Clustering learning objects in the IEEE-LOM standard considering learning styles to support customized recommendation systems in educational environments

Mendes, Miller M.; Carvalho, Vitor; Araújo, Rafael Dias; Dorça, Fabiano; Cattelan, Renan G.

doi:10.1109/laclo.2017.8120898

Cited by 8 publications

(6 citation statements)

References 21 publications

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“…The main advantage of the models of academic disciplines is the ability to expand the boundaries of educational material by providing students with multi-and video information on the subject area being studied. Also, be aware of the links between disciplines through appropriate hyperlinks, as well as systematize the results of their training [17], [18], [19].…”

Section: The Results Of Researchers Of Education Processes Based On Integrated Intelligencementioning

confidence: 99%

Integration of Traditional and Distance Learning Methods in High School

Meteshkin

Pomortseva

Kobzan

2021

ITLT

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In the article the researchers are exploring the integration of traditional and distance learning methods identified as a result of quarantine measures during the coronavirus in high school. The main complex contradictions are revealed. Methods and decisions of a complex problem are developed. The tendencies of the development of distance education are researched. Scientific assumptions about an educology methodology are formed. Main stages of modern educational technologies in universities are defined. The study of integration processes between traditional and distance learning is carried out. The relations between subjects and objects of the university department are learned. It was revealed that the structure of the educational process is complicated due to the use of mobile means of communication and distance forms of educational communications in it, which leads to a change in teaching methods and forms. The features of the learning processes of modern students have specific features now. The necessity of using mobile devices and new software is analyzed. Attention is drawn to the fact that not all teachers are well versed in modern means of online group communications. The basic means of group communications such as: Moodle, Zoom, Skype, Teams and others, providing remote communication of students and teachers are analyzed. The features and specificity of these means of communication are considered. Their possibilities are being studied. Results of reengineering studies at the department are presented. The results of testing student training based on modeling methods are presented too. A digital platform of knowledge models, which consists of two components is created and used. The first component is an interconnected set of models of academic disciplines developed by teachers, and the second component is the knowledge models of these disciplines that students create during their studies. Teaching methods based on integrated intelligence during pandemic in universities are made. Ways to improve learning technologies based on the use of integrated intelligence are proposed in high school.

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Section: The Results Of Researchers Of Education Processes Based On Integrated Intelligencementioning

confidence: 99%

Integration of Traditional and Distance Learning Methods in High School

Meteshkin

Pomortseva

Kobzan

2021

ITLT

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“…In Mendes et al (2017) authors proposed a technique for clustering LOs with similar characteristics, considering LS. From this grouping schema it recommends content for a student according to their corresponding LS.…”

Section: Related Workmentioning

confidence: 99%

“…In this work, the LOs are made available in a repository where a vectorization process is executed (feature extraction). These vectors are created based on LO attributes extracted from the evaluation of the rules satisfied by the system proposed by Mendes et al (2017). Afterwards these vectors are processed, using standard clustering algorithms, making recommendation process easier and lower costly.…”

Section: Related Workmentioning

confidence: 99%

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A low complexity heuristic to solve a learning objects recommendation problem

Falci

Dorça

Andrade

et al. 2020

Smart Learn. Environ.

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The recommendation of learning objects in virtual learning environments has become the focus of research to improve online learning experience. Several approaches have been presented in an attempt to model the individual characteristics of the students and offer learning objects that best suit their particularities. Most of them, though, are impractical in real-world scenarios due to the high computational cost as a huge number of repositories offering learning objects such as Youtube, Wikipedia, Stackoverflow, Github, discussion forums, social networks and many others are available and each has a large amount of learning objects that can be retrieved. In this work, we propose a low complexity heuristic to solve this problem, comparing it to a classical mixed-integer linear programming model and classical genetic algorithm in varying dataset sizes that contain from 2000 to 1360000 learning objects. Performance and optimality were analyzed. The results showed that the proposed technique was only slightly suboptimal, while its computational cost was considerably smaller than the one presented by the linear optimization approach.

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“…LOM is a specification designed by working group number 12 of the IEEE Learning Technology Standard Committee, which aims to define a set of attributes (metadata) that can describe educational resources, called learning objects, to facilitate their recovery [10]. The metadata are structured hierarchically based on nine categories.…”

Section: Introductionmentioning

confidence: 99%

Development of a classification system for Mathematical Logic

Cabezuelo

2019

Journal of Information Science

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The number of digital resources that exist in repositories and on the Internet in general is enormous. Recovering resources that fit with the user’s specific needs poses a problem. To solve this problem, metainformation is added to the resources. One type of metainformation is the classification of a resource using a classification system that is widely recognised and agreed upon by its users. In this way, each resource is assigned a precise place within the classification system, thus facilitating its location. This article proposes a taxonomy for the classification of the resources (notes, exercises, exams or programmes that could be stored within a digital repository) that are generated within the scope of a Mathematical Logic course for a computer science degree programme. It also describes how to represent the proposed taxonomy using the IMS-VDEX standard and how to integrate it in the LOM and Dublin Core metadata specifications and proposes a set of controlled vocabularies that make it possible to refine the taxonomic metainformation.

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Clustering learning objects in the IEEE-LOM standard considering learning styles to support customized recommendation systems in educational environments

Cited by 8 publications

References 21 publications

Integration of Traditional and Distance Learning Methods in High School

Integration of Traditional and Distance Learning Methods in High School

A low complexity heuristic to solve a learning objects recommendation problem

Development of a classification system for Mathematical Logic

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