--- title: "Education — papers" description: "Education: 19 papers of the Elamur Research library — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/education/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/education/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / Education # 🎓 Education 19 papers · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/) Teaching and learning, learners' language, educational applications. - [ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education](https://md.research.elamur.ai/free/en/papers/kasneci-2023-chatgpt-good-opportunities-challenges-large/) — Enkelejda Kasneci, Kathrin Seßler, Stefan Küchemann, et al. · 2023 · 7 429 citations - [MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems](https://md.research.elamur.ai/free/en/papers/macina-2023-mathdial-dialogue-tutoring-dataset-rich/) — Jakub Macina, Nico Daheim, Sankalan Chowdhury, et al. · 2023 · 130 citations - [Universal Dependencies for Learner English](https://md.research.elamur.ai/free/en/papers/berzak-2016-universal-dependencies-learner-english/) — Yevgeni Berzak, Jessica Kenney, Carolyn Spadine, et al. · 2016 · 109 citations - [Using an Error-Annotated Learner Corpus to Develop an ESL/EFL Error Correction System](https://md.research.elamur.ai/free/en/papers/han-2010-error-annotated-learner-corpus-develop/) — Na-Rae Han, Joel Tetreault, Soo-Hwa Lee, et al. · 2010 · 62 citations - [KoKo: an L1 Learner Corpus for German](https://md.research.elamur.ai/free/en/papers/abel-2014-koko-l1-learner-corpus-german/) — Andrea Abel, Aivars Glaznieks, Lionel Nicolas, et al. · 2014 · 28 citations - [Becoming Linguistically Mature: Modeling English and German Children's Writing Development Across School Grades](https://md.research.elamur.ai/free/en/papers/kerz-2020-becoming-linguistically-mature-modeling-english/) — Elma Kerz, Yu Qiao, Daniel Wiechmann, et al. · 2020 · 27 citations - [From distributions to labels: A lexical proficiency analysis using learner corpora](https://md.research.elamur.ai/free/en/papers/alfter-2016-distributions-labels-lexical-proficiency-analysis/) — David Alfter, Yuri Bizzoni, Anders Agebjörn, et al. · 2016 · 27 citations - [Using Word Semantics To Assist English as a Second Language Learners](https://md.research.elamur.ai/free/en/papers/azab-2015-word-semantics-assist-english-as/) — Mahmoud Azab, Chris Hokamp, Rada Mihalcea · 2015 · 22 citations - [Analyzing the Impact of Spelling Errors on POS-Tagging and Chunking in Learner English](https://md.research.elamur.ai/free/en/papers/mizumoto-2017-analyzing-impact-spelling-errors-pos/) — Tomoya Mizumoto, Ryo Nagata · 2017 · 12 citations - [A POS Tagging Model Designed for Learner English](https://md.research.elamur.ai/free/en/papers/nagata-2018-pos-tagging-model-adapted-learner/) — Ryo Nagata, Tomoya Mizumoto, Yuta Kikuchi, et al. · 2018 · 11 citations - [Transformer-based Hebrew NLP models for Short Answer Scoring in Biology](https://md.research.elamur.ai/free/en/papers/aclbulk-2023-schleifer-transformer-based-hebrew-nlp-models/) — Abigail Gurin Schleifer, Beata Beigman Klebanov, Moriah Ariely, et al. · 2023 · 10 citations - [Designing the LECOR Learner Corpus for Romanian](https://md.research.elamur.ai/free/en/papers/barbu-2023-designing-lecor-learner-corpus-romanian/) — Ana Maria Barbu, Elena Irimia, Carmen Mîrzea Vasile, et al. · 2023 · 2 citations - [Comparing Native and Learner Englishes Using a Large Pre-trained Language Model](https://md.research.elamur.ai/free/en/papers/aoyama-2022-comparing-native-learner-englishes-large/) — Tatsuya Aoyama · 2022 · 2 citations - [Children's English Reading Story Generation via Supervised Fine-Tuning of Compact LLMs with Controllable Difficulty and Safety](https://md.research.elamur.ai/free/en/papers/shen-2026-children-s-english-reading-story/) — Qian Shen, Fanghua Cao, Min Yao, et al. · 2026 · 1 citation - [Potential of ASR for the study of L2 learner corpora](https://md.research.elamur.ai/free/en/papers/ayari-2024-potential-asr-study-l2-learner/) — Sarra El Ayari, Zhongjie Li · 2024 · 1 citation - [ICLE-RC: International Corpus of Learner English for Relative Clauses](https://md.research.elamur.ai/free/en/papers/das-2025-icle-rc-international-corpus-learner/) — Debopam Das, Izabela Czerniak, Peter Bourgonje · 2025 - [Syntax of referents of relative markers: Evidence from a corpus of learner English](https://md.research.elamur.ai/free/en/papers/czerniak-2025-syntax-referents-relative-markers-evidence/) — Izabela Czerniak, Debopam Das · 2025 - [Learning with learner corpora: Using the TLE for native language identification](https://md.research.elamur.ai/free/en/papers/adams-2017-learning-learner-corpora-tle-native/) — Allison Adams, Sara Stymne · 2017 - [Variabilité des syllabes réalisées par des apprenants de l'anglais (Analysing syllable variability in a French learner corpus of English)](https://md.research.elamur.ai/free/en/papers/ballier-2016-variabilite-des-syllabes-realisees-par/) — Nicolas Ballier, Philippe Martin, Maelle Amand · 2016 - [← previous shelf Economics & trade](https://md.research.elamur.ai/free/en/shelves/economics/) - [next shelf → English](https://md.research.elamur.ai/free/en/shelves/en/) - [↑ back to shelves](https://md.research.elamur.ai/free/en/shelves/)