Crowdsourcing as a knowledge base building model with three primary design issues¶

Design · All designs
Evidence · no claims cited

Description¶

The article organizes crowdsourced content creation using the taxonomy of Saxton et al. (2013), placing ASSISTments' approach in the knowledge base building model, where "information- or knowledge-generation processes are outsourced to community users" with incentives and quality control. It distinguishes crowdsourcing from the 'wisdom of crowds' and separates teachersourcing from learnersourcing. Three issues structure the design space: what is outsourced, crowd collaboration, and managerial control over quality.

Design Implications¶

Context¶

Requirements¶

Incentive measures and quality control mechanisms to elicit quality knowledge from the crowd

Constraints¶

Managerial control over contribution quality is described as one of the greater challenges of crowdsourcing in general

Target Learners¶

K-12 students using online learning platforms

Learning Goals¶

Mathematics problem solving supported by elaborated feedback

Claims¶

Web-based crowdsourced version of the sequential finger tapping task on Amazon Mechanical Turk

Examples¶

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Key Sources¶

Heffernan, N. T., Ostrow, K. S., Kelly, K., Selent, D., Van Inwegen, E. G., Xiong, X., & Williams, J. J. (2016). The Future of Adaptive Learning: Does the Crowd Hold the Key? Int J Artif Intell Educ 26:615–644. https://doi.org/10.1007/s40593-016-0094-z

Page metadata

Field	Value
`type`	`design`
`id`	`crowdsourcing-knowledge-base-building-model`
`title`	`Crowdsourcing as a knowledge base building model with three primary design issues`
`description`	`The article organizes crowdsourced content creation using the taxonomy of Saxton et al.`
`status`	`review`
`generated`	by `process:settle-candidates` on `2026-10-27`
`trust`	unverified — no one has confirmed this page's content
`sources`	1 — `heffernan-2016`

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