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ORCID20th BEA 2025: Vienna, Austria
- Ekaterina Kochmar, Bashar Alhafni, Marie Bexte, Jill Burstein, Andrea Horbach, Ronja Laarmann-Quante, Anaïs Tack, Victoria Yaneva, Zheng Yuan:
Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2025, Vienna, Austria, July 31 - August 1, 2025. Association for Computational Linguistics 2025, ISBN 979-8-89176-270-1 - Sankalan Pal Chowdhury, Nico Daheim, Ekaterina Kochmar, Jakub Macina, Donya Rooein, Mrinmaya Sachan, Shashank Sonkar:
Large Language Models for Education: Understanding the Needs of Stakeholders, Current Capabilities and the Path Forward. 1-10 - Hakyung Sung, Karla Csürös, Min-Chang Sung:
Comparing human and LLM proofreading in L2 writing: Impact on lexical and syntactic features. 11-23 - Adrian Marius Dumitran, Mihnea Buca, Theodor Moroianu:
MateInfoUB: A Real-World Benchmark for Testing LLMs in Competitive, Multilingual, and Multimodal Educational Tasks. 24-37 - Felipe Urrutia, Cristian Buc, Roberto Araya, Valentin Barrière:
Unsupervised Automatic Short Answer Grading and Essay Scoring: A Weakly Supervised Explainable Approach. 38-54 - Luca Benedetto, Shiva Taslimipoor, Paula Buttery:
A Survey on Automated Distractor Evaluation in Multiple-Choice Tasks. 55-69 - Mina Almasi, Ross Deans Kristensen-McLachlan:
Alignment Drift in CEFR-prompted LLMs for Interactive Spanish Tutoring. 70-88 - Stefan Dascalescu, Adrian Marius Dumitran, Mihai Alexandru Vasiluta:
Leveraging Generative AI for Enhancing Automated Assessment in Programming Education Contests. 89-99 - Daria Martynova, Jakub Macina, Nico Daheim, Nilay Yalcin, Xiaoyu Zhang, Mrinmaya Sachan:
Can LLMs Effectively Simulate Human Learners? Teachers' Insights from Tutoring LLM Students. 100-117 - Ryszard Staruch, Filip Gralinski, Daniel Dzienisiewicz:
Adapting LLMs for Minimal-edit Grammatical Error Correction. 118-128 - Zhengyuan Liu, Stella Xin Yin, Dion Hoe-Lian Goh, Nancy F. Chen:
COGENT: A Curriculum-oriented Framework for Generating Grade-appropriate Educational Content. 129-143 - Marie Bexte, Torsten Zesch:
Is Lunch Free Yet? Overcoming the Cold-Start Problem in Supervised Content Scoring using Zero-Shot LLM-Generated Training Data. 144-159 - Lucy Skidmore, Mariano Felice, Karen Dunn:
Transformer Architectures for Vocabulary Test Item Difficulty Prediction. 160-174 - Kordula De Kuthy, Leander Girrbach, Detmar Meurers:
Automatic concept extraction for learning domain modeling: A weakly supervised approach using contextualized word embeddings. 175-185 - Tianyi Geng, David Alfter:
Towards a Real-time Swedish Speech Analyzer for Language Learning Games: A Hybrid AI Approach to Language Assessment. 186-201 - Mengyang Qiu, Tran Minh Nguyen, Zihao Huang, Zelong Li, Yang Gu, Qingyu Gao, Siliang Liu, Jungyeul Park:
Multilingual Grammatical Error Annotation: Combining Language-Agnostic Framework with Language-Specific Flexibility. 202-212 - Robert Östling, Murathan Kurfali, Andrew Caines:
LLM-based post-editing as reference-free GEC evaluation. 213-224 - Marie Bexte, Yuning Ding, Andrea Horbach:
Increasing the Generalizability of Similarity-Based Essay Scoring Through Cross-Prompt Training. 225-236 - Mihail Chifligarov, Jammila Laâguidi, Max Schellenberg, Alexander Dill, Anna Timukova, Anastasia Drackert, Ronja Laarmann-Quante:
Automated Scoring of a German Written Elicited Imitation Test. 237-247 - Andrei Kucharavy, Cyril Vallez, Dimitri Percia David:
