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Open AccessArticle

Extraction, Processing and Visualization of Peer Assessment Data in Moodle

1
Departamento de Ingeniería de Organización, Administración de Empresas y Estadística, ETSI de Telecomunicación, Universidad Politécnica de Madrid, 28040 Madrid, Spain
2
Departamento Ingeniería Eléctrica y de Sistemas y Automática, Universidad de León, 24071 León, Spain
*
Author to whom correspondence should be addressed.
This work is based on an earlier work: MWDEX: A Moodle Workshop Data EXtractor, in Proceedings of the Seventh International Conference on Technological Ecosystems for Enhancing Multiculturality, 297–303, October 16–18, 2019 © ACM, 2019.
Appl. Sci. 2020, 10(1), 163; https://doi.org/10.3390/app10010163
Received: 27 November 2019 / Revised: 17 December 2019 / Accepted: 20 December 2019 / Published: 24 December 2019
(This article belongs to the Special Issue Smart Learning)
Situated in the intersection of two emerging trends, online self- and peer assessment modes and learning analytics, this study explores the current landscape of software applications to support peer assessment activities and their necessary requirements to complete the learning analytics cycle upon the information collected from those applications. More particularly, the study focuses on the specific case of Moodle Workshops, and proposes the design and implementation of an application, the Moodle Workshop Data EXtractor (MWDEX) to overcome the data analysis and visualization shortcomings of the Moodle Workshop module. This research paper details the architecture design, configuration, and use of the application, and proposes an initial validation of the tool based on the current peer assessment practices of a group of learning analytics experts. The results of the small-scale survey suggest that the use of software tools to support peer assessment is not so extended as it would initially seem, but also highlight the potential of MWDEX to take full advantage of Moodle Workshops. View Full-Text
Keywords: Moodle; workshop; peer assessment; data extraction; data processing; data preparation; data visualization; learning analytics Moodle; workshop; peer assessment; data extraction; data processing; data preparation; data visualization; learning analytics
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MDPI and ACS Style

Chaparro-Peláez, J.; Iglesias-Pradas, S.; Rodríguez-Sedano, F.J.; Acquila-Natale, E. Extraction, Processing and Visualization of Peer Assessment Data in Moodle. Appl. Sci. 2020, 10, 163. https://doi.org/10.3390/app10010163

AMA Style

Chaparro-Peláez J, Iglesias-Pradas S, Rodríguez-Sedano FJ, Acquila-Natale E. Extraction, Processing and Visualization of Peer Assessment Data in Moodle. Applied Sciences. 2020; 10(1):163. https://doi.org/10.3390/app10010163

Chicago/Turabian Style

Chaparro-Peláez, Julián; Iglesias-Pradas, Santiago; Rodríguez-Sedano, Francisco J.; Acquila-Natale, Emiliano. 2020. "Extraction, Processing and Visualization of Peer Assessment Data in Moodle" Appl. Sci. 10, no. 1: 163. https://doi.org/10.3390/app10010163

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