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Brain Journal-Auto-Generative Learning Objects In Online Assessment Of Data Structures Disciplines-Figure 2. Auto-Generative Learning Object Model Definition

Name: Brain Journal-Auto-Generative Learning Objects In Online Assessment Of Data Structures Disciplines-Figure 2. Auto-Generative Learning Object Model Definition
Creator: Ciprian-Bogdan Chirila
Keywords: auto-generative learning objects, generative learning objects, online assessment

appsOther research productkeyboard_double_arrow_right Image 21 Apr 2017 English Publisher:Zenodo

Authors: Ciprian-Bogdan Chirila;

doi: 10.5281/zenodo.1182219 , 10.5281/zenodo.1182220

Brain Journal-Auto-Generative Learning Objects In Online Assessment Of Data Structures Disciplines-Figure 2. Auto-Generative Learning Object Model Definition

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Abstract

In this section, we will present the structure of AGLOs in the context of our approach. The AGLO meta-model is structured in XML as in Figure 2,a refinement from Chirila, Ciocarlie, and Stoicu (2015). The AGLO definition contains several sections like name, scenario, theory, question, answers, and feedback (line 01). The name element contains the name of the AGLO, possibly a small description in the human language (line 02). The section of the scenario (line 03) contains a comment (line 04) followed by a set of symbol definitions. The comment should describe the imagined scenario in details and it has the same role as code comments. The symbol is the central element of the AGLO model. The symbol has a name and is very similar to programming language variables. Symbols may be called also parameters since they control the content of the AGLO content in the process of instantiation.

https://www.edusoft.ro/brain/index.php/brain/article/view/672/750

Related Organizations

Polytechnic University of Timişoara
Romania

Keywords

auto-generative learning objects, generative learning objects, online assessment

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