The evaluation of a high school STEM program involves both quantitative and qualitative methods to assess its effectiveness. This includes pre- and post-assessment scores, surveys from students, teachers, and parents, and classroom observations. Strengths include comprehensive insights and data-driven recommendations, while challenges include potential biases in self-reported data and the resource-intensive nature of the process. The evaluation aims to identify improvements in academic performance, gather stakeholder feedback on program satisfaction, and pinpoint successful teaching methods. Recommendations will be made based on findings to enhance the program's curriculum and teaching strategies. It's crucial to address biases in data collection and interpret qualitative aspects accurately for a thorough evaluation.