Analítica Del Aprendizaje Y Big Data: Heurísticas Y Marcos Interpretativos (Big Data and Learning Analytics: Heuristics and Interpretive Frameworks)

DILEMATA, International Journal of Applied Ethics, Vol. 22, p. 87-103, 2016

14 Pages Posted: 2 Oct 2016

See all articles by Daniel Domínguez Figaredo

Daniel Domínguez Figaredo

National Distance Education University (UNED)

José Francisco Alvarez

Universidad Nacional de Educación a Distancia Department of Logic and Philosophy of Science

Inés Gil-Jaurena

Universidad Nacional de Educacion a Distancia (UNED)

Date Written: July 22, 2016

Abstract

Spanish Abstract: La capacidad de acceder directamente a informaciones referidas a todo tipo de prácticas sociales mediadas digitalmente y la correspondiente acumulación masiva de los datos, ha situado a la evaluación de los fenómenos sociales en un nuevo terreno que pone en cuestión los modelos analíticos convencionales. La educación es un campo propicio para preguntarse sobre esos movimientos, evaluar su relevancia epistémica y precisar en qué consiste la radicalidad del cambio producido por una nueva capacidad tecnológica. Este artículo contribuye a explicar el impacto de ese nuevo escenario en el terreno de la evaluación del aprendizaje a partir de big data, dando cuenta del cambio en la estructura de las categorías empleadas y desarrollando una nueva aproximación a la analítica del aprendizaje basada en heurísticas.

English Abstract: As a result of the capability to directly access information on all types of digitally mediated social practices and the corresponding massive accumulation of data, evaluation of social phenomena has taken a new direction that challenges conventional analytical models. Education is a suitable field for reflecting about these approaches, for analyzing the epistemic relevance of the new methods of data-driven assessment and for exploring the changes that arise from the new technological capabilities. This paper studies the impact of the new scenario in the field of learning analytics from big data, reflecting upon the change in the structure of the categories used in the evaluation of learning, as well as developing a detailed explanation of a new approach to learning analytics based on heuristics.

Note: Downloadable document is in Spanish.

Keywords: Big Data, Learning, Heuristic, Frameworks, Bounded Rationality, Distributed Cognition, Behavioral Economics

Suggested Citation

Domínguez Figaredo, Daniel and Álvarez, José Francisco and Gil-Jaurena, Inés, Analítica Del Aprendizaje Y Big Data: Heurísticas Y Marcos Interpretativos (Big Data and Learning Analytics: Heuristics and Interpretive Frameworks) (July 22, 2016). DILEMATA, International Journal of Applied Ethics, Vol. 22, p. 87-103, 2016, Available at SSRN: https://ssrn.com/abstract=2846376

Daniel Domínguez Figaredo (Contact Author)

National Distance Education University (UNED) ( email )

Calle Bravo Murillo, 38
Madrid 28006, Madrid 28040
Spain

José Francisco Álvarez

Universidad Nacional de Educación a Distancia Department of Logic and Philosophy of Science ( email )

Calle Senda del Rey 7
Madrid, Madrid 28040
Spain

Inés Gil-Jaurena

Universidad Nacional de Educacion a Distancia (UNED) ( email )

Juan del Rosal, 14
Madrid, Madrid 28040
Spain

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