A Cloud Computing-based Research on the Relationship between Educational Internship and Pre-Service English Teachers' Professional Development

Abstract

Educational internships are a crucial component of teacher education programs, as they evaluated the experience practical opportunities for preschool teachers with the development of skills, experience of practical scenarios, and experience feedback. Through educational internships, pre-service teachers can also develop their professional identities and gain a deeper understanding of the complex challenges and rewards of teaching. This paper explores the relationship between educational internships and heuristic optimization cloud environments for the professional development of English pre-service teachers. The research presents a novel approach called Cloud Spider Wolf Optimization (CSWO) that utilizes cloud computing technology to enhance the effectiveness of educational internships. The study evaluates the impact of CSWO on pre-service teachers' professional development by examining their learning outcomes and perceptions of the internship program. The data for the analysis is collected through primary data among the pre-service English teachers. The data for analysis is collected from 200 pre-service teachers in academic schools in China. The results indicate that CSWO significantly improves pre-service teachers' professional development by providing them with opportunities to engage in authentic, real-world tasks that enhance their knowledge and skills in English language teaching. The study also suggests that the use of cloud computing technology can provide a valuable tool for enhancing the effectiveness of educational internships. The findings have important implications for teacher preparation programs and suggest that the integration of cloud computing technology and heuristic optimization techniques can be used to improve the quality of teacher education.