A landscape of learning analytics: An exercise to highlight the nature of an emergent field

Alejandro Peña-Ayala, Leonor Adriana Cárdenas-Robledo, Humberto Sossa

Resultado de la investigación: Capítulo del libro/informe/acta de congresoCapítulorevisión exhaustiva

2 Citas (Scopus)

Resumen

Before the increasing efforts for understanding, predicting, and enhancing students’ learning in educational settings, learning analytics (LA) emerges as a candidate research area to tackle such issues. Thus, several work lines have been conducted, as well as diverse conceptual and theoretical perspectives have been arisen. Moreover, quite interesting and useful outcomes have been produced during the LA short lifetime. However, a clear idea of diverse questions is still pending to be given. (e.g., what does learning analytics mean? what are its backgrounds, related domains, and underlying elements? which are the objects of its applications? and what about the trends and challenges to be considered?) This is the reason why the chapter aims at responding those concerns by a sketch of a conceptual scenery that explains the LA background, its underlying domains and nature, including a survey of recent and relevant approaches, and a relation of risks and opportunities.

Idioma originalInglés
Título de la publicación alojadaStudies in Systems, Decision and Control
EditorialSpringer International Publishing AG
Páginas65-112
Número de páginas48
DOI
EstadoPublicada - 1 ene 2017

Serie de la publicación

NombreStudies in Systems, Decision and Control
Volumen94
ISSN (versión impresa)2198-4182
ISSN (versión digital)2198-4190

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