Main Track – Accepted Papers
AIED Architectures & Tools
Full papers
| AUTHORS | TITLE |
|---|---|
| Ilkou, Thomai Alexiou, Grigorios Antoniou and Olga Viberg | Dyslexia and AI: Do Language Models Align with Dyslexic Style Guide Criteria? |
| Blaženka Divjak, Barbi Svetec, Petra Vondra, Josipa Bađari and Darko Grabar | LeDA: Learning Design with an AI Assistant |
| Adit Gupta, Jennifer Reddig, Tommaso Calò, Daniel Weitekamp and Christopher Maclellan | Beyond Final Answers: Evaluating Large Language Models for Math Tutoring |
| Xinying Hou, Carol Forsyth, Jessica Andrews-Todd, James Rice, Zhiqiang Cai, Yang Jiang, Diego Zapata-Rivera and Art Graesser | An LLM-enhanced Multi-Agent Architecture for Conversation-Based Assessment |
| Dishank Aggarwal, Pritam Sil, Bhaskaran Raman and Pushpak Bhattacharyya | “I understand why I got this grade”: Automatic Short Answer Grading (ASAG) with Feedback |
| Gaurav Tyagi, Meenakshi Mittal, Azalea Bailey, Gireeja Ranade and Narges Norouzi | Askademia: A Real-Time AI System for Automatic Responses to Student Questions |
| Michael Oliverio, Pier Felice Balestrucci, Luca Anselma and Alessandro Mazzei | AIML+: Enhancing AIML for the Educational Domain through Frames and Large Language Models |
Short Papers
| AUTHORS | TITLE |
|---|---|
| Indronil Bhattacharjee and Christabel Wayllace | Cold Start Problem: An Experimental Study of Knowledge Tracing Models with New Students |
| Tristan Kneisel, Fabian Vehlken and Thomas Zeume | Logical Modelling in CS education: Bridging the Natural Language Gap |
| Wengxi Li, Roy Pea, Nick Haber and Hariharan Subramonyam | CogGen: A Learner-Centered Generative AI Architecture for Intelligent Tutoring with Programming Videos |
| Yongli Mou, Fatemeh Fathi, Ben Thillen and Stefan Decker | WILLM: A system for academic Writing Improvement based on Large Language Models |
| Karan Taneja, Anjali Singh and Ashok Goel | Towards a Multimodal Document-grounded Conversational AI System for Education |
| Zhaohui Li, Feiwen Xiao, Jiaju Lin, Xiaohan Zou, Qingxiao Zheng and Jinjun Xiong | StoryLab: Empowering Personalized Learning for Children through Teacher-Guided Multimodal Story Generation |
| S. Thomas Christie, Anna Rafferty, Zack Lee, Ella Cutler, Yu Tian and Husni Almoubayyed | An agentic framework for real-time pedagogical plot generation |
| Ewelina Gajewska, Michał Wawer, Katarzyna Budzynska and Jarosław Chudziak | Leveraging a Multi-Agent LLM-Based System to Educate Teachers in Hate Incidents Management |
| Atsushi Shimada | Leveraging Lecture and Student Knowledge for Improved AI Chatbot Responses in Education |
| Manuel Valle Torre, Thom van der Velden, Marcus Specht and Catharine Oertel | JELAI: Integrating AI and Learning Analytics in Jupyter Notebooks |
| Jarosław Chudziak and Adam Kostka | AI-Powered Math Tutoring: Platform for Personalized and Adaptive Education |
Ethics, Equity, & AIED in Society
Full Papers
| AUTHORS | TITLE |
|---|---|
| Mohammad Hadi Nezhad, Francisco Enrique Vicente Castro, Eugene Mak, Peter Haas, Danielle Allessio, Leon Osterweil, Injila Rasul, Heather Conboy and Ivon Arroyo | Embedding Ethical Awareness in Computer Science and AI Education: The PEaRCE Approach to Responsible Computing |
| Shahina Mohd Azam Ansari, James Bywater, Sarah Lilly, Donald Brown and Jennifer Chiu | MisstepMath: A Diverse Student Mistake Dataset for AI in Mathematics Teacher Training |
| Kaixun Yang, Mladen Raković, Dragan Gašević and Guanliang Chen | Does the Prompt-based Large Language Model Recognize Students’ Demographics and Introduce Bias in Essay Scoring? |
| Aristoteles Barros, Mateus Monteiro, Luiz Rodrigues, Diego Dermeval, Ig Ibert and Seiji Isotani | Evaluating Large Language Model Quality in Resource-Constrained Environments: An Educational Stakeholders’ Survey on Accuracy, Completeness, and Readability in Brazil |
| Oscar Deho, Srecko Joksimovic, Maria Vieira and Ryan Baker | Beyond Predictive Accuracy: Fairness and Bias in Predicting Test Anxiety |
| Victor Heluy Do Prado, Carla Amor Divino Moreira Delgado and Laura de Oliveira F. Moraes | A Self-Assessment for Ethical and Transparent Use of Educational Data |
| Frank Stinar and Nigel Bosch | Surveying Contextualized Student Data Sharing Preferences for Educational AI |
| Sung-Eun Kim, Kyuwon Kim, Jeanhee Lee, Yeji Ko, Yue Wang and Hyo-Jeong So | Dilemmas in AI Ethics: A Digital Game for Moral Reasoning and Collective Decision-Making |
| Summer Chambers and Matthew C. Kelley | The misclassification of autistic writing as AI-generated |
| James Drimalla, Matthew Korban and Jonathan Foster | Investigating Racial and Skin Tone Biases in Automated Classification of Teachers’ Activities in Classroom Videos |
| Valentina Rossi, Teresa Scantamburlo and Alessandra Melonio | Generative AI for Non-Techies: Empirical Insights into LLMs in Programming Education for Novice Non-STEM Learners |
| Angela Stewart, Jaemarie Solyst, Xinyi Bao, Paras Sharma, Amanda Buddemeyer, Tara Nkrumah, Amy Ogan and Erin Walker | Who’s Got the Power? Data Feminism as a Lens for Designing AIED Engagement Systems |
| Matheus Arataque Uema, Seiji Isotani, Talita de Paula Cypriano de Souza, Ig Ibert Bittencourt and Diego Dermeval | A long-term AIEd Unplugged framework |
| Zhilin Fan, Penghe Chen and Yu Lu | Why Did the AI Suggest That? Designing an Explainable Educational Counseling System |
Short Papers
| AUTHORS | TITLE |
|---|---|
| Paulo Vitor Teodoro, Vinicius Freire, Deuzelita Gomes and Liliane Silva | Exploring the Use of Artificial Intelligence and Qualitative Reasoning in Science Education: A Review of Lusophone Literature (2000–2024) |
