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.
SPECIAL SESSIONS LIST
CSME 2025, 6th International Special Session on Computer Supported Music Education
Chair(s): Luca Andrea Ludovico
EKM 2025, 8th Special Session on Educational Knowledge Management
Chair(s): Lilia Cheniti Belcadhi, Christine Lahoud and Marie-Helene Abel
AIG 2025, Special Session on Automatic Item Generation
Chair(s): Gregor Damnik
AIR 2025, Special Session on Emerging and Automated versus Traditional Research Methods
Chair(s): Italo Masiello and John Rack
6th International Special Session on Computer Supported Music Education -
CSME
2025
Paper Submission:
January 30, 2025
Authors Notification:
February 13, 2025
Camera Ready and Registration:
February 21, 2025
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.
8th Special Session on Educational Knowledge Management -
EKM
2025
Paper Submission:
January 30, 2025
Authors Notification:
February 13, 2025
Camera Ready and Registration:
February 21, 2025
Scope
The high volume of information in organizations has led researchers to focus on knowledge management 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 planning for its sustainable development. The use of the KM in education can lead for instance to develop strategies to improve teaching effectiveness and student retention, making decisions, analyze the importance of social media and games in learning, generate exam’s questions from text files, or provide student guidance. For this edition, we welcome submissions reporting original research that explores how KM technologies can solve problems related to the management and analysis of educational information in academic or professional learning institutions
Special Session on Automatic Item Generation -
AIG
2025
Paper Submission:
January 30, 2025
Authors Notification:
February 13, 2025
Camera Ready and Registration:
February 21, 2025
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.
Special Session on Emerging and Automated versus Traditional Research Methods -
AIR
2025
Paper Submission:
January 30, 2025
Authors Notification:
February 13, 2025
Camera Ready and Registration:
February 21, 2025
Scope
Artificial intelligence has received massive attention in education and is revolutionizing how we do research. Large language models can be used to analyse qualitative data quickly. We need to ask, however, whether the outputs are providing a full picture and to understand differences and similarities depending on the techniques used.
In this special sessions we discuss the complementarity among the interpretations produced by the different analytical methods, underscoring the potential of automated methodologies in educational research. Contributions should focus on how different approaches are effective in generating data queries and hypothetical insights. One aim of this special session is to promote reflection and discussion on the use of automated vs traditional methodologies as well as to highlight areas of concordance.