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This paper introduces the MERIT Dataset, a multimodal (text + image + layout) fully labeled dataset within the context of school reports. Comprising over 400 labels and 33k samples, the MERIT Dataset is a valuable resource for training…

Artificial Intelligence · Computer Science 2026-03-04 I. de Rodrigo , A. Sanchez-Cuadrado , J. Boal , A. J. Lopez-Lopez

Although Natural Language Processing (NLP) research on argument mining has advanced considerably in recent years, most studies draw on corpora of asynchronous and written texts, often produced by individuals. Few published corpora of…

Computation and Language · Computer Science 2020-05-26 Christopher Olshefski , Luca Lugini , Ravneet Singh , Diane Litman , Amanda Godley

With advances in Artificial Intelligence in Education (AIEd) and the ever-growing scale of Interactive Educational Systems (IESs), data-driven approach has become a common recipe for various tasks such as knowledge tracing and learning path…

Computers and Society · Computer Science 2020-07-02 Youngduck Choi , Youngnam Lee , Dongmin Shin , Junghyun Cho , Seoyon Park , Seewoo Lee , Jineon Baek , Chan Bae , Byungsoo Kim , Jaewe Heo

Disentangling conversations mixed together in a single stream of messages is a difficult task, made harder by the lack of large manually annotated datasets. We created a new dataset of 77,563 messages manually annotated with reply-structure…

This work investigates how tutoring discourse interacts with students' proximal knowledge to explain and predict students' learning outcomes. Our work is conducted in the context of high-dosage human tutoring where 9th-grade students (N=…

Artificial Intelligence · Computer Science 2024-05-13 Mark Abdelshiheed , Jennifer K. Jacobs , Sidney K. D'Mello

Rigorous and interactive class discussions that support students to engage in high-level thinking and reasoning are essential to learning and are a central component of most teaching interventions. However, formally assessing discussion…

Computation and Language · Computer Science 2023-06-28 Nhat Tran , Benjamin Pierce , Diane Litman , Richard Correnti , Lindsay Clare Matsumura

Understanding what makes tutoring effective requires methods for systematically analyzing tutors' instructional actions during learning interactions. This paper presents a tutor move taxonomy designed to support large-scale analysis of…

Computation and Language · Computer Science 2026-03-09 Zhuqian Zhou , Kirk Vanacore , Tamisha Thompson , Jennifer St John , Rene Kizilcec

The promise of generative AI to revolutionize education is constrained by the pedagogical limits of large language models (LLMs). A major issue is the lack of access to high-quality training data that reflect the learning of actual…

Computation and Language · Computer Science 2025-10-07 Janos Perczel , Jin Chow , Dorottya Demszky

This paper presents a dataset collected from natural dialogs which enables to test the ability of dialog systems to learn new facts from user utterances throughout the dialog. This interactive learning will help with one of the most…

Computation and Language · Computer Science 2016-05-17 Miroslav Vodolán , Filip Jurčíček

Lecture slide presentations, a sequence of pages that contain text and figures accompanied by speech, are constructed and presented carefully in order to optimally transfer knowledge to students. Previous studies in multimedia and…

Artificial Intelligence · Computer Science 2022-08-18 Dong Won Lee , Chaitanya Ahuja , Paul Pu Liang , Sanika Natu , Louis-Philippe Morency

We introduce a new dataset of conversational speech representing English from India, Nigeria, and the United States. The Multi-Dialect Dataset of Dialogues (MD3) strikes a new balance between open-ended conversational speech and…

Computation and Language · Computer Science 2023-05-22 Jacob Eisenstein , Vinodkumar Prabhakaran , Clara Rivera , Dorottya Demszky , Devyani Sharma

Recently, multiple applications of machine learning have been introduced. They include various possibilities arising when image analysis methods are applied to, broadly understood, video streams. In this context, a novel tool, developed for…

Artificial Intelligence · Computer Science 2025-01-07 Anna Wróblewska , Marcel Witas , Kinga Frańczak , Arkadiusz Kniaź , Siew Ann Cheong , Tan Seng Chee , Janusz Hołyst , Marcin Paprzycki

Discourse analysis allows us to attain inferences of a text document that extend beyond the sentence-level. The current performance of discourse models is very low on texts outside of the training distribution's coverage, diminishing the…

Computation and Language · Computer Science 2022-03-23 Katherine Atwell , Anthony Sicilia , Seong Jae Hwang , Malihe Alikhani

This paper provides a detailed analysis of the NeuroPiano dataset, which comprise 104 audio recordings of student piano performances accompanied with 2255 textual feedback and ratings given by professional pianists. We offer a statistical…

Audio and Speech Processing · Electrical Eng. & Systems 2024-10-07 Huan Zhang , Vincent Cheung , Hayato Nishioka , Simon Dixon , Shinichi Furuya

Classroom discussions in English Language Arts have a positive effect on students' reading, writing and reasoning skills. Although prior work has largely focused on teacher talk and student-teacher interactions, we focus on three…

Computation and Language · Computer Science 2019-09-09 Luca Lugini , Diane Litman , Amanda Godley , Christopher Olshefski

Background: Silence is a common phenomenon in classrooms, yet its implicit nature limits a clear understanding of students' underlying learning statuses. Aim: This study proposed a nuanced framework to classify classroom silence based on…

Neurons and Cognition · Quantitative Biology 2025-07-30 Mingxuan Gao , Jingjing Chen , Yun Long , Xiaomeng Xu , Yu Zhang

Engagement and motivation are crucial for second-language acquisition, yet maintaining learner interest in educational conversations remains a challenge. While prior research has explored what makes educational texts interesting, still…

Computation and Language · Computer Science 2025-09-18 Xingwei Tan , Mahathi Parvatham , Chiara Gambi , Gabriele Pergola

We introduce doc2dial, a new dataset of goal-oriented dialogues that are grounded in the associated documents. Inspired by how the authors compose documents for guiding end users, we first construct dialogue flows based on the content…

Computation and Language · Computer Science 2020-11-20 Song Feng , Hui Wan , Chulaka Gunasekara , Siva Sankalp Patel , Sachindra Joshi , Luis A. Lastras

Supporting equitable instruction is an important issue for teachers attending diverse STEM classrooms. Visual learning analytics along with effective student survey measures can support providing on time feedback to teachers in making…

Human-Computer Interaction · Computer Science 2024-01-17 Ali Raza , William R. Penuel , Tamara Sumner

Dialogue segmentation is a crucial task for dialogue systems allowing a better understanding of conversational texts. Despite recent progress in unsupervised dialogue segmentation methods, their performances are limited by the lack of…

Computation and Language · Computer Science 2023-10-17 Junfeng Jiang , Chengzhang Dong , Sadao Kurohashi , Akiko Aizawa