Special sessions are very small and specialized events to be held during the conference as a set of oral and poster presentations that are highly specialized in some particular theme or consisting of the works of some particular international project. The goal of special sessions (minimum 4 papers; maximum 9) is to provide a focused discussion on innovative topics. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on digital support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.
SYMPOSIA/SPECIAL SESSIONS LIST
CSME 2026, 7th International Special Session on Computer Supported Music Education
Chair(s): Luca Andrea Ludovico
AIG 2026, Special Session on Automatic Item Generation
Chair(s): Gregor Damnik and Paul Lucas Christ
EKM 2026, 9th Special Session on Educational Knowledge Management
Chair(s): Christine Lahoud, Marie-Helene Abel and Yazan Mualla
AI4HE 2026, Special Session on Artificial Intelligence for Higher Education
Chair(s): Thorsten Händler
7th International Special Session on Computer Supported Music Education -
CSME
2026
Paper Submission:
March 24, 2026
Authors Notification:
April 7, 2026
Camera Ready and Registration:
April 15, 2026
Scope
The goal of this special session is to investigate the impact of computer-based approaches on music education. Specifically, contributions should focus on the development and use of hardware devices, software, and, more generally, advanced technologies (e.g., new-generation mobile networks, artificial intelligence, etc.) aiming to support music learning/teaching and to improve player's performance.
Special Session on Automatic Item Generation -
AIG
2026
Paper Submission:
March 24, 2026
Authors Notification:
April 7, 2026
Camera Ready and Registration:
April 15, 2026
Scope
Due to the digitalization of a huge amount of learning processes, the interest for digital assessment methods has been growing in recent years. However, creating test items by hand is a time- and resource consuming procedure.
In the special session, we will discuss Automatic Item Generation (AIG), which is a process that significantly differs from the traditional way of item creation. In AIG, experts do not write single items; rather they create a highly structured representation of the subject area, which is called cognitive model. Afterwards, experts create an item model that can be used as a pattern for an item pool. Lastly, software is used to create a bunch of items by combining the cognitive and the item model.
9th Special Session on Educational Knowledge Management -
EKM
2026
Paper Submission:
March 24, 2026
Authors Notification:
April 7, 2026
Camera Ready and Registration:
April 15, 2026
Scope
The high volume of information in organizations has led researchers to focus on knowledge management (KM) as a form of competitive and success leverage.
The interest in KM for the educational domain has been growing in recent years as a strategic approach for sustainable development.
The use of KM in education can, for instance, help develop strategies to improve teaching effectiveness and student retention, support decision-making, analyze the impact of social media and games in learning, generate exam questions from text files, or provide personalized student guidance.
For this 9th edition, we are opening up to AI-driven educational systems. This new focus highlights the growing impact of Agentic AI, Large Language Models (LLMs), Small Language Models (SLMs), and Explainable AI (XAI) in shaping next generation learning environments. By expanding our scope, we aim to explore how these technologies enhance personalization, automation, and educational decision-making.
We welcome submissions reporting original research that explores how KM technologies and AI technologies (Agentic AI, Generative AI, knowledge graph, ontologies, etc.) can address challenges related to the management and analysis of
educational information in academic or professional learning institutions.
Special Session on Artificial Intelligence for Higher Education -
AI4HE
2026
Paper Submission:
March 24, 2026
Authors Notification:
April 7, 2026
Camera Ready and Registration:
April 15, 2026
Scope
Advancing capabilities of generative AI pose existential challenges to structures, roles, practices, and narratives established in higher education. Simultaneously, developments ranging from LLM-based chatbots, autonomous agents and multi-agent systems to adaptive tutoring systems and AI-supported analytics also open transformative opportunities for universities to redefine teaching, learning, competencies, assessment, academic integrity, and strategic governance.
This Special Session AI4HE addresses these challenges and opportunities by exploring the meaningful integration of AI in universities by combining technological, organizational and educational perspectives. We welcome research on generative AI, intelligent agents and tutors, AI-supported assessment and feedback, institutional transformation, AI literacy, and competence frameworks. The session embraces diverse approaches including conceptual work, theoretical models, empirical studies, case reports, and technical implementations.