Abstract
Students taking a Databases Course have different pre-knowledge of Conceptual Database Modelling. At the beginning of the course, they were asked to self-evaluate their knowledge of database design concepts. We have compared the results of self-evaluation of students with Technical and General High School education, as well as the results they achieved at the final exam. All together 132 students have collaborated in both parts of the survey. The results show that the students with a technical background have a better pre-knowledge of database design constructs, but, on the other hand, received lower results in the exam where the knowledge on Database Modelling was tested.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Embley, D.W., Thalheim, B.: Handbook of Conceptual Modeling: Theory, Practice, and Research Challenges. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-15865-0
Mylopoulos, J.: Conceptual modelling and telos. In: Conceptual Modelling, Databases, and CASE: An Integrated View of Information System Development, pp. 49–68 (1992)
Batra, D., Davis, J.G.: Conceptual data modelling in database design: similarities and differences between expert and novice designers. Int. J. Man Mach. Stud. 37, 83–101 (1992)
Batra, D., Antony, S.R.: Novice errors in conceptual database design. Eur. J. Inf. Syst. 3, 57–69 (1994)
Engels, G., et al.: Conceptual modelling of database applications using an extended ER model. Data Knowl. Eng. 9, 157–204 (1992)
Sewell, A.: Constructivism and student misconceptions: why every teacher needs to know about them. Aust. Sci. Teach. J. 48, 24 (2002)
Kamišalić, A., Turkanović, M., Heričko, M., Welzer, T.: Knowledge perception influenced by notation used for conceptual database design. In: Heričko, M. (ed.) 21st International Multiconference Information Society - IS 2018, pp. 19–22. Institut “Jožef Stefan”, Ljubljana, Slovenia (2018)
Kamišalić, A., Heričko, M., Welzer, T., Turkanović, M.: Experimental study on the effectiveness of a teaching approach using barker or bachman notation for conceptual database design. Comput. Sci. Inf. Syst. 15, 421–448 (2018)
Kamišalić, A., Turkanović, M., Welzer, T., Heričko, M.: Influence of educational background on the effectiveness of learning database fundamentals. In: Heričko, M. (ed.) The 29th International Conference on Information Modelling and Knowledge Bases, EJC 2019, Lappeenranta, Finland (2019)
Ruxton, G.D.: The unequal variance t-test is an underused alternative to Student’s t-test and the Mann-Whitney U test. Behav. Ecol. 17, 688–690 (2006)
Acknowledgements
The authors acknowledge the financial support from the Slovenian Research Agency (Research Core funding No. P2-0057) and from the European Union’s Horizon 2020 Research and Innovation program under the Cybersecurity CONCORDIA project (GA No. 830927). We would also like to thank the participants of this research project.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Nemec Zlatolas, L., Kamišalić, A., Turkanović, M. (2019). Correlation Between Students’ Background and the Knowledge on Conceptual Database Modelling. In: Welzer, T., et al. New Trends in Databases and Information Systems. ADBIS 2019. Communications in Computer and Information Science, vol 1064. Springer, Cham. https://doi.org/10.1007/978-3-030-30278-8_6
Download citation
DOI: https://doi.org/10.1007/978-3-030-30278-8_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-30277-1
Online ISBN: 978-3-030-30278-8
eBook Packages: Computer ScienceComputer Science (R0)