论文标题

查询游戏2.0:改进Cavite州立大学主要校园的基于网络的查询游戏

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

论文作者

Sy, Mark Philip M., Historillo, Christian James M., Conde, Allen Cris T., Costelo, Ma. Yvonne Czarina R.

论文摘要

目的:该研究旨在改善先前的研究,涵盖Cavite州立大学的基于网络的查询游戏。该研究为学生创造了一个新的机械师和游戏玩法,以学习结构化查询语言(SQL)。增强功能还集中在玩游戏的一个或多个学生的互动上。 方法:研究人员在研究的发展中使用了迭代发展过程方法。使用不同的测试方法对系统进行评估和评估:单元,集成和系统测试。通过测试后,90名信息技术和计算机科学计划的学生以及10位IT专家评估了该系统。 结果:受访者被归类为技术和非技术受访者,研究分别获得4.69和4.70的评估评分。评估结果的总体解释非常好。 结论:该研究创建了一个系统,用户可以阅读和观看讲座并体验教程。讲师和学生可以在系统中进行沟通,从而促进学生之间更好的关系和健康的竞争。 建议:根据研究的结论,该系统可以用作数据库管理教学课程的补充工具。为了增强对学生的查询构建的分析,建议添加一个模块,该模块可以分析创建查询的模式并为每个用户回答问题。

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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