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July 2018
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BRAIN: Auto-generative Learning Objects in Online Assessment of Data Structures Disciplines

Nowadays, the IT industry is in a human resources crisis. The students tend to use their laptops and phones more often than in the last decades. The tutors are more and more loaded with teaching, research and administrative tasks. Consequently, the universities should take into account the use of technologies like LMSs (Learning Managements Systems), MOOCs (Massive Open Online Courses), GLOs (Generative Learning Objects) or AGLOs (Auto-Generative Learning Objects). This paper, written by Ciprian-Bogdan Chirila from Politehnica University of Timisoara, focuses on computer science disciplines (data structures and algorithms) and shows the way in which a tutor can build several auto-generative learning objects in order to assess the knowledge of a class of students.

The AGLO online assessment approach

Section 2 of the paper presents related works in the area of learning objects. We can find works which present a generative model for teaching computer science disciplines using Lego robots, principles for designing e-learning tools dedicated to the local automotive andustry, a similar model to the AGLO approach controlled by parameters but enhanced with dynamic learning and evaluation functionalities and so on. We discover that there are a lot of original model which can be used in the area of learning objects.


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