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Thesis topic proposal
 
Developing Algorithmic Thinking in Higher Education

THESIS TOPIC PROPOSAL

Institute: University of Debrecen
computer sciences
Doctoral School of Informatics

Thesis supervisor: Mária Csernoch
Location of studies (in Hungarian): University of Debrecen
Abbreviation of location of studies: ITDI


Description of the research topic:

In higher education computer science and mathematics edu-cation, and certain engineering courses, require formal pro-gramming education and efficiency analysis of algorithms based on mathematical methods. The use of programming theorems is a compositional technique used in many CS courses. The use of playful elements to supplement the clas-sical formal teaching method, which is more accessible to the present generation, while at the same time transferring formal knowledge. Evaluation of the effectiveness of the proposed methods. Development and improvement of algorithmic thinking. Changes in the self-assessment of students entering higher education after the start of their studies.

Bibliography
Ionescu, C. (2007). Bevezetés az algoritmikába (egyetemi jegyzet). Cluj University Press. Seaborn, K., & Fels, D. I. (2015). Gamification in theory and action: A survey. International Journal of Human Computer Studies, 74, 14–31. https://doi.org/10.1016/j.ijhcs.2014.09.006 Denning, P. J. (2009). The profession of IT: Beyond computational thinking. Communications of the ACM, 52(6), 28–30. https://doi.org/10.1145/1516046.1516054 Csernoch, M. (2017). Thinking Fast and Slow in Computer Problem Solving. Journal of Software Engineering and Applications, 10(01), 11–40. https://doi.org/10.4236/jsea.2017.101002 Kruger, J., & Dunning, D. (1999). Unskilled and unaware of it: How difficulties in recognizing one’s own incompetence lead to inflated self-assessments. Journal of Personality and Social Psychology, 77(6), 1121–1134. https://doi.org/10.1037/0022-3514.77.6.1121 Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33–35. https://doi.org/10.1145/1118178.1118215 Fóthi, Á. (2012). Bevezetés a programozáshoz (3rd ed.). Lockwood, E., Asay, A., DeJarnette, A. F., & Thomas, M. (2016). Algo-rithmic thinking: An initial characterization of computational thinking in mathematics. 38th Annual Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education, 1588–1595. Sadykova, O. V., & Il’bahtin, G. G. (2020). The Definition of Algorith-mic Thinking. 113(Fred 2019), 419–422. https://doi.org/10.2991/fred-19.2020.85 Toda, A. M., Valle, P. H. D., & Isotani, S. (2018). The dark side of gamification: An overview of negative effects of gamification in educa-tion. In Communications in Computer and Information Science (Vol. 832, Issue Icmc). Springer International Publishing. https://doi.org/10.1007/978-3-319-97934-2_9


Deadline for application: 2024-11-15

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )