Which potential barrier to data-driven decision making is often encountered in schools?

Inadequate technology use is a significant barrier to data-driven decision making in schools. When educational institutions lack the necessary technological infrastructure or tools to effectively collect, analyze, and interpret data, they face challenges in leveraging the insights that data can provide. Inadequate technology can manifest in various ways, such as outdated software, insufficient data processing capabilities, or a lack of training for staff on how to utilize existing technology effectively.

When technology is not used adequately, it limits the potential to gather meaningful insights from the data. Decisions made without proper technology guidance can lead to misconceptions or misinterpretations of the data, ultimately hindering school improvement efforts. On the other hand, sufficient and efficient technology usage can enhance the ability to drive decisions based on accurate data, facilitating better educational outcomes.

It's also worth noting that while excessive data collection, staff qualifications, and stakeholder trust can present certain challenges, they do not fundamentally inhibit the ability to analyze and leverage data as inadequately utilized technology does. Without the right tools and knowledge for data application, the overall impact of data-driven initiatives can be dramatically lessened.