amadigi

Department of Digitalization

Anoush
Margaryan
Professor


Room: HOW/60-3.01b
E-mail: ama.digi
Anoush
Presentation

Dr Anoush Margaryan is Professor in the Department of Digitalization and holds the Endowed Chair of Blended Learning as part of CBS's cross-institutional, strategic project 'Research in Blended Learning' (2019-2024). Professor Margaryan leads the Learning Practices in the Platform Economy (LeaP) research programme.

Anoush is a learning scientist specialising in workplace and organisational learning. She studies how people learn in the platform economy workplaces, individually and as part of collectives (organisations, networks) and how teaching and learning in educational institutions can be better aligned with the requirements of the world of work. Her research programme comprises two strands: (i) workplace learning practices in the platform economy, focusing on behavioural self-regulation of learning in the workplace (strategies, antecedents and factors); and (ii) implications of the emergent modes of platform work for educational institutions, focusing on principles, models and policies of instructional design to foster alignment between the worlds of education and work. Anoush works at the intersection of workplace and organisational learning, sociology, psychology, organisational studies, and platform studies drawing on mixed-method research and the Life Course perspective.

Anoush has led 19 collaborative, interdisciplinary, intersectoral, international research projects, funded by the UK Economic and Social Research Council (ESRC), Shell, BP, ConocoPhilips, Centrica, Energy Institute, the UK Higher Education Academy, the European Centre for the Development of Vocational Training (Cedefop) and the Volkswagen Foundation. She has received international awards for research excellence such as Alexander von Humboldt Senior Fellowship (2016-2018); Excellence in Research-to-Practice Award from the American Society of Training and Development (2005), and Shell Research Fellowship (2008-2010). For further details see Anoush Margaryan's personal website
 

Primary research areas
  • Workplace learning
  • Self-regulation of learning (behaviours, antecedents, factors)
  • Learning and skills in online labour platforms
  • Future of work and skills
  • Technology-enhanced learning
  • Artificial Intelligence and skills
Administrative tasks
Social media
Links
Link to this homepage
www.cbs.dk/en/staff/amadigi
Courses
Supervision

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:
2022
Anoush Margaryan; Julian Albert; Timothy Charlton-Czaplicki / Workplace Learning in Crowdword Questionnaire (WLCQ) : Measuring Self-regulated Learning and Skill Development in Online Platform Work.
In: International Journal of Training and Development, 16.5.2022
Journal article > peer review
2021
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
Anoush Margaryan; Heather Hofmeister / The Life Course : An Interdisciplinary Framework for Broadening the Scope of Research on Crowdwork.
In: Human Computation, Vol. 8, No. 1, 2021
Journal article > peer review
2020
Anoush Margaryan; Timothy Charlton-Czaplicki; Ujwal Gadiraju / Learning and Skill Development in Online Platform Work : Comparing Microworkers’ and Online Freelancers’ Practices (CrowdLearnPlus).
Frederiksberg : Copenhagen Business School, CBS 2020, 62 p.
Report
2019
Anoush Margaryan / Comparing Crowdworkers’ and Conventional Knowledge Workers’ Self-regulated Learning Strategies in the Workplace
In: Human Computation, Vol. 6, No. 1, 2019, p. 83-97
Journal article > peer review
Ujwal Gadiraju; Mahdi Bohlouli; Gianluca Demartini; Anoush Margaryan / JobNoW’19 – 1st International Workshop on Job Knowledge Discovery on the Web & Social Media
In: HT '19. Proceedings of the 30th ACM Conference on Hypertext and Social Media. ed. /Claus Atzenbeck; Jessica Rubart; David E. Millard. New York, NY : Association for Computing Machinery 30th ACM Conference on Hypertext and Social Media. HT '19, 2019, p. 305-306
Preface/postscript > peer review
David Guile; Martin Krzywdzinski; Anoush Margaryan / New Models of Digital Production : Issues of Autonomy, Immaterial Expertise and Learning.
Abstract from 11th International Conference on Researching Work and Learning , 2019, p. 32-34
Conference abstract for conference > peer review
Laura Larke; Sian Brooke; Huw Davies; Anoush Margaryan; Vili Lehdonvirta / Skills Formation and Skills Matching in Online Platform Work
In: Proceedings of the British Sociological Association Annual Conference 2019: Abstracts by Session. Durham : BSA Publications Ltd 2019, 1 p., p. 25
Conference abstract in proceedings > peer review
Anoush Margaryan / The Relationship Between the Nature of Tasks and Workplace Learning Practices in Crowdwork
Abstract from 11th International Conference on Researching Work and Learning , 2019, p. 50-51
Conference abstract for conference > peer review
More results... (total 86 results)
Outside activities

2018-2021:

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