Game-based application for normalization learning


  • Nik Nuru Izzasalwani Nik Pa Universiti Teknologi MARA, Perlis Branch, Arau Campus
  • Norfiza Ibrahim Universiti Teknologi MARA, Perlis Branch, Arau Campus
  • Azmi Abu Seman Universiti Teknologi MARA, Perlis Branch, Arau Campus


Game-based, game application, gamification, multimedia, normalization


Normalization is a relational database design for the organizing data process to minimize
redundancy. The main aim for this study is to develop a game application for normalization
learning. Besides, the study also focusing on identifying the preferred learning technique for
normalization, the suitable multimedia and game-based elements for the development of a
game application for normalization learning, and measuring the applicability of the
application. Design science research methodology was implemented throughout the study
which consists of five phases. Unity 3D software is used to develop a game-based application
for normalization learning. The application has applied the Multimedia Principles, Game
Based Principles and Marczewski's Gamification Framework in the development. Game-based
environment provides an alternative on how to learn database normalization interactively.
There are two types of testing used in measuring the application; heuristic evaluation and user
acceptance at public university and were analyzed based on statistical analysis. The analysis
from heuristic evaluation indicates that the game-based application is usable and practicable
for normalization learning while analysis by user acceptance shows that the respondents are
strongly agrees on the technical aspects in the application and they are ready to use this
application. Therefore, the research has achieved its objective. Besides, the application will
enhance the student’s ability to easily recognize the various normal forms and will be skillful
in the hands-on process of database normalization.


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How to Cite

Nik Pa, N. N. I., Ibrahim, N., & Abu Seman, A. (2017). Game-based application for normalization learning. Journal of Computing Research and Innovation, 2(3), 39–45. Retrieved from //



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