Anoush Margaryan

Anoush Margaryan serves as Full Professor and Endowed Chair in the Department of Digitalization at Copenhagen Business School (CBS), concurrently holding a Visiting Research Fellowship at the Oxford Internet Institute (University of Oxford) during the 2024-2025 academic year. Her institutional affiliations span international collaborations including the LeaP Research Programme and Research in Blended Learning initiative.

Her educational foundation includes a PhD in Educational Science and Technology from the University of Twente (2006). Prior academic appointments encompass full professorships at Glasgow Caledonian University (2015) and the University of West London (2018), alongside positions at the University of Dundee, Goethe University Frankfurt, European Business School, and the American University of Armenia.

Margaryan's research critically examines workplace learning dynamics within AI-mediated and platform-based work environments. She investigates how digital technologies reshape skill development through the lens of self-regulated learning, human agency, and life course theory. Her work bridges learning sciences, psychology, sociology, and organizational studies to address emergent challenges in the future of work, with particular focus on distinguishing uniquely human skills from hybrid human-machine capabilities in AI-augmented workplaces.

Analysis of her 15 most recent publications reveals a concentrated research trajectory examining restrictive-expansive duality in online labor platforms, methodological innovations in measuring crowdworker learning (e.g., WLCQ instrument), and integrative frameworks for AI-skills alignment. Thematic clusters emphasize skill taxonomy development, comparative analyses of microwork versus freelancing, and policy interventions for continuous learning in digital labor markets.

• Alexander von Humboldt Senior Fellowship (2016)
• Excellence in Research-to-Practice Award from American Society for Training and Development (2005)
• Shell Research Fellowship (2008)

Margaryan actively supervises Masters, doctoral, and postdoctoral researchers exploring self-regulated learning in platform work and AI-mediated skill formation. Her grant portfolio exceeds 20 interdisciplinary projects funded by UK Research and Innovation, Shell, BP, Energy Institute, Cedefop, Volkswagen Foundation, Carlsberg Foundation, and the World Bank. As Co-director of the Research in Blended Learning initiative (2019-2024), she leads cross-institutional strategic projects while directing the LeaP Research Programme focused on professional learning analytics.