Towards responsible AI-augmented evidence synthesis in Open, Distance, and Digital Education (ODDE)
DOI:
https://doi.org/10.24059/olj.v30iSI2.6749Abstract
This editorial introduces the special issue on evidence synthesis in open, distance, and digital education (ODDE), highlighting the growing importance of rigorous, transparent, and reproducible approaches to research synthesis. It considers emerging opportunities and challenges associated with artificial intelligence in evidence synthesis and proposes five principles for responsible AI-augmented review practices emphasizing methodological rigor, transparency, validation, human scholarly judgment, and reproducibility. The editorial also situates the special issue’s contributions within broader developments in evidence synthesis, including AI and self-regulated learning, learner success and support, theoretical developments in ODDE, and methodological advances.
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Copyright (c) 2026 Olaf Zawacki-Richter, Florence Martin, Melissa Bond, Richard E. West

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