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Attributes of a Data-Driven School
Introduction
Data driven schools rely on information to inform the teaching and learning process. Data driven instruction is an educational approach that takes place within the classroom where teachers use information collected to improve the quality of teaching. Although much of the work is conducted by the instructors, it is upon the school leadership to cultivate a culture of data driven learning. Each student has their abilities, needs and levels of understanding. Data-driven learning takes all these factors into account when designing curricula and during direct teaching. This text highlights the attributes that manifest in my current school setting, the steps to becoming a data driven institution and the importance of data driven decision making on a school budget.
Manifestation of a Data Driven School
There are various ways through which the attributes of data driven instruction manifests in my current school setting. Data driven instruction has eliminated mishaps in the learning process particularly in the wake of a pandemic. When the pandemic began almost two years ago, many schools closed down as in-person learning was not possible. Students had a hard time adjusting to the new norm. My institution took up an online and hybrid education model that ensured consistent and goal focused learning. The institution made a conscious decision to put the decision-making model to use to come up with the decision to move towards online learning. Without data, it is easy to base decisions on opinion, anecdotal evidence and assumptions (Hora, Jana, and Hyoung, 391). Another manifestation is that data driven schools are better positioned to see students every day and keep tabs on them. For instance, if for any reason a student is not able to attend a class or join a live conference, they can watch a pre-recorded session and complete their class work. Data collection and analysis makes it possible to keep track of student progress.
Steps to Become a Data Driven Institution
There are various steps schools can take to become a data driven institutions. Designing a system for creating data reports is one way of making an institution data driven. Data driven learning cannot take place without detailed data reports. Tests are taken on learning management systems such as blackboard. Although the process can be time consuming, it is a necessary measure. Another strategy is taking up professional development. This has to do with allowing teachers to own the professional development process. Following up on reteaching can also make an institution data driven. Teachers should consult each other during meetings with administers and collaborative teacher meetings. They should discuss the approaches they use and what difficulties their students get. To become data driven, institutions should focus on growth. They should keep in mind the long-term goals and take time to reflect on the lessons learned from milestones and projects. This way, they know when to revise data plans and whether or not they are in a position to take up more initiatives.
Importance of Data Driven Decision Making on a School Budget
Data driven decision making is important as it helps learning institutions save on costs. Investing in big data initiatives can never go wrong as it is associated with successes not only for on the learning outcomes but also for the institution itself. Schools can use the data collected to cut down on expenses and maximize their outputs. For instance, by looking at the student to teacher ratio, they can decide to fire teachers and put the resources into other costs such as administrative costs. This way, the school will continue serving its mandate while at the same time generating revenue. The more effective a school uses its data, the more agile it becomes. Such schools easily outdo their competition and generate more revenue.
Conclusion
In closing, data collection and analysis is an approach that schools should consider adopting as it has many benefits. Data driven learning uses data collection to improve the learning process. Without data, it is easy to base decisions on opinion, anecdotal evidence and assumptions. Data driven institutions provide students with the best learning experience since it is student focused and based on the individual needs of each student.
Works Cited
Hora, Matthew T., Jana Bouwma-Gearhart, and Hyoung Joon Park. “Data driven decision-making in the era of accountability: Fostering faculty data cultures for learning.” The Review of Higher Education 40.3 (2017): 391-426.
