The computing ontology

Cassel, Lillian N.; Davies, Gordon; Fone, William; Hacquebard, Anneke; Impagliazzo, John; LeBlanc, Richard J.; Little, Joyce Currie; McGettrick, Andrew; Pedrona, Michela

doi:10.1145/1345375.1345439

Cited by 21 publications

(2 citation statements)

References 7 publications

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“…There are several ontology development tools that implement concept model ontology in different languages. Our ontology experts utilize Protégé [9] to transform the conceptual map produced by the course tutors into a formal model by using the formal OWL language [10]. Figure 2 shows an OWL/XML/RDF syntax of relations between two classes and Figure 3 shows a part of Frame Systems concept map in Protégé.…”

Section: A a Methodology For Building Ontologiesmentioning

confidence: 99%

Ontological Modelling for Intelligent E-learning

Aggelopoulou

Pierrakeas

Artikis

et al. 2014

2014 IEEE 14th International Conference on Advanced Learning Technologies

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The evolution of scientific research as well as the development of the relevant technologies and methodologies in the area of distance learning fall within the scope of the objectives the Hellenic Open University whose mission is to provide distance education at both undergraduate and postgraduate level. To develop intelligent e-learning applications, we capture the semantics of the Computer Science module concepts with the use of ontologies, by following a specific methodology to build domain knowledge ontologies. We illustrate our approach by presenting the construction of the ontologies of the Artificial Intelligence & Expert Systems module.)

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Section: A a Methodology For Building Ontologiesmentioning

confidence: 99%

Ontological Modelling for Intelligent E-learning

Aggelopoulou

Pierrakeas

Artikis

et al. 2014

2014 IEEE 14th International Conference on Advanced Learning Technologies

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“…The term "outcomes" refers to the learning objectives for any proposed curriculum. These objectives must be clearly defined in order to choose a realistic set of topics and activities that will make up the students' experience [4]. The learning outcomes of the students are rated according to the Malaysia Qualification Framework (MQF) domain [5].…”

Section: Introductionmentioning

confidence: 99%

Systematic Review of Rubric Ontology in Higher Education

Noor,

Mamat,

Mohemad

et al. 2023

IJACSA

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Assessing students is a common practice in educational settings. Students will be evaluated using several methods or tools to determine how well they have acquired knowledge or progressed. There are two distinct types of assessment is summative and formative. Rubrics are used to evaluate student performance. However, the development of the rubric is challenging because subject-matter expertise is required. Ontology has been utilized in certain research to communicate knowledge relevant to rubrics, but these studies do not map to the important learning outcomes. Rubrics are developed in Malaysia to support outcome-based education (OBE) based on the Malaysia Qualification Framework (MQF). It is essential to discover if the technology supports rubrics that leverage learning outcomes to produce the best possible rubric. A systematic review of the literature (SLR) was used to carry out this analysis. In the years 2018 through 2022, 42 papers were reviewed. In conclusion, the key finding of this work is that rubric-based outcome learning is the most recent research area to get attention and that only a small number of studies have used ontologies to develop rubrics based on learning outcomes.

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