An example of an educational evaluation is the assessment of a school-based peer tutoring program designed to improve students’ reading comprehension. One strength of this evaluation is its use of mixed methods: quantitative data from pre- and post-tests to measure learning gains, and qualitative data from student reflections and teacher interviews to understand the learning experience. This combination provides a fuller picture of both outcomes and processes. Another strength is the program’s ongoing monitoring, which allows teachers to adjust tutoring strategies based on real-time feedback.

However, the evaluation also has weaknesses. Because peer tutors vary in skill and confidence, the quality of instruction is inconsistent, which may affect results. The evaluation may also be limited by small sample sizes or lack of a control group, making it difficult to determine whether improvements are due to the program or external factors. Additionally, qualitative data can be subjective, and without clear rubrics, interpretations may differ among evaluators. Strengthening the design with clearer standards and larger, more diverse samples would improve reliability.