Print Email Facebook Twitter From Learners to Earners Title From Learners to Earners: Enabling MOOC Learners to Apply Their Skills and Earn Money in an Online Market Place Author Chen, G. (TU Delft Web Information Systems) Davis, D.J. (TU Delft Web Information Systems) Krause, Markus (University of California) Aivaloglou, E.A. (TU Delft Software Engineering) Hauff, C. (TU Delft Web Information Systems) Houben, G.J.P.M. (TU Delft Web Information Systems) Date 2018 Abstract Massive Open Online Courses (MOOCs) aim to educate the world. More often than not, however, MOOCs fall short of this goal — a majority of learners are already highly educated (with a Bachelor degree or more) and come from specific parts of the (developed) world. Learners from developing countries without a higher degree are underrepresented, though desired, in MOOCs. One reason for those learners to drop out of a course can be found in their financial realities and the subsequent limited amount of time they can dedicate to a course besides earning a living. If we could pay learners to take a MOOC, this hurdle would largely disappear. With MOOCS, this leads to the following fundamental challenge: How can learners be paid at scale? Ultimately, we envision a recommendation engine that recommends tasks from online market places such as Upwork or witmart to learners, that are relevant to the course content of the MOOC. In this manner, the learners learn and earn money. To investigate the feasibility of this vision, in this paper we explored to what extent (1) online market places contain tasks relevant to a specific MOOC, and (2) learners are able to solve real-world tasks correctly and with sufficient quality. Finally, based on our experimental design, we were also able to investigate the impact of real-world bonus tasks in a MOOC on the general learner population. Subject Data analysisUncertaintyMonitoringProcess controlEducationEnginesSociology To reference this document use: http://resolver.tudelft.nl/uuid:c901c0bb-a5ac-426b-af55-6644c731df38 DOI https://doi.org/10.1109/TLT.2016.2614302 Embargo date 2021-12-01 Source IEEE Transactions on Learning Technologies, 11 (2), 264-274 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2018 G. Chen, D.J. Davis, Markus Krause, E.A. Aivaloglou, C. Hauff, G.J.P.M. Houben Files PDF 07579220.pdf 1.34 MB Close viewer /islandora/object/uuid:c901c0bb-a5ac-426b-af55-6644c731df38/datastream/OBJ/view