Call for Papers — Special Issue 2027
Computational Thinking and AI in School Informatics and Mathematics
INFORMATICS IN EDUCATION (INFEDU) invites submissions for a Special Issue on the evolving role of Computational Thinking (CT) and Artificial Intelligence (AI) in school informatics and mathematics education.
Guest Editors
Mart Laanpere, Tallinn University, Estonia
Melih Turgut, Norwegian University of Science and Technology, Norway
Download the Special Issue call:
This Special Issue addresses the redefinition of Computational Thinking in the context of rapid advances in AI. While many recent educational initiatives focus on the ad hoc use of generative AI tools in teaching and learning, there remains a critical need to sustain and advance a technology education perspective on AI as an integrated part of CT concepts and practices. Learners need principled understanding of computation, data, algorithms, and the socio-technical implications of AI.
The emergence of AI, particularly machine learning, introduces a paradigmatic shift toward data-driven and probabilistic reasoning. In school informatics and mathematics, this shift creates new opportunities and challenges for curriculum design, pedagogy, assessment, teacher education, and policy. This Special Issue seeks research that develops coherent conceptual, pedagogical, and curricular models for integrating CT and AI in school education.
Themes and topics of interest
- theoretical foundations of Computational Thinking and CT 2.0 in relation to AI;
- integration of CT with data science, machine learning, and mathematics education;
- pedagogical approaches for teaching integrated CT and AI in K–12 contexts;
- assessment frameworks and learning analytics for CT and AI literacy;
- teacher competencies and professional development in CT and AI;
- ethical and societal implications of AI-enhanced CT in school informatics;
- curriculum and policy approaches for CT and AI integration in school informatics and mathematics.
Important dates
| Abstract submission deadline | February 20, 2027 |
| Responses to abstracts | March 20, 2027 |
| Full manuscript deadline | June 15, 2027 |
| Peer review | August 1, 2027 |
| Acceptance decisions | October 25, 2027 |
| Publication | December 10, 2027 |
Submission guidelines
Manuscripts should be submitted through the INFEDU submission system. Authors should follow the journal’s instructions for authors when preparing their manuscripts.
Submit Your Article Instructions for Authors Focus & Scope Manuscript Types Download PDF Call
Why publish in INFEDU? Diamond Open Access — free to read and free to publish — with no submission fees and no APCs.
About INFEDU
INFORMATICS IN EDUCATION (INFEDU) is an international, peer-reviewed journal dedicated to informatics (computer science) education and closely related computing-in-education research. The journal publishes rigorous theoretical, empirical, and methodological studies spanning pre-primary, school, higher education, and informal learning contexts.
INFEDU welcomes strong contributions on programming, computational thinking, AI literacy, curriculum and pedagogy, assessment and measurement, teacher education, equity and ethics, educational engineering, and evidence-based evaluation of computing learning environments and tools.
Published by Vilnius University in cooperation with Tallinn University. Indexed in Web of Science, Scopus, DBLP, DOAJ, ERIC, EBSCO, and other major services.
ISSN: 1648-5831 (printed), 2335-8971 (online)
About journal Focus & Scope Diamond OA Indexed in Journal metrics
INFORMATICS IN EDUCATION (INFEDU) is positioning itself as a world-leading journal for rigorous computer science / informatics education research. We invite submissions that advance understanding of how computational thinking, AI thinking, AI literacy, and related computing concepts are taught, learned, assessed, and applied across K-12, teacher education, higher education, and informal learning.
We particularly encourage original research articles, systematic and scoping reviews, meta-analyses, methodological studies, and conceptual/theoretical papers that generate transferable knowledge for computing education.
- computational thinking, programming, algorithms, data, systems, and AI/ML education;
- AI literacy, responsible AI, ethics, and human-centered AI education;
- assessment, measurement, instruments, rubrics, and validation of CT/AI learning outcomes;
- teacher education, professional development, curriculum design, and classroom practice;
- learning analytics, large language models, and AI-supported tools with clear educational evidence;
- Bebras-style tasks, challenge-based learning, competitions, and community-based approaches to informatics education.
Why publish in INFEDU? Diamond Open Access — free to read and free to publish — with no submission fees and no APCs.
Focus & Scope Manuscript Types Instructions for Authors Submit Your Article
Linked research ecosystem
Bebras International Challenge | ISSEP Conference | ISSEP Proceedings | ISSEP Doctoral Consortium | Olympiads in Informatics
Prof. Valentina Dagienė | VU Education Systems Group | Vilnius University Institute of Data Science and Digital Technologies
Selected INFEDU examples: Bebras as a sustainable community-building model, large language models for Bebras task authoring, teaching machine learning in high school, and ethical thinking in AI curriculum.