LLMs Protégés: Tutoring LLMs with Knowledge Gaps Improves Student Learning Outcome. 248-257 - Karthika NJ, Krishnakant Bhatt, Ganesh Ramakrishnan, Preethi Jyothi:
LEVOS: Leveraging Vocabulary Overlap with Sanskrit to Generate Technical Lexicons in Indian Languages. 258-265 - Andreas Säuberli, Diego Frassinelli, Barbara Plank:
Do LLMs Give Psychometrically Plausible Responses in Educational Assessments? 266-278 - Aymeric de Chillaz, Anna Sotnikova, Patrick Jermann, Antoine Bosselut:
Challenges for AI in Multimodal STEM Assessments: a Human-AI Comparison. 279-293 - Nisarg Parikh, Alexander Scarlatos, Nigel Fernandez, Simon Woodhead, Andrew Lan:
LookAlike: Consistent Distractor Generation in Math MCQs. 294-311 - Jasper Degraeuwe:
You Shall Know a Word's Difficulty by the Family It Keeps: Word Family Features in Personalised Word Difficulty Classifiers for L2 Spanish. 312-325 - David Alfter:
The Need for Truly Graded Lexical Complexity Prediction. 326-333 - Louise Bloch, Johannes Rückert, Christoph M. Friedrich:
Towards Automatic Formal Feedback on Scientific Documents. 334-344 - Nils-Jonathan Schaller, Yuning Ding, Thorben Jansen, Andrea Horbach:
Don't Score too Early! Evaluating Argument Mining Models on Incomplete Essays. 345-355 - Sankalan Pal Chowdhury, Terry Jingchen Zhang, Donya Rooein, Dirk Hovy, Tanja Käser, Mrinmaya Sachan:
Educators' Perceptions of Large Language Models as Tutors: Comparing Human and AI Tutors in a Blind Text-only Setting. 356-374 - Torsten Zesch, Dominic Gardner, Marie Bexte:
Transformer-Based Real-Word Spelling Error Feedback with Configurable Confusion Sets. 375-383 - Aitor Arronte Alvarez, Naiyi Xie Fincham:
Automated L2 Proficiency Scoring: Weak Supervision, Large Language Models, and Statistical Guarantees. 384-397 - Wanjing (Anya) Ma, Michael Flor, Zuowei Wang:
Automatic Generation of Inference Making Questions for Reading Comprehension Assessments. 398-414 - Zahra Kolagar, Frank Zalkow, Alessandra Zarcone:
Investigating Methods for Mapping Learning Objectives to Bloom's Revised Taxonomy in Course Descriptions for Higher Education. 415-445 - Mariana Shimabukuro, Deval Panchal, Christopher Collins:
LangEye: Toward 'Anytime' Learner-Driven Vocabulary Learning From Real-World Objects. 446-459 - Syeda Sabrina Akter, Seth Hunter, David Woo, Antonios Anastasopoulos:
Costs and Benefits of AI-Enabled Topic Modeling in P-20 Research: The Case of School Improvement Plans. 460-476 - Tania Amanda Nkoyo Frederick Eneye, Chukwuebuka Fortunate Ijezue, Ahmad Imam Amjad, Maaz Amjad, Sabur Butt, Gerardo Castañeda Garza:
Advances in Auto-Grading with Large Language Models: A Cross-Disciplinary Survey. 477-498 - Rina Miyata, Toru Urakawa, Hideaki Tamori, Tomoyuki Kajiwara:
Unsupervised Sentence Readability Estimation Based on Parallel Corpora for Text Simplification. 499-504 - Martina Galletti, Valeria Cesaroni:
From End-Users to Co-Designers: Lessons from Teachers. 505-516 - Alexey Sorokin, Regina Nasyrova:
LLMs in alliance with Edit-based models: advancing In-Context Learning for Grammatical Error Correction by Specific Example Selection. 517-534 - Michiel De Vrindt, Renske Bouwer, Wim Van Den Noortgate, Marije Lesterhuis, Anaïs Tack:
Explaining Holistic Essay Scores in Comparative Judgment Assessments by Predicting Scores on Rubrics. 535-548 - Chatrine Qwaider, Bashar Alhafni, Kirill Chirkunov, Nizar Habash, Ted Briscoe:
Enhancing Arabic Automated Essay Scoring with Synthetic Data and Error Injection. 549-563 - Charles Koutcheme, Nicola Dainese, Arto Hellas:
