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Data-Driven Decision Making in Education: Best Tips for Teachers and Administration

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Ravi Devulapalli
Data-Driven Decision Making in Education: Best Tips for Teachers and Administration

Data storytelling, which stands for the process of interpreting the results of the data analysis, is one of the most powerful techniques used for data-driven decision-making. According to Gartner, by 2025, data stories will become the sources of the most valuable insights for any industry. The field of education, which is on the way to becoming data-driven, isn’t an exception. 


Making data-supported decisions is the best way to achieve the ultimate efficiency of learning and teaching, improving the learners’ experience, increasing the satisfaction of both students and teachers, and even cutting the operational costs of an educational institution.


What Is Data-Driven Teaching?

Data-driven teaching refers to the process of using data collected from multiple sources to improve the process of knowledge delivery, students’ performance, and the approaches to education as such, innovating the way of knowledge transfer and making it more tailored to the needs of modern learners. 

Data-driven decision-making in education, in turn, means using the insights extracted from the data to develop better teaching and learning tactics and approaches. 

But to have the best picture, the educational institutions have to use data arrays gathered from multiple sources to take a look at the same problem from different angles. 

The types of data to use in data-driven decision-making are listed below. 


Types of Data to Use for Decision-Making in Education

  • Academic achievement data. This data gathers the statistics on students’ performance for a certain period of time, depending on the discipline.
  • Non-academic data. This data refers to the information about students’ attendance and their socio-economic status. 
  • Program and system data. This data array unites all the kinds of standards and regulations on data transfer quality and the best practices to do so. 
  • Perception data. This is the data gathered from the learners directly, and this feature makes it pretty valuable. By analyzing the surveys and opinion polls, the teachers and administrators can unlock the feedback and better tailor their teaching strategies to the students’ expectations. 

Let’s find out how Data-driven decision-making in education changes the way we teach and learn. 

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Ravi Devulapalli
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