| Valeria Cesaroni, Eleonora Pasqua, Piercosma Bisconti and Martina Galletti | A Participatory Strategy for AI Ethics in Education and Rehabilitation grounded in the Capability Approach |
| Camila Hidalgo and Noha Lea Halim | Generative AI in K-12 Education Policy: A Global Review |
| Thilo Dieing and Lea Cohausz | Where’s the f***ing filter? A Survey on Handling Problematic and Sensitive Questions in Open Educational Chatbots |
| Shashank Sonkar, Naiming Liu and Richard Baraniuk | MSR: Many-Shot Regurgitation Prompting for Long Educational Text Documents |
| Shuchen Guo, Yun Wang, Jichao Yu, Xuansheng Wu, Bilgehan Ayik, Field Watts, Ehsan Latif, Lei Liu, Ninghao Liu and Xiaoming Zhai | AI Bias and Disparities on English Language Learners |
| Clara Belitz, Haejin Lee, Nidhi Nasiar, Stephen E. Fancsali, Frank Stinar, Husni Almoubayyed, Steve Ritter, Ryan Baker, Jaclyn Ocumpaugh and Nigel Bosch | Exploring Student Identity in Adaptive Learning Systems through Qualitative Data |
| Abdelghafour Aboukacem, Loubna Mekouar, Youssef Iraqi, El Houcine Bergou and Ismail Berrada | On the Fairness of Ensemble Learning Methods in Student Dropout Prediction |
| Venkata Nagaraju Buddarapu and Collin Lynch | Embedding Conversational Safety in AI for Education |
| Daniela Inclezan and Luis I. Pradanos | Where is the Environment in AI Ethics? Integrating Ecoliteracy into AI Literacy |
| Artur Cavalcante de Jesus, Leonardo Brandão Marques, Diego Carvalho Do Nascimento and Bruno Almeida Pimentel | Understanding Public School Enrollment Trends in the Northeast of Brazil: unraveling features through AI related to the learning process for low-income students |
| Jaeyoon Choi and Nia Nixon | Agentic Men, Communal Women?: Exploring Gender Bias in LLM-Based Leadership Identification for Collaboration Analytics |
| Jihyun Rho and Shamya Karumbaiah | Authenticity or alienation: Latine students’ perceptions of stereotypes in AI-generated educational materials |
| Yue Wang, Yeji Ko, Kyuwon Kim, Sung-Eun Kim and Hyo-Jeong So | FLIP: Tabletop Role-Play Game for AI Ethics Education through Cognitive Dissonance |
| Aditya Vinodh, Emma Harvey, Husni Almoubayyed, Renzhe Yu, Christopher Brooks, Allison Koenecke and Rene Kizilcec | Evaluating an AI Tutor for Bias Across Different Foundation Models |
| Ashwin T S, Nihar Sanda, Umesh Timalsina and Gautam Biswas | Challenges of Applying Computer Vision for Emotion Detection in Educational Settings: A Study on Bias |
| Miri Sarid, Rony Tutian, Hilit Maizel and Maya Kalman Halevi | AI Dependency and adjustment to Higher Education: A Comparative Study of Students with Diagnosed, Suspected, and No Learning Disabilities |
Human-Centered Design & Design-Based Research
Full Papers
| AUTHORS | TITLE |
|---|---|
| Tomohiro Nagashima, Martina Vincoli, Niklas Scholz and Man Su | Understanding Students’ Nuanced Views on AI-Supported Classroom Learning through Perspective Taking |
| Shamya Karumbaiah, Yaxuan Yin and Aayush Bharadwaj | AIBAT: AI Behavior Analysis Tool for Teacher-Driven Contextual Evaluation of Language Models in Education |
| Ratan Sebastian and Anett Hoppe | Supporting Teachers through AI-augmented Web Search for Educational Resource Discovery |
| Stefano D’Urso, Ziqi Pan, Alexandra Cristea and Filippo Sciarrone | From Test Scores to Neural Spikes: Predicting Students’ Abstract Reasoning Ability Using EEG with Attention-Based Models |
| Soo Hyoung Joo and Eunhye Grace Ko | “[AI peers] are people learning from the same standpoint”: Perception of AI characters in a Collaborative Science Investigation |
| Abdolali Faraji, Mohammadreza Tavakoli, Mohammad Moein, Mohammadreza Molavi and Gábor Kismihók | Designing Effective LLM-Assisted Interfaces for Curriculum Development |
| Xinyi Lu, Aditya Mahesh, Zejia Shen, Mitchell Dudley, Larissa Sano and Xu Wang | Exploring LLM-Generated Feedback for Economics Essays: How Teaching Assistants Evaluate and Envision Its Use |
| Burcu Arslan, Thomas Wilschut, Hedderik van Rijn and Maarten van der Velde | Evidence-Based Dynamic Personalization for Learning and Assessment Tools (ED-PLAT): Machine- and Learner-Driven Adaptation to Support All Learners |
| Sandra Sawaya and Sidney D’Mello | Sense-Making with an AI-Enhanced Coaching Tool: A Think-Aloud Study |
| Alina A. Karl, Emily Theophilou and Davinia Hernandez-Leo | Artificial Fantasy: The Effect of Generative AI on Cognitive Empathy in Creative Problem Solving |
| Zihan Wu, Yicheng Tang and Barbara Ericson | Learner and Instructor Needs in AI-Supported Programming Learning Tools: Design Implications for Features and Adaptive Control |
| Julian Marvin Joers and Ernesto William De Luca | LLM-Enhanced Exploratory Learning with LaLaMoSuLe: Understanding the Interplay between AI-Powered Educational Interfaces, Eudaimonic Experience, Autonomy, and Competence Perceptions |
| Momin Siddiqui, Vryan Feliciano, Roy Pea and Hari Subramonyam | AI in the Writing Process: How Purposeful AI Support Fosters Student Writing |
Short Papers
| AUTHORS | TITLE |
|---|---|
| Alyssa Olthof, Isabella Saccardi and Judith Masthoff | Decoding Peer Assessment: an Algorithm to Navigate Group Problems Detection |
| Adrienn Toth, Neele Roch, Noé Zufferey and Verena Zimmermann | “I would share it, but…” Exploring Ways to Optimize the Privacy-Personalization Trade-Off in Intelligent Tutoring Systems |
| Alina Guha, Shamya Karumbaiah, Cynthia Baeza, Mariana Castro, Kiyo White and Diego Roman | Teacher Perceptions on AI Support for Bi/multilingual Learners: Superpowers and Constraints |
| Si Chen, Reid Metoyer, Khiem Le, Adam Acunin, Izzy Molnar, Alex Ambrose, James Lang, Nitesh Chawla and Ronald Metoyer | Bridging the AI Adoption Gap: Designing an Interactive Pedagogical Agent for Higher Education Instructors |
| Conrad Borchers, Cindy Peng, Qianru Lyu, Paulo F. Carvalho, Kenneth R. Koedinger and Vincent Aleven | Student Perceptions of Adaptive Goal Setting Recommendations: A Design Prototyping Study |
| Jordan Barria-Pineda, Deniz Sonmez Unal, Kamil Akhuseyinoglu, Erin Walker and Peter Brusilovsky | Using Self-Regulated Learning Theory to Inform the Design of Educational Recommender Systems for Introductory Programming |
| Seiyon Lee, Hongming Li, Shan Zhang, Eric Zhong, Ji-Eun Lee and Anthony F. Botelho | So What? Unpacking the Complexities in Collaborative Problem Solving with AI-Augmented Sense-Making |
| Eman Ganaiem, Tanja Käser and Ido Roll | Towards A Student-Facing Dashboard to Support Learning of Inquiry Competencies in Interactive Simulations |
| Ailiya Borjigin and Zhiqi Shen | Co-Creation Through Collaboration-of-Experts (CoE): A Multi-Agent Approach to Enhancing Creative Risk-Taking and Equity in AI-Driven Education |
| Annie Yuan, Andrew Fang, Danny Liu and Judy Kay | OLiMent: Conversations about Open Learner Modelling to Help Learners Understand and Self-assess Learning Goals |
| Conrad Borchers, Ha Tien Nguyen, Paulo F. Carvalho, Kenneth R. Koedinger and Vincent Aleven | Involving Parents and Caregivers in Intelligent Tutoring Systems: A Design Probe Study |
| Qingxiao Zheng, Abhinav Choudhry, Zihan Liu, Parisa Rabbani, Yuting Hu, Abbie Olszewski, Yun Huang and Jinjun Xiong | Towards AI-Enhanced Speech-Language Intervention Documentation: Opportunities and Design Goals |
| Eason Chen, Jeffrey Li, Scarlett Huang, Xinyi Tang, Jionghao Lin, Paulo Carvalho and Kenneth Koedinger | AI Knows Best? The Paradox of Expertise, AI-Reliance, and Performance in Educational Tutoring Decision-Making Tasks |
| Kole Norberg, April Murphy, Logan De Ley, Ethan Shafran Moltz, Husni Almoubayyed and Steve Ritter | Using Generative AI to Foster Student Sense of Belonging in Mathematics |
| Stanislav Pozdniakov, Jonathan Brazil, Oleksandra Poquet, Stephan Krusche, Santiago Berrezueta, Shazia Sadiq and Hassan Khosravi | From Misunderstandings to Learning Opportunities: Leveraging Generative AI in Discussion Forums to Support Student Learning |
| Qianru Lyu, Wenli Chen and Kok Hui John Gerard Heng | From Screens to Peers: Using Deep Learning Models for Visual Attention Shifts Analysis in Technology-Enhanced Classrooms |
Learning, Teaching, & Pedagogy
Full Papers
| AUTHORS | TITLE |
|---|---|
| Tung Phung, Heeryung Choi, Mengyan Wu, Adish Singla and Christopher Brooks | Plan More, Debug Less: Applying Metacognitive Theory to AI-Assisted Programming Education |
| Catherine Chase and Ross Venook | ChatGPT as a Peer Review Support: Impact on Feedback Quality, Quantity, and Student Perceptions |
| Konrad Maciborski, Karolina Wysocka, Karolina Żelazowska-Byczkowska, Styliani Kleanthous and Adam Wierzbicki | Boosting Data Literacy: The Role of AI in Teaching Detection of the Deceptive Charts |
| Guangji Yuan, Monica Ong, Chew Lee Teo, Peter Seow, Munirah Binte Shaik Kadir, Shu Shing Lee, Nanditha Das and Beverly Anne Devakishen | Designing an innovative learning space for building a better community: AI-Coding Hackathon |
| Olga Manakina and Kasia Muldner | Do students learn more if given access to LLMs and self-explanation prompts? |
| Newnew Deng, Edward Liu and Xiaoming Zhai | Understanding University Students’ Uses of Generative AI: The Role of Demographics and Personality Traits |
| Percy Jardine | Towards Smarter Decision-Making in Collaborative Problem Solving With Optimized Communication Networks |
| Mahir Akgun and Sacip Toker | Struggle First, Prompt Later: How Task Complexity Shapes Learning with GenAI-Assisted Pretesting |
| Yuki Nagae, Lechen Zhang and Liliana Farias | The Effects of Professional Development Training in AI on Teachers’ AI Literacy |
| Pingjing Yang, Jennifer Cromley and Jana Diesner | Change in Eye Gaze Movement Patterns is Related to X-ray Reading Performance |
| Anna Radtke, Jennifer Meyer and Nikol Rummel | Learners’ Awareness of AI as Originator of an Academic Text During Revision: An Exploratory Study |
| James Bywater, Sarah Lilly and Jennie Chiu | Labeling Disagreements: Illuminating the Classification of Mathematics Teacher Questions |
| Ilona Buchem, Robin Bedemann and Felix Gers | Job Interview Training with RAG-LLM: An Experimental Study with the Furhat Robot |
| Annamarie Brosnihan, Megan Wiedbusch, Cameron Marano, Maral Karimi, Matthew Moreno, Tara Delgado, Oscar Tidwell and Roger Azevedo | Balancing Emotional and Motivational Self-Regulatory Processes during Complex Learning with Intelligent Tutoring Systems |
| Rahul Dass, Rochan Madhusudhana, Erin Deye, Shashank Verma, Timothy Bydlon, Grace Brazil and Ashok Goel | Enhanced Question-Answering for Skill-based Learning using Knowledge-based AI and Generative AI |
| Anna Wróblewska, Bartosz Grabek, Jakub Świstak and Daniel Dan | Evaluating LLM-Generated Q\&A Test: A Student-Centered Study |
| Jamie Mikeska, Beata Beigman Klebanov, Aakanksha Bhatia, Shreyashi Halder and Michael Suhan | Evaluating the Use of Generative Artificial Intelligence to Support Learning Opportunities for Teachers to Practice Engaging in Key Instructional Skills |
| Juliana Barros, Laura O. Moraes, Fernanda Duarte Vilela Reis Oliveira and Carla Delgado | Large Language Models Generating Feedback for Students of Introductory Programming Courses |
| Maomi Ueno, Emiko Tsutsumi and Yoshimitsu Miyazawa | Probability-based scaffolding system using Sliding Hidden Markov IRT for longitudinal learning |
