A Hybrid Recommendation Model for Learning Object Repositories

Gordillo, Aldo; Barra, Enrique; Quemada, Juan

doi:10.1109/tla.2017.7867596

Cited by 17 publications

(14 citation statements)

References 32 publications

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“…Los Objetos de Aprendizaje (LO, por su sigla en inglés) han surgido como un enfoque fundamental para el desarrollo y la distribución de contenido educativo. Estos recursos se almacenan en repositorios de objetos de aprendizaje (LOR), que pueden facilitar a los usuarios la búsqueda de LO mediante el uso de sistemas de recomendación (RS) (Gordillo y Quemada, 2017). Las posibilidades de usar LO en Matemáticas se dan porque la enseñanza de esto implica el reconocimiento de diversos objetos por parte de la resolución de problemas.…”

Section: Martínez-palmeraunclassified

Mediación de los Objetos Virtuales de Aprendizaje en el Desarrollo de Competencias Matemáticas en Estudiantes de Ingeniería

2018

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ResumenEl presente artículo analiza la contribución de los Objetos Virtuales de Aprendizaje (OVA) al desarrollo de competencias matemáticas en estudiantes de ingeniería de dos universidades de Barranquilla-Colombia. Se aplicó una prueba diagnóstica a 120 estudiantes representados en dos grupos (control y experimental). Durante un semestre académico se incorporó OVA en el área de cálculo diferencial. Al final del periodo fue aplicada una evaluación que permitió comparar el grado de apropiación de conocimientos matemáticos. Los estudiantes del grupo experimental desarrollaron habilidades matemáticas un 25.9% por encima del grupo control y el 55%, consideran que son herramientas eficaces para reforzar conocimientos de cálculo diferencial. Se concluyó que la incorporación de OVA al proceso de enseñanza-aprendizaje con la orientación del docente, motiva a los estudiantes por aprender, potencia las habilidades matemáticas de interpretación, modelación de situaciones matemáticas y ejecución de procedimientos para dar solución a distintos problemas de cálculo diferencial.Palabras clave: objeto virtual de aprendizaje; competencias matemáticas; cálculo diferencial; mediación didáctica; ingeniería. AbstractIn the present article the contribution of Virtual Learning Objects (VLO) to the development of mathematical competences in engineering students from two universities in Barranquilla-Colombia is analyzed. A diagnostic test was applied to 120 students represented in two groups (control and experimental). During the academic semester, VLO were incorporated in the differential-calculus subject. At the end of the period a test that allowed to compare the mathematical knowledge was applied. The students of the experimental group developed mathematical skills 25.9% above the control group, and 55% consider that Virtual Learning Objects are effective tools to improve differential-calculus knowledge. It was concluded that the incorporation of OVA to teaching-learning process with the teacher's guidance, motivates the students to learn, enhances the mathematical skills of interpretation, mathematical situations modeling and execution of procedures to solve different differential calculus problems.

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Section: Martínez-palmeraunclassified

Mediación de los Objetos Virtuales de Aprendizaje en el Desarrollo de Competencias Matemáticas en Estudiantes de Ingeniería

2018

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“…Another study [52], also related to Europeana, described and evaluated a hybrid recommender system capable of generating recommendations of digital learning resources retrieved from Europeana. Gordillo, Barra, and Quemada [53] implemented two different recommender systems for two OER repositories based on the same hybrid recommendation model, which combined three recommendation techniques (content-based, demographic, and context-aware) and the use of quality and popularity scores. The authors of [54] introduced a recommender system for suggesting learning objects to teachers by exploiting their ICT competence profiles elicited from their relevance feedback data and evaluated this system using datasets retrieved from three OER repositories.…”

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confidence: 99%

Examining the Usefulness of Quality Scores for Generating Learning Object Recommendations in Repositories of Open Educational Resources

2020

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Open educational resources (OER) can contribute to democratize education by providing effective learning experiences with lower costs. Nevertheless, the massive amount of resources currently available in OER repositories makes it difficult for teachers and learners to find relevant and high-quality content, which is hindering OER use and adoption. Recommender systems that use data related to the pedagogical quality of the OER can help to overcome this problem. However, studies analyzing the usefulness of these data for generating OER recommendations are very limited and inconclusive. This article examines the usefulness of using pedagogical quality scores for generating OER recommendations in OER repositories by means of a user study that compares the following four different recommendation approaches: a traditional content-based recommendation technique, a quality-based non-personalized recommendation technique, a hybrid approach that combines the two previous techniques, and random recommendations. This user study involved 53 participants and 400 OER whose quality was evaluated by reviewers using the Learning Object Review Instrument (LORI). The main finding of this study is that pedagogical quality scores can enhance traditional content-based OER recommender systems by allowing them to recommend OER with more quality without detriment to relevance.

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“…ViSH e-Learning platform: ViSH [43,44] is a social and collaborative e-Learning platform offered by the UPM that supports the creation, distribution and use of Open Educational Resources (OER). It consists of an OER repository enriched with additional features including authoring tools [45,46], a recommender system [47], a social network, collections, open licensing and integration with Learning Management Systems (LMSs). For logging in to the platform, users had to previously register with an email and password.…”

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Enhancing University Services by Extending the eIDAS European Specification with Academic Attributes

et al. 2020

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The European electronic IDentification, Authentication and trust Services (eIDAS) regulation makes available a solution to ensure the cross-border mutual recognition of electronic IDentification (eID) mechanisms among Member States. However, the basic set of attributes currently provided by each country only contains citizens’ personal and legal attributes, preventing e-services to take full advantage of citizens’ domain-specific information, such as academic or medical data. In this article, we propose an extension of the eIDAS specification to support academic attributes as part of citizens’ profiles. In addition, we present an architecture to enable the connection of eIDAS nodes to national attribute providers to enrich citizens’ profiles with additional academic attributes. We have deployed the eIDAS extension in the specific case of the Spanish eIDAS infrastructure, and we have connected it to an attribute provider of the Technical University of Madrid (UPM). We have also improved a set of institutional services of that university by enabling the connection to eIDAS and enhancing the features offered to students based on their academic profiles retrieved from the eIDAS extended infrastructure. Finally, we have evaluated the resulting services thanks to real students from two different countries, concluding that the widespread adoption of the proposed solution in the academic services of European universities will greatly improve their quality and usability.

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A Hybrid Recommendation Model for Learning Object Repositories

Cited by 17 publications

References 32 publications

Mediación de los Objetos Virtuales de Aprendizaje en el Desarrollo de Competencias Matemáticas en Estudiantes de Ingeniería

Mediación de los Objetos Virtuales de Aprendizaje en el Desarrollo de Competencias Matemáticas en Estudiantes de Ingeniería

Examining the Usefulness of Quality Scores for Generating Learning Object Recommendations in Repositories of Open Educational Resources

Enhancing University Services by Extending the eIDAS European Specification with Academic Attributes

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