Semantic Web and ontologies for personalisation of learning in MOOCs

Sammour, George; Alzoubi, Abdallah; Gladun, Anatoly; Khala, Katerina; Schreurs, Jeanne

doi:10.1109/intelcis.2015.7397219

Cited by 9 publications

(6 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Table 6 shows the year wise summary of the papers, their types, and publishers. [55] Journal Science Direct [56,57] Conference IEEE [58] Conference SIMBig 2014 [59] Conference ACM [60,61] Conference EDM [62][63][64][65][66][67] Conference IEEE [68] Journal Elsevier [69] Conference INTED2015 [70] Conference ICRTEST [71][72][73][74] Conference IEEE [75] Conference EDM [76] Journal RISTI [77,78] Conference ACM [79] During this search, we have identified journals that support this domain, these are shown in. Table 7.…”

Section: Identification Of Primary Studiesmentioning

confidence: 99%

“…Furthermore, learning analytics were used in Chen et al [81] using data from UpWork 7 to recommend relevant courses to the learner. Ontology based techniques in Sammour et al [64] and Campos et al [105] were used for course recommendation. Machine learning was also found in literature to recommend courses.…”

Section: Rq1 How Many Studies Supported Their Claim With Experiments and Which Datasets Were Used In The Studies?mentioning

confidence: 99%

See 1 more Smart Citation

A Systematic Mapping Review on MOOC Recommender Systems

et al. 2021

View full text Add to dashboard Cite

Online learning environments (OLE) are gaining popularity, including learning management systems (LMS) and massive open online courses (MOOCs), which are the best modern alternate solutions available for education in the current era. The luxury to learn irrespective of geographical and temporal restrictions makes it an attractive resource. At the start of 2020, the global pandemic enforced social distance practice worldwide, changing the work environment dynamics, leaving the people with options like online trading, work from home, and online education. The online learning environments gained particular attention in the educational sector, where users could access the online learning resources to fulfil their academic requirements during the lockdown. From massively available content such as MOOC, the learners are overwhelmed with the available choices. In this scenario, recommender systems (RS) come to the rescue to help the learner make appropriate choices for completing the enrolled course. There is tremendous scope and a multitude of opportunities available for researchers to focus on this domain. An exhaustive analysis is required to spotlight the opportunities in this realm. Various studies have been performed to provide such solutions in multiple areas of the MOOC recommendation systems (MOOCRS) such as course recommendation, learner peer recommendation, resource recommendations, to name a few. This is a compendious study into the research conducted in this area, identifying 670 articles out of 116 selected for analysis published from 2013 to 2021. It also highlights multiple areas in MOOC, where the recommendation is required, as well as technologies used by other researchers to provide solutions over time.

show abstract

Section: Identification Of Primary Studiesmentioning

confidence: 99%

Section: Rq1 How Many Studies Supported Their Claim With Experiments and Which Datasets Were Used In The Studies?mentioning

confidence: 99%

A Systematic Mapping Review on MOOC Recommender Systems

et al. 2021

View full text Add to dashboard Cite

show abstract

“…George Sammour et al [16] have used linked data concepts for searching and recommending user-relevant MOOCs courses fitting the level of students' education based on the semantic representation of the user's knowledge of the subject area have presented. Ontologies are used to model a learner's knowledge level and the level of a course.…”

Section: Related Workmentioning

confidence: 99%

Dynamic Identification of Learning Styles in MOOC Environment Using Ontology Based Browser Extension

Mishra

Agarwal

Kolekar

2021

Int. J. Emerg. Technol. Learn.

