Data Driven Instruction Essay

The term data-driven instruction (DDI), also called data supported instruction, is a systematic approach that is used to improve student learning based on available data (Lewis, Madison-Harris, Muoneke, & Times, 2010). It is a cyclic and precise process that continually improves learner’s success. The cycle has three repetitive stages, namely, assessment, analysis, and action. The latter stages provide a school-wide support framework for improving students learning throughout the year by identifying gaps in their learning (Hamilton, Halverson, Jackson, Mandinach, Supovitz, Wayman, & Steele, 2009). Data or evidence is the most crucial component of this instruction approach. Actions taken are informed by data collected and analyzed in the assessment and analysis stages. In short, data supported instruction means that teachers use available data to improve the learning experience and performance. Education is fully dependent on data as illustrated by Lewis et al. (2010). For a teaching career or student teaching, use of data supported instruction is critical as it impacts positively on the learning process. For instance, data analysis enables a teacher to identify what students know, what they ought to know and strategies for what can be done to meet their academic needs (Hamilton et al., 2009). From …show more content…
On the other hand, evidence-based instruction methods are based on evidence and research. Objective evidence informs evidence-based instruction approach. In simple terms, instructors compile and analyze research data to develop objective evidence. The objective evidence informs the design or modification of instructional practices and techniques. Apparently, data supported instruction and evidence-based instruction are of equal importance regarding their application in instructions. This is because both approaches rely on data and