Sunday 4 August 2019

Presenter Information

Elspeth McKay, RMIT University

Start Date

4-8-2019 4:15 PM

End Date

4-8-2019 5:15 PM

Subjects

Digital literacy, Generic skills, Skill analysis, Achievement level, Learning analytics, Models, Knowledge base for teaching, Knowledge level, Summative evaluation, Primary secondary education

Abstract

There is a broad awareness of how information communications technology (ICT) digital literacy impacts everyday life. In schools, use of ICT tools has become mandatory. These tools include computers, tablets and mobile phones. These smart devices are used to send emails, browse the internet and make video calls. It is essential for teachers to identify student digital literacy levels through classroom activities and when to implement flexible ePedagogies for students who need help. This presentation will provide easy-to-follow steps to manage learning analytics to determine digital literacy skill levels. Learning analytics can be used for a range of purposes: to compile assessment reports for individual learners to know how they rate compared with other learners; to highlight students who may need extra support; to assist teachers to plan supporting interventions for individuals and groups of learners; to support professional development teams when considering new courseware design and development; and to support institutional/corporate marketing and recruitment management strategies. However, some people may find it daunting to undertake learning analytics. This presentation will show why this perception is wrong by explaining a prescriptive learning analytics planning model. This session will give participants an understanding of the skills they need to carry out their own learning analytics through careful preparation of their testing instruments and an understanding of the importance of validating their measurement tools.

Place of Publication

Melbourne, Australia

Publisher

Australian Council for Educational Research (ACER)

ISBN

9781742865546

COinS
 
Aug 4th, 4:15 PM Aug 4th, 5:15 PM

Digital literacy skill development: Prescriptive learning analytics assessment model

There is a broad awareness of how information communications technology (ICT) digital literacy impacts everyday life. In schools, use of ICT tools has become mandatory. These tools include computers, tablets and mobile phones. These smart devices are used to send emails, browse the internet and make video calls. It is essential for teachers to identify student digital literacy levels through classroom activities and when to implement flexible ePedagogies for students who need help. This presentation will provide easy-to-follow steps to manage learning analytics to determine digital literacy skill levels. Learning analytics can be used for a range of purposes: to