View full text Add to dashboard Cite

With the advent of the era of big data and Web 3.0 on the horizon, different types of online deliverable resources in the pedagogical field have also become raft. Massive Open Online Courses (MOOCs) are the most important of such learning resources that provide many courses at different levels for the learners on the go. The data generated by these MOOCs, however, is often unorganized and difficult to track or is not used to the extent that allows identification of learner types to facilitate better learning. The proposed approach in this paper aims to detect the learning style of a learner, interacting with the MOOC portal, dynamically and automatically through a novel, indigenous and in-built browser extension. This extension is used to capture the usage parameters of the learner and analyze learning behavior in real-time. The usage parameters are captured and stored as a learner ontology to ease sharing and operating across different platforms. The learning style so deduced is based on the Felder Silverman Learning Style Model (FSLSM), where learner’s behavior under multiple criteria, vis-`a-vis perception, input, understanding, and processing are measured. Based on the generated ontological semantics of learner’s behavior, multiple models can be made to facilitate precise and efficient learning. The result shows that this state-of-the-art approach identifies and detects the learning styles of the learners automatically and dynamically, i.e., changing over time

show abstract

“…El estudio realizado por Sammour et al (2015) refiere que una de las alternativas posibles para intentar resolver la problemática de permanencia y conclusión de un curso MOOC, es la de integrar los MOOC con los distintos tipos de desarrollos y tendencias tecnológicas, es decir, integrar la información de los usuarios tienen diferentes niveles de educación asociadas a sus necesidades o preferencias, lo que es favorable para un proceso de enseñanza -aprendizaje de calidad.…”

Section: Moocunclassified

“…Por tal motivo, integrar los servicios Web semánticos a los MOOC, resulta propicio, debido a que dicha integración constituye un mecanismo tecnológico factible para el proceso de enseñanza -aprendizaje en las instituciones educativas.A través de la integración de la Web Semántica y los MOOC, es posible trabajar de manera coordinada en base a la información requerida para un proceso de enseñanza -aprendizaje con calidad, necesario para los profesionales que se forman. Esta integración propone facilitar la localización de los recursos a través de metadatos semánticos, que describen contenido, significado y la relación de los datos, lo que conduce a la comunicación entre sistemas y programas lo y obedece a la utilización y reutilización de recursos que se encuentran disponibles en la web Sammour et al, (2015),. afirman que la Web semántica basada en ontologías, facilita la personalización del aprendizaje en MOOC, ya que, a través de las ontologías, en la Web semántica, se presenta un enfoque basado en la representación semántica de conocimiento del área temática que se requiera y en particular podrán los profesionales que se forman, hacer uso de ella para una mejora continua del proceso de enseñanza -aprendizaje.…”

unclassified

Integración MOOC y web semántica en el proceso de Enseñanza - Aprendizaje del siglo XXI

Luca¹,

Benítez²

2020

3C TIC

View full text Add to dashboard Cite

The process of teaching-apprenticeship in the processes of training and professional surmounting and specially the integration between the industrial processes for the professionals that is formed require, more and more, of a sustenance in the technologies of the information and the communications. Your endless occurrence and without limitations space out-temporal, constitute anticipated for the appropriate attainment of the process of teaching in the XXI century. In the viable solutions constitutes it the integration of the Massive Open Online Course (MOOC, Massive Open Online Course), with the use of the information that is to store in digital repositories, digital arcades, and other resources as it is the semantic web. The present work has as objective, lay the foundations of the integration between the MOOC and the semantic web for a process of teaching-apprenticeship of quality, as demand it the educational contexts of the XXI century, for the sake of facilitating the massive apprenticeship and on line of the professionals that form to him. The sample was composite for 10500 participants. It used to him the Delphi method to evaluate the effectiveness of the integration of the MOOC and the semantic web. By means of the Delphi method, a group of 45 expert made evident that the time factor is the key to lay the foundations of the integration between the MOOC and the semantic web. It concludes to him that without measurement of the results it cannot value the success of the integration of the MOOC and the semantic web, for a process of teaching-apprenticeship of quality.

show abstract

Semantic Web and ontologies for personalisation of learning in MOOCs

Cited by 9 publications

References 5 publications

A Systematic Mapping Review on MOOC Recommender Systems

A Systematic Mapping Review on MOOC Recommender Systems

Dynamic Identification of Learning Styles in MOOC Environment Using Ontology Based Browser Extension

Integración MOOC y web semántica en el proceso de Enseñanza - Aprendizaje del siglo XXI

Contact Info

Product

Resources

About