Model-Driven Development of Context-aware Adaptive Learning Systems

Autor:	Alain Derycke, Henda Ben Ghezala, Jihen Malek, Mona Laroussi
Rok vydání:	2010
Předmět:	Context model Ubiquitous computing Programming language Computer science Modeling language Context (language use) computer.file_format computer.software_genre Human–computer interaction Adaptive system Visual modeling Executable Adaptive learning computer
Zdroj:	ICALT
DOI:	10.1109/icalt.2010.125
Popis:	This paper presents the results of our innovative approach for the realization of a model driven development framework for modeling context-aware adaptive learning activities within Context-aware and adaptive learning environments. Its core element consists of a domain specific visual modeling language called CAAML (Context-aware Adaptive Activities Modeling Language). After, we present the developed authoring tool based on CAAML language and that aims to support pedagogical designers to model context-aware adaptive learning activities and transform them into executable models represented in IMS-LD.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d70985fac6ddc53131722276bc871700 https://doi.org/10.1109/icalt.2010.125 Zobrazit plný text záznamu