Data rich, information poor: creative and innovative approaches to results analysis to support teaching and learning

Data rich, information poor: creative and innovative approaches to results analysis to support teaching and learning

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  • Create Date August 2, 2018
  • Last Updated August 2, 2018

Data rich, information poor: creative and innovative approaches to results analysis to support teaching and learning

Through the introduction of e-assessment technologies, there is now more education assessment data available than ever before. In particular, the item-level data provided by onscreen marking and e-testing provides a much richer and granular dataset for reporting and analysis, both internally within an awarding body, and externally with students and teachers. There is also an increasing demand from those working across the education sector for more information and feedback analysis from summative assessment.Drawing on the experience of working with awarding bodies and government agencies, and the increasing use of item-level assessment data across the UK education system, this paper describes how item-level data is now being used to provide teachers and students with real information and knowledge through online reporting and analysis tools. Evidence is presented to show how this data can be used creatively to support teachers and students in making important education decisions which have a real impact on teaching and learning. A critical success factor in the reporting of item-level data is the onscreen presentation of data and the quality of the analyses provided. Using real life examples, some principles for the innovative presentation, analysis and contextualisation of item-level assessment data will be outlined and evaluated.Assessment bodies face a common set of challenges in implementing systems for the widespread distribution and analysis of item-level data. These challenges and barriers will be explored and 1 ,models provided to support organisations wanting to provide a richer analysis of assessment data to help improve teaching and learning.

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