Data mining is a new technology developed in recent years. Through data mining, people can discover the valuable and potential knowledge hidden behind the data and provide strong support for scientifically making various business decisions. This paper applies data mining technology to the college student information management system, mines student evaluation information data, uses data mining technology to design student evaluation information modules, and digs out the factors that affect student development and the various relationships between these factors. Predictive assessment of knowledge and personalized teaching decision-making provide the basis. First, the general situation of genetic algorithm and fuzzy genetic algorithm is introduced, and then, an improved genetic fuzzy clustering algorithm is proposed. Compared with traditional clustering algorithm and improved genetic fuzzy clustering algorithm, the effectiveness of the algorithm proposed in this paper is proved. Based on the analysis system development related tools and methods, in response to the needs of the student information management system, a simple student information management system is designed and implemented, which provides a platform and data source for the next application of clustering algorithm for performance analysis. Finally, clustering the students’ scores with a clustering algorithm based on fuzzy genetic algorithm, the experimental results show that this method can better analyze the students’ scores and help relevant teachers and departments make decisions.

Nowadays, emotions are among the most significant issues in the route of learning a language that should be taken into consideration. Consistent with the fundamental function of positive psychology (PP) and also the theory of broaden-and-build, enjoyment in language learning especially the foreign language is among those positive emotions that encourage EFL learners to develop their perspective to achieve. Efforts to apprehend and develop the academic achievement of EFL learners have also progressively concentrated on self-regulation as it boosts learners’ enjoyment, hope, pride, self-control, and learning. Besides, in line with the investigations of these positive emotions, principles of PP, the present review makes every effort for the interplay and its effects in language learning. It is pertinent to state that the present review of studies can benefit academic organizations, professional development centers, policymakers in the academic community to consider the role of emotions, namely positive ones and their positive impact on language learning.