Diseño de un método de refinamiento de MOOC basado en la Inteligencia Colectiva

The proposal for a MOOC makes use of collective intelligence, strategy of the contest of several individuals knowledgeable and experiences and practices to the management and administration of a curriculum, developed with technology and computer science. The integration of experiences will use web f...

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Autor Principal: Castro Jiménez, Carlos Alberto
Formato: info:eu-repo/semantics/masterThesis
Idioma: spa
Publicado: Universidad de San Buenaventura - Cali 2018
Materias:
Acceso en línea: http://hdl.handle.net/10819/5471
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Sumario: The proposal for a MOOC makes use of collective intelligence, strategy of the contest of several individuals knowledgeable and experiences and practices to the management and administration of a curriculum, developed with technology and computer science. The integration of experiences will use web forms Online, resource for the capture of these thematic proposals of a curriculum of the subject introduction to programming. The capture experiences of external experts familiar with issues in curriculum management, raises question the votes for each of the thematic areas of the online form, in the subjects of a curriculum, hierarchical in scaling of data, from highest to lowest. To interpret the votes obtained viewers expert external indicator of the proposal of collective intelligence, in the introduction to programming matters. The results of collective intelligence, makes use of the tool of Bloom's taxonomy of the digital age, portraying levels of learning programming from the top of the knowledge: create, access, analyze and apply up to the lower of the Intelligence: remember and understand. Collective intelligence ponders and manages with indicators for the most voted, applying rule of Newman law of 70% value of high reliability analysis, parallel between collective intelligence and Bloom taxonomy tool equate to axes theme by his vote and hierarchy are related to intelligence that manages the digital age Bloom's taxonomy. Allowing us to get by hierarchical relationships from the highest intelligence up to the bottom of it.