PasOnto: Ontology for Learning Pascal Programming Language

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Publicado en:The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings (2019), p. 749.
Autor principal: Diatta, Baboucar
Otros Autores: Basse, Adrien, Ouya, Samuel
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The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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100 1 |a Diatta, Baboucar 
245 1 |a PasOnto: Ontology for Learning Pascal Programming Language 
260 |b The Institute of Electrical and Electronics Engineers, Inc. (IEEE)  |c 2019 
513 |a Conference Proceedings 
520 3 |a Conference Title: 2019 IEEE Global Engineering Education Conference (EDUCON) Conference Start Date: 2019, April 8 Conference End Date: 2019, April 11 Conference Location: Dubai, United Arab Emirates The Pascal programming language is one of the most pedagogical languages to learn coding. The best way to improve coding skills is through practice. In that regard, we give in our programming course the opportunity to practice the Pascal programming language concepts by providing exercises with solutions. To enhance learners’ understanding, research suggests to represent exercises querying using ontologies. Nevertheless, such research focuses mainly on object-oriented programming (Java, C#) and C programming language. For this reason, this work proposes PasOnto ontology to describe exercise solutions essentially in Pascal programming. We also propose a web and mobile interface around this ontology so as to query and highlight Pascal keywords in displayed exercise solution. 
653 |a Object oriented programming 
653 |a Programming languages 
653 |a C (programming language) 
653 |a Ontology 
653 |a Engineering education 
653 |a Pascal (programming language) 
653 |a Knowledge representation 
653 |a Coding 
653 |a Java 
700 1 |a Basse, Adrien 
700 1 |a Ouya, Samuel 
773 0 |t The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings  |g (2019), p. 749. 
786 0 |d ProQuest  |t Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/2232744905/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch