Tap into visual analysis of customization of grouping of activities in eLearning

Aguilar, Diego Alonso Gómez; Hernández-García, Ángel; García-Peñalvo, Francisco José; Therón, Roberto

doi:10.1016/j.chb.2014.11.001

Cited by 87 publications

(38 citation statements)

References 21 publications

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“…For instance it would be possible to use in the system additional LA techniques, such as the inclusion of categories of interaction as those defined by Agudo-Peregrina et al [21]. By using these categories it is possible to detect what types of interaction are more frequent and promote those that can improve learning [64][65].…”

Section: Discussionmentioning

confidence: 99%

Exploring Software Engineering Subjects by Using Visual Learning Analytics Techniques

Conde

García‐Peñalvo

Gómez-Aguilar

et al. 2015

IEEE R. Iberoamericana Tecnologias Aprendizaje

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The application of the Information and Communication Technologies to teaching and learning processes is linked to the development of new tools and services that can help students and teachers. Learning platforms are a clear example of this. They are very popular tools in eLearning contexts and provide different kinds of learning applications and services. In addition, these environments also register most of the interactions between the learning process stakeholders and the system. This information could potentially be used to make decisions but usually it is stored as raw data, which is very difficult to understand. This work presents a system that employs visual learning analytic techniques to facilitate the exploitation of that information. The system presented includes several tools that make possible to explore issues such as: when interaction is carried out, which contents are the most important for users, how they interact with others, etc. The system was tested in the context of a software engineering subject, taking into account the stored logs of five academic years. From this analysis it is possible to see how visual analytics can help decision-making and in this context how it helps to improve educational processes.

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Section: Discussionmentioning

confidence: 99%

Exploring Software Engineering Subjects by Using Visual Learning Analytics Techniques

Conde

García‐Peñalvo

Gómez-Aguilar

et al. 2015

IEEE R. Iberoamericana Tecnologias Aprendizaje

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“…A. Gómez-Aguilar, Conde-González, Theron, & Garcia-Penalvo, 2011; Diego Alonso Gómez-Aguilar, Hernández-García, García-Peñalvo, & Therón, 2015;Tobarra, Ros, et al, 2014) e interpretación para poder sacar conclusiones interesantes sobre el proceso del aprendizaje, apoyar en la toma de decisiones y poder mejorarlo (Miguel Ángel Conde & Hernández-García, 2015;Greller & Drachsler, 2012).…”

Section: Contextounclassified

SNOLA, creando una Red sobre Analíticas de Aprendizaje en España - [SNOLA: creating a network about Learning Analytics in Spain]

Agudo-Peregrina¹,

Conde²,

Menchaca³

et al. 2017

La Innovación Docente Como Misión Del Profesorado : Congreso Internacional Sobre Aprendizaje, Innovación Y Competitividad

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“…[7]-, more recent research on this field has brought novel approaches that try to go beyond statistical analysis and offer other informative and decision-oriented perspectives, such as visualization-e.g., [8]--or social learning analytics-e.g., [9].…”

Section: Introductionmentioning

confidence: 99%

A Web Services-Based Application for LMS Data Extraction and Processing for Social Network Analysis

Chaparro-Peláez

Acquila-Natale

Iglesías-Pradas

et al. 2015

New Information and Communication Technologies for Knowledge Management in Organizations

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Abstract. The emergence of learning analytics as a discipline of its own has given way to a diverse subset of research fields offering very different approximations to the topic. One of the most recent and active approaches is social learning analytics, which focuses primarily on the application of social network analysis (SNA) techniques and visualizations to study and help understanding interactions in online courses as a key pillar of social construction of learning. However, and despite this interest, current tools for analysis and visualization are very limited for advanced social learning analytics, and SNA applications cannot directly process data from learning management systems. This paper presents a technical view of the design and implementation of a web servicesbased application that aims to overcome these limitations by extracting and processing educational data about forum interactions in online courses to generate the corresponding social graphs and enable advanced social network analysis on SNA software.

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Tap into visual analysis of customization of grouping of activities in eLearning

Cited by 87 publications

References 21 publications

Exploring Software Engineering Subjects by Using Visual Learning Analytics Techniques

Exploring Software Engineering Subjects by Using Visual Learning Analytics Techniques

SNOLA, creando una Red sobre Analíticas de Aprendizaje en España - [SNOLA: creating a network about Learning Analytics in Spain]

A Web Services-Based Application for LMS Data Extraction and Processing for Social Network Analysis

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