howtoapproachdata-drivendecisionsineducation

由 CC Schifter 著作 · 被引用 87 次 — Data-driven decision making (D3M) is the systematic collection, analysis, and application of many forms of data from myriad sources in order to enhance student ...

2023年11月9日 — Data-driven decision-making can be a critical tool to address resource disparities, enhance student success, and promote equitable outcomes.

In conclusion, data-driven instruction is a powerful approach that empowers educators to make informed decisions, personalize instruction, and support student ...

2023年11月3日 — This data-centric approach empowers educational institutions to make strategic decisions that positively impact student learning outcomes ...

2019年12月11日 — Data-driven decision making in education can transform classrooms—dramatically improving teacher responsiveness to students, saving teachers ...

2023年11月7日 — As the name suggests, data-driven decision-making in education involves using a series of data collection and analytics tools to inform actions ...

2023年6月23日 — In short, data-driven instruction is a method of making instructional decisions based on analyzing data. In many ways, teachers already ...

2016年6月6日 — 1. Assemble high-quality raw data. The sheer amount of potentially available education data is vast. Data can include formative or summative ...

2020年11月3日 — Discover the steps to make data-driven decision making an effective process for driving student learning.

2024年1月25日 — System thinking approach that considers the interconnectedness of factors such as student enrolment, faculty development, ...