During the past four decades, the ACM Symposium on Applied Computing has been amongst the major gathering forums for applied computer engineers, scientists, and application developers worldwide. SAC 2026 is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP). The aim of this track is to bring together researchers and practitioners to discuss advances, challenges, and future directions of artificial intelligence for education.
Track Description
Artificial intelligence (AI) has demonstrated significant potential in addressing various challenges within the education sector. For example, it can customize learning materials, sequence activities, provide individualized feedback, predict learning outcomes, and identify students at risk—enabling more responsive and effective teaching and learning.
Despite these benefits, the use of AI in education has faced criticism for overlooking essential learning processes such as motivation, emotion, and (meta)cognition. Many systems are developed without meaningful involvement from domain experts and stakeholders. There is also a widespread reliance on unreliable explainable AI methods to interpret black-box models, while ethical concerns—such as data inconsistencies and algorithmic bias—are often ignored. Moreover, current AI systems tend to overemphasize automated, individualized instruction, frequently neglecting the cultivation of metacognitive and self-regulated learning skills. Nonetheless, even amid these shortcomings, AI technologies—including machine learning, natural language processing, image processing, and expert systems—are increasingly being incorporated into public education systems.
Given the growing importance of AI in society and supporting education and the existing challenges in their applications, this technical track focuses on AI for education.
Submissions
The AI for education track accepts regular (full) papers and posters. Selected papers, not accepted as full papers, may be accepted as poster papers. These will be presented at a poster session during the Symposium and will be published as three-page extended abstracts in the Proceedings. Additionally, graduate students are invited to submit research abstracts to the Student Research Competition. Accepted papers in all categories will be published in the ACM SAC 2025 proceedings and published in the ACM digital library, indexed by Thomson ISI Web of Knowledge and Scopus.
Important update on ACMs new open access publishing model for 2026 ACM Conferences!
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Important Dates
Submission deadlines : September 26, 2025 (EST)
Notification of paper and SRC acceptance/rejection: October 31, 2025
Camera ready: December 5, 2025
Author registration due date: December 12, 2025
Conference: March 23- 27, 2026
Professor in the School of Digital Technologies at Tallinn University, Estonia
Email: danial.hooshyar@tlu.ee
Professor in the School of Modeling Simulation and Training at the University of Central Florida, USA
Email: roger.azevedo@ucf.edu
Professor in the Department of Computer Science and Media Technology at Linnaeus University, Sweden
Email: marcelo.milrad@lnu.se
Professor in the Center for Research for Learning and Teaching at the University of Jyväskylä, Finland
Email: raija.h.hamalainen@jyu.fi
Tenured Faculty Member at the Max Planck Institute for Software Systems, Germany
Email: adishs@mpi-sws.org
Professor in the Centre for Educational Technology at Tallinn University, Estonia
Email: martl@tlu.ee