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Understanding crowdworkers’
learning practices
Anoush Margaryan
Caledonian Academy
Glasgow Caledonian University, UK
@anoush
Vakharia, D. & Lease, M. (2015)Beyond Mechanical Turk: An analysis of paid crowdwork
platforms.
Types of crowdwork
• Microwork (AMT, CrowdFlower):
– microtasks (automated and routine)
– short timeframe (seconds or minutes)
– algorithm-governed
– anonymous
– small pay
– lower barriers to entry
• Online freelancing (Upwork – formerly oDesk,
Freelancer):
– simple or complex projects
– longer timeframe (hours, days or months)
– worker and employer identities more transparent
– professional skills often required
Kuek, S. C., et al. (2015). The global opportunity in online outsourcing. Washington, DC:
World Bank.
Examples of crowdwork tasks
• Data entry
• Graphic design (logos, brochures, web
products and mobile apps, drawing and
illustration)
• Video production
• Transcription
• Writing texts
• Rating sentiment about a product
• Screening and tagging images
• Searching and extracting information from
websites
• Completing surveys
Microwork vs online freelancing
TASKS Microwork Online
freelancing
High complexity
Medium complexity
Low complexity
Economic significance
• Estimated gross revenue (in 2013) -
$2 billion
• Forecast for 2016 - $4.8 billion ($4.4
billion for online freelancing and $0.4
billion for microwork)
• Estimated number of crowdworkers
worldwide – 48 million
Kuek, S. C., et al. (2015). The global opportunity in online outsourcing. Washington, DC:
World Bank.
Demographics
• 2/3 of crowdworkers come from:
– USA
– India
– Philippines
• Predominately male, below 35 y.o.
• Education - university degree:
– 75% of online freelancers
– 33% of microworkers
• Hours worked: majority work for fewer than 20 hrs/w
• Motivation -income generation
– For microworkers – supplementary income
– For online freelancers – the only means of income
Kuek, S. C., et al. (2015). The global opportunity in online outsourcing. Washington, DC:
World Bank.
Why study crowdworker learning?
• Worker self-organisation to learn when there is
no access to traditional workplace learning support
(eg training, access to experienced colleagues)
• Social dimension of workplace learning in
crowdwork
• Learning-intensity of crowdwork
• Enhancing the learning potential of crowdwork
Research design
1. Self-regulated Learning at Work Questionnaire,
SRLWQ (Fontana et al, 2015):
– Personal details (education, profession, employment
status, country, experience level, etc)
– SRL strategies: planning, performance and reflection
– Workplace Learning Activities
– Nature of work tasks (routinisation, decision-making,
expertise & collaboration required, etc)
2. Interviews with crowdworkers (learning pathways,
learning and work goals, motives, aspirations)
3. Interviews with platform providers and employers
(to contextualise crowdworkers’ perspective)
4. Document analysis (training provisions, policies)
Hypotheses
• There are qualitative and quantitative
differences in learning practices
within microwork and online
freelancing
• Learning-intensity of microwork is
lower than that of online freelancing
SRLW Questionnaire
Fontana, P., Milligan, C., Littlejohn, A., & Margaryan, A. (2015). Measuring self-regulated learning in the
workplace. International Journal of Training and Development, 19(1), 32-52
Margaryan, A., Milligan, C., & Littlejohn, A. (2011). Validation of Davenport’s classification structure of
knowledge-intensive processes. Journal of Knowledge Management, 15(4), 568-581.
