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Related papers: The BEA 2023 Shared Task on Generating AI Teacher …

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This paper presents the ADAIO team's system entry in the Building Educational Applications (BEA) 2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues. The task aims to assess the performance of state-of-the-art…

Computation and Language · Computer Science 2024-04-09 Adaeze Adigwe , Zheng Yuan

This shared task has aimed to assess pedagogical abilities of AI tutors powered by large language models (LLMs), focusing on evaluating the quality of tutor responses aimed at student's mistake remediation within educational dialogues. The…

Computers and Society · Computer Science 2025-07-16 Ekaterina Kochmar , Kaushal Kumar Maurya , Kseniia Petukhova , KV Aditya Srivatsa , Anaïs Tack , Justin Vasselli

How can we test whether state-of-the-art generative models, such as Blender and GPT-3, are good AI teachers, capable of replying to a student in an educational dialogue? Designing an AI teacher test is challenging: although evaluation…

Computation and Language · Computer Science 2022-05-17 Anaïs Tack , Chris Piech

(Tack et al., 2023) organized the shared task hosted by the 18th Workshop on Innovative Use of NLP for Building Educational Applications on generation of teacher language in educational dialogues. Following the structure of the shared task,…

Computation and Language · Computer Science 2023-11-14 Yann Hicke , Abhishek Masand , Wentao Guo , Tushaar Gangavarapu

Generative AI (GAI) technologies are quickly reshaping the educational landscape. As adoption accelerates, understanding how students and educators perceive these tools is essential. This study presents one of the most comprehensive…

Social and Information Networks · Computer Science 2026-01-07 Paulina DeVito , Akhil Vallala , Sean Mcmahon , Yaroslav Hinda , Benjamin Thaw , Hanqi Zhuang , Hari Kalva

This paper presents our system for Track 1: Mistake Identification in the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered Tutors. The task involves evaluating whether a tutor's response correctly identifies a mistake in…

Computation and Language · Computer Science 2025-06-13 Numaan Naeem , Sarfraz Ahmad , Momina Ahsan , Hasan Iqbal

Evaluating AI tutor responses requires more than factual correctness: tutors must identify mistakes, locate errors, provide guidance, and offer actionable next steps. We present GRADE, a systematic study of open-source models for…

Computation and Language · Computer Science 2026-05-28 Parth Bhalerao , Jeromy Chang , David Chou , Oana Ignat

Providing timely and meaningful feedback remains a persistent challenge in higher education, especially in large courses where teachers must balance formative depth with scalability. Recent advances in Generative Artificial Intelligence…

Human-Computer Interaction · Computer Science 2026-01-26 Alvaro Becerra , Ruth Cobos

Generative artificial intelligence (AI) has the potential to scale up personalized tutoring through large language models (LLMs). Recent AI tutors are adapted for the tutoring task by training or prompting LLMs to follow effective…

Computation and Language · Computer Science 2025-07-30 Alexander Scarlatos , Naiming Liu , Jaewook Lee , Richard Baraniuk , Andrew Lan

End of semester student evaluations of teaching are the dominant mechanism for providing feedback to academics on their teaching practice. For large classes, however, the volume of feedback makes these tools impractical for this purpose.…

Computers and Society · Computer Science 2024-07-03 Mike Zhang , Euan D Lindsay , Frederik Bode Thorbensen , Danny Bøgsted Poulsen , Johannes Bjerva

We present Team BD's submission to the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered Tutors, under Track 1 (Mistake Identification) and Track 2 (Mistake Location). Both tracks involve three-class classification of…

AI tools, particularly large language modules, have recently proven their effectiveness within learning management systems and online education programmes. As feedback continues to play a crucial role in learning and assessment in schools,…

Human-Computer Interaction · Computer Science 2024-10-17 Ievgeniia Kuzminykh , Tareita Nawaz , Shihao Shenzhang , Bogdan Ghita , Jeffery Raphael , Hannan Xiao

GenAI has rapidly entered instructional and learning settings as a teaching assistant or AI tutor. However, less is known about how pedagogical intent connects to the learning generated within these systems, especially when student-facing…

Human-Computer Interaction · Computer Science 2026-04-21 Alex Liu , Min Sun , Lief Esbenshade , Victor Tian , Zachary Zhang , Kevin He

Generative Artificial Intelligence (GenAI) has prompted significant discussion in education, yet large-scale empirical evidence on how students and teachers perceive and navigate this shift remains limited. We analyse 270k AI-related Reddit…

Computers and Society · Computer Science 2026-05-19 Pelin Yüce , Xiangruo Dai , Rebecca Owens , Tuğrulcan Elmas

The integration of generative AI in education is expanding, yet empirical analyses of large-scale, real-world interactions between students and AI systems still remain limited. In this study, we present ChEDDAR, ChatGPT & EFL Learner's…

Computation and Language · Computer Science 2024-03-21 Jieun Han , Haneul Yoo , Junho Myung , Minsun Kim , Tak Yeon Lee , So-Yeon Ahn , Alice Oh

In this paper, we study how different Reddit communities discuss generative AI in high school education, focusing on learning, academic integrity, AI detection, and emotional framing. Using 3,789 posts from five education-related…

Computers and Society · Computer Science 2026-03-27 Parth Gaba , Emiliano De Cristofaro

Educational NLP systems are typically evaluated using engagement metrics and satisfaction surveys, which are at best a proxy for meeting pedagogical goals. We introduce six computational metrics for automated evaluation of pedagogical…

Computation and Language · Computer Science 2026-04-28 Sebastian Kobler , Matthew Clemson , Angela Sun , Jonathan K. Kummerfeld

The new capabilities of generative artificial intelligence tools Generative AI, such as ChatGPT, allow users to interact with the system in intuitive ways, such as simple conversations, and receive (mostly) good-quality answers. These…

Human-Computer Interaction · Computer Science 2024-10-14 Matin Amoozadeh , Daye Nam , Daniel Prol , Ali Alfageeh , James Prather , Michael Hilton , Sruti Srinivasa Ragavan , Mohammad Amin Alipour

Written reflective practice is a regular exercise pre-service teachers perform during their higher education. Usually, their lecturers are expected to provide individual feedback, which can be a challenging task to perform on a regular…

This perspective paper proposes a series of interactive scenarios that utilize Artificial Intelligence (AI) to enhance classroom teaching, such as dialogue auto-completion, knowledge and style transfer, and assessment of AI-generated…

Artificial Intelligence · Computer Science 2023-06-13 Kehui Tan , Tianqi Pang , Chenyou Fan , Song Yu
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