Enhancing Learning Object Repositories with Ontologies

Behr, André; Mendes, Armando B.; Cascalho, José; Rossi, Luiz Henrique Longhi; Vicari, Rosa María; Trigo, Paulo; Novo, Paulo; Cavique, Luís; Guerra, Hélia

doi:10.1007/978-3-030-72654-6_44

Cited by 2 publications

(3 citation statements)

References 10 publications

(12 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The Integrated Management System (IMS) of Global Learning Consortium, which provides a variety of specifications and tools for creating, managing and sharing LOs, including the IMS Learning Resource Metadata (Nathai-Balkissoon, 2018). There are also open-source tools such as the Learning Object Repository and the LOM editor used to manage and classify LOs (Behr et al ., 2021). …”

Section: Related Work For Learning Object Classificationmentioning

confidence: 99%

See 1 more Smart Citation

New perspective of learning objects in e-learning system

Amane

Aissaoui

Berrada

2023

IJILT

View full text Add to dashboard Cite

PurposeTogether, learning objects (LOs) and e-pedagogical practices have the potential to improve the performance of e-learning systems in several ways. They can make e-learning more personalised and adaptable, providing students with a more engaging and effective learning experience.Design/methodology/approachThe development of LOs and e-pedagogical practices have significantly influenced and changed the performance of e-learning systems. LOs are self-contained, reusable units of instructional content that create instructional materials, such as online courses, tutorials and assessments. They provide a flexible and modular approach to designing and delivering e-learning content, allowing educators to easily customise and adapt their materials to the needs of their students. e-pedagogical practices refer to the use of technology to enhance and support the teaching and learning process. They include strategies such as online collaboration, gamification and adaptive learning to improve student engagement, motivation and achievement.FindingsTo achieve this objective, this study consists of two main phases. First, the authors extract metadata from LOs using latent semantic analysis algorithms, which are considered a strong tool in web-mining exploration techniques. Second, they identify LOs according to a particular form of similarity using fuzzy c-means (FCM) algorithms. To improve classification accuracy, the FCM is used as a clustering algorithm.Originality/valueFinally, in order to assess the effectiveness of LOs with FCM, a series of experimental studies using a real-world dataset are conducted. The results of this study indicate that the proposed approach exceeds the traditional approach and produces good results.

show abstract

Section: Related Work For Learning Object Classificationmentioning

confidence: 99%

“…(3) There are also open-source tools such as the Learning Object Repository and the LOM editor used to manage and classify LOs (Behr et al, 2021).…”

Section: Related Work For Learning Object Classificationmentioning

confidence: 99%

New perspective of learning objects in e-learning system

Amane

Aissaoui

Berrada

2023

IJILT

View full text Add to dashboard Cite

show abstract

“…Como un caso de esta señalada permeabilidad de IA en todos las áreas puede mencionarse dentro de los metadatos de recursos educativos el estándar OBAA (Agents-based learning objects) que incluye conceptos como agentes y ontologías (Behr et al, 2021).…”

Section: Introductionunclassified

Reflexiones sobre la inteligencia artificial y la bibliotecología

Temesio

2022

Palabra clave

View full text Add to dashboard Cite

La inteligencia artificial (IA) se manifiesta en algoritmos cuyo desempeño es difícil de predecir o explicar. Estos algoritmos se aplican a cuestiones de la vida cotidiana de los ciudadanos, como por ejemplo el otorgamiento de un préstamo bancario, y han empezado a utilizarse por parte del gobierno electrónico. Actualmente se investiga la aplicación de IA a todos los campos del conocimiento. En este trabajo se refieren brevemente algunos desarrollos en las ciencias de la información y se presentan algunos de los desafíos que plantea la aplicación de IA, como el sesgo y la opacidad. Frente a estos desafíos hay opiniones de la ética de la información, el movimiento de software libre e investigaciones académicas para mejorar la explicabilidad de IA (XAI). Por último, se detalla sucintamente la estrategia de gobierno electrónico en Uruguay. Queda abierta la reflexión y, en particular, se recomienda la inclusión en la formación académica de estos temas en las carreras de bibliotecología.

show abstract

Enhancing Learning Object Repositories with Ontologies

Cited by 2 publications

References 10 publications

New perspective of learning objects in e-learning system

New perspective of learning objects in e-learning system

Reflexiones sobre la inteligencia artificial y la bibliotecología

Contact Info

Product

Resources

About