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

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.