Reviews for Academic Stream - Extended Abstracts (Poster Presentation)
Thank you for supporting iLRN’s peer review process. Your careful and ethical evaluation ensures a high standard of research in immersive learning. Please review each submission fairly, confidentially, and professionally, using the criteria provided in the review form while following established international ethical guidelines listed below. The review form is embedded in EasyChair (have a look at this page to see how to add your review).
What to Evaluate
In the EasyChair form, please provide ratings on:
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Contribution to immersive learning research (must include both immersive technology and learning/education aspects)
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Originality and innovation
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Methodological or theoretical rigor
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Validity and significance of claims and conclusions
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Quality of writing and academic style
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Anchoring in relevant and current literature
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Compliance with Springer LNCS formatting and use of the respective template (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines/)
If helpful, recommend a more appropriate paper category to support the authors.
Constructive, Ethical & Objective Review
iLRN adheres to recognized peer-review ethics. Reviewers are expected to follow:
- COPE Ethical Guidelines for Peer Reviewers https://publicationethics.org/resources/guidelines-new/cope-ethical-guidelines-peer-reviewers
- iLRN Publications Ethics & Malpractice Statement (Reviewers’ Responsibilities) https://www.immersivelrn.org/about/publications-ethics-and-malpractice-statement/
- Springer Nature Reviewer Guidelines https://www.springer.com/gp/editorial-policies/peer-review-policy-process
Your comments to authors should:
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Explain and justify all ratings
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Identify strengths and weaknesses
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Offer specific, actionable suggestions
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Use a respectful, unbiased, and professional tone
--> Do not include personal judgments or assumptions about author identity, background, location, or intent.
--> Maintain confidentiality - do not share, store externally, or reuse content.
--> Do not upload manuscripts into generative AI tools, per COPE and Springer Nature policies.
Evidence-Based Evaluation
For empirical contributions:
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Clear research questions and rationale
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Appropriate methodology and execution
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Transparent reporting of results, limitations, and implications
For theoretical/conceptual contributions:
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Logical and coherent argumentation
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Grounding in recognized scholarly literature
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Clear advancement of conceptual understanding in the field
Evaluate only what is presented in the manuscript.
Literature & Research Integrity
Assess whether:
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Prior work in immersive learning research (i.e. prior ILRN conference proceedings) is properly cited
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The contribution is clearly contextualized within the field
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Citation practices meet academic integrity norms
If you suspect plagiarism, fabricated data, or ethical issues:
→ Report concerns via Confidential feedback to the program committee only.
Overall Recommendation
When rating acceptance suitability:
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Consider both the importance of the contribution and the feasibility of revisions
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Ensure alignment between ratings, recommendation, and review narrative
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Even when recommending rejection, include constructive feedback to help the authors improve
Reviewer Confidence & Confidential Notes
- Indicate your true level of expertise in the confidence field
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Use confidential notes only for communication with Program Committee Chairs (not to authors)
Award Nominations
Nominate a paper only if it demonstrates:
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Outstanding rigor, originality, clarity, and impact
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Clear potential to advance immersive learning research
Thank You!
Your thoughtful review contributes to:
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Excellence in scholarly publication
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A fair and supportive academic review culture
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Growth and advancement of the immersive learning community
For any questions related to ethics or review standards, please reach out to the iLRN2026 Program Chairs or the iLRN Scientific Quality Assurance Team.