| Yang Pian | Leveraging Large Language Models to Enhance the Inner Loops of Intelligent Tutoring Systems |
| Liqun He, Xin Guan, Xianyu Yi, Kazuya Saito, Mutlu Cukurova and Manolis Mavrikis | Supporting L2 Learners’ English Oral Proficiency Development with a GenAI Voice Chatbot: The Case of KELLY |
| Nicholas Diana and John Stamper | Detecting Informal Reasoning Errors in Spoken Arguments: A Difficulty Factors Assessment of Distracted Reasoning |
| Toni V. Earle-Randell, Shan Zhang, Noah Schroeder, Kristy Elizabeth Boyer and Emmanuel Dorley | How Virtual Agents Can Shape Human-Human Collaboration: A Systematic Review |
| Shatha N. Alkhasawneh, Davinia Hernández-Leo and Georgios Lampropoulos | Generative AI in Learning Design: A Systematic Review |
| Conrad Borchers, Alex Houk, Vincent Aleven and Kenneth R. Koedinger | Engagement and Learning Benefits of Goal Setting with Rewards in Human-AI Tutoring |
| Harsh Kumar, David Rothschild, Daniel Goldstein and Jake Hofman | Math Education With Large Language Models: Peril or Promise? |
| Sandra Sawaya, Jennifer Jacobs, Robert Moulder, Brent Milne, Tom Fischaber and Sidney D’Mello | Improving Tutor Discourse Practices via AI-Enhanced Coaching: A Piecewise Latent Growth Curve Modeling Approach |
| Candace Walkington, Theodora Beauchamp, Andrew Lan and Tiffini Pruitt-Britton | The Efficiency of Teacher-Driven Context Personalization in Mathematics with Large Language Models |
| Bailing Lyu, Chenglu Li, Hai Li, Wanli Xing, Gökhan Gülfidan and Linlin Wu | Text-Based Teachable Agents in Math Learning: Examining the Effects of Tone and Emojis on Student-Agent Interaction and Knowledge Application |
| Andrew Olney and Whitney Cade | Learning by Correcting AI Errors: Effort is Essential |
| Chloe Qianhui Zhao, Jie Cao, Eason Chen, Kenneth R. Koedinger and Jionghao Lin | SlideItRight: Using AI to Find Relevant Slides and Provide Feedback for Open-Ended Questions |
| Ashish Gurung, Jionghao Lin, Jordan Gutterman, Danielle R Thomas, Alex Houk, Shivang Gupta, Emma Brunskill, Lee Branstetter, Kenneth Koedinger and Vincent Aleven | Human Tutoring Increases AI Tutor Use, Leading to Better Learning Outcomes |
Short Papers
| AUTHORS | TITLE |
|---|---|
| Steven Moore, Lydia Eckstein, Christine Kwon and John Stamper | Exploring GenAI’s Role in Instructional Design: An A/B Experiment on Learning and Self-Efficacy |
| Shi Ding, Jason Brent Smith and Brian Magerko | Considering Large Language Models Integrations in Expressive Computer Science Learning Environments for Blind and Visually Impaired Learners through Co-design |
| Mohamed Elhayany and Christoph Meinel | When GPT-4 Goes to Class: Benchmarking MOOCs and Enhancing Course Design with AI |
| Yushuang Liu, Ido Davidesco, Bruce McLaren, J Elizabeth Richey, Xiaorui Xue, Leah Teffera, Hayden Stec, Jiayi Zhang, Suyi Liu and Elana Golumbic | Utilizing Log-based and Neurophysiological Measures to Understand Engagement and Learning with Intelligent Tutoring Systems |
| Xiaoshan Huang, Haolun Wu and Susanne Lajoie | What Makes Teamwork Work? A Multimodal Case Study on Emotions and Diagnostic Expertise in an Intelligent Tutoring System |
| Adetunji Adeniran and Manal Ali Alhathli | Beyond Code: Leveraging ChatGPT to Enhance (Not Replace) Traditional Programming Education. |
| Ivan Orozco Vasquez, Romina Mahinpei, Cristina Conati and Noureddine Elouazizi | An Emergent Bottom-Up Categorization of Students’ LLMs Usage in an Undergraduate Research Course |
| Lingxi Jin, Baicheng Lin, Mengze Hong, Hyo-Jeong So and Kun Zhang | Learning by Teaching: Enhancing Music Learning Through LLM-Based Teachable Agents |
| David Otten, Pantelis Papadopoulos, Maryam Amir Heari and Maaike Endedijk | Searching for Transactivity in a Collaborative Chat: Analysis of Novelty and Reference with GenAI |
| Tami Seifert and Taly Tzamir Levi | Risk or Promise: Educators’ Perspectives on Student Use of ChatGPT |
| Snigdha Agarwal, Vinay Namboodiri and C.V Jawahar | LipMOOC: A Modular Synthetic MOOC for Lipreading |
| Boxuan Ma, Liyuan Guo, Tianyuan Yang and Jihong Ding | How Generative AI Impact Student Emotion and Engagement in Programming Tasks? |
| Debarshi Nath, Dragan Gasevic, Yizhou Fan and Ramkumar Rajendran | How do learners read the content in a multi-source reading-to-write task? – A multimodal study |
| Andrew Olney, Sidney D’Mello, Natalie Person, Whitney Cade, Patrick Hays, Claire Dempsey, Blair Lehman, Betsy Sanders and Arthur Graesser | Efficacy of a Computer Tutor that Models Expert Human Tutors |
| Cameron Marano, Megan Wiedbusch, Annamarie Brosnihan, Matthew Moreno, Milla Sherman, Maral Karimi, Tara Delgado and Roger Azevedo | Examining the Influence of Students’ Personality on Self-Regulatory Behaviors and Learning Outcomes During Complex Learning with MetaTutor |
| Sonia Proust-Androwkha, Valéry Psyché, Revekka Kyriakoglou, Anis Boubaker, Sébastien Lallé, Lamprini Chartofylaka, Guilherme Medeiros Machado and Nour El Mawas | Beyond Programming Assistance towards the Integration of Generative AI into Computer Science Education : A Scoping Review |
| Erfan Mirhaji, Nikhil Krishnaswamy, Jill Zarestky, Lisa Mason, Sarath Sreedharan and Nathaniel Blanchard | HuTCH: Human Teachable Concept Highlighter for Post-hoc Visual Explanations |
| Yun He, Elaine Chen and Richard Fletcher | Exploring Generative AI in Learning: Neurodivergent and Disabled Students’ Voices in Higher Education |
| Leo Leppänen, Lili Aunimo, Arto Hellas, Jukka K. Nurminen and Linda Mannila | Emergence of LLMs: (Not-so-)Significant Delving in Essay Answers in a MOOC on the Ethics of AI |
