Learning While Earning? A Literature Review and Case Study on Learning Opportunities in Crowdwork

Carolin Stein (), Anna Soßdorf (), Osman Kivanc Kirikci and Jonas Fegert ()
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Carolin Stein: FZI Research Center for Information Technology
Anna Soßdorf: FZI Research Center for Information Technology
Osman Kivanc Kirikci: KIT Karlsruhe Institute of Technology
Jonas Fegert: FZI Research Center for Information Technology

A chapter in People, Society, and Ethical Challenges of Information Systems, 2026, pp 333-348 from Springer

Abstract: Abstract Crowdsourcing has emerged as a pivotal force driving innovation and problem-solving in today’s digital landscape. Yet, to sustain this momentum and meet the dynamic demands of the labor market, prioritizing learning opportunities within crowdsourcing is imperative. Current platforms face criticism for neglecting skill development, leaving it primarily the workers’ responsibility. This article delves into how crowdsourcing platforms can enhance support for workers’ learning. Through a structured literature review, we synthesize learning approaches within crowdwork literature in a conceptual mapping. We then practically apply theoretical findings to the successful platform “Kaggle”, examining how the platform supports data literacy learning. Through our investigations, we offer both theoretical insights and practical observations, aiming to catalyze further exploration and enhancement of learning opportunities within crowdwork.

Keywords: Crowdwork; Learning; Platforms; Data literacy (search for similar items in EconPapers)
Date: 2026
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DOI: 10.1007/978-3-032-08486-6_23

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