1. Demographic questions – 10 items
2. Workplace learning activity – 14
items
3. Self-regulated learning – 33 items
4. Typology of work tasks – 10 items
Pilot survey response
Microwork
(CrowdFlower)
–Total n=127
–Incomplete n=30
–Suspicious n=4
–Usable n=93
Online freelancing
(Upwork):
–Total n=30
–Incomplete n=8
–Suspicious n=2
–Usable n=20
Demographics
Upwork (n=20)
• Age range: 1949-1997
– 75% Millennials (1980+)
– 20% Generation X (1965-79)
– 5% Baby Boomers (1946-64)
• Gender:
– Male 40%
– Female 60%
• Countries:
– 25% USA
– 20% Philippines
– 10% each India, Romania,
Serbia
– 5% each Bosnia, Canada,
Pakistan, Thailand, UK
CrowdFlower (n=93)
• Age range: 1950-1996
– 61% Millennials (1980+)
– 32% Generation X (1965-79)
– 7% Baby Boomers (1946-64)
• Gender:
– Male 74%
– Female 26%
• Countries:
– 10% each India, Serbia, Bosnia
– Bulgaria, Venezuela, Greece,
Indonesia, Macedonia, Russia,
Turkey, Bangladesh, Canada, Italy,
Romania, Ukraine, Croatia, Spain,
Vietnam, Algeria, Brazil, Czech
Republic, Estonia, Mexico,
Portugal, Slovakia, Sri Lanka,
Uruguay, USA
Education
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
Secondary School Undergrad Masters Professional
Qualifications
Doctorate
Upwork
CrowdFlower
Employment status
0%
10%
20%
30%
40%
50%
60%
70%
80%
Freelancer FT Employee PT Employee Retired Diasbled Student Homemaker
Upwork
CrowdFlower
Professional background: Online
freelancers
Professional background:
microworkers
Experience on platform
0%
10%
20%
30%
40%
50%
60%
70%
1 yr or less 2-3 yrs 4-10 yrs 11+ yrs
Upwork
ClowdFlower
WLA: Online freelancers
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Acquiring new information
Working alone
Working with others
Following new developments in your field
Performing new tasks
Asking others for advice
Attending a F2F training course
Attending free online courses/tutorials
Using paid online tutorials
Self-studying professional literature
Replicating others’ strategies
Trial and error
Reflecting on your actions
Receiving feedback on your work
Never
Sometimes
Regularly
WLA: microworkers
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Acquiring new information
Working alone
Working with others
Following new developments in your field
Performing new tasks
Asking others for advice
Attending a F2F training course
Attending free online courses/tutorials
Using paid online tutorials
Self-studying professional literature
Replicating others’ strategies
Trial and error
Reflecting on your actions
Receiving feedback on your work
Never
Sometimes
Regularly
My work is/involves…
0% 10% 20% 30% 40% 50% 60% 70% 80% 90%
Mostly routine tasks
Highly reliant on formal rules/procedures
Limited/no freedom to decide what should be done
Mostly systematically repeatable
Reliant on formal processes/standards
Dependent on integration across disciplinary boundaries
Improvisational
Highly reliant on my deep expertise/judgment
Dependent on collaborating with others
Highly reliant on my individual expertise/experience
Upwork
CrowdFlower
Conclusions
• Considerable learning and professional
development appears to occur in both
microwork and online freelancing
• Crowdwork is not lonely work - considerable
amount of collaboration appears to take place
• Some quantitative differences in learning
activities within microwork and online
freelancing
• More analysis and data collection needed…
Next steps
• Full study (2016-2018)
– Survey with a larger sample and more comprehensive
analyses
– In-depth interviews with crowdworkers
– Interviews with platform providers and employers
– Study of platform documentation and policies
• Compare results to data from previous survey samples
in traditional occupations
– Financial analysts (WLBK project, 2012-2013)
– Researchers, scientists and consultants (SRL@W
project, 2014-2015)
– Medics and clinicians (Gates Foundation study, 2014-
2015)

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How do crowdworkers learn

  • 1. Understanding crowdworkers’ learning practices Anoush Margaryan Caledonian Academy Glasgow Caledonian University, UK @anoush
  • 2. Vakharia, D. & Lease, M. (2015)Beyond Mechanical Turk: An analysis of paid crowdwork platforms.
  • 3. Types of crowdwork • Microwork (AMT, CrowdFlower): – microtasks (automated and routine) – short timeframe (seconds or minutes) – algorithm-governed – anonymous – small pay – lower barriers to entry • Online freelancing (Upwork – formerly oDesk, Freelancer): – simple or complex projects – longer timeframe (hours, days or months) – worker and employer identities more transparent – professional skills often required Kuek, S. C., et al. (2015). The global opportunity in online outsourcing. Washington, DC: World Bank.
  • 4. Examples of crowdwork tasks • Data entry • Graphic design (logos, brochures, web products and mobile apps, drawing and illustration) • Video production • Transcription • Writing texts • Rating sentiment about a product • Screening and tagging images • Searching and extracting information from websites • Completing surveys
  • 5. Microwork vs online freelancing TASKS Microwork Online freelancing High complexity Medium complexity Low complexity
  • 6. Economic significance • Estimated gross revenue (in 2013) - $2 billion • Forecast for 2016 - $4.8 billion ($4.4 billion for online freelancing and $0.4 billion for microwork) • Estimated number of crowdworkers worldwide – 48 million Kuek, S. C., et al. (2015). The global opportunity in online outsourcing. Washington, DC: World Bank.
  • 7. Demographics • 2/3 of crowdworkers come from: – USA – India – Philippines • Predominately male, below 35 y.o. • Education - university degree: – 75% of online freelancers – 33% of microworkers • Hours worked: majority work for fewer than 20 hrs/w • Motivation -income generation – For microworkers – supplementary income – For online freelancers – the only means of income Kuek, S. C., et al. (2015). The global opportunity in online outsourcing. Washington, DC: World Bank.
