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This article shows the use of NEON (Ontological Methodology), Scrum (Agile Methodology), and web scraping to develop an application of an ontological Knowledge Representation Model for Bodies of Knowledge as a supplementary tool to improve a curriculum in Software Engineering context. The contributions of this article are the following: First, it is carried out the combination, and application of ontological methodologies, and agile development; second, an application was developed in Java, using the Jsoup library, for the extraction and visualization of the information of BOK of Software Engineering degree.
Pablo Alejandro Quezada-Sarmiento; Jon A. Elorriaga; Ana Arruarte; Luis Alberto Jumbo-Flores. Used of Web Scraping on Knowledge Representation Model for Bodies of Knowledge as a Tool to Development Curriculum. Advances in Intelligent Systems and Computing 2021, 611 -620.
AMA StylePablo Alejandro Quezada-Sarmiento, Jon A. Elorriaga, Ana Arruarte, Luis Alberto Jumbo-Flores. Used of Web Scraping on Knowledge Representation Model for Bodies of Knowledge as a Tool to Development Curriculum. Advances in Intelligent Systems and Computing. 2021; ():611-620.
Chicago/Turabian StylePablo Alejandro Quezada-Sarmiento; Jon A. Elorriaga; Ana Arruarte; Luis Alberto Jumbo-Flores. 2021. "Used of Web Scraping on Knowledge Representation Model for Bodies of Knowledge as a Tool to Development Curriculum." Advances in Intelligent Systems and Computing , no. : 611-620.
Josu Arruarte; Mikel Larrañaga; Ana Arruarte; Jon A. Elorriaga. Correction to: Measuring the Quality of Test-Based Exercises Based on the Performance of Students. International Journal of Artificial Intelligence in Education 2021, 1 -2.
AMA StyleJosu Arruarte, Mikel Larrañaga, Ana Arruarte, Jon A. Elorriaga. Correction to: Measuring the Quality of Test-Based Exercises Based on the Performance of Students. International Journal of Artificial Intelligence in Education. 2021; ():1-2.
Chicago/Turabian StyleJosu Arruarte; Mikel Larrañaga; Ana Arruarte; Jon A. Elorriaga. 2021. "Correction to: Measuring the Quality of Test-Based Exercises Based on the Performance of Students." International Journal of Artificial Intelligence in Education , no. : 1-2.
In order to be effective, a learning process requires the use of valid and suitable educational resources. However, measuring the quality of an educational resource is not an easy task for a teacher. The data of the performance of the students can be used to measure how appropriate the didactic resources are. Besides this data, adequate metrics and statistics are also needed. In this paper, TEA, a Visual Learning Analytics tool for measuring the quality of a particular type of educational resources, in particular test-based exercises, is presented. TEA is a teacher-oriented tool aimed at helping them to improve the quality of the learning material they have created by analyzing and visualizing the performance of the students. TEA evaluates not only the adequacy of individual items but also the appropriateness of a whole test. TEA provides the results of the evaluation so that they are easily interpretable by teachers and developers of educational material. The development of TEA required a thorough analysis and classification of metrics and statistics to identify those which are useful to measure the quality of test-based exercises using the data about the performance of the students. The tool provides visual representations of the performance of the students to allow teachers to evaluate the appropriateness of the test-based exercises they have created. The experimentation carried out with TEA at higher education level is also presented.
Josu Arruarte; Mikel Larrañaga; Ana Arruarte; Jon A. Elorriaga. Measuring the Quality of Test-based Exercises Based on the Performance of Students. International Journal of Artificial Intelligence in Education 2020, 1 -18.
AMA StyleJosu Arruarte, Mikel Larrañaga, Ana Arruarte, Jon A. Elorriaga. Measuring the Quality of Test-based Exercises Based on the Performance of Students. International Journal of Artificial Intelligence in Education. 2020; ():1-18.
Chicago/Turabian StyleJosu Arruarte; Mikel Larrañaga; Ana Arruarte; Jon A. Elorriaga. 2020. "Measuring the Quality of Test-based Exercises Based on the Performance of Students." International Journal of Artificial Intelligence in Education , no. : 1-18.
In this review, a Systematic Literature Review (SLR) on Open Body of Knowledge (BOK) is presented. Moreover, the theoretical base to build a model for knowledge description was created, and it was found that there is a lack of guidelines to describe knowledge description because of the dramatically increasing number of requirements to produce an Open BOK, the difficulty of comparing related BOK contents, and the fact that reusing knowledge description is a very laborious task. In this sense, this review can be considered as a first step in building a model that can be used for describing knowledge description in Open BOK. Finally, in order to improve the educational context, a comparison among BOK, structure, and evolution is conducted.
Pablo Alejandro Quezada-Sarmiento; Jon A. Elorriaga; Ana Arruarte; Hironori Washizaki. Open BOK on Software Engineering Educational Context: A Systematic Literature Review. Sustainability 2020, 12, 6858 .
AMA StylePablo Alejandro Quezada-Sarmiento, Jon A. Elorriaga, Ana Arruarte, Hironori Washizaki. Open BOK on Software Engineering Educational Context: A Systematic Literature Review. Sustainability. 2020; 12 (17):6858.
Chicago/Turabian StylePablo Alejandro Quezada-Sarmiento; Jon A. Elorriaga; Ana Arruarte; Hironori Washizaki. 2020. "Open BOK on Software Engineering Educational Context: A Systematic Literature Review." Sustainability 12, no. 17: 6858.
The goal of the research here presented is to identify which aspects of Wikipedia can be exploited to support the process of automatically building Multilingual Domain Modules from textbooks. First, we have defined a representation formalism for Multilingual Domain Modules that is essential for Technology Supported Learning Systems which aim to serve a globalized society. To our knowledge, no attempt has been made at achieving domain models that consider multiple languages. Our approach combines Multilingual Educational Ontologies with Learning Objects in different languages. Wikipedia is a valuable resource to accomplish this purpose. In this scenario, we have developed LiDom Builder, a framework that uses Wikipedia as an additional knowledge base for the automatic generation of Multilingual Domain Modules from textbooks. The framework includes domain-independent term extraction methods to identify which topics of Wikipedia are related to the domain to be learnt and, also, extracts their equivalents in other languages. In order to complete the Educational Ontology, we have defined a method to extract pedagogical relationships from Wikipedia and other general-purpose knowledge bases. From this task, we highlight the extraction of relationship that will allow the sequencing of the topics in Technology Supported Learning Systems. In addition, LiDom Builder takes advantage of the structured contents of Wikipedia to identify text fragments that can be used for educational purposes, classifies them and generates their corresponding Learning Objects. The interlanguage links between topics of Wikipedia are used to create Learning Objects in other languages.
Angel Conde; Ana Arruarte; Mikel Larrañaga; Jon A. Elorriaga. How can wikipedia be used to support the process of automatically building multilingual domain modules? a case study. Information Processing & Management 2020, 57, 102232 .
AMA StyleAngel Conde, Ana Arruarte, Mikel Larrañaga, Jon A. Elorriaga. How can wikipedia be used to support the process of automatically building multilingual domain modules? a case study. Information Processing & Management. 2020; 57 (4):102232.
Chicago/Turabian StyleAngel Conde; Ana Arruarte; Mikel Larrañaga; Jon A. Elorriaga. 2020. "How can wikipedia be used to support the process of automatically building multilingual domain modules? a case study." Information Processing & Management 57, no. 4: 102232.
Contribution: A learning-by-teaching methodology through games can be used to promote informatics (computer science) in primary and secondary education. Applying the proposed activities can change students' perception of informatics from seeing it as merely using computers to seeing its relationship with mathematics. The experience can also help students acquire competences in teaching.
Edurne Larraza-Mendiluze; Olatz Arbelaitz; Ana Arruarte; Jose F. Lukas; Nestor Garay-Vitoria. JolasMATIKA: An Experience for Teaching and Learning Computing Topics From University to Primary Education. IEEE Transactions on Education 2019, 63, 136 -143.
AMA StyleEdurne Larraza-Mendiluze, Olatz Arbelaitz, Ana Arruarte, Jose F. Lukas, Nestor Garay-Vitoria. JolasMATIKA: An Experience for Teaching and Learning Computing Topics From University to Primary Education. IEEE Transactions on Education. 2019; 63 (3):136-143.
Chicago/Turabian StyleEdurne Larraza-Mendiluze; Olatz Arbelaitz; Ana Arruarte; Jose F. Lukas; Nestor Garay-Vitoria. 2019. "JolasMATIKA: An Experience for Teaching and Learning Computing Topics From University to Primary Education." IEEE Transactions on Education 63, no. 3: 136-143.
Educational Ontologies describe learning domains by specifying the topics to be learned together with the relationships among the topics. Any technology supported learning system could take advantage of an educational ontology in the process of guiding students during their learning processes. This paper presents LiReWi, a system for the elicitation of relationships for educational ontologies from electronic textbooks. LiReWi combines grammar-based, co-occurrence-based and taxonomy-based methods together with several knowledge bases, such as Wikipedia, WordNet, WikiTaxonomy, WibiTaxonomy, and WikiRelations to elicit isA, partOf, prerequisite and pedagogicallyClose relationships between learning domain topics. LiReWi performs a three-step procedure to fulfill its task: first, all the topics are mapped to the diverse knowledge bases that will be used to identify the relationships; then, several relationship extractors, each using a different approach, are concurrently run to elicit candidate relationships; and, finally, the results are combined and filtered to obtain the final set of pedagogical relationships. LiReWi is designed following a modular approach that enables the inclusion of new relationship extractors. The evaluation conducted to validate the proposal is also reported in this paper.
Angel Conde; Mikel Larranaga; Ana Arruarte; Jon A. Elorriaga. A Combined Approach for Eliciting Relationships for Educational Ontologies Using General-Purpose Knowledge Bases. IEEE Access 2019, 7, 48339 -48355.
AMA StyleAngel Conde, Mikel Larranaga, Ana Arruarte, Jon A. Elorriaga. A Combined Approach for Eliciting Relationships for Educational Ontologies Using General-Purpose Knowledge Bases. IEEE Access. 2019; 7 ():48339-48355.
Chicago/Turabian StyleAngel Conde; Mikel Larranaga; Ana Arruarte; Jon A. Elorriaga. 2019. "A Combined Approach for Eliciting Relationships for Educational Ontologies Using General-Purpose Knowledge Bases." IEEE Access 7, no. : 48339-48355.
DOM-Sortze is a framework for the semiautomatic generation of Domain Modules from textbooks. It identifies not only topics and relationships between topics but also Learning Objects (e.g., definitions, examples, problem-statements) included in an electronic document. ArikIturri is a NLP-based system designed to automatically generate test-based exercises from corpora. To enrich the Learning Object Repository of DOM-Sortze with new test-based exercises, both systems have been integrated. The experiment conducted to verify the validity of the proposal is described throughout the paper.
Itziar Aldabe; Mikel Larrañaga; Montse Maritxalar; Ana Arruarte; Jon A. Elorriaga. Domain Module Building From Textbooks: Integrating Automatic Exercise Generation. Transactions on Petri Nets and Other Models of Concurrency XV 2015, 521 -524.
AMA StyleItziar Aldabe, Mikel Larrañaga, Montse Maritxalar, Ana Arruarte, Jon A. Elorriaga. Domain Module Building From Textbooks: Integrating Automatic Exercise Generation. Transactions on Petri Nets and Other Models of Concurrency XV. 2015; ():521-524.
Chicago/Turabian StyleItziar Aldabe; Mikel Larrañaga; Montse Maritxalar; Ana Arruarte; Jon A. Elorriaga. 2015. "Domain Module Building From Textbooks: Integrating Automatic Exercise Generation." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 521-524.