Learning Analytics and Knowledge Conference . 151–160
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Megaverse: Benchmarking large language models across languages, modalities, models and tasks
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Leveraging artificial intelligence for inclusive English language teaching: Strategies and implications for learner diversity
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Multilingual machine translation with large language models: Empirical results and analysis
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Mistral AI. 2024 · 2024
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Claude 3.5
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Evaluating Code-Switching Translation with Large Language Models. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) . 6381–6394
Muhammad Huzaifah, Weihua Zheng, Nattapol Chanpaisit, and Kui Wu. 2024 · 2024
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Code-Mixed Probes Show How Pre-Trained Models Generalise On Code-Switched Text
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Automated distractor and feedback generation for math multiple-choice questions via in-context learning
Hunter McNichols, Wanyong Feng, Jaewook Lee, Alexander Scarlatos, Digory Smith, Simon Woodhead, and Andrew Lan. 2023 · 2023
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Using LLMs to bring evidence-based feedback into the classroom: AI-generated feedback increases secondary students’ text revision, motivation, and positive emotions
Jennifer Meyer, Thorben Jansen, Ronja Schiller, Lucas W. Liebenow, Marlene Steinbach, Andrea Horbach, and Johanna Fleckenstein. 2024 · 2023
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AI and the quest for diversity and inclusion: A systematic literature review
Rifat Ara Shams, Didar Zowghi, and Muneera Bano. 2023 · 2023
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Zheng-Xin Yong, Ruochen Zhang, Jessica Zosa Forde, Skyler Wang, Arjun Subramonian, Holy Lovenia, Samuel Cahyawijaya, Genta Indra Winata, Lintang Sutawika, Jan Christian Blaise Cruz, et al · 2023
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Multilingual large language models are not (yet) code-switchers
Ruochen Zhang, Samuel Cahyawijaya, Jan Christian Blaise Cruz, Genta Indra Winata, and Alham Fikri Aji. 2023 · 2023
Cited alongside, same era.
An Automated Graphing System for Mathematical Pedagogy
Arya Bulusu, Brandon Man, Ashish Jagmohan, Aditya Vempaty, and Jennifer Mari-Wyka. [n. d.]
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Generative Agent for Teacher Training: Designing Educational Problem-Solving Simulations with Large Language Model-based Agents for Pre-Service Teachers
Unggi Lee, Sanghyeok Lee, Junbo Koh, Yeil Jeong, Haewon Jung, Gyuri Byun, Jewoong Moon, Jieun Lim, and † HyeoncheolKim. [n. d.]
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Applying large language models for automated essay scoring for non-native Japanese
Wenchao Li and Haitao Liu. 2024 · 2024
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Llama 3.1 Models
Meta. 2024 · 2024
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Multilingual large language model: A survey of resources, taxonomy and frontiers
Libo Qin, Qiguang Chen, Yuhang Zhou, Zhi Chen, Yinghui Li, Lizi Liao, Min Li, Wanxiang Che, and Philip S Yu. 2024 · 2024
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