| Alka Bhushan, Nirav Bhatt, Anik Bhowmick, Patrick Vincent Ndowo, Sukanya Tukaram Naik, Ramadhan Mwinyi Pembe and Adhil Ahmed P M Shums | Can Open Source LLMs Generate Math Questions at Graduate Level Courses? An Empirical Study of Linear Algebra Course |
| Ehsan Bojnordi, Antonija Mitrovic, Matthias Galster, Sanna Malinen and Jay Holland | Fostering Interactive Engagement in Active Video Watching via Adaptive Comment Recommendations |
| Lukas Spirgi | The Role of AI Disclosure in Academic Grading: Lecturer Perceptions, Challenges, and Implications |
| Charanya Ramakrishnan, Steve Cassidy and Matt Bower | Analysis of Students’ GenAI Prompts during a Practical SQL Test |
| Zhen Xu, Xinjin Li, Yingqi Huan, Veronica Minaya and Renzhe Yu | When and Where Are LLMs Good for Curricular Analytics? A Comprehensive Evaluation of Skill Extraction Tasks |
| Ahsen Çini, Pantelis Papadopoulos, Adelson de Araujo and Jara Martens | The Impact of AI-Based Collaborative Conversational Agents on Metacognitive Awareness |
| Nicholas Diana | Reducing the Impact of Bias on the Identification of Logical Fallacies in Spoken Arguments with Value-Adaptive Instruction |
| Shatha N. Alkhasawneh, Davinia Hernández-Leo and Yannis Dimitriadis | Experts’ Views on Generative AI’s Speculative Functions in Learning Design |
| Lukas Erle, Thomas Hoss, Isabel Peltzer and Sabrina C. Eimler | Opportunities and Challenges of Generative AI in Education through the Eyes of Students and Educators: A Qualitative Interview Approach |
| Yugo Hayashi, Shigen Shimojo and Tatsuyuki Kawamura | Collaborative Learning Driven by an Erroneous Teachable Agent Leveraging Different Perspectives: Comparing Egocentric vs. Exocentric Feedback using ACT-R |
| Maria Mercedes T. Rodrigo, Samantha Castaneda, James Alvir Maclin V. Alaan, Paolo Santino P. Caoile, Alec Isaiah Dayupay, Roswold Jemuel Sanchez and Eric Cesar Jr. E. Vidal | Evaluation of a GenAI-based Virtual Patient for Philippine Medical Education |
| Salome Aguilar Llanes, María Fernanda Albo Alarcón and Bernardo García Bulle Bueno | Expanding Access to Tutoring: A Scalable Platform for Personalized Learning and Data-Driven Research |
| Rahul Divekar, Sophia Guerra, Lisette Gonzalez, Natasha Boos and Helen Zhou | Exploring undercurrents of learning tensions in an LLM-enhanced landscape: A student-centered qualitative perspective on LLM vs Search |
| Fatma Betül Güreş, Tanya Nazaretsky, Bahar Radmehr, Martina Rau and Tanja Käser | Explore First, Transfer Far: How Instructional Sequence and Personalized Support Impact Diagnostic Strategy Learning |
| Olga Viberg, Jacqueline Wong, Yael Feldman Maggor, Nora Dunder and Carrie Demmans Epp | Chatting with Code: Exploring LLMs as Learning Partners in Programming Education |
| Ethel P. Beluzzi, Bruna O. Cassetari, Renan L. A. Vital, Tyagi M. Lima, Marcela N. Pianucci, Mario A. P. Santos and Mariana G. Mello | Designing LLM-Based Study Guides and Personalized Feedback in Brazilian Higher Education: A Skill-Focused Approach to Learning and Assessment Perceptions |
Machine Learning & Generative AI
Full Papers
| AUTHORS | TITLE |
|---|---|
| Zhaohui Li, Yusuf Akemoglu, Jincheng Lyu, Qingxiao Zheng and Jinjun Xiong | ASD-HI: A New Parent-child Interaction Dataset for Automated Assessment of an ASD Home-based Intervention |
| Manh Hung Nguyen, Victor-Alexandru Pădurean, Alkis Gotovos, Sebastian Tschiatschek and Adish Singla | Synthesizing High-Quality Programming Tasks with LLM-based Expert and Student Agents |
| Sergio Chevtchenko, Nikhil Navas, Rafaella Vale, Franco Ubaudi, Sipumelele Lucwaba, Cally Ardington, Soheil Afshar, Mark Antoniou and Saeed Afshar | An End-to-End Approach for Child Reading Assessment in the Xhosa Language |
| Badmavasan Kirouchenassamy, Amel Yessad, Sébastien Jolivet, Matthieu Branthôme, Sébastien Lallé and Vanda Luengo | Learning Feedback Policy from Historical Data: An Offline Approach within Pyrates |
| Manikandan Ravikiran, Tarun Sharma, Arnav Bhavsar and Rohit Saluja | GISA: Gradual Information Selection Attention for MCQ Difficulty Estimation |
| Zhonghua Sheng, Shuyu Shen, Leixian Shen, Qiqi Duan, Nan Tang, Pan Hui, Huamin Qu and Yuyu Luo | Automatic Modeling and Analysis of Students’ Problem-Solving Handwriting Trajectories |
| Alexander Scarlatos, Naiming Liu, Jaewook Lee, Richard Baraniuk and Andrew Lan | Training LLM-based Tutors to Improve Student Learning Outcomes in Dialogues |
| Vimukthini Jayalath, Abhinava Barthakur, Shane Dawson, Joanne Tingey, Lin Crase and Vitomir Kovanović | Scaling Curriculum Mapping in Higher Education: Evaluating Generative AI’s Role in Curriculum Analytics |
| Sinuo Wang, Wei Liu, Jixuan Wang, Yingying Yi and Jing Xu | DrawAA-Net: An AI-Supported Evaluation Tool for Children’s Drawings |
| Danielle R Thomas, Conrad Borchers, Shambhavi Bhushan, Sanjit Kakarla, Alex Houk, Ralph Abboud, Erin Gatz, Shivang Gupta and Kenneth R Koedinger | Improving Open-Response Assessment with LearnLM |
| Kester Yew Chong Wong, Bin Wu, Sahan Bulathwela and Mutlu Cukurova | Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models |
| Mehmet Arif Demirtas, Claire Zheng, Max Fowler and Kathryn Cunningham | Generating Planning Feedback for Open-Ended Programming Exercises with LLMs |
| Abigail O’Neill, Kanav Mittal, Hanna Schlegel, Gireeja Ranade and Narges Norouzi | Modeling Student Knowledge Progression in Intelligent Tutoring Interactions |
| Sébastien Lallé, Sina Nikneshan, Solène Lambert, Vanda Luengo and Ali Abou-Hassan | Automated Detection of Attention and Memory in Educational Videos Using Eye-Tracking, Dynamic Areas of Interest and Feature Fusion |
