4.6: Data-Driven Decision-Maker
Coaches model and support the use of qualitative and quantitative data to inform their own instruction and professional learning.
Artifacts
Artifacts
As a technology coach, being a data-driven decision-maker means using various forms of data to guide your coaching practices, support instructional decisions, and improve student outcomes. This includes analyzing student performance data, teacher feedback, tech usage reports, and classroom observations to identify needs, track progress, and measure the impact of technology integration. You help teachers interpret data to inform instruction, personalize learning, and strategically choose tools and resources. By using data to reflect, adjust, and advocate for meaningful change, you ensure that technology supports teaching goals and student success in intentional, measurable ways.
Data-Driven Decision-Maker 4.6.b Help Educators Interpret Data Support educators to interpret qualitative and quantitative data to inform their
Professional Development Survey is designed to assess the effectiveness of a professional development session focused on technology integration in education. It collects participants’ perceptions of the session’s impact on their knowledge, instructional practices, and preparedness to use digital tools effectively. The survey also evaluates the session’s relevance to current educational challenges, its alignment with ethical and responsible technology use, and its responsiveness to diverse cultural, social-emotional, and learning needs.