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    Welcome to the South East Asian Association for Institutional Research (SEAAIR)! We are a dynamic community dedicated to advancing research and understanding of post-secondary education institutions in South East Asia. Our mission is to support and promote research that improves institutional planning and operations, fostering collaboration and knowledge-sharing across the region. Through comparative research, publication, and information exchange, we aim to enhance the quality and relevance of higher education in South East Asia. For more detail, CLICK HERE

     

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    2021 SEAAIR Virtual Conference

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    2021 SEAAIR Virtual Conference

    26th Annual SEAAIR Conference

    Please mark your calendar for the 26th Annual SEAAIR Conference (October 19 - 21, 2026), hosted by Ming Chuan University, in Taipei, Taiwan.

    Theme:

    Reimagining Institutional and Educational Excellence in the Age of AI and Data

    Sub-Themes:

    1. From Data to Decisions: Leveraging AI in Institutional Planning, University Governance and Strategic Foresight
    2. Data-Driven Quality Assurance: Innovations in Assessment and Accreditation
    3. Building Institutional Readiness and Capabilities of AI in Teaching, Learning & Research
    4. Digital Transformation of Educational Efficiencies and Effectiveness: Roles of IR and IT Integration
    5. Ethics and Pragmatics of AI in Education and IR

    From networking with peers to presentation sessions by leading experts in the field, the annual conference is the must attend event for academics, educators, researchers and practitioners in higher education.


    Important Dates

    March - July

    Call for Preprint Submission

    15 July

    Deadline for Preprint Submission

    15 August

    Notification of Accepted Preprint

    1 September

    Deadline of Early Bird Registration

    15 September

    Submission of Revised Preprint

    25 September

    Deadline for Conference Registration

    1 October

    Completion of Conference Preprints

    19-21 October

    Conference Proper