| Jessica Vitale, Berk Kocabagli, Shyamoli Sanghi, Alyssa Van Camp, Sarah Miller and Berk Coker | From Noisy Classroom Transcripts to Actionable Feedback: Fine-Tuning GPT-4o to Detect Teachers’ Opportunities to Respond |
| Jie Cao, Chloe Qianhui Zhao, Xian Chen, Shuman Wang, Christian Schunn, Kenneth R. Koedinger and Jionghao Lin | From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation |
| Cheng Tang, Bin Li, Haichuan Yang, Gen Li, Li Chen, Boxuan Ma and Atsushi Shimada | Ensemble dendritic neuron models for visual analytics of learning behavior and early risk prediction |
| Eduardo Davalos, Yike Zhang, Namrata Srivastava, Jorge Alberto Salas, Sara McFadden, Sun-Joo Cho, Gautam Biswas and Amanda Goodwin | LLMs as Educational Analysts: Transforming Multimodal Data Traces into Actionable Reading Assessment Reports |
| Sierra Wang, John Mitchell and Chris Piech | AI Web Agents Can Effectively Guide Lesson Design and Predict Student Outcomes |
| Markos Stamatakis, Joshua Berger, Christian Wartena, Ralph Ewerth and Anett Hoppe | Enhancing the Learning Experience: Using Vision-Language Models to Generate Questions for Educational Videos |
| Yang Jiang, Jiangang Hao, Wenju Cui, Emily Kerzabi and Patrick Kyllonen | Uncovering Transferable Collaboration Patterns Across Tasks Using Large Language Models |
| Conrad Borchers and Tianze Shou | Can Large Language Models Match Tutoring System Adaptivity? A Benchmarking Study |
| Hyeon Jin, Chaewon Yoon and Hyun-Je Song | Curriculum Planning for Independent Majors with Large Language Models |
| Samuel Hum, Matt Gadbury, Jeffrey Ginger and H. Chad Lane | BarrelBots: ChatGPT Feedback for Middle School Student Creative Minecraft Artifacts |
| Yeo Jin Kim, Daeun Hong, Wookhee Min, Snigdha Chaturvedi, Cindy Hmelo-Silver and James Lester | Collaborative Problem-Solving Dialogue Analysis with Interpretable Temporal Clustering |
| Sebastian Simon, Elham Tajik, Conrad Borchers, Bahar Shahrokhian, Sreecharan Sankaranarayanan, Francesco Balzan, Sebastian Strauss, Sree Aurovindh Viswanathan, Amine Hatun Ataş, Mia Čarapina, Li Liang and Berkan Celik | Comparing Human and LLM-Generated Inductive Thematic Analyses: Assessing Agreement in Coding Consistency and Interpretative Accuracy |
| Priyanka Khare, Halim Acosta, Dan Carpenter, Haesol Bae, Chen Feng, Bradford Mott, Seung Lee, Krista Glazewski, Cindy Hmelo-Silver and James Lester | Predicting Facilitator Interventions in Collaborative Game-Based Learning with Student Dialogue Analysis |
| Mariah Bradford, Nikhil Krishnaswamy and Nathaniel Blanchard | The Impact of Background Speech on Interruption Detection in Collaborative Groups |
| Zhifei Hu, Alexandra I Cristea and Feng Xia | Integrating GNN and Knowledge Graph Patches in MOOC Recommendation |
| Yu Wang, Madhumitha Gopalakrishnan and Yoav Bergner | Using Generated Rubrics to Provide a Window into Item Evaluation with Multi-Agent LLMs |
| Jadon Geathers, Yann Hicke, Colleen Chan, Niroop Rajashekar, Sarah Young, Justin Sewell, Susannah Cornes, Rene Kizilcec and Dennis Shung | Benchmarking Generative AI for Scoring Medical Student Interviews in Objective Structured Clinical Examinations (OSCEs) |
| Soroush Hashemifar and Sherry Sahebi | Personalized Student Knowledge Modeling for Future Learning Resource Prediction |
| Zhiwei Huang and Zitao Liu | HCGKT: Hierarchical Contrastive Graph Knowledge Tracing with Multi-level Feature Learning |
| Ange Tato and Roger Nkambou | Can LLM Generate Accurate Bayesian Networks to Enhance Knowledge Tracing ? |
| Daniel Weitekamp, Momin Siddiqui and Christopher Maclellan | TutorGym: A Testbed for Evaluating AI Agents as Tutors and Students |
| Inti Bistolfi, Susanne de Mooij, Joep van der Graaf and Inge Molenaar | Towards Real-time Automated Self-Regulated Learning Detection in Essays |
| Md Mirajul Islam, Xi Yang, Rajesh Debnath, Adittya Soukarjya Saha and Min Chi | A Generalized Apprenticeship Learning Framework for Capturing Evolving Student Pedagogical Strategies |
| Martha Shaka, Diego Carraro and Kenneth N. Brown | Personalised Code and Error predictions in programming education via Large Language Models |
| Wolfgang Gritz, Hewi Salih, Ralph Ewerth and Anett Hoppe | From Formulas to Figures: How Visual Elements Impact User Interactions in Educational Videos |
| Shir Drive and Ido Roll | Towards a Task-Agnostic Assessment of Self-Regulated Learning in Modeling Activities |
| Chenyan Zhao, Mariana Silva and Seth Poulsen | Language Models are Few-Shot Graders |
| Wanyong Feng, Peter Tran, Stephen Sireci and Andrew Lan | Reasoning and Sampling-Augmented MCQ Difficulty Prediction via LLMs |
| Alessio Ferrato, Carla Limongelli, Daniele Schicchi, Davide Taibi and Edoardo Cipriano | Leveraging Large Language Models to Assist Teachers in Code Grading |
| Ying Na and Shihui Feng | LLM-Assisted Automated Deductive Coding of Dialogue Data: Leveraging Dialogue-Specific Characteristics to Enhance Contextual Understanding |
| Boxuan Ma, Sora Fukui, Yuji Ando and Shinichi Konomi | Personalized Language Learning Using Spaced Repetition Scheduling |
| Steven Coyne, Diana Galvan-Sosa, Ryan Spring, Camélia Guerraoui, Michael Zock, Keisuke Sakaguchi and Kentaro Inui | Annotating Errors in English Learners’ Written Language Production: Advancing Automated Written Feedback Systems |
| Jaewook Lee, Jeongah Lee, Wanyong Feng and Andrew Lan | From Text to Visuals: Using Large Language Models to Generate Math Diagrams with Vector Graphics |
| Naiming Liu, Shashank Sonkar and Richard Baraniuk | Do LLMs Make Mistakes Like Students? Exploring Natural Alignment in Language Model and Human Error Patterns |