Direct Repair Optimization: Training Small Language Models For Educational Program Repair Improves Feedback. 564-581 - Fatemeh Kazemi Vanhari, Christopher Anand, Charles Welch:
Analyzing Interview Questions via Bloom's Taxonomy to Enhance the Design Thinking Process. 582-593 - Anisia Katinskaia, Anh-Duc Vu, Jue Hou, Ulla Vanhatalo, Yiheng Wu, Roman Yangarber:
Estimation of Text Difficulty in the Context of Language Learning. 594-611 - Vansh Gupta, Sankalan Pal Chowdhury, Vilém Zouhar, Donya Rooein, Mrinmaya Sachan:
Are Large Language Models for Education Reliable Across Languages? 612-631 - Stefano Bannò, Kate M. Knill, Mark J. F. Gales:
Exploiting the English Vocabulary Profile for L2 word-level vocabulary assessment with LLMs. 632-646 - Bernardo Leite, Henrique Lopes Cardoso:
Advancing Question Generation with Joint Narrative and Difficulty Control. 647-659 - Fabian Zehner, Hyo-Jeong Shin, Emily Kerzabi, Andrea Horbach, Sebastian Gombert, Frank Goldhammer, Torsten Zesch, Nico Andersen:
Down the Cascades of Omethi: Hierarchical Automatic Scoring in Large-Scale Assessments. 660-671 - Mohamed Elaraby, Diane J. Litman:
Lessons Learned in Assessing Student Reflections with LLMs. 672-686 - Haiyin Yang, Zoey Liu, Stefanie Wulff:
Using NLI to Identify Potential Collocation Transfer in L2 English. 687-696 - Annabella Sakunkoo, Jonathan Sakunkoo:
Name of Thrones: How Do LLMs Rank Student Names in Status Hierarchies Based on Race and Gender? 697-707 - Adriana Mirabella, Dominique Brunato:
Exploring LLM-Based Assessment of Italian Middle School Writing: A Pilot Study. 708-715 - Yuya Asano, Beata Beigman Klebanov, Jamie N. Mikeska:
Exploring task formulation strategies to evaluate the coherence of classroom discussions with GPT-4o. 716-736 - Anh-Duc Vu, Jue Hou, Anisia Katinskaia, Ching-Fan Sheu, Roman Yangarber:
A Bayesian Approach to Inferring Prerequisite Structures and Topic Difficulty in Language Learning. 737-751 - Nhat Tran, Diane J. Litman, Benjamin Pierce, Richard Correnti, Lindsay Clare Matsumura:
Improving In-context Learning Example Retrieval for Classroom Discussion Assessment with Re-ranking and Label Ratio Regulation. 752-764 - Fareya Ikram, Alexander Scarlatos, Andrew Lan:
Exploring LLMs for Predicting Tutor Strategy and Student Outcomes in Dialogues. 765-779 - Madalina Chitez, Liviu P. Dinu, Marius Micluta-Câmpeanu, Ana-Maria Bucur, Roxana Rogobete:
Assessing Critical Thinking Components in Romanian Secondary School Textbooks: A Data Mining Approach to the ROTEX Corpus. 780-793 - Jacek Marciniak, Marek Kubis, Michal Gulczynski, Adam Szpilkowski, Adam Wieczarek, Marcin Szczepanski:
Improving AI assistants embedded in short e-learning courses with limited textual content. 794-804 - Junzhi Han, Jinho D. Choi:
Beyond Linear Digital Reading: An LLM-Powered Concept Mapping Approach for Reducing Cognitive Load. 805-817 - Noah-Manuel Michael, Andrea Horbach:
GermDetect: Verb Placement Error Detection Datasets for Learners of Germanic Languages. 818-829 - Sahar Yarmohammadtoosky, Yiyun Zhou, Victoria Yaneva, Peter Baldwin, Saed Rezayi, Brian Clauser, Polina Harik:
Enhancing Security and Strengthening Defenses in Automated Short-Answer Grading Systems. 830-840 - Astha Singh, Mark Torrance, Evgeny Chukharev:
EyeLLM: Using Lookback Fixations to Enhance Human-LLM Alignment for Text Completion. 841-849 - Phoebe Mulcaire, Nitin Madnani:
Span Labeling with Large Language Models: Shell vs. Meat. 850-859 - Kseniia Petukhova, Ekaterina Kochmar:
Intent Matters: Enhancing AI Tutoring with Fine-Grained Pedagogical Intent Annotation. 860-872 - Aayush Kucheria, Nitin Sawhney, Arto Hellas:
