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Reviews for Academic Stream - Full & Short Papers (Oral 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 review form,Please provide ratings for:on:

  • Contribution to immersive learning research (must include both immersive technology and learning/education aspects)

  • Originality &and innovation

  • Methodological or theoretical rigor

  • Validity and significance of claims/claims and conclusions

  • Quality of writing &and communicationacademic style

  • UseAnchoring ofin relevant and current literature

  • Compliance with Springer LNCS templateformatting (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines/) 

RecommendIf helpful, recommend a more appropriate paper category when beneficial to support the authors.

Constructive, Ethical & Objective Review

iLRN follows the COPE Ethical Guidelines and asks all reviewersadheres to follow these internationalrecognized peer-review standardsethics. ofReviewers theare expected to follow:

  • COPE Ethical Guidelines for Peer Reviewers. Based on this, the "Reviewers' Responsibilities" section in the iLRN Publications Ethics & Malpractice Statement has been created, which we would also ask you to follow. Full and Short Papers are considered for iLRN Proceedings published by Springer, so please also take Springer Peer Review Policy, Process and Guidance into account when reviewing the papers.

    Links:

    Your comments to authors must:should:

    • Explain and supportjustify all ratings

    • Highlight

      Identify strengths as well asand weaknesses

    • Provide

      Offer specificspecific, and actionable suggestions

    • Remain

      Use a respectful, unbiased, and professional tone

    --> Do not include personal interpretations of the authorsjudgments or assumeassumptions about author identity, affiliation,background, location, or intent.
    --> Maintain confidentiality —- submissionsdo mustnot notshare, bestore sharedexternally, or reusedreuse beforecontent.
    --> publication,Do andnot upload manuscripts must not be uploaded into generative AI tools.tools, per COPE and Springer Nature policies.

    Evidence-Based Evaluation

    EmpiricalFor submissions:empirical contributions:

    • Clear research questions and rationale

    • Appropriate design, data collection,methodology and analysisexecution

    • Transparent reporting of results, limitations, and implications

    Theoretical/For theoretical/conceptual submissions:contributions:

    • Coherent argumentsLogical and structurecoherent argumentation

    • Grounding in recognized scholarly discourseliterature

    • Clear contributionadvancement toof conceptual advancementsunderstanding in the field

    OnlyEvaluate evaluate based ononly what is actually presented. in the manuscript.

    Literature & Research Integrity

    Assess whether:

    • RelevantPrior work in immersive learning research is properly cited

    • ContributionThe contribution is meaningfullyclearly positionedcontextualized within the field

    • Citation practices followmeet academic integrity norms

    If concernsyou arisesuspect (e.g., plagiarism, fabricated data, or ethical issues)issues:
    → DocumentReport themconcerns via Confidential feedback to the program committee (not in author comments).only.

    Overall Recommendation

    When evaluatingrating acceptance:acceptance suitability:

    • Consider contributionboth the valueimportance of the contribution and revisionthe feasibility of revisions within timeline

    • Ensure alignment between ratings, recommendation, and review narrative

    • Even ifwhen recommending rejection,rejection, provideinclude constructive improvementfeedback adviceto help the authors improve

    Your recommendation should align with your category ratings and review narrative.

    Reviewer Confidence & Confidential Notes

    • Indicate your expertisetrue level of expertise honestly

      in the confidence field

    • Use confidential notes solelyonly for communication with the Program Committee Chairs (not to authors)

    Award Nominations

    Nominate papersa paper only if theyit demonstrate:demonstrates:

    • ExceptionalOutstanding rigor, innovation,originality, clarity, and impact

    • Clear potential to shape futureadvance immersive learning research

     

    Thank You!

    Your workthoughtful ensures:review contributes to:

    • Excellence in scholarly contributionpublication

    • Fair,A supportive,fair and ethicalsupportive academic review processesculture

    • AdvancementGrowth and advancement of the immersive learning research 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.

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