Customized Learning Analytics: Six Prescriptive Steps

McKay, E and Barefah, A 2017, 'Customized Learning Analytics: Six Prescriptive Steps', in The 21st World Multi-Conference on Systemics, Cybernetics and Informatics, Orlando, United States, 8-11 July 2017, pp. 142-145.


Document type: Conference Paper
Collection: Conference Papers

Title Customized Learning Analytics: Six Prescriptive Steps
Author(s) McKay, E
Barefah, A
Year 2017
Conference name The 21st World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2017
Conference location Orlando, United States
Conference dates 8-11 July 2017
Proceedings title The 21st World Multi-Conference on Systemics, Cybernetics and Informatics
Publisher World Multi-Conference on Systemics, Cybernetics and Informatics
Place of publication Orlando, United States
Start page 142
End page 145
Total pages 4
Abstract 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.
Subjects Computer-Human Interaction
Conceptual Modelling
Teacher Education and Professional Development of Educators
Keyword(s) Customized learning analytics
Prescriptive learning analytics model
Instructional design
Rasch modelling
Item response theory (IRT)
Human-computer interaction (HCI)
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