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Mariela Tapia-Leon

Bio: Mariela Tapia-Leon is an academic researcher from University of Guayaquil. The author has contributed to research in topics: Syllabus & Ontology (information science). The author has an hindex of 4, co-authored 16 publications receiving 74 citations.

Papers
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Book ChapterDOI
10 Jan 2018
TL;DR: The results provide some findings regarding how recommendation systems can be used to support main areas in education, what approaches techniques or algorithms recommender systems use and how they address different issues in the academic world.
Abstract: Several researchers study recommendation systems to assist users in the retrieval of relevant goods and services, mostly used in e-commerce. However, there is limited information of the impact of recommender systems in other domains like education. Thus, the objective of this study is to summarize the current knowledge that is available as regards recommendation systems that have been employed within the education domain to support educational practices. By performing a systematic mapping study, a total of 44 research papers have been selected, reviewed and analyzed from an initial set of 1181 papers. Our results provide some findings regarding how recommendation systems can be used to support main areas in education, what approaches techniques or algorithms recommender systems use and how they address different issues in the academic world. Moreover, this work has also been useful to detect some research gaps and key areas where further investigation should be performed, like the introduction of data mining and artificial intelligence in recommender system algorithms to improve personalization of academic choices.

47 citations

Proceedings ArticleDOI
17 Apr 2018
TL;DR: The results contribute key findings regarding how ontologies are used in higher education institutes, what technologies and tools are applied for the development of ontologies and what are the main vocabularies reused in the application of ontology.
Abstract: Universities and higher education institutes continually create knowledge. Hence it is necessary to keep a record of the academic and administrative information generated. Considering the vast amount of information managed by higher education institutions and the diversity of heterogeneous systems that can coexist within the same institution, it becomes necessary to use technologies for knowledge representation. Ontologies facilitate access to knowledge allowing the adequate exchange of information between people and between heterogeneous systems. This paper aims to identify existing research on the use and application of ontologies in higher education. From a set of 2792 papers, a study based on systematic mapping was conducted. A total of 52 research papers were reviewed and analyzed. Our results contribute key findings regarding how ontologies are used in higher education institutes, what technologies and tools are applied for the development of ontologies and what are the main vocabularies reused in the application of ontologies.

28 citations

01 Jan 2017
TL;DR: The abstract of a scientific publication is the letter of the research project carried out as mentioned in this paper, it is the first and sometimes the only opportunity for the researcher to the reader to try to show the relevance of their study and arouse their interest to continue reading.
Abstract: The abstract of a scientific publication is the letter of the research project carried out. It is the first and sometimes the only opportunity for the researcher to the reader to try to show the relevance of their study and arouse their interest to continue reading. Despite the inherent importance of the abstract, some authors attach little value to its development and often omit important information. This investigation quantitative approach, conducted an analysis of abstracts work degree de universities in Ecuador on education published in 2016.

17 citations

Proceedings ArticleDOI
26 Apr 2018
TL;DR: The results show that some researchers have used ontologies for many purposes, widely concerning with learning objectives, Nevertheless, the ontologies created by the authors do not fulfill with the five-stars rating and do not have all components of a well-suited syllabus.
Abstract: A syllabus is an important document for teachers, students, and institutions. It represents what and how a course will be conducted. Some authors have researched regarding the components for writing a good syllabus. However, there is not a standard format universally accepted by all educators. Even inside the same university, there are syllabuses written in different type of files like PDF, DOC, HTML, for instance. These kind of files are easily readable by humans but it is not the same by machines. On the other hand, ontologies are technologies of knowledge representation that allow setting information understandable for both humans and machines. In this paper, we present a literature review regarding the use of ontologies for syllabus representation. The objective of this paper is to know the use of ontologies to represent a syllabus semantically and to determine their score according to the five-stars of Linked Data vocabulary use scale. Our results show that some researchers have used ontologies for many purposes, widely concerning with learning objectives. Nevertheless, the ontologies created by the authors do not fulfill with the five-stars rating and do not have all components of a well-suited syllabus.

4 citations

Proceedings ArticleDOI
23 Aug 2019
TL;DR: The OntoSyllabus ontology was created for the representation of syllabuses applying the NeOn methodology to allow the comprehension for both: machines and humans, and it will facilitate the interchange of data between different services and applications.
Abstract: The syllabus is a relevant document to organize how the teaching-learning process will be carried out during an academic course in Higher Education Institutions (HEI). Usually, this document is written in a human-readable format that do not enable automatic processing through intelligent services to support teaching and learning. Therefore, we created OntoSyllabus ontology for the representation of syllabuses applying the NeOn methodology. The semantic model of a syllabus will allow the comprehension for both: machines and humans, and it will facilitate the interchange of data between different services and applications. The ontology was created based on the results of our three previous studies, which helped us to determinate the terms and relations in the syllabus ontology. The documentation and the computable model are available on the Internet for their reuse.

4 citations


Cited by
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Journal ArticleDOI
TL;DR: This paper proposes a hybrid recommender system, MoodleRec, implemented as a plug-in of the Moodle Learning Management System, which can sort through a set of supported standard compliant Learning Object Repositories, and suggest a ranked list of Learning Objects following a simple keyword-based query.

79 citations

Journal ArticleDOI
01 Jan 2022
TL;DR: In this article , the authors examined the development and evaluation of ontology-based recommender systems and discussed technical ontology use and the recommendation process and found that the most popular recommendation item is the learning object.
Abstract: Ontology and knowledge-based systems typically provide e-learning recommender systems. However, ontology use in such systems is not well studied in systematic detail. Therefore, this research examines the development and evaluation of ontology-based recommender systems. The study also discusses technical ontology use and the recommendation process. We identified multidisciplinary ontology-based recommender systems in 28 journal articles. These systems combined ontology with artificial intelligence, computing technology, education, education psychology, and social sciences. Student models and learning objects remain the primary ontology use, followed by feedback, assessments, and context data. Currently, the most popular recommendation item is the learning object, but learning path, feedback, and learning device could be the future considerations. This recommendation process is reciprocal and can be initiated either by the system or students. Standard ontology languages are commonly used, but standards for student profiles and learning object metadata are rarely adopted. Moreover, ontology-based recommender systems seldom use the methodology of building ontologies and hardly use other ontology methodologies. Similarly, none of the primary studies described ontology evaluation methodologies, but the systems are evaluated by nonreal students, algorithmic performance tests, statistics, questionnaires, and qualitative observations. In conclusion, the findings support the implementation of ontology methodologies and the integration of ontology-based recommendations into existing learning technologies. The study also promotes the use of recommender systems in social science and humanities courses, non-higher education, and open learning environments.

50 citations

Journal ArticleDOI
TL;DR: The purpose of this systematic review is to analyze the work undertaken on recommendation systems that support educational practices with a view to acquiring information related to the type of education and areas dealt with, the developmental approach used, and the elements recommended, as well as to detect any gaps in this area for future research work.
Abstract: Recommendation systems have emerged as a response to overload in terms of increased amounts of information online, which has become a problem for users regarding the time spent on their search and the amount of information retrieved by it. In the field of recommendation systems in education, the relevance of recommended educational resources will improve the student’s learning process, and hence the importance of being able to suitably and reliably ensure relevant, useful information. The purpose of this systematic review is to analyze the work undertaken on recommendation systems that support educational practices with a view to acquiring information related to the type of education and areas dealt with, the developmental approach used, and the elements recommended, as well as being able to detect any gaps in this area for future research work. A systematic review was carried out that included 98 articles from a total of 2937 found in main databases (IEEE, ACM, Scopus and WoS), about which it was able to be established that most are geared towards recommending educational resources for users of formal education, in which the main approaches used in recommendation systems are the collaborative approach, the content-based approach, and the hybrid approach, with a tendency to use machine learning in the last two years. Finally, possible future areas of research and development in this field are presented.

42 citations

21 Jul 2016
TL;DR: The University for Peace was established as a Treaty Organization with its own Charter in an International Agreement, adopted by the United Nations General Assembly in Resolution 35/55 of 5 December 1980 with the mission “to provide humanity with an international institution of higher education for peace and with the aim of promoting among all human beings the spirit of understanding, tolerance and peaceful coexistence, to stimulate cooperation among peoples and to help lessen obstacles and threats to world peace and progress, in keeping with the noble aspirations proclaimed in the Charter of United Nations.
Abstract: The University for Peace was established as a Treaty Organization with its own Charter in an International Agreement, adopted by the United Nations General Assembly in Resolution 35/55 of 5 December 1980 with the mission “to provide humanity with an international institution of higher education for peace and with the aim of promoting among all human beings the spirit of understanding, tolerance and peaceful coexistence, to stimulate cooperation among peoples and to help lessen obstacles and threats to world peace and progress, in keeping with the noble aspirations proclaimed in the Charter of the United Nations.”

34 citations