An Integration of Multicultural Perspective in Musical Theatre Education Using Pattern Mining

Inclusivity, diversity, and universal consciousness are some of the challenges that have made multicultural approaches to musical theatre education very significant. Nevertheless, the current methods do not tend to be systematic and evidence-based in terms of measuring and improving cultural representation in educational resources. This paper suggests a new model that would integrate the principles of multicultural education with pattern mining methods to study and enhance the learning context in the musical theatre. The suggested methodology will involve a heterogeneous data set of scripts, song lyrics, performance logs and student feedback to the addition of cultural factors: language, traditions and element of style. Preprocessing of data involves the process of converting raw data to an organized form that can be analyzed. Pattern mining techniques, such as frequent pattern mining, association rule mining, and clustering, are then used to detect latent relationships that exist between cultural factors and engagement of students. The findings disclose that there are considerable differences in the cultural representation and indicate that there are some cultural categories that are highly connected to the increased degree of participation and interaction among students. These patterns are further supported by visualization methods including bar charts, engagement graphs, heatmaps, that allow understanding in detail multicultural dynamics within the dataset. The effectiveness of cultural integration is measured with the help of quantitative measures, such as diversity score, engagement score, support, and confidence. The results suggest that pattern mining would be used to identify prevalent and underrepresented elements of culture in order to build more balanced and inclusive curricula. The framework suggested provides a solvable and information-based method of improving the teaching of musical theatre by bringing cultural diversity to student involvement. To sum up, this study has added a new interdisciplinary framework that connects multicultural pedagogy with artificial intelligence and can offer a lot of important information to the design of effective adaptive, and inclusive learning teaching in performing arts education.