Informatics in Education logo


Login Register

  1. Home
  2. Issues
  3. Volume 14, Issue 2 (2015)
  4. Testing Algorithmic Skills in Traditiona ...

Informatics in Education

INFORMATION Submit your article Help
  • Article info
  • Related articles
  • More
    Article info Related articles

Testing Algorithmic Skills in Traditional and Non-Traditional Programming Environments
Volume 14, Issue 2 (2015), pp. 175–197
Mária CSERNOCH   Piroska BIRÓ   János MÁTH   Kálmán ABARI  

Authors

 
Placeholder
https://doi.org/10.15388/infedu.2015.11
Pub. online: 13 October 2015      Type: Article     

Published
13 October 2015

Abstract

The Testing Algorithmic and Application Skills (TAaAS) project was launched in the 2011/2012 academic year to test first year students of Informatics, focusing on their algorithmic skills in traditional and non-traditional programming environments, and on the transference of their knowledge of Informatics from secondary to tertiary education. The results of the tests clearly show that students start their studies in Informatics with underdeveloped algorithmic skills, only a very few of them reaching the level of extended abstract. To find reasons for these figures we have analyzed the students' problem solving approaches. It was found that the students, almost exclusively, only consider traditional programming environments appropriate for developing computational thinking, algorithmic skills. Furthermore, they do not apply concept and algorithmic based methods in non-traditional computer related activities, and as such, mainly carry out ineffective surface approach methods, as practiced in primary and secondary education. This would explain the gap between the expectations of tertiary education, the students' results in the school leaving exams, and their overestimation of their knowledge, all of which lead to the extremely high attrition rates in Informatics.

Related articles PDF XML
Related articles PDF XML

Copyright
No copyright data available.

Keywords
algorithmic skills spreadsheet deep and surface metacognitive approaches self-assessment school leaving exams

Metrics
since February 2020
2653

Article info
views

0

Full article
views

867

PDF
downloads

293

XML
downloads

Export citation

Copy and paste formatted citation
Placeholder

Download citation in file


Share


RSS

INFORMATICS IN EDUCATION

  • Online ISSN: 2335-8971
  • Print ISSN: 1648-5831
  • Copyright © 2024 Vilnius University
  •  

For contributors

  • Submit
  • OA Policy

Contact us

  • Institute of Data Science and Digital Technologies,
  • Vilnius University, Akademijos St. 4, 08412, Vilnius, Lithuania
  • E-mail: gabriele.stupuriene@mif.vu.lt
Powered by PubliMill  •  Privacy policy