Workshop on advances in Artificial Intelligence for Exploratory Learning
We finalised our AI4EXL Workshop Schedule!
09:00 – 09:15 Welcome, agenda & goals of workshop
09:15 – 09:40 Organiser contributions (10 mins each max including discussion + 5 mins discussion)
09:15 – 09:40 | Tanja Käser and Jade Mai Cock – Key findings and gaps from the systematic review on OELEs (BJET 2022) Roger Azevedo and Megan Wiedbusch – Multimodal trace data and digital twins for team performance in medical simulations |
09:40 – 10:30 Accepted papers talks (12 mins + 3 discussion each + discussion in the end)
MMLA and dashboards (chair/discussant: Gautam) | ||
9:40 – 9:55 | Raquel Horta Bartomeu, Miguel Arevalilo, Olga C. Santos | Detecting Need for Help from Content-Independent Sequential Actions with Deep Learning (pdf) |
09:55 – 10:10 | Namrata Srivastava, Shruti Jain, Clayton Cohn, Naveeduddin Mohammed, Umesh Timalsina, Gautam Biswas | LearnLens: An AI-Enhanced Dashboard to Support Teachers in Open-Ended Classrooms (pdf) |
10:10 – 10:30 | Buffer and/or discussion (overall reflections so far) |
10:30 – 11:00 coffee break
11:00 – 11:50 Accepted papers talks (12 mins + 3 discussion each + discussion in the end)
Open Exploratory Tasks (chair/discussant: Ido) | ||
11:00 – 11:15 | Janan Saba, Malak Abu Rmaileh, Tali Gal | Promoting Multivariable Causality Reasoning Through Simulations: The Role of Exploratory Learning in Youth-at-risk Schools (pdf) |
11:15-11:30 | Marco Kragten, Tessa Hoogma and Bert Bredeweg | How to Assess the Quality of Student-generated Qualitative Models during an Open Modelling Task? (pdf) |
11:30 – 11:50 | Overall reflections so far |
11:50 – 12:00 short break (and setup any demos)
12:00 – 12:30 Platforms & architectures
Platforms and architectures (chair/discussant: Manolis) | ||
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12:00 – 12:15 | Organiser contributions (10 mins + 5 mins discussion) Manolis Mavrikis – GenAI vs GOFAI and authoring in exploratory learning | |
12:15 – 12:30 | Jim Goodell | Component Based Research Architecture for Exploratory Learning Environments |
12:30 – 13:00 demos
Open slots to share additional tools or feedback:
Matthieu Branthome, Sebastien Lalle | A Demo of AI Feedback in Pyrates: Supporting Students’ Transition to Text-Based Programming (pdf) |
Sokratis Karkalas & Manolis Mavrikis | Authoring and the SMILE platform demo |
13:00 – 14:00 lunch break
14:00 – 15:00 Discussions, ongoing work (or more demos), future research directions and potential collaborations
15:00 – 15:30 Informal networking
15:30 – 16:00 coffee break
Overview
This full-day workshop at the International Conference on Artificial Intelligence in Education (AIED 2025) invites submissions exploring how AI can meaningfully support exploratory learning. We take a broad perspective on exploratory learning including simulations, microworlds, serious games, inquiry tools, and other open-ended learning experiences and environments collectively referred to as Exploratory Learning Environments (ELEs). Digital ELEs in particular offer powerful pedagogical affordances (e.g., agency) but present significant challenges for learners and educators alike, particularly around self-regulation, personalisation, adaptivity, support, explainability, and equity.
We aim to foster discussion on how AI can scaffold learners’ problem-solving processes and empower learners and educators to facilitate effective, inclusive learning. We refer to AI broadly, including generative AI, more traditional approaches to learner modelling as well as multimodal analytics and learning analytics. The workshop provides a timely venue to reflect on the recent history of research on ELEs and catalyse new collaborations around today’s most promising innovations.
Topics of Interest
We welcome empirical, design-oriented, theoretical syntheses, or system-focused contributions on topics including (but not limited to):
- AI-based modelling
- Pedagogical strategies (e.g. PS-I, inquiry learning) in AI-supported exploratory learning
- Generative AI as co-designer, tutor, or agent in open-ended learning
- Authoring tools for teachers: designing and interpreting AI-driven ELEs
- Explainability, transparency, and trust in adaptive systems for open-ended tasks
- Integration of multimodal data (e.g., clickstreams, gaze, speech, physiological signals)
- Design process (e.g., design-based research, participatory design) and evaluation frameworks for ELEs
Format and Participation
This interactive, discussion-oriented workshop will be grounded in submitted research and framed around key questions for the field. The format includes:
- Community-building via pre- and post-workshop channels
- Brief plenary presentations to seed discussion
- Thematic roundtables (using the Learning Café model) led by moderators
- Interactive demos and collaborative brainstorming
Important Dates
- Submission Deadline: June 9 (23:59 AOE), 2025
- Notification of Acceptance: June 25, 2025
- Workshop Date: July 26 with AIED205 Palermo, Italy – F160
Submission Guidelines
- Paper submissions should be 6 pages (excluding references), but slightly shorter or longer papers, within reason, are welcome. Interactive demo submissions should be up to 2 pages (excluding references). Submissions should be fully anonymised for double-blind review.
- Please use the same Springer format as the main track of the conference (cf. https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines)
- Submit via email at ai4exl2025@gmail.com, attaching the paper and specifying in the email the authors, title, and type of submissions (paper/demo)
- Accepted papers will be published in open-access proceedings (e.g., CEUR-WS). Note that workshop papers are not included in the official conference proceedings.
We particularly encourage submissions that include datasets, tools, or code, and we welcome novel or early-stage work that provokes reflection and discussion.
Organizers
Contact ai4exl2025@gmail.com
Manolis Mavrikis Professor UCL, Knowledge Lab
Sébastien Lallé Associate Professor, Sorbonne University, LIP6
Roger Azevedo Pegasus Professor, University of Central Florida, School of Modeling Simulation and Training
Gautam Biswas Professor of Engineering, Cornelius Vanderbilt, School of Computer Science and Engineering
Jade Mai Cock PhD Student, EPFL, School of Computer and Communication Sciences
Cristina Conati Professor, University of British Columbia, School of Computer Science
Sokratis Karkalas Senior Lecturer in Software Engineering, University of Derby
Tanja Käser Tenure Track Assistant Professor, EPFL, School of Computer and Communication Sciences
James Lester Goodnight Distinguished University Professor, North Carolina state University
Ido Roll Senior Director, ETS, Associate Professor, Technion, Faculty of Education in Science and Technology
Janan Saba Lecturer, The Hebrew University of Jerusalem, Learning Sciences Design-Based Research
Megan Wiedbusch PostDoc, University of Central Florida
Additional members of the international AIED community will serve on the program committee and facilitate workshop sessions.