In this article, we will discuss the role of quality in improving technology in the language learning sector and the economic sector. In fact, there are so many exciting alternatives for utilizing technology to solve linguistic problems  and projects that it may be daunting for language instructors today. Because one of language instructors' main responsibilities is to assist students understand how linguistic and cultural norms work, it's critical that they examine how language is utilized in both old and new ways across various mediums and technology[1].Thus, given the rapid evolution of technology and the social interaction and learning opportunities it provides, teachers are becoming more and more required to understand how to handle it effectively and enjoy experimenting with new technology, with a wide range of resources, tools, and Web sites best suited to a given lesson or activity[2]. So, good quality is achieved when the language learning process meets the needs and expectations of the teachers. One of the most important responsibilities of any educational institution is to provide high-quality education, which may be improved by enhancing decision-making procedures in various processes. Data mining from an educational institution is one technique to improve the quality of procedures. This can provide new knowledge in the decision-making process and in identifying more enhanced policies for educational practices[10]. In addition, we can show the role of quality in all aspects of life. For example, in the economic sector, there is an empirical study that tested several theories about the relationship between software quality (measured in defect density) and cost drivers (cost factors). The study looks at three cost drivers: labor, project size (measured in functional points), and the average number of tasks allocated to one team member. The study used the ISBSG data repository[3]. The results show that project size and labor have a significant negative impact on defect density. These results suggest that these quality factors should be considered when allocating project resources to reduce defects and, as a result, product maintenance costs[5][8]. On the other hand, an empirical study was conducted to investigate the relationship between software project size and defects. The results show a weak correlation between size and defects. However, for development projects, the correlation is stronger. Moreover, in mature projects, the correlation becomes very weak [4][9]. The most important methods or techniques for solving optimization problems that contribute to production planning and optimum decision-making, such as maximizing profits, reducing costs, or increasing production capacity, are dynamic programming and a compromise set[6][7] .