Abstract
Faculties of Informatics are facing the problem in Hungary that students starting their tertiary education in Computer Sciences do not have a satisfactory level of algorithmic skills, their knowledge seems superficial, and the dropout rate is extremely high in these courses. We have launched a project to test how students’ algorithmic skills have been developed in their primary and secondary education, how students evaluate their knowledge. The test proved that an extremely high percentage of the students arrive at the Faculty of Informatics with underdeveloped algorithmic skills, with unreliable knowledge, and they do not consider the recently emerged, non-traditional environments as programming tools and facilities for developing algorithmic skills.
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Acknowledgment
The research was supported by the TÁMOP-4.2.2.C- 11/1/KONV-2012-0001 project. The project has been supported by the European Union, co-financed by the European Social Fund. The research was supported partly by the Hungarian Scientific Research Fund under Grant No. OTKA K-105262.
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Biró, P., Csenoch, M., Abari, K., Máth, J. (2016). First Year Students’ Algorithmic Skills in Tertiary Computer Science Education. In: Kunifuji, S., Papadopoulos, G., Skulimowski, A., Kacprzyk , J. (eds) Knowledge, Information and Creativity Support Systems. Advances in Intelligent Systems and Computing, vol 416. Springer, Cham. https://doi.org/10.1007/978-3-319-27478-2_24
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