Peer Review Process
Each submitted abstract will undergo a blind review process by 1 - 2 reviewers with relevant research interests. Reviewers will provide assesment and feedback to the editor based on the criteria set below. Based on the reviewers' assessment, the editor will then decide whether an abstract should be accepted or rejected.
Conference Theme & Sub-Themes
Theme: Educational Innovation and Equity in the Age of Artificial Intelligence
Sub-Themes:
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AI in Teaching and Learning: Tools, Ethics, and Pedagogy
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Inclusive and Equitable Education in the Digital Age
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Teacher Professional Development with Technology
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Governance and Policy in the AI Era
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Digital Literacy and Citizenship
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Mental Health in Automated Classrooms
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Indigenous Knowledge and Globalization
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Sustainable Post-Pandemic Innovation
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Data-Driven Decision Making in Education
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Educational Psychology and Mental Health in the Age of Automation
This work is licensed under a Creative Commons Attribution 3.0 License.
Organized by the Department of Education, Faculty of Teacher Training and Education, Universitas Jambi
Supported by the Institute for Research and Community Service (LPPM) Universitas Jambi