Ontology for modelling and understanding educational data and concepts � An application to Learning Analytics for Secondary project

Casanovas Muñoz, Jordi (2016) Ontology for modelling and understanding educational data and concepts � An application to Learning Analytics for Secondary project. PhD thesis, Unviersidad Politécnica de Cataluña (UPC).

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Abstract

The project Learning Analytics for Secondary (LA4S) of inLab FIB is focused on measuring the motivation that students have for their studies, through digital traces. This digital traces are generated while students use web applications for supporting the learning process like Moodle or Blackboard, also known as Learning Management Systems (LMS). One of the problems that the project LA4S deals with, while developing the indicators of motivation, is the inconsistency of the naming of concepts used in the indicators� definition among the different LMS. The ontology proposed in this Treball Final de Grau (TFG) is an standarization of the concepts within the e-learning domain, and the relationships between them. This ontology is a generic result and suitable to any LMS, so that the Learning Analytics indicators will be developed using the ontology concepts. This means that the data will be extracted from the LMS and then transformed and loaded following the standard naming of the ontology. With the purpose of validating the ontology, a data extraction from a school that uses Agora as LMS (a Moodle version developed by UPCnet, organization which collaborates with inLab) participating in the LA4S pilot test has been performed. Then, the concepts had been mapped between the ontology and the LMS using Apache Hive.

Item Type:	Thesis (PhD)
Depositing User:	Elizabeth Dalton
Date Deposited:	16 Dec 2019 23:40
Last Modified:	16 Dec 2019 23:40
URI:	http://research.moodle.org/id/eprint/176

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