VUZ: A Crowdsourced Framework for Scalable Interdisciplinary Curriculum Design

Azofeifa, Esteban J.; Novikova, Galina M.

doi:10.1109/inforino.2018.8581804

Cited by 2 publications

(2 citation statements)

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“…As one of the popular topics in today's sharing economy, crowdsourcing [3], [4] has become a feasible tool for people to obtain knowledge at reasonable 6 DCM&ACS. 2020, 28 (1) [5][6][7][8][9][10][11][12][13][14][15][16] costs from a set of experts in a field. Such experts, with varying levels of expertise, can be found in platforms like Amazon's Mechanical Turk [5].…”

Section: Introductionmentioning

confidence: 99%

“…Such experts, with varying levels of expertise, can be found in platforms like Amazon's Mechanical Turk [5]. In an academic environment, the roles of teacher and student (expert and requester) can also be integrated in a crowdsourcing system, and if a single agent is allowed to perform both roles interchangeably, then the agent can be further benefitted by an academic platform such as VUZ [6].…”

Section: Introductionmentioning

confidence: 99%

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Verification of a labor market domain using an academic crowdsourcing system

Azofeifa

Novikova

2020

Discrete and Continuous Models

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Students desiring to become a valuable good in the labor market are willing to pay a considerable monetary cost to obtain knowledge about their prospective job opportunities, nowadays with a diminishing interest in the obtainment of a diploma. Considering the behavior of the labor market as a domain theory under uncertainty, it is straightforward to expect the presence of contradictions, in the form of salaries unable to be classified due to high inconsistency and variation. We provide an algorithm to verify a labor market domain theory based on a crowdsourcing academic system, in which feedback about possible contradictions is generated as a result of consultations with experts inside of the market and clustered into different contexts. We found that the verification process can be repeated iteratively as long as the students’ overall tuition is equal or greater than a quantity partially defined by the number of different profiles of the students.

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