To analyse data analysis.
1. Wainryb, R. (1992) Classroom Observation Tasks 2. James, P. (2001). Teachers in Action.
Charts, laptop with speakers, audio recordings, handouts, video clips, white board
What is Data Analysis?
Data analysis is defined as a process of cleaning, transforming, and modeling data to discover useful information for business decision-making. The purpose of Data Analysis is to extract useful information from data and taking the decision based upon the data analysis.
A simple example of Data analysis is whenever we take any decision in our day-to-day life is by thinking about what happened last time or what will happen by choosing that particular decision. This is nothing but analyzing our past or future and making decisions based on it. For that, we gather memories of our past or dreams of our future. So that is nothing but data analysis. Now same thing analyst does for business purposes, is called Data Analysis.
Data analysis is a process that relies on methods and techniques to taking raw data, mining for insights that are relevant to the business’s primary goals, and drilling down into this information to transform metrics, facts, and figures into initiatives for improvement.
There are various methods for data analysis, largely based on two core areas: quantitative data analysis methods and data analysis methods in qualitative research. T hink of educational data as a machine that receives and uses inputs to help run the educational process, producing outputs that include things like progress, success, and achievement. Data use depends on critical inputs from the parent, teacher, student, district, and state.
Specific data inputs can include everything from teacher quality to student demographics, while specific data outputs include things like attendance, grades, assessment scores, and graduation rates.
“Data in education has huge potential to improve learning materials.” – Jose Ferreira
When data is interpreted effectively, it can be used to understand individual student needs and employ strategies to differentiate instruction. Data analysis helps teachers understand their students’ learning abilities and challenges, and facilitates an ingrained cultural process that uses detailed inputs (information) to ensure optimal outputs (results for students).
Here are a few of the many types of data that may be collected to provide a teacher with information on any individual student:
