KEYNOTES
First Keynote confirmed! Chris Piech
More info coming soon!
Second Keynote confirmed:
Mar Pérez-Sanagustín will represent L@S in a shared panel session.
Short bio:
Mar Pérez-Sanagustín is Associate Professor at the Université de Toulouse III (France), researcher at the Talent Team of the Institute de Recherche Informatique de Tolouse (IRIT), and associate researcher at the Pontificia Universidad Católica de Chile (PUC). Mar also founded the team T4DLab at PUC, and she continuous collaborating with it. Mar worked from 2011 until 2014 as a researcher at the Gradient Lab of the Gradient del Grupo de Aplicaciones y Servicios Telemáticos (GAST) at the Universidad Carlos III de Madrid (UC3M) and as a teacher of the department of Telematics Engineering, where she was with a Post-Doctoral Fellow Alianza 4 Universidades. She is a Doctor in Information and Communication Technologies since July 2011 by the University Pompeu Fabra, where she obtained the cum laude grade with European Mention. During her PhD, Mar completed her studies with a moths stage at the LTRI group from the London Metropolitan University in London. From November 2013 until March 2014 Mar was with a Fulbright fellow visiting the Stanford Research Institute (SRI) in San Francisco (USA). From 2014 until September 2018 she worked as a Associate Professor at the Pontificia Universidad Católica de Chile where she also was the vice-dean of Engineering Education. Currently, she is still associate researcher at this university. Her research focuses on the study of self-regulation in hybrid digital environments and learning analytics. She has participated in 12 funded research projects (4 as PI) and counts with a large list of scientific publications with more than 194 co-authors (46 with 2+ articles). Her current research focuses on the study of self-regulation in hybrid digital environments, learning analytics, human-LLMs collaboration for promoting human agency, and learning and training with Generative AI.
WORKSHOPS
Sixth Annual Workshop on A/B Testing and Platform-Enabled Learning Engineering (PELE)
Learning engineering applies data and learning science principles to better understand outcomes and support improvement research. One important approach is A/B testing. Several systems supporting A/B testing in educational applications have arisen recently, including UpGrade, E-TRIALS, and Terracotta. A/B testing can be part of the puzzle of how to improve educational outcomes in digital learning platforms. To that end, a set of learning platforms has opened their systems to improvement research, with supports necessary for education-specific research designs. This workshop will explore how A/B testing is conducted in educational contexts, how digital learning platforms open new possibilities for research, and how empirical approaches can be used to drive powerful gains in student learning. Papers and demos may address any topics associated with conducting A/B testing with digital learning platforms and learning engineering research.
Link to Workshop Website: https://sites.google.com/carnegielearning.com/pele-2025/home
Advancing the Science of Teaching with Tutoring Data: A Collaborative Workshop with the National Tutoring Observatory
Join us at L@S 2025 for a full-day workshop exploring the science behind effective tutoring and teaching. While tutoring’s impact on student learning is well-documented, critical gaps remain in understanding the in-the-moment instructional moves that drive learning. This workshop, organized by the National Tutoring Observatory (NTO), will bring together researchers, educators, developers, and policymakers to address these challenges. A key focus will be the Million Tutor Moves dataset, an open-access resource leveraging AI to analyze tutoring interactions at scale. The agenda includes paper presentations, an interactive demo, and a panel discussion featuring leading voices in tutoring, AI, and learning analytics. We invite empirical and theoretical paper submissions related, but not limited, to: Tutoring & teaching strategies, De-identification, Modeling of student learning outcome, and Data sharing. Papers will undergo a single-blind review process and be evaluated based on alignment with the workshop theme, relevance, and overall quality. Authors of accepted papers will be invited to present their work.
Link to Workshop Website: https://sites.google.com/andrew.cmu.edu/nto/home
Learnersourcing: Student-generated Content @ Scale: 3rd Annual Workshop
This hybrid full day workshop at L@S 2025 is a unique venue to showcase work and initiatives related to learnersourcing and crowdsourcing in education. Learnersourcing is the practice of involving learners in creating or refining educational content, such as annotating explanations or generating questions, harnessing collective student insights to enhance educational resources. The rise of LLMs complements this practice by enabling new types of activities and facilitating a partnership where the LLM provides feedback to the student and vice-versa. While no submission is required in order to participate, we are accepting papers that are 4 – 6 pages in length. We invite you to participate and submit learnersourcing papers on:
Strategies for engaging and motivating student participation in learnersourcing activities
Exploration of innovative learnersourcing content formats
Methods for evaluating the quality of student-generated content
Incentivizing high-quality student contributions
Techniques for providing actionable feedback during the learnersourcing process
Training students to develop high-quality resources
Exploring models of co-creating content
Leveraging LLMs to assist in the different stages of the learnersourcing process
Link to Workshop Website: https://sites.google.com/andrew.cmu.edu/learnersourcing