¶ … Driven Instruction
Definition and Meaning
Data-driven instruction is a type of instruction where the teacher uses student performance as the benchmark for planning their instruction. Student performance in this case is defined in terms of their result or scores in various assessments. The teacher uses these results to identify those areas that students were able to grasp effectively and those in which they are still encountering difficulty; and then structures their subsequent instruction in such a way that it focuses more on the latter (Thompson, 2008). Data-driven instruction, therefore, basically has three fundamental elements -- baseline data (where the students are currently), clear goals (where they ought to be in a pre-determined period), and regular assessments (a mode of benchmarking their performance in relation to the set goals over time) (Thompson, 2008). Research has shown data-based instruction to be an effective way of improving student performance (Thompson 2008).
What I personally learnt from the Use of data-supported instruction
I used data-supported instruction multiple times during my practicum and, well, I learnt a variety of things from my use of the same. The most important of these perhaps is how to be effective in the use of data-driven techniques. The process of data-driven instruction is a three-stage process that involves targeting, focusing stage, and finally, planning. In the targeting stage, the teacher administers an assessment on a particular content with the aim of identifying i) the strengths -- areas in which the class performed generally well; ii) the challenges -- areas where the overall performance of the class in relation to the tested content is fair; and iii) critical needs -- areas in which the class put up a poor performance, say a majority of the students failed the tested content (Thompson, 2008). Once this data has been obtained, there is need then to inject meaning into it. This takes place in the focus/analysis stage, where the teacher subjects...
Running Head: DATA BASED INSTRUCTION 4DATA BASED INSTRUCTIONData-Based InstructionBelow-Level Reading FluencySam Magee is a student with a learning disability who qualifies for IDEA services. He has organizational issues, tends to be impulsive, and is two years behind in reading and math. He needs a structured environment and organizational assistance for success.Tier 1The activitiesWhether you are teaching older or younger children with a learning disability, these easy and fun activities will
Exploring Data LiteracyIn my view, it is widely agreed upon in educational research that student data is a crucial part of good teaching. Properly utilized, data can identify areas of strength and weakness in students, and it can provide evidence of progress. It can also be a way to obtain and guide instruction so that teachers can be more responsive to student needs. Data can be a powerful tool in
Examining Data-Driven PracticeBased on the learning resources and my experiences in the course thus far, I have gained significant insights about the impact of data on my own practices. Data, when used effectively, can be a powerful tool for driving instructional decisions and improving student outcomes. The videos and the article have emphasized the importance of using data to inform instruction, track student progress, and identify areas of improvement. For
Professional Learning Community"? Professional learning communities: Article review DuFour, R. What is a 'professional learning community?' Educational Leadership, 2004. A popular idea in the field of education today is the need to develop a 'professional learning community' of educators to facilitate the goals of the institution. One of the 'big ideas' of a professional learning community is the responsibility for educators to come together and to determine how students really learn and
Data mining, a process that involves the extraction of predictive information which is hidden from very large databases (Vijayarani & Nithya,2011;Nirkhi,2010) is a very powerful and yet new technology having a great potential in helping companies to focus on the most important data in their data warehouses. The use of data mining techniques allows for the prediction of trends as well as behaviors thereby allowing various businesses to make proactive
The traditional prototype was the employee driving to their place of employ and repeating the same tasks daily for thirty years. Today's workplace is dynamic and ever-changing and therefore requires the same of employees. Professional development, once an unknown and unconsidered concept, is now an integral part of any organization. Yi has written an insightful piece. With each passing day the demands of the workplace increase. New types of jobs
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