Department of Digitalization


Room: HOW/60-3.01b

Anoush Margaryan is Professor and Endowed Chair in the Department of Digitalization at Copenhagen Business School.

She studies how people learn and develop skills in the workplace and how digital technologies and learning practices are mutually shaped and reshaped within emergent forms of work, such as online labour platforms and AI-mediated work settings. Her research draws on theories and approaches from learning sciences, psychology, sociology and organisational studies, with a particular focus on the application of theories of human agency, self-direction and self-regulation, and the life course in learning and development in the workplace.

She has over 130 scientific publications, including 2 books, co-authored with over 55 collaborators internationally. Anoush Margaryan has led over 20 collaborative, interdisciplinary, intersectoral, international research projects funded by the UK Economic and Social Research Council (ESRC), Shell, BP, Energy Institute, the European Centre for the Development of Vocational Training (Cedefop), the Volkswagen Foundation and World Bank.

Anoush Margaryan has received international awards for research excellence such as Alexander von Humboldt Senior Fellowship (2016), Excellence in Research-to-Practice Award from the American Society for Training and Development (2005) and Shell Research Fellowship (2008), among others.

She holds a PhD in Educational Science and Technology from University of Twente in the Netherlands (2006). Prior to joining CBS, she held full professorships at the University of West London (2018) and Glasgow Caledonian University (2015) and worked at the University of Dundee, Goethe University Frankfurt, European Business School (ebs), University of Twente and the American University of Armenia.

Her full CV is available on her personal website.

Primary research areas
  • Workplace learning
  • Future of work and skills
  • Artificial Intelligence and skills
  • Self-regulation and self-direction of learning (behaviours, antecedents, factors)
Administrative tasks
Social media
Link to this homepage

I am interested in supervising Masters, doctoral, and postdoctoral research that explores the following themes.  First, self-regulated learning processes and practices in online labour platforms, tackling research questions such as how people learn in platform work settings; what individual and environmental factors impact upon their ability to self-regulate their learning in these settings. Second, skill formation and skill development in AI-mediated work settings, with research questions including what skill are required to work in AI-mediated settings; which of these skills are uniquely human and which are hybrid human-machine skills; how workers currently develop these skills and how could higher education institutions enable learners to master these skills. Candidates should demonstrate interest in grounding their research in fundamental learning sciences theory, in particular theories of adult learning and development, technology-enhanced professional learning, workplace learning and self-regulated learning.

Selected publications
  • Margaryan, A.; Charlton-Czaplicki, T.; and Gadiraju, U. (2020) Learning and Skill Development in Online Platform Work: Comparing Microworkers’ and Online Freelancers’ Practices. Frederiksberg: Copenhagen Business School. 

  • Lehdonvirta, V.; Margaryan, A.; Larke, L.; Davies, H.; Brooke, S.; and Klausing, S. (2019). Skills Formation and Skills Matching in Online Platform Work: Policies and Practices for Promoting Crowdworkers’ Continuous Learning. University of Oxford and Copenhagen Business School. 

  • Margaryan, A. (2019). Workplace learning in crowdwork: Comparing microworkers’ and online freelancers’ practices. Journal of Workplace Learning, 31(4), 250-273. 

  • Margaryan, A. (2019). Comparing crowdworkers’ and conventional knowledge workers’ self-regulated learning strategies in the workplace. Human Computation, 6(1), 83-97. 

  • Littlejohn, A., & Milligan, C., Fontana, P., & Margaryan, A. (2016). Professional learning through everyday work: How finance professionals self-regulate their learning. Vocations and Learning, 9(2), 207-226. 

  • Milligan, C., Fontana, P., Littlejohn, A., & Margaryan, A. (2015). Self-regulated learning behaviour in the finance industry. Journal of Workplace Learning, 27(5), 387-402. 

  • Margaryan, A., Bianco, M., & Littlejohn, A. (2015). Instructional quality of Massive Open Online Courses (MOOCs). Computers and Education, 80, 77-83. 

  • Littlejohn, A., & Margaryan, A. (2014) (Eds.). Technology-enhanced professional learning: Processes, practices and tools. London: Routledge.


Publications sorted by:
Anoush Margaryan; Annemette Kjærgaard; Lena Hercberga / Research in Blended Learning Final Report
Frederiksberg : RiBL, Copenhagen Business School 2024, 52 p.
Report > peer review
Anoush Margaryan / The Duality of Global Online Labour Platforms as Restrictive-Expansive Sites of Workplace Learning and Skill Development
In: International Journal of Training and Development, 2024
Journal article > peer review
Anoush Margaryan / Why ‘Machine Learning’ is a Misnomer
WWW : SSRN: Social Science Research Network 2024, 22 p.
Working paper
Anoush Margaryan / AI and Skills in the Workplace : An Integrative Research Agenda.
2023, 10 p.
Working paper > peer review
Anoush Margaryan / Artificial Intelligence and Skills in the Workplace : An Integrative Research Agenda.
In: Big Data & Society, Vol. 10, No. 2, 2023
Comment/debate > peer review
Anoush Margaryan / The Duality of Online Labour Platforms as Restrictive-expansive Sites of Professional Learning
Paper presented at 20th Biennial EARLI Conference , 2023
Paper > peer review
Anoush Margaryan / The Duality of Online Labour Platforms as Restrictive-expansive Sites of Professional Learning and Development
In: Proceedings of the Biannual Conference of the Learning and Professional Development Special Interest Group, European Association of Research on Learning and Instruction2022
Article in proceedings > peer review
Anoush Margaryan; Julian Albert; Timothy Charlton-Czaplicki / Workplace Learning in Crowdwork Questionnaire (WLCQ) : Measuring Self-regulated Learning and Skill Development in Online Platform Work.
In: International Journal of Training and Development, Vol. 26, No. 3, 9.2022, p. 495-515
Journal article > peer review
Timothy Charlton-Czaplicki; Anoush Margaryan / Exploring the Role of Social Media Support Communities in Online Freelancers’ Learning and Skill Development.
Abstract from Work21 Conference , 2021
Conference abstract for conference > peer review
Anoush Margaryan; Timothy Charlton-Czaplicki; Ujwal Gadiraju / Skill Development in the Platform Economy : Comparing Microwork and Online Freelancing .
Luxembourg : Publications Office of the European Union 2021, 74 p. (Cedefop Research Paper, No. 81)
Report > peer review
More results... (total 93 results)
Outside activities


  • Expert grant evaluator for Horizon 2020 Transformations 01 Programme; European Science Foundation; Deutsche Forschungsgemeinschaft (DFG); Flemmish Research Council.