Call for Contributions
Practitioners, Industry and Policy (PIP)
Goals
This Call is not asking for scientific papers, but contributions on the role of AI in industry and society, in relation to educational challenges and opportunities. Therefore, we are inviting practitioners, including teachers, educators, learners, education technology companies, product designers, and policy makers, to share AI in Education (AIED) examples and initiatives from industry, schools, higher education, workplaces, and society at-large. We expect this track to be a low barrier of entry allowing researchers to learn from practitioners and policy makers, and allowing practice and policy to be enriched, in turn, by rigorous evidence-based research.
The AIED 2026 Practitioners, Industry and Policy (PIP) Track, consequently, seeks to:
- Stimulate the involvement of teachers, educators as well as industry professionals and product developers
- Encourage the participation of policy makers
- Promote cooperation and learning between these participants
- Focus on creative ideas and innovative practices in AIED
- Propagate descriptions and reflections of practical implementations in AIED
- Disseminate evidence to facilitate effective practice
- Contribute to the discussion and common understanding of AIED in practice
- And, in particular, welcome submissions related to the AIED2026 theme "From Tools To Teammates: Human-AI Synergy For Augmented Learning"
Interpreting the AIED2026 Theme for Practice and Policy
In the PIP track, "From Tools to Teammates" refers to shifts in how AI systems are positioned in educational settings, from passive instruments to active collaborators that influence learning processes, decision-making, and institutional practices. Relevant contributions may address changing teacher and learner roles, AI-supported collaboration, organisational adoption challenges, governance and accountability, or emerging norms around human–AI partnership in education.
Target Groups and Expected Content
Target Participants
The call is open for contributions from a range of different educational contexts and professions to reflect the manifold implementations and perspectives in AIED. We especially invite AIED-related contributions from:
- Teachers, educators, and learners from all educational levels and contexts (e.g. elementary school, high school, higher education, vocational training, workplace learning, and lifelong learning)
- Researchers, instructional technologists, analysts, learning designers, and other staff from educational institutions
- Industry and enterprise representatives such as research scientists, developers, designers, and analysts working on research applications or products
- Policy makers and department leads from non-profit organizations and government bodies
Content and Technologies
To meet the call's goals, we seek submissions that present implementations from education or industry as well as strategies and policies on AIED. Proposed contributions should reflect on practical experiences with AI-supported education or bring together different stakeholders in this field.
We explicitly welcome descriptions and reflections of practical implementations, strategies, and policies, and descriptions of personal experiences using AI in the educational domain from a practical perspective.
Submission Formats
For the Practitioners, Industry and Policy (PIP) track, we accept contributions of min 4 pages up to max 8 pages (excluding references). Papers need to be written in English and include the following details. (Please use the main headings 1-3 as a structure for your paper and use sub-headings of your own choice, if necessary.)
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Description of the AIED implementation, practice or policy (or its intended use)
- Please specify the tool or technology
- The educational goal that was addressed (e.g. inclusive learning, individualisation of learning)
- And the educational level (e.g., secondary school)
- Provide a short description of the participating learners or educational institutions
- And the course, programme or other context of the implementation that is necessary to understand your project
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Reflection of the challenges and opportunities associated with the implementation
- Describe the process of the implementation and how you evaluate the implementation
- Name and reflect on opportunities or possible benefits
- Name and reflect on challenges or things you would like to improve
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Description of future steps
- Describe the next steps you are planning or that are necessary to gain further insight
- Describe what you would need to improve your implementation (e.g. a business partner, more participants, or experiments to validate your claims)
It should be noted that sales pitches are not in the spirit of this track and will be dismissed without review.
Formatting Guidelines
Regular and short papers will be published in Springer CCIS series. Submissions must be in Springer format and have to count between 4 and 8 pages.
Authors should consult Springer's authors' guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers.
Papers that do not use the required format may be rejected without review.
Please submit your paper using EasyChair: https://easychair.org/conferences/?conf=aied26
Please submit your paper using EasyChair: https://easychair.org/conferences/?conf=aied26
Types of Presentations and Review
To provide enough room and opportunities to collaboratively reflect upon practical experiences and ideas with AIED, we offer the following type of presentation during the conference:
- Discussion session spaces: in thematic sessions, contributions based on similar tools, scenarios or educational goals are presented together.
Review Process
All papers submitted to the practitioner track will be double-blind peer-reviewed according to a set of criteria that focus on practice in teaching and learning with AI. Possible criteria to evaluate the papers are "practical relevance", "clarity of presentation", "reflection of the implementation from a practical perspective" and "creativity and innovation".
A special aim of the PIP track is the open-minded discussion with a practical perspective and constructive interaction among the participants - researchers, teachers, developers and policy makers - to learn from the session and each other to find more practical use of AI in the different fields of education.
Please note that contributions to the Practitioners, Industry, and Policy (PIP) track can also be adapted for submissions to the Interactive Event track. For more details, please refer to the related sections/pages within this website.
Important Dates
- Submission deadline: February 15, 2026
- Notification of acceptance: March 13, 2026
- Camera-ready versions due: March 20, 2026