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8-9 July 2027 · Clayton Hotel Chiswick, London, United Kingdom

Call for Papers » Education Technology

Education Technology Conference

This track examines how computing reshapes teaching and learning in practice, from intelligent tutoring and adaptive learning platforms to immersive VR and AR-based instruction and gamified learning environments. We invite contributions grounded in real learning analytics or classroom data, particularly work on collaborative and mobile learning that reflects how students actually study rather than how a platform assumes they study. Submissions may include controlled or field studies measuring learning gains, systems papers describing novel tutoring or analytics platforms, or cognitive and affective modeling work that informs how instructional systems should adapt. Evidence that a technology improves learning outcomes, not just platform engagement or time-on-task, is particularly valued, along with attention to whether gains hold across different learner populations. The track ultimately looks for educational technology that makes people better learners, not just more engaged users.

Round 1 (Open)

  • Submission Deadline: 01 October 2026
  • Notification of Acceptance: 01 November 2026
  • Camera-Ready Submission: 15 November 2026
  • Conference Dates: 8-9 July 2027

Round 2 (Closed)

  • Submission Deadline: 01 December 2026
  • Notification of Acceptance: 15 January 2027
  • Camera-Ready Submission: 31 January 2027
  • Conference Dates: 8-9 July 2027

All times are in Anywhere on Earth (AoE) time zone.

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Topics of Interest

  • Intelligent Tutoring Systems: AI-driven systems that provide personalized instruction and feedback modeled on one-on-one tutoring.
  • Adaptive Learning Platforms: Adaptive systems that tailor content, pace, and instructional strategy to individual learner needs.
  • VR/AR in Education: Immersive technologies applied to instructional design, simulation-based training, and experiential learning.
  • Mobile and Ubiquitous Learning: Learning delivered through mobile devices and embedded in everyday environments, independent of fixed classroom settings.
  • Collaborative Learning: Pedagogical and technological approaches that support group-based, peer-driven learning experiences.
  • Data-Driven Education: Use of data analytics to inform instructional design, policy, and learner support decisions.
  • Gamified Learning Environments: Use of game mechanics and design elements to increase engagement and motivation in educational contexts.
  • Cognitive and Affective Models: Models that account for learners' cognitive processes and emotional states to improve instructional design.
  • Learning Analytics: Collection and analysis of learner data to improve educational outcomes, engagement, and instructional design.
  • Educational Technology Design: Principles and methods for designing effective, usable technology for teaching and learning contexts.

Submission Guidelines

  • We accept initial submission in PDF format only.
  • In order to adhere to the double-blind peer review process, please ensure that no author details, institutional affiliations, country information, or any other identifying information is included in the paper.
  • Authors are responsible for thoroughly proofreading and finalizing their paper before submission. Please note that no changes can be made once the paper is submitted for review. However, if the paper is accepted, authors may make minor revisions before final publication to improve specific sections.
  • Upon submitting the camera-ready version, authors must include complete author details as per the paper format. Author names, email addresses, and their sequence will be considered final as per the submitted camera-ready version.
  • Submissions must be primarily original work. No more than 25% of the content may be derived from previously published material by the same authors, and proper citation is required for any reused content. Therefore, at least 75% of the manuscript should consist of new, unpublished material.

Formatting Guidelines

  • Manuscripts should not exceed 18 pages for the main text (excluding references and appendices of up to 7 pages). Submissions that surpass this limit may be considered at the discretion of the chair, especially for review or survey articles.
  • Manuscripts must present original research and align with the conference's scope and topics.
  • The abstract should adhere to the 150-250 word limit as per the conference guidelines.
  • Authors are responsible for ensuring the accuracy of all quotes, citations, figures, maps, and tables included in their manuscript.
  • Figures and tables should be placed within the manuscript at the appropriate locations where they are referenced, and they must be clear and legible.
  • All figures, tables, references, appendices, algorithms, annexures, and supplementary materials must be clearly numbered, properly cited in the text.
  • Tables must be neatly aligned within the page margins and must not overflow the page boundaries.
  • Figure captions and table headings should be concise, unique, and ideally limited to a maximum of two lines.
  • References should be formatted correctly and consistently, including all the necessary details such as author names, paper titles, publication sources, and years. Every reference listed must be cited in the main text.
  • The use of foreign languages in the manuscript is not allowed unless accompanied by a corresponding English translation.
  • The manuscript must follow the formatting guidelines provided in the template.

Review Process

Submissions will undergo an anonymous (double-blind) review process. As such, your manuscript should not reveal your identity or affiliation. Specifically, you must remove author names and affiliations, anonymize citations and references to your previous related work, and exclude any funding or acknowledgments.

Each paper will be reviewed by at least three regular program committee members or two senior program committee members. Acceptance will be determined based on the paper's novelty, technical depth, elegance, impact (both practical and theoretical), and quality of presentation.

  • Original: The paper should introduce a new idea, project, or issue, offer fresh insights into existing research, present original findings, or provide a novel perspective on existing information.
  • Engaging: The presentation should engage the audience and be interactive, or address community needs in a way that is likely to attract a large audience to the conference.
  • Significant: The paper should address key issues related to enhancing the effectiveness of current techniques, and its content should be clear and widely applicable.
  • Quality: Claims made within the paper should be backed by sufficient data, reference relevant existing work, and transparently acknowledge any limitations.
  • Clear: The outcomes of the paper should be easily understood.
  • Relevant: The paper's topic should be aligned with at least one of the conference’s designated tracks.

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.

Use of AI-Assisting Tools

The conference permits the responsible use of Generative AI (GenAI) tools in manuscript preparation. Authors are required to observe the following:

  • Declare Usage – Any use of GenAI must be disclosed in the manuscript (e.g., in a Declaration on Generative AI section).
  • Maintain Responsibility – Authors must critically review and edit AI-assisted text; unedited AI output is not acceptable.
  • No AI Authorship – GenAI tools cannot be listed as authors. Authorship is limited to humans who take full responsibility for the work.
  • Limit Role of AI – GenAI may support drafting and language refinement, but the development of scientific ideas, arguments, results, and conclusions must be carried out by human authors.
  • Accountability – Authors remain fully accountable for the accuracy, originality, and integrity of their manuscripts.

Note: Non-compliance with these guidelines will be treated as academic misconduct and may result in the removal of published work.