OLYMPIADS IN INFORMATICS, 2019, Vol. 13, pp. 3 - 20
© IOI, Vilnius University

ISSN 1822-7732

DOI: 10.15388/ioi.2019.01

TLCS: A Digital Library with Resources to Teach and Learn Computer Science

Sébastien COMBÉFIS1, Guillaume DE MOFFARTS1, Mile JOVANOV2

1Computer Science and IT in Education ASBL, Louvain-la-Neuve, Belgium
2Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University st. Rugjer Boshkovikj 16 Skopje, North Macedonia
e-mail: sebastien@combefis.be, guillaume.demoffarts@csited.be, mile.jovanov@gmail.com

Abstract

Nowadays, teaching and learning computer science is done at various ages, for several topics and for different reasons. Depending on the country, it can start from the primary school and it finishes at the higher education level, or even later if we take continuing education into consideration. Topics to be learned can be as simple as binary representation or basic programming concepts that can be taught to children to introduce them to computer science. It is also possible to teach and learn advanced data structures or algorithms optimisation, which are interesting skills for Olympiad in Informatics contestants, for example. Recently, there is a prominent number of websites and applications that have been created to help the teaching and learning of many informatics concepts. This paper presents a platform that has been designed to browse a database of resources that can be used to teach or to learn computer science. This digital library contains freely accessible resources and can be searched efficiently thanks to the proposed structure for its content. It has been designed to maximise the user’s experience and to fit modern models of digital libraries. For each resource, a detailed information sheet has been produced, containing among other things pedagogical information to help teachers and learners use the resources as best as possible. This platform can also be used to train candidates to Olympiad in Informatics and other related and similar competitions.

Keywords:

computer science education, digital library, pedagogical resources database, teaching and learning.


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Vilnius University, 2019