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Statistical analysis big academic open course.
dc.contributor.author | Pablo Leyva, Hugo | |
dc.date.accessioned | 2020-01-08T18:56:59Z | |
dc.date.available | 2020-01-08T18:56:59Z | |
dc.date.issued | 2019-03-11 | |
dc.identifier.isbn | 978-84-09-08619-1 | |
dc.identifier.issn | 2340-1079 | |
dc.identifier.other | doi: 10.21125/inted.2019.2436 | |
dc.identifier.uri | http://cathi.uacj.mx/20.500.11961/9894 | |
dc.description.abstract | The growing demand for enrollment of undergraduate students in Public Education Institutions generates the need for new ways of conducting the teaching and learning process. In this paper we analyze the BAOC (Big Academic Open Course), school courses for large groups, this is an alternative modality to cover the growing demand of students enrolled in Engineering curses at the Autonomous Metropolitan University with large groups. Big Academic Open Course is characterized by attending groups of 70 to 250 students during a school term. Unlike a MOOC course, learning activities and assessments have set dates. Its characteristics are based on b-learning and MOOCs applied to school courses. The main advantage is that it optimizes the physical and human resources to attend a larger number of students, breaking the time-space paradigm. Dropout levels are similar to courses offered in face-to-face mode. The objective of this work is to analyze the data of the field study, of this modality to compare it with the traditional modality. The results obtained show an average approval rate of 68%, while the average retention rate is 61%. 88% of students consider the modality useful and 76% would like to take other courses in this modality. | es_MX |
dc.description.uri | https://library.iated.org/view/PABLOLEYVA2019STA | es_MX |
dc.language.iso | en_US | es_MX |
dc.publisher | International Association of Technology, Education and Development. | es_MX |
dc.relation.ispartof | Producto de investigación IADA | es_MX |
dc.relation.ispartof | Instituto de Arquitectura Diseño y Arte | es_MX |
dc.subject | b-learning | es_MX |
dc.subject | mooc | es_MX |
dc.subject.other | info:eu-repo/classification/cti/4 | es_MX |
dc.subject.other | info:eu-repo/classification/cti/7 | es_MX |
dc.title | Statistical analysis big academic open course. | es_MX |
dc.type | Memoria in extenso | es_MX |
dcterms.thumbnail | http://ri.uacj.mx/vufind/thumbnails/rupiiada.png | |
dcrupi.instituto | Instituto de Arquitectura Diseño y Arte | es_MX |
dcrupi.cosechable | Si | es_MX |
dcrupi.subtipo | Investigación | es_MX |
dcrupi.alcance | Internacional | es_MX |
dcrupi.pais | España | es_MX |
dc.contributor.coauthor | Silva-López, Rafaela Blanca | |
dc.contributor.coauthor | Méndez-Gurrola, Iris Iddaly | |
dcrupi.tipoevento | Congreso | es_MX |
dcrupi.evento | 13th International Technology, Education and Development Conference | es_MX |
dcrupi.estado | Valencia | es_MX |
dc.lgac | Sin línea de generación | es_MX |
dc.cuerpoacademico | Sin cuerpo académico | es_MX |
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