Open AccessArEnAlg: A Pedagogical Mobile Application for Algorithms Linguistics Based on a Semantic Bilingual Ontology
Author(s) -
Amany Alnahdi,
Rania Aboalela,
Rasha K. Khazmari,
Fatmah Baothman,
Amal Babour,
Huda A Al Taisan
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2188/1/012010
Subject(s) - computer science , ontology , natural language processing , domain (mathematical analysis) , arabic , presentation (obstetrics) , artificial intelligence , dual (grammatical number) , natural language , linguistics , mathematics , medicine , mathematical analysis , philosophy , epistemology , radiology
Ontologies are knowledge structures that serve as the foundation for semantic applications. These semantic artifacts organize and classify knowledge to define the semantic relations among the concepts. Some ontologies are constructed for a single natural language, whereas others are built for dual or multi-natural languages. The goal of this study is to design and implement a mobile educational application to help students learn more effectively and to increase the learner’s acquisition of computational linguistics in the Algorithm domain. The methodology is to develop an application with unique features that can display the terms and the concepts in both Arabic and English languages in two different layouts: a list form and a flashcard form. The created app “ArEnAlg” can generate the terms in the algorithm domain. The major objective of the exercise modules is to examine the user’s knowledge of the concepts in the domain of algorithms. The evaluation results tested three factors: the learner’s enjoyment, the acquisition of the computational linguistics, and the application presentation, which showed that behavioral responses support the purpose of the developed application with a max-min range of 99% -81%.