Comparing Behavioral Patterns of LLM and Human Tutors: A Population-level Analysis with the CIMA Dataset. 873-881 - Zhenjiang Mao, Artem Bisliouk, Rohith Reddy Nama, Ivan Ruchkin:
Temporalizing Confidence: Evaluation of Chain-of-Thought Reasoning with Signal Temporal Logic. 882-890 - Saed Rezayi, Le An Ha, Yiyun Zhou, Andrew Houriet, Angelo D'Addario, Peter Baldwin, Polina Harik, Ann King, Victoria Yaneva:
Automated Scoring of Communication Skills in Physician-Patient Interaction: Balancing Performance and Scalability. 891-897 - Mayank Sharma, Jason Zhang:
Decoding Actionability: A Computational Analysis of Teacher Observation Feedback. 898-907 - Ruishi Chen, Yiling Zhao:
EduCSW: Building a Mandarin-English Code-Switched Generation Pipeline for Computer Science Learning. 908-919 - Euigyum Kim, Seewoo Li, Salah Khalil, Hyo-Jeong Shin:
STAIR-AIG: Optimizing the Automated Item Generation Process through Human-AI Collaboration for Critical Thinking Assessment. 920-930 - Kevin Shi, Karttikeya Mangalam:
UPSC2M: Benchmarking Adaptive Learning from Two Million MCQ Attempts. 931-936 - Veronica Schmalz, Anaïs Tack:
Can GPTZero's AI Vocabulary Distinguish Between LLM-Generated and Student-Written Essays? 937-952 - Martin Vainikko, Taavi Kamarik, Karina Kert, Krista Liin, Silvia Maine, Kais Allkivi, Annekatrin Kaivapalu, Mark Fishel:
Paragraph-level Error Correction and Explanation Generation: Case Study for Estonian. 953-967 - Kamel Nebhi, Amrita Panesar, Hans Bantilan:
End-to-End Automated Item Generation and Scoring for Adaptive English Writing Assessment with Large Language Models. 968-977 - Luisa Ribeiro-Flucht, Xiaobin Chen, Detmar Meurers:
A Framework for Proficiency-Aligned Grammar Practice in LLM-Based Dialogue Systems. 978-987 - KV Aditya Srivatsa, Kaushal Maurya, Ekaterina Kochmar:
Can LLMs Reliably Simulate Real Students' Abilities in Mathematics and Reading Comprehension? 988-1001 - Leo Huovinen, Mika Hämäläinen:
LLM-Assisted, Iterative Curriculum Writing: A Human-Centered AI Approach in Finnish Higher Education. 1002-1010 - Ekaterina Kochmar, Kaushal Maurya, Kseniia Petukhova, KV Aditya Srivatsa, Anaïs Tack, Justin Vasselli:
Findings of the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered Tutors. 1011-1033 - Lei Chen:
Jinan Smart Education at BEA 2025 Shared Task: Dual Encoder Architecture for Tutor Identification via Semantic Understanding of Pedagogical Conversations. 1034-1039 - Deliang Wang, Chao Yang, Gaowei Chen:
Wonderland_EDU@HKU at BEA 2025 Shared Task: Fine-tuning Large Language Models to Evaluate the Pedagogical Ability of AI-powered Tutors. 1040-1048 - Jihyeon Roh, Jinhyun Bang:
bea-jh at BEA 2025 Shared Task: Evaluating AI-powered Tutors through Pedagogically-Informed Reasoning. 1049-1059 - Zhihao Lyu:
CU at BEA 2025 Shared Task: A BERT-Based Cross-Attention Approach for Evaluating Pedagogical Responses in Dialogue. 1060-1072 - Yuming Fan, Chuangchuang Tan, Wenyu Song:
BJTU at BEA 2025 Shared Task: Task-Aware Prompt Tuning and Data Augmentation for Evaluating AI Math Tutors. 1073-1077 - Longfeng Chen, Zeyu Huang, Zheng Xiao, Yawen Zeng, Jin Xu:
SYSUpporter Team at BEA 2025 Shared Task: Class Compensation and Assignment Optimization for LLM-generated Tutor Identification. 1078-1083 - Jiyuan An, Xiang Fu, Bo Liu, Xuquan Zong, Cunliang Kong, Shuliang Liu, Shuo Wang, Zhenghao Liu, Liner Yang, Hanghang Fan, Erhong Yang:
BLCU-ICALL at BEA 2025 Shared Task: Multi-Strategy Evaluation of AI Tutors. 1084-1097 - Rajneesh Tiwari, Pranshu Rastogi:
Phaedrus at BEA 2025 Shared Task: Assessment of Mathematical Tutoring Dialogues through Tutor Identity Classification and Actionability Evaluation. 1098-1107 - Raunak Jain, Srinivasan Rengarajan:
Emergent Wisdom at BEA 2025 Shared Task: From Lexical Understanding to Reflective Reasoning for Pedagogical Ability Assessment. 1108-1120 - Mazen Yasser, Mariam Saeed, Hossam Elkordi, Ayman Khalafallah:
Averroes at BEA 2025 Shared Task: Verifying Mistake Identification in Tutor, Student Dialogue. 1121-1126 - Md. Abdur Rahman, Md Al Amin, Sabik Aftahee, Muhammad Junayed, Md Ashiqur Rahman:
SmolLab_SEU at BEA 2025 Shared Task: A Transformer-Based Framework for Multi-Track Pedagogical Evaluation of AI-Powered Tutors. 1127-1134 - Santiago Góngora, Ignacio Sastre, Santiago Robaina, Ignacio Remersaro, Luis Chiruzzo, Aiala Rosá:
RETUYT-INCO at BEA 2025 Shared Task: How Far Can Lightweight Models Go in AI-powered Tutor Evaluation? 1135-1144 - Geon Park, Jiwoo Song, Gihyeon Choi, Juoh Sun, Harksoo Kim:
K-NLPers at BEA 2025 Shared Task: Evaluating the Quality of AI Tutor Responses with GPT-4.1. 1145-1163 - Henry Pit:
Henry at BEA 2025 Shared Task: Improving AI Tutor's Guidance Evaluation Through Context-Aware Distillation. 1164-1172 - Sebastian Gombert, Fabian Zehner, Hendrik Drachsler:
TBA at BEA 2025 Shared Task: Transfer-Learning from DARE-TIES Merged Models for the Pedagogical Ability Assessment of LLM-Powered Math Tutors. 1173-1179 - Souvik Bhattacharyya, Billodal Roy, Niranjan M, Pranav Gupta:
LexiLogic at BEA 2025 Shared Task: Fine-tuning Transformer Language Models for the Pedagogical Skill Evaluation of LLM-based tutors. 1180-1186 - Sofía Correa Busquets, Valentina Córdova Véliz, Jorge Baier:
IALab UC at BEA 2025 Shared Task: LLM-Powered Expert Pedagogical Feature Extraction. 1187-1193 - Baraa Hikal, Mohmaed Basem, Islam Oshallah, Ali Hamdi:
MSA at BEA 2025 Shared Task: Disagreement-Aware Instruction Tuning for Multi-Dimensional Evaluation of LLMs as Math Tutors. 1194-1202 - Fatima Dekmak, Christian Khairallah, Wissam Antoun:
TutorMind at BEA 2025 Shared Task: Leveraging Fine-Tuned LLMs and Data Augmentation for Mistake Identification. 1203-1211 - Eduardus Tjitrahardja, Ikhlasul Akmal Hanif:
Two Outliers at BEA 2025 Shared Task: Tutor Identity Classification using DiReC, a Two-Stage Disentangled Contrastive Representation. 1212-1223 - Ana Rosu, Jany-Gabriel Ispas, Sergiu Nisioi:
Archaeology at BEA 2025 Shared Task: Are Simple Baselines Good Enough? 1224-1241 - Trishita Saha, Shrenik Ganguli, Maunendra Sankar Desarkar:
NLIP at BEA 2025 Shared Task: Evaluation of Pedagogical Ability of AI Tutors. 1242-1253 - Numaan Naeem, Sarfraz Ahmad, Momina Ahsan, Hasan Iqbal:
NeuralNexus at BEA 2025 Shared Task: Retrieval-Augmented Prompting for Mistake Identification in AI Tutors. 1254-1259 - Maria Monica Manlises, Mark Edward M. Gonzales, Lanz Lim:
DLSU at BEA 2025 Shared Task: Towards Establishing Baseline Models for Pedagogical Response Evaluation Tasks. 1260-1265 - Shadman Rohan, Ishita Sur Apan, Muhtasim Ibteda Shochcho, Md Fahim, Mohammad Ashfaq Ur Rahman, A. K. M. Mahbubur Rahman, Amin Ali:
BD at BEA 2025 Shared Task: MPNet Ensembles for Pedagogical Mistake Identification and Localization in AI Tutor Responses. 1266-1277 - Harsh Dadwal, Sparsh Rastogi, Jatin Bedi:
Thapar Titan/s : Fine-Tuning Pretrained Language Models with Contextual Augmentation for Mistake Identification in Tutor-Student Dialogues. 1278-1282
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