Data Analysis for improving learners’ results

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Data Analysis is one of the most important processes in a school or educational institution. It ensures the quality of the teaching, learning and assessment process. Data Analysis should be carried out continuously in conjunction with all of the curriculum processes.
There are many methods of Data Analysis, some more effective than others. Most schools and institutions use the most common methods of data analysis by finding the mean, median and mode, however, very little further analysis is done on their findings.
These methods do not always provide enough information for a full analysis of the teaching, learning and assessment process. This manual focuses on the effective approach of normal distribution and provides a detailed explanation of how to go about analysing the findings.
This course takes you through a step-by-step process of collecting, processing and analysing data in an effective and informative way. It also provides Case Studies outlining reasons and conclusions that can be derived from common trends in any curriculum in a school.  It provides a framework as well as many ideas and practical guidelines on how to carry out this task effectively.  

This course takes teachers and managers through a step-by-step process of collecting, processing and analysing data in an effective and informative way. It also provides case studies outlining reasons and conclusions and can be derived from common trends. 

Course Outline

  • What is data analysis? 
  • The technical side of data analysis
  • Where does data analysis fit in? 
  • Which method to use
  • What to take into consideration
  • Using the Bell Curve to analyse data
  • Case studies