Machine learning / AI

Studies tagged with AI from their full text or abstract; see each study for details.

Showing 211 - 240 of 347 studies

On the development of an AI performance and behavioural measures for teaching and classroom management

Andreea Ioana Niculescu, Jochen Ehnes, Chen Yi, Du Jiawei, Tay Chiat Pin, Joey Tianyi Zhou, Vigneshwaran Subbaraju, Teh Kah Kuan, Tran Huy Dat, Gi Soong Chee, Kenneth Kwok. (07/2025). arXiv. http://arxiv.org/pdf/2506.11143v2
SentiDrop: A Multi-Modal Machine Learning model for Predicting Dropout in Distance Learning

Meriem Zerkouk, Miloud Mihoubi, Belkacem Chikhaoui. (07/2025). arXiv. http://arxiv.org/pdf/2507.10421v1
Natural Language-based Assessment of L2 Oral Proficiency using LLMs

Stefano Bannò, Rao Ma, Mengjie Qian, Siyuan Tang, Kate Knill, Mark Gales. (07/2025). arXiv. http://arxiv.org/pdf/2507.10200v1
Beyond Classical And Contemporary Models: A Transformative Ai Framework For Student Dropout Prediction In Distance Learning Using RAG, Prompt Engineering, And Cross-Modal Fusion

Miloud Mihoubi, Meriem Zerkouk, Belkacem Chikhaoui. (07/2025). arXiv. http://arxiv.org/pdf/2507.05285v2
Findings of the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered Tutors

Ekaterina Kochmar, Kaushal Kumar Maurya, Kseniia Petukhova, KV Aditya Srivatsa, Anaïs Tack, Justin Vasselli. (07/2025). arXiv. http://arxiv.org/pdf/2507.10579v1
Enhancing Essay Cohesion Assessment: A Novel Item Response Theory Approach

Bruno Alexandre Rosa, Hilário Oliveira, Luiz Rodrigues, Eduardo Araujo Oliveira, Rafael Ferreira Mello. (07/2025). arXiv. http://arxiv.org/pdf/2507.08487v1
Can LLMs Reliably Simulate Real Students' Abilities in Mathematics and Reading Comprehension?

KV Aditya Srivatsa, Kaushal Kumar Maurya, Ekaterina Kochmar. (07/2025). arXiv. http://arxiv.org/pdf/2507.08232v1
Exploring LLMs for Predicting Tutor Strategy and Student Outcomes in Dialogues

Fareya Ikram, Alexander Scarlatos, Andrew Lan. (07/2025). arXiv. http://arxiv.org/pdf/2507.06910v1
Narrowing the Gap: Supervised Fine-Tuning of Open-Source LLMs as a Viable Alternative to Proprietary Models for Pedagogical Tools

Lorenzo Lee Solano, Charles Koutcheme, Juho Leinonen, Alexandra Vassar, Jake Renzella. (07/2025). arXiv. http://arxiv.org/pdf/2507.05305v1
Detection of Disengagement from Voluntary Quizzes: An Explainable Machine Learning Approach in Higher Distance Education

Behnam Parsaeifard, Christof Imhof, Tansu Pancar, Ioan-Sorin Comsa, Martin Hlosta, Nicole Bergamin, Per Bergamin. (07/2025). arXiv. http://arxiv.org/pdf/2507.02681v2
Autonomous AI Surveillance: Multimodal Deep Learning for Cognitive and Behavioral Monitoring

Ameer Hamza, Zuhaib Hussain But, Umar Arif, Samiya, M. Abdullah Asad, Muhammad Naeem. (07/2025). arXiv. http://arxiv.org/pdf/2507.01590v1
Computer Vision for Objects used in Group Work: Challenges and Opportunities

Changsoo Jung, Sheikh Mannan, Jack Fitzgerald, Nathaniel Blanchard. (06/2025). arXiv. http://arxiv.org/pdf/2507.00224v1
Research on Comprehensive Classroom Evaluation System Based on Multiple AI Models

Xie Cong, Yang Li, Wang Daben, Xiao Jing. (06/2025). arXiv. http://arxiv.org/pdf/2506.23079v1
FEAT: A Preference Feedback Dataset through a Cost-Effective Auto-Generation and Labeling Framework for English AI Tutoring

Hyein Seo, Taewook Hwang, Yohan Lee, Sangkeun Jung. (06/2025). arXiv. http://arxiv.org/pdf/2506.19325v2
Leveraging AI Graders for Missing Score Imputation to Achieve Accurate Ability Estimation in Constructed-Response Tests

Masaki Uto, Yuma Ito. (06/2025). arXiv. http://arxiv.org/pdf/2506.20119v1
Confucius3-Math: A Lightweight High-Performance Reasoning LLM for Chinese K-12 Mathematics Learning

Lixin Wu, Na Cai, Qiao Cheng, Jiachen Wang, Yitao Duan. (06/2025). arXiv. http://arxiv.org/pdf/2506.18330v2
Detecting LLM-Generated Short Answers and Effects on Learner Performance

Shambhavi Bhushan, Danielle R. Thomas, Conrad Borchers, Isha Raghuvanshi, Ralph Abboud, Erin Gatz, Shivang Gupta, Kenneth R. Koedinger. (06/2025). arXiv. http://arxiv.org/pdf/2506.17196v1
Language Bottleneck Models: A Framework for Interpretable Knowledge Tracing and Beyond

Antonin Berthon, Mihaela van der Schaar. (06/2025). arXiv. http://arxiv.org/pdf/2506.16982v1
Combining Log Data and Collaborative Dialogue Features to Predict Project Quality in Middle School AI Education

Conrad Borchers, Xiaoyi Tian, Kristy Elizabeth Boyer, Maya Israel. (06/2025). arXiv. http://arxiv.org/pdf/2506.11326v1
LLM-Driven Personalized Answer Generation and Evaluation

Mohammadreza Molavi, Mohammadreza Tavakoli, Mohammad Moein, Abdolali Faraji, Gabor Kismihok. (06/2025). arXiv. http://arxiv.org/pdf/2506.10829v1
RETUYT-INCO at BEA 2025 Shared Task: How Far Can Lightweight Models Go in AI-powered Tutor Evaluation?

Santiago Gongora, Ignacio Sastre, Santiago Robaina, Ignacio Remersaro, Luis Chiruzzo, Aiala Rosa. (06/2025). arXiv. http://arxiv.org/pdf/2506.11243v1
SimClass: A Classroom Speech Dataset Generated via Game Engine Simulation For Automatic Speech Recognition Research

Ahmed Adel Attia, Jing Liu, Carol Espy Wilson. (06/2025). arXiv. http://arxiv.org/pdf/2506.09206v1
Intent Matters: Enhancing AI Tutoring with Fine-Grained Pedagogical Intent Annotation

Kseniia Petukhova, Ekaterina Kochmar. (06/2025). arXiv. http://arxiv.org/pdf/2506.07626v1
Exploring Effective Strategies for Building a Customised GPT Agent for Coding Classroom Dialogues

Luwei Bai, Dongkeun Han, Sara Hennessy. (06/2025). arXiv. http://arxiv.org/pdf/2506.07194v1
T-TEXTS (Teaching Text Expansion for Teacher Scaffolding): Enhancing Text Selection in High School Literature through Knowledge Graph-Based Recommendation

Nirmal Gelal, Chloe Snow, Ambyr Rios, Hande Kuçuk McGinty. (06/2025). arXiv. http://arxiv.org/pdf/2506.12075v1
Sentiment Analysis in Learning Management Systems Understanding Student Feedback at Scale

Mohammed Almatauri. (06/2025). arXiv. http://arxiv.org/pdf/2506.05490v1
Simulating LLM-to-LLM Tutoring for Multilingual Math Feedback

Junior Cedric Tonga, KV Aditya Srivatsa, Kaushal Kumar Maurya, Fajri Koto, Ekaterina Kochmar. (06/2025). arXiv. http://arxiv.org/pdf/2506.04920v1
Exploiting the English Vocabulary Profile for L2 word-level vocabulary assessment with LLMs

Stefano Bannò, Knill, Kate, Mark Gales. (06/2025). arXiv. http://arxiv.org/pdf/2506.02758v1
BD at BEA 2025 Shared Task: MPNet Ensembles for Pedagogical Mistake Identification and Localization in AI Tutor Responses

Shadman Rohan, Ishita Sur Apan, Muhtasim Ibteda Shochcho, Md Fahim, Mohammad Ashfaq Ur Rahman, AKM Mahbubur Rahman, Amin Ahsan Ali. (06/2025). arXiv. http://arxiv.org/pdf/2506.01817v1
K12Vista: Exploring the Boundaries of MLLMs in K-12 Education

Chong Li, Chenglin Zhu, Tao Zhang, Mingan Lin, Zenan Zhou, Jian Xie. (06/2025). arXiv. http://arxiv.org/pdf/2506.01676v1