Have you ever stopped to think about how statistical support can help schools and students? Well, the educational environment is no longer the same, and a small revolution has been provoked by the use of statistics in education.
The analysis of data has contributed to the optimization of school results, and this is a movement that is growing more and more. This is because statistics applied to education is a tool capable of helping administrators and teachers when facing challenges inside and outside the classroom.
But do you know how this is possible? Considering this, we have listed below 4 of the key benefits of data analysis in education.
1. Efficient management
In most cases, data produced in school environments is not stored on a single platform. This dispersion of information, of course, hampers the work of administrators. In this sense, one of the greatest advantages of the application of statistics to education is the optimization of school management.
The organization of students’ data and grades, for example, allows for administrators to better evaluate any school-wide issues that emerge. From there, it is much easier to find solutions, set goals and achieve the proposed objectives.
As a matter of fact, today, the use of apps for school performance greatly helps teachers and students in this task, but it is important for school administration to have a strong commitment to the implementation of these technologies, and for us to develop more complex and standardized software.
2. Differentiated assessment
Statistical support for educational management can also help to better evaluate the data produced by students. Triangulating data from both internal and external assessments is one of the most effective ways for educators and administrators to identify areas for improvement and areas of strength.
Data analysis can also help point to the effectiveness of the assessments themselves, allowing teachers to identify which items may be flawed in their presentation, or may not align with the instruction or school standards. Educators can then improve and refine their assessments according to the student data presented.
3. Personalized teaching
Applying statistics in education also enables educators to construct a superior learning experience within the classroom. With a large number of students in the classrooms, it is more difficult to know each one individually. This makes the qualitative assessment of students a great challenge, almost impossible, as shown by the research of one of the greatest gurus in this area: Carol Ann Tomlinson. However, by triangulating and analyzing collected data it is possible to direct teaching for each student profile.
Educators can utilize data analysis from assessments, such as formative assessments, to inform their teaching strategies to better target each individual student. This data can help point educators to possible benchmarks that need to be reviewed before being assessed, or others in which the students are already demonstrating mastery. Student data from assessments can also help educators differentiate their teaching strategies, targeting different learning styles or level of readiness, so that each student is able to learn at the pace and in the manner that best fits him/her.
With this, data analysis allows for the adaptation of content and materials according to the students’ experience. Thus, we see the birth of adaptive learning, which relies heavily on the use of statistics in education.
4. Reduction of School Dropout Rate
Student dropout rate is one of the biggest problems faced by educational institutions today – especially at the higher level. Every year large numbers of students drop out of school, and this happens for a number of reasons. Researchers say that every year, over 1.2 million students drop out of high school in the United States alone.
However, this problem can be better understood by applying relevant statistical analyses. Cross-referencing data for a given student can help identify if he or she is a potential dropout. From there, it is possible to create customized campaigns in order to improve students’ perception of their courses and education in general.
Statistics is today one of the greatest tools for educators and administrators in the development of educational practices.
However, data-based information research is still a growing practice in educational institutions, and this has increased the demand for professionals such as the statistical consultant.
Thus, everything seems to suggest that applying statistics in education will transform the way we view teaching, as we continue to discover more effective and inspiring strategies to reach all students.
Do you have any experience with applied statistics in education? Leave a comment on the post and share your experience with us!
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