Short Papers
| AUTHORS | TITLE |
|---|---|
| Anisha Gupta, Wookhee Min, Dan Carpenter, Roger Azevedo and James Lester | Improving Student Modeling in Game-Based Learning with Multi-Task Learning for Stealth Assessment and Goal Recognition |
| Shengxin Hong, Chang Cai, Haiyue Feng, Sixuan Du, Siyuan Liu and Xiuyi Fan | “My Grade is Wrong!”: A Contestable AI Framework for Interactive Feedback in Evaluating Student Essays |
| Jade Mai Cock, Valentine Delevaux, Ido Roll, Richard Lee Davis and Tanja Käser | One Code to Predict Them All: Universal Encoding for Inquiry Modeling |
| Mitra Purandare, Tobias Rothlin, Frieder Loch, Lars-Jochen Thoms and Johannes Huwer | SMARE: Structure Matching and Recognition Engine For Hand-Drawn Chemical Formulas |
| Tengju Li, Cunling Bian, Kaiquan Chen and Weigang Lu | Large Language Models for Zero-Shot Exercise Recommendation in Adaptive Learning |
| Mohammadreza Molavi, Mohammadreza Tavakoli, Mohammad Moein, Abdolali Faraji and Gábor Kismihók | LLM-Driven Personalized Answer Generation and Evaluation |
| Matthew Perez, Berk Coker, Kemal Berk Kocabagli, Jessica Vitale and Alyssa Van Camp | Multimodal Classroom Diarization with GPT Re-Scoring: Teacher or Student? |
| Sungjin Nam | Ordinal Classification for Transformer-Based Automated Essay Scoring Models |
| Wenting Sun and Jiangyue Liu | Leveraging Speech Data and Text Classification for Socially Shared Regulation Identification in Collaborative Problem Solving |
| Rick Dijkstra, Max Hinne, Eliane Segers, Josh Ring and Inge Molenaar | Predicting self-regulated learning support needs during learning |
| Tsubasa Minematsu and Atsushi Shimada | Note-Driven RAG for Learner Performance Estimation via Controlling LLM Knowledge |
| Xiner Liu, Zhanlan Wei, Ryan S. Baker, Shari J. Metcalf, Jiayi Zhang, Amanda Barany, Stefan Slater, Luke Swanson and David Gagnon | Integrating Large Language Models and Machine Learning to Detect Struggle in Educational Games |
| Vitor Rolim, Cleon Xavier, Luiz Rodrigues, Newarney Torrezão da Costa, Rafael Dueire Lins, Dragan Gasevic and Rafael Ferreira Mello | The Impact of Oversampling Techniques on the Detection of Cognitive Presence |
| Yongan Yu, Alexandre Krantz and Nikki G. Lobczowski | From Recall to Reasoning: Automated Question Generation for Deeper Math Learning through Large Language Models |
| Yuyan Wu, Miguel Arevalillo-Herráez and David Arnau | A study of the Influence of the Attention Mechanism on Knowledge Tracing |
| Takahiro Saito, Hung Tuan Nguyen, Kanako Komiya, Tsunenori Ishioka and Masaki Nakagawa | Similarity-based Scoring Model for Handwritten Answers in Japanese Workbooks |
| Chang Liu, Loc Hoang, Andrew Stolman, René F. Kizilcec and Bo Wu | Understanding Student Engagement with Large Language Model-Powered Course Assistants |
| Cédric Pruski, Marcos Da Silveira, Marie Gallais, Gabriele Marconi, Celia da Costa Pereira and Andrea Tettamanzi | Bridging Skill Gaps: Combining generative and symbolic AI for personalized lifelong learning pathways |
| Scott Frohn, Tyler Burleigh and Jing Chen | Automated Scoring of Short Answer Questions with Language Models: Impact of Model, Item, and Rubric Design |
| Lui Yoshida | Do We Need a Detailed Rubric for Automated Essay Scoring using Large Language Models? |
| Xunyi Gao, Shamya Karumbaiah, Adi Dalal, Indrani Dey, Dana Gnesdilow and Sadhana Puntambekar | A Comparative Analysis of LLM and Specialized NLP System for Automated Assessment of Science Content |
| Hasnain Heickal and Andrew Lan | Learning Code-Edit Embeddings to Model Student Debugging Behavior |
| Luiz Rodrigues, Andres Felipe Zambrano, Maciej Pankiewicz, Amanda Barany and Ryan Baker | Usage Patterns and Performance Gains in Gamified Online Judges: A Data-driven Analysis informed by Cognitive Psychology in CS1 |
| Abisha Thapa Magar, Stephen Fancsali, Vasile Rus, April Murphy, Steve Ritter and Deepak Venugopal | Analyzing Strategies in MATHia with BERT |
| Nazia Alam, Kimia Fazeli, Xiaoyi Tian, Min Chi and Tiffany Barnes | Determining Problem Type Using Deep Reinforcement Learning in an Intelligent Tutor |
| Pauline Aguinalde, Jinnie Shin, Sara Smith and María S. Carlo | Modeling Linguistic Synchrony in Online L2 Tutoring: A Transformer-Based Perspective |
| Wesley Morris, Langdon Holmes, Joon Suh Choi and Scott Crossley | Uncovering Differential Sensitivity toward Linguistic Features of Cohesion in Large Language Models |
| Mark Tič, Miguel Arevalillo-Herráez and Dejan Lavbič | On using Large Language Models for Rubric-Based Open Question Evaluation |
| Hai Li and Wanli Xing | Enhanced Knowledge Tracing: Leveraging Multi-Time Series Features from Interaction Process via an Attention-Based Framework |
| Adam Wynn, Jingyun Wang and Xiangyu Tan | Semi-Supervised Speech Confidence Detection using Pseudo-Labelling and Whisper Embeddings |
| Gen Li, Li Chen, Cheng Tang, Daisuke Deguchi, Takayoshi Yamashita and Atsushi Shimada | From Reflections to Motifs: A Graph-Based Analysis of Learners’ Knowledge Construction |
| Andreea Dutulescu, Stefan Ruseti, Denis Iorga, Mihai Dascalu and Danielle Mcnamara | YMCQ: Reasoning-Enhanced MCQ Generation |
| Salima Lamsiyah, Aria Nourbakhsh, Samir El-Amrany and Christoph Schommer | Privacy-Preserving Federated Learning for Student Dropout Prediction: Enhancing Model Transparency with Explainable AI |
| Mengfei Liu, Xian Sheng, Xuequn Shang and Yupei Zhang | Learning Path Planning via Prior-Guided Reinforcement Learning |
| Rina Suzuki, Takahiro Saito, Hisao Usui, Hiroaki Ozaki, Hung Tuan Nguyen, Kanako Komiya, Tsunenori Ishioka and Masaki Nakagawa | Investigating the Influence of Automated Transcription Error Correction on Automated Grading for Handwritten Japanese Answers |
| Kiyoshige Garces, Gloria Milena Fernandez-Nieto, Mladen Rakovic, Xinju Li, Tongguang Li, Linxuan Zhao, Dragan Gasevic, Junyu Xuan and Hua Zuo | Transfer Reinforcement Learning for Self-Regulated Learning Support: An evaluation using Successor Representations |
Teaching AI
Full Papers
| AUTHORS | TITLE |
|---|---|
| Xiaofei Zhou, Hanjia Lyu, Yuxin Sa, Mengfan Li, Advait Sarkar, Jiebo Luo, Michael Daley and Zhen Bai | Empower K-12 Teachers to Create ML-Supported Scientific Inquiries |
| Yiling Zhao, Audrey Michal, Nithum Thain and Hari Subramonyam | Thinking Like a Scientist: Can Interactive Simulations Foster Critical AI Literacy? |
| Mahir Akgun and Hadi Hosseini | AI Education in a Mirror: Challenges Faced by Academic and Industry Experts |
| Cansu Koyuturk, Emily Theophilou, Sabrina Patania, Gregor Donabauer, Andrea Martinenghi, Chiara Antico, Alessia Telari, Alessia Testa, Sathya Buršić, Franca Garzotto, Davinia Hernandez-Leo, Udo Kruschwitz, Davide Taibi, Simona Amenta, Martin Ruskov and Dimitri Ognibene | Understanding Learner-LLM Chatbot Interactions and the Impact of Prompting Guidelines |
| Nurun Nahar, David Howard, Kater Akeren, Paul Hollins, Emmanuel Ngele and Graeme Prescott | Cultivating AI literacy for lifelong learning in higher education students: A four-step conceptual framework |
| Jacob Puthipiroj, Thepchai Supnithi and Nongnuch Ketui | Structured Hackathons: A Pedagogical Model For AI Education |
| Zach Anthis and Manolis Mavrikis | In Search of Answers: Supporting Educators to Understand AI through Heuristic Thinking |
| Min Zhuang, Shiyan Jiang, Daria Smyslova, Carolyn Rose and Jie Chao | Epistemic Curiosity in K-12 AI education: A Trajectory Analysis |
Short Papers
| AUTHORS | TITLE |
|---|---|
| Lechen Zhang, Linda Mannila and Jalal Nouri | Mapping the Landscape of AI Literacy: A Review of Systematic Reviews on Research Trends and Gaps |
| Chang Cai, Jamie Duell, Daisy Minghui Chen, Weng Kin Ho, Bernett Teck Kwong Lee, Fang Li, Siyuan Liu, Olivia Ng, Vidya Sudarshan, Shangming Zhou, Gaoxia Zhu and Xiuyi Fan | Advancing AI Literacy in Medical Education: A Medical AI Competency Framework Development and Training Program Design |
| Krzysztof Michalik | AI for Education, Education of AI: Exploring the Role of Explainable AI (XAI) through LogosXAI |
| Nora Patricia Hernandez Lopez, Xiao Hu and Davy Tsz Kit Ng | Insights from Culturally Relevant AI Education Programme for Secondary School Students |
| Daniel Ritchie, Tamara Tate, Yi Zhang, Kristi Werry and Mark Warschauer | Supporting Middle School English Teachers’ AI Literacy Goals Through a Generative AI Tutor |
| Kai Löser | Reading and Writing at a Distance: Integrating Corpus Literacy and AI Literacy in the Classroom |
Theoretical Aspects of AIED & AI-Based Modeling for Education
Full Papers
| AUTHORS | TITLE |
|---|---|
| Zhenhui Gu, Alyssa Sha, Bernardo Nunes and Juan Perez | Effectiveness of Forgetting and Question Difficulty in Deep Knowledge Tracing |
| Vedant Bahel, Harshinee Sriram and Cristina Conati | Personalizing explanations of AI-driven hints to users’ characteristics: an empirical evaluation |
| Dmitri Droujkov, Andrew Emerson, Dan Carpenter, Xiaoyi Tian, Roger Azevedo and Tiffany Barnes | Investigating the Impact of Confusion and Agency on Motivation in a Game-Based Learning Environment |
| Gerben van der Hoek, Johan Jeuring and Rogier Bos | Buggy rule diagnosis for combined steps through final answer evaluation in stepwise tasks |
| Minghao Cai, Michael Guevarra, Yalmaz Abdullah and Carrie Demmans Epp | Unveiling the Interplay Between Affect and Cognitive Load During Simulation-based Training |
| Martina Vincoli, Niklas Scholz and Tomohiro Nagashima | Multidimensional Student Agency in Learning with AI: A Conceptual Framework and Design Implications |
| Paras Sharma, Daniel Fritsch, Yuya Asano, Quentin King-Shepard, Tyree Langley, Tristan Maidment, Diane Litman, Timothy Nokes-Malach, Adriana Kovashka, Nikki Lobczowski and Erin Walker | Beyond Static Measures: Temporal Analysis of Lexical Alignment in Human-Human Learning With a Teachable Robot |
| Zhiwei Yang, Longtao Wang, Jiahua Yang, Rongxin Huo, Huiru Lin, Yuxuan Zhou and Weiqi Luo | Local-Global Cascaded Ensemble Learning on Hybrid Experts for Knowledge Concept Tagging |
Short Papers
| AUTHORS | TITLE |
|---|---|
| Pablo Arnau-González, Yuyan Wu, Sergi Solera-Monforte, David Arnau and Miguel Arevalillo-Herráez | Predicting User Actions in Algebra Intelligent Tutoring Systems with Markov Models |
| Chidimma Opara | Distinguishing AI-Generated and Human-Written Text Through Psycholinguistic Analysis of Stylometric Features |
| Guher Gorgun, Minghao Cai and Carrie Demmans Epp | Modeling Intrinsic Load: Can Item Difficulty Be a Reasonable Proxy? |
| Sein Minn and Roger Nkambou | Enhanced Interpretable Knowledge Tracing for Students’ Performance Prediction with Human-understandable Feature Space |
| Yuya Asano, Diane Litman, Paras Sharma, Daniel Fritsch, Quentin King-Shepard, Timothy Nokes-Malach, Adriana Kovashka and Erin Walker | Multi-party Lexical Alignment in Collaborative Learning with a Teachable Robot |
| Marshall An and John Stamper | Deceptive Overgeneralization in Adaptive Learning |
| Shashank Sonkar, Naiming Liu, Xinghe Chen and Richard Baraniuk | The Imitation Game for Educational AI |
| Gerben van der Hoek, Johan Jeuring and Rogier Bos | Combining model tracing and constraint-based modeling for multistep strategy diagnoses |