Program Execution Comprehension Modelling for Algorithmic Languages Learning Using Ontology-Based Techniques

Autor:	Alexander Katyshev, Anton Anikin, Mikhail Denisov, Oleg Sychev
Rok vydání:	2020
Předmět:	Branching (linguistics) Comprehension Algorithmic language Sequence Computer science Programming language E-learning (theory) Ontology (information science) Control (linguistics) computer.software_genre Programmer computer
Zdroj:	Proceedings of Fifth International Congress on Information and Communication Technology ISBN: 9789811558580
DOI:	10.1007/978-981-15-5859-7_25
Popis:	In this paper, we propose an ontology-based approach to model a program execution comprehension so to be able to explain to the novice programmer the essence of his/her error. We have studied the algorithmic languages model operating with actions and basic control structures (“sequence,” “branching,” and “looping”) and designed the rules to capture any deviation from the permissible.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::baeff9520330d77162fed07a3ac45415 https://doi.org/10.1007/978-981-15-5859-7_25 Zobrazit plný text záznamu