Education & AI systems
(EDUC‑AI‑TION)Etymologically, the word “school” originally meant “leisure,” or σχολή (scholē) in ancient Greek. Today, this foundational sense of leisure has often been lost as modern education focuses heavily on efficiency and structure. However, recent advances in AI technology, particularly generative AI (G-AI), have opened doors to newly creative ways of transmitting and sharing knowledge. This thematic session seeks to explore the transformative potential of AI-driven tools, especially chatbots and conversational agents, in education.
We invite researchers and educators to share insights and innovative solutions that can shape the future of learning. This session welcomes perspectives ranging from critical assessments to enthusiastic endorsements of AI’s role in education. Questions include:
- What is now possible in education with the massive advent of new AI technologies?
- How can education approaches be transformed to meet contemporary needs?
- What standards and best practices should be developed?
- What are the positive aspects, threats, and challenges of AI implementation?
- How can AI tools make education more creative, high-quality, and accessible, especially for underprivileged groups?
- How can G-AI enhance informed decision-making while addressing potential threats and security issues?
Topics
Major topics of interest include but are not limited to the following:
- Personalized Learning Agents: Content delivery based on student personality, learning styles, desires, wishes, and progress.
- Administrative Efficiency: Use cases where chatbots assist in admissions, student queries, and campus navigation.
- Ethical Design in Educational AI: Issues such as data privacy, bias, and the psychological impact of AI on student interactions.
- Impact Assessment: Analysis of chatbot implementation effects on learning outcomes, teacher workload, and institutional efficiency.
These topics bridge practical educational contexts using AI applications with theoretical advancements in intelligence systems.
Thematic Session organizers
- Wróblewska, Anna, Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland
- Nakayama, Minoru, Institute of Science Tokyo, Tokyo, Japan
- Dan, Daniel, MODUL University, Vienna, Austria
Submission rules
- Authors should submit their papers as Postscript, PDF or MSWord files.
- The total length of a paper should not exceed 12 pages IEEE style (including tables, figures and references). More pages can be added, for an additional fee. IEEE style templates are available here.
- Papers will be refereed and accepted on the basis of their scientific merit and relevance to the Topical Area.
- Preprints containing accepted papers will be published online.
- Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore® database.
- Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site.
- Conference proceedings will be submitted for indexation according to information here.
- Organizers reserve right to move accepted papers between FedCSIS Sessions.
Important dates
Thematic Session proposal submission: 26.11.2025- Paper submission (no extensions): 25.05.2025
- Position paper submission: 10.06.2025
- Author notification: 1.07.2025
- Final paper submission, registration: 15.07.2025
- Early registration discount: TBA
- Conference date: September 14-17.09.2025