Query Game 2.0: Improvement of a Web-Based Query Game for Cavite State University Main Campus

• URL: http://arxiv.org/abs/2012.02237v1
• Date: Sat, 21 Nov 2020 06:43:05 GMT
• Title: Query Game 2.0: Improvement of a Web-Based Query Game for Cavite State University Main Campus
• Authors: Mark Philip M. Sy, Christian James M. Historillo, Allen Cris T. Conde, and Ma. Yvonne Czarina R. Costelo
• Abstract summary: The study created a new mechanic and gameplay for the students to learn Structured Query Language. The enhancements also focused on the interactions of one or more students playing the game.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Purpose: The study aimed to improve the previous study covering a web-based query game for Cavite State University. The study created a new mechanic and gameplay for the students to learn Structured Query Language (SQL). The enhancements also focused on the interactions of one or more students playing the game. Method: The researchers used iterative development process methodology in the development of the study. The system was assessed and evaluated using different testing methods: unit, integration, and system testing. After passing the tests, 90 students of Information Technology and Computer Science program along with 10 IT experts evaluated the system. Results: The respondents were classified into technical and non-technical respondents and the study garnered an evaluation score of 4.69 and 4.70 respectively. The overall interpretation of the results of the evaluation is Excellent. Conclusion: The study created a system where the user can read and watch lectures and experience the tutorial. Instructors and students may communicate in the system, hence, promoting better relations and healthy competition between students. Recommendations: Based on the conclusions of the study, the system can be used as a supplementary tool in teaching courses with Database Management. To enhance the analysis of query construction of the students, it is recommended to add a module that can analyze the pattern of creating queries and answering questions for every user.

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