Customized Learning Analytics: Six Prescriptive Steps

For various stakeholders across educational institutions, there is a broad awareness of data analytics. The way learning analytics is defined involves: providing assessment reports for individual learners to know how they rate compared with other learners; highlighting students who may need extra support; assisting teachers to plan supporting interventions for individuals and groups of learners; aids for professional development teams when considering new course design and development; and institutional/ corporate marketing and recruitment management strategies. However, for some people the practice of customized learning analytics may seem a daunting task. Using a prescriptive Learning Analytics Planning model, this paper will show why this perception is wrong. It is vital to understand the importance of validating the measurement tools; these steps describe the key processes that are necessary to carry out customized learning analytics through careful preparation of the testing instruments.