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"Crowdsourcing Higher Education: A Design Proposal for Distributed Learning" icon

Crowdsourcing Higher Education: A Design Proposal for Distributed Learning

Higher education faces dual challenges to reduce expenditures and improve learning outcomes through faster graduation rates. These challenges can be met through a personalized learning system (PLS) that employs techniques from previous successful instructional designs. Based on social learning theory, the PLS combines a dynamic menu that tracks individual topic mastery with a social communication interface that connects knowledge-seekers with knowledge-providers. The crowdsourced generation of content from these connections is stored in a library for availability when live mentors are unavailable. The quality of the generated stored content is vetted against subsequent performance by knowledge-seekers whose performance creates recognition for knowledge-providers in a game-like public rating scheme.


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