OntoSakai: On the optimization of a Learning Management System using semantics and user profiling

Muñoz, Andrés; Lasheras, Joaquín; Capel, Ana; Cantabella, Magdalena; Caballero, Alberto

doi:10.1016/j.eswa.2015.04.019

Cited by 31 publications

(17 citation statements)

References 25 publications

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“…In e-Learning courses (also referred to as web-based education), learning takes place through students' interactions with the pedagogical support resources (Chat, Forum, Wiki, Pages, Links, and others) available in the learning platforms. Muñoz et al (2015) describe LMS as a work environment used to support content management, the academic process, and the monitoring of learning development from the data generated during student interactions for knowledge building.…”

Section: Introductionmentioning

confidence: 99%

Monitoring Academic Performance Based on Learning Analytics and Ontology: A Systematic Review

Costa¹,

Sanches²,

Amorim³

et al. 2020

Informatics in Education

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This paper presents a systematic literature review of the coordinated use of Learning Analytics and Computational Ontologies to support educators in the process of academic performance evaluation of students. The aim is to provide a general overview for researchers about the current state of this relationship between Learning Analytics and Ontologies, and how they have been applied in a coordinated way. We selected 31 of a total of 1230 studies related to the research questions. The retrieved studies were analyzed from two perspectives: first, we analyzed the approaches where researchers used Learning Analytics and Ontologies in a coordinated way to describe some Taxonomy of Educational Objectives; In the second perspective, we seek to identify which models or methods have been used as an analytical tool for educational data. The results of this review suggest that: 1) few studies consider that student interactions in the Learning Management System can represent students' learning experiences; 2) most studies use ontologies in the context of learning object assessment to enable learning sequencing; 3) we did not identify methods of evaluation of academic performance guided by Taxonomies of Educational Objectives; and 4) no studies were identified that report the coordinated use of Learning Analytics and Computational Ontologies, in the context of academic performance monitoring. Thus, we identify future directions of research such as the proposal of a new model of evaluation of academic performance.

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Section: Introductionmentioning

confidence: 99%

Monitoring Academic Performance Based on Learning Analytics and Ontology: A Systematic Review

Costa¹,

Sanches²,

Amorim³

et al. 2020

Informatics in Education

View full text Add to dashboard Cite

show abstract

“…Many advanced features can be applied to improve learning outcomes, students’ performance, and their satisfaction with the learning process that takes place within Learning Management Systems (LMS). Personalization and recommendation of educational materials can be emphasized as quite important because of immediate and affordable utilization . Personalization can be implemented into e‐learning platforms by applying different adaptation criteria, such as the level of knowledge, interests, goals, and individual traits .…”

Section: Introductionmentioning

confidence: 99%

A semantic approach to enhance moodle with personalization

Perišić

Milovanović

Kazi

2018

Comp Applic In Engineering

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The purpose of this paper is to present a framework for an adaptive mechanism implemented in Moodle in order to improve learning outcomes and students' satisfaction with the learning process. The proposed mechanism adapts the learning content within the course according to students' characteristics expressed by their learning style. In our study, student's learning style is dynamically determined by monitoring students’ actions and activities during the learning process, and detecting patterns of behavior that correspond to specific learning style. Semantic web technologies are in the background of the entire adaptive system. In order to examine the effectiveness of the proposed model and students' feedback, an evaluation study was conducted on two groups of students. Students from the control group had access to standard Moodle course, while students from experimental group had access to personalized learning content. The results indicated that students' performance was improved by using the proposed framework, while the student's feedback from regarding its usefulness was positive.

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“…New advanced features can now be introduced in LMSs aimed at enhancing the experience of students and lecturers with these platforms and even to improve academic results [12].…”

Section: Learning Management System (Lms)mentioning

confidence: 99%

Lms Selection Process For Effective Distance Education System In Organizations

Karagöz¹,

Oral²,

Kaya³

et al. 2017

KSS

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Towards the end of the 20 ℎ century, especially development of science and technology brought some innovation to some conceptual area such as education. In society, to build a quality and civilized life, education emerges as a one of the most important actors. Unfortunately, the rights in education of the every person in society may be delayed due to financial problems, physical disabilities, time pressure, geographical distances or any other reasons. Distance learning is a one of the method that provides education for people by eliminating these disadvantages. Since end of the 19th century, distance education has been provided with some methods such as TV, radio, mail and etc. Especially, in the beginning of 21 ℎ century; internet is widely used by everybody.New technological environment has brought a new opportunity for distance education. Learning Management System (LMS) is the most important actor of the internet based distance learning that brings together educators and students for training. LMS allows to deliver materials, having assignment and quizzes and other educational activities.Whether educational institutions or organizations that are emphasis on the training of employees can use LMS platform. Every organization has to decide which LMS is suitable for them. Decision makers face to solve this kind of problems because every LMS has different characteristics and different learning process. This study is focused on choosing suitable LMS for organizations by using AHP methods. Two groups of LMS, open source software's (Moodle and Sakai) and commercial software's (BlackBoard and Sharepoint LMS), are compared by using selecting criteria's. These criteria's are license costs, flexibility, security, user interface and prevalence of use. In the decision process, different weight ratios are used depending on their priority. The findings of this AHP Process are discussed.

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OntoSakai: On the optimization of a Learning Management System using semantics and user profiling

Cited by 31 publications

References 25 publications

Monitoring Academic Performance Based on Learning Analytics and Ontology: A Systematic Review

Monitoring Academic Performance Based on Learning Analytics and Ontology: A Systematic Review

A semantic approach to enhance moodle with personalization

Lms Selection Process For Effective Distance Education System In Organizations

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