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Título: Large scale analytics of global and regional MOOC providers: differences in learners’ demographics, preferences, and perceptions
Fecha de publicación: abr-2022
Editorial: Elsevier
Cita bibliográfica: Computers & Education, 2022, Vol. 180 : 104426
ISSN: Print: 0360-1315
Electronic: 1873-782X
Palabras clave: Learning analytics
Educational data mining
Massive open online courses
Large scale analysis
Cultural factors
Equity
Distance learning
Resumen: Massive Open Online Courses (MOOCs) remarkably attracted global media attention, but the spotlight has been concentrated on a handful of English-language providers. While Coursera, edX, Udacity, and FutureLearn received most of the attention and scrutiny, an entirely new ecosystem of local MOOC providers was growing in parallel. This ecosystem is harder to study than the major players: they are spread around the world, have less staff devoted to maintaining research data, and operate in multiple languages with university and corporate regional partners. To better understand how online learning opportunities are expanding through this regional MOOC ecosystem, we created a research partnership among 15 different MOOC providers from nine countries. We gathered data from over eight million learners in six thousand MOOCs, and we conducted a large-scale survey with more than 10 thousand participants. From our analysis, we argue that these regional providers may be better positioned to meet the goals of expanding access to higher education in their regions than the better-known global providers. To make this claim we highlight three trends: first, regional providers attract a larger local population with more inclusive demographic profiles; second, students predominantly choose their courses based on topical interest, and regional providers do a better job at catering to those needs; and third, many students feel more at ease learning from institutions they already know and have references from. Our work raises the importance of local education in the global MOOC ecosystem, while calling for additional research and conversations across the diversity of MOOC providers.
Autor/es principal/es: Ruipérez Valiente, José A.
Staubitz, Thomas
Jenner, Matt
Halawa, Sherif
Zhang, Jiayin
Despujol, Ignacio
Maldonado-Mahauad, Jorge
Montoro, German
Peffer, Melanie
Rohloff, Tobias
Lane, Jenny
Turro, Carlos
Li, Xitong
Pérez-Sanagustín, Mar
Reich, Justin
Facultad/Departamentos/Servicios: Facultades, Departamentos, Servicios y Escuelas::Departamentos de la UMU::Ingeniería de la Información y las Comunicaciones
Versión del editor: https://www.sciencedirect.com/science/article/pii/S0360131521003031?via%3Dihub
URI: http://hdl.handle.net/10201/148781
DOI: https://doi.org/10.1016/j.compedu.2021.104426
Tipo de documento: info:eu-repo/semantics/article
Número páginas / Extensión: 17
Derechos: info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Descripción: © 2022 The Authors. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ This document is the Published Manuscript version of a Published Work that appeared in final form in Computers & Education. To access the final edited and published work see https://doi.org/10.1016/j.compedu.2021.104426
Aparece en las colecciones:Artículos: Ingeniería de la Información y las Comunicaciones

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