  • 8. Why study crowdworker learning? • Worker self-organisation to learn when there is no access to traditional workplace learning support (eg training, access to experienced colleagues) • Social dimension of workplace learning in crowdwork • Learning-intensity of crowdwork • Enhancing the learning potential of crowdwork
  • 9. Research design 1. Self-regulated Learning at Work Questionnaire, SRLWQ (Fontana et al, 2015): – Personal details (education, profession, employment status, country, experience level, etc) – SRL strategies: planning, performance and reflection – Workplace Learning Activities – Nature of work tasks (routinisation, decision-making, expertise & collaboration required, etc) 2. Interviews with crowdworkers (learning pathways, learning and work goals, motives, aspirations) 3. Interviews with platform providers and employers (to contextualise crowdworkers’ perspective) 4. Document analysis (training provisions, policies)
  • 10. Hypotheses • There are qualitative and quantitative differences in learning practices within microwork and online freelancing • Learning-intensity of microwork is lower than that of online freelancing
  • 11. SRLW Questionnaire Fontana, P., Milligan, C., Littlejohn, A., & Margaryan, A. (2015). Measuring self-regulated learning in the workplace. International Journal of Training and Development, 19(1), 32-52 Margaryan, A., Milligan, C., & Littlejohn, A. (2011). Validation of Davenport’s classification structure of knowledge-intensive processes. Journal of Knowledge Management, 15(4), 568-581. 1. Demographic questions – 10 items 2. Workplace learning activity – 14 items 3. Self-regulated learning – 33 items 4. Typology of work tasks – 10 items
  • 12. Pilot survey response Microwork (CrowdFlower) –Total n=127 –Incomplete n=30 –Suspicious n=4 –Usable n=93 Online freelancing (Upwork): –Total n=30 –Incomplete n=8 –Suspicious n=2 –Usable n=20
  • 13. Demographics Upwork (n=20) • Age range: 1949-1997 – 75% Millennials (1980+) – 20% Generation X (1965-79) – 5% Baby Boomers (1946-64) • Gender: – Male 40% – Female 60% • Countries: – 25% USA – 20% Philippines – 10% each India, Romania, Serbia – 5% each Bosnia, Canada, Pakistan, Thailand, UK CrowdFlower (n=93) • Age range: 1950-1996 – 61% Millennials (1980+) – 32% Generation X (1965-79) – 7% Baby Boomers (1946-64) • Gender: – Male 74% – Female 26% • Countries: – 10% each India, Serbia, Bosnia – Bulgaria, Venezuela, Greece, Indonesia, Macedonia, Russia, Turkey, Bangladesh, Canada, Italy, Romania, Ukraine, Croatia, Spain, Vietnam, Algeria, Brazil, Czech Republic, Estonia, Mexico, Portugal, Slovakia, Sri Lanka, Uruguay, USA
  • 14. Education 0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50% Secondary School Undergrad Masters Professional Qualifications Doctorate Upwork CrowdFlower
  • 15. Employment status 0% 10% 20% 30% 40% 50% 60% 70% 80% Freelancer FT Employee PT Employee Retired Diasbled Student Homemaker Upwork CrowdFlower
  • 18. Experience on platform 0% 10% 20% 30% 40% 50% 60% 70% 1 yr or less 2-3 yrs 4-10 yrs 11+ yrs Upwork ClowdFlower
  • 19. WLA: Online freelancers 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Acquiring new information Working alone Working with others Following new developments in your field Performing new tasks Asking others for advice Attending a F2F training course Attending free online courses/tutorials Using paid online tutorials Self-studying professional literature Replicating others’ strategies Trial and error Reflecting on your actions Receiving feedback on your work Never Sometimes Regularly
  • 20. WLA: microworkers 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Acquiring new information Working alone Working with others Following new developments in your field Performing new tasks Asking others for advice Attending a F2F training course Attending free online courses/tutorials Using paid online tutorials Self-studying professional literature Replicating others’ strategies Trial and error Reflecting on your actions Receiving feedback on your work Never Sometimes Regularly
  • 21. My work is/involves… 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% Mostly routine tasks Highly reliant on formal rules/procedures Limited/no freedom to decide what should be done Mostly systematically repeatable Reliant on formal processes/standards Dependent on integration across disciplinary boundaries Improvisational Highly reliant on my deep expertise/judgment Dependent on collaborating with others Highly reliant on my individual expertise/experience Upwork CrowdFlower
  • 22. Conclusions • Considerable learning and professional development appears to occur in both microwork and online freelancing • Crowdwork is not lonely work - considerable amount of collaboration appears to take place • Some quantitative differences in learning activities within microwork and online freelancing • More analysis and data collection needed…
  • 23. Next steps • Full study (2016-2018) – Survey with a larger sample and more comprehensive analyses – In-depth interviews with crowdworkers – Interviews with platform providers and employers – Study of platform documentation and policies • Compare results to data from previous survey samples in traditional occupations – Financial analysts (WLBK project, 2012-2013) – Researchers, scientists and consultants (SRL@W project, 2014-2015) – Medics and clinicians (Gates Foundation study, 2014- 2015)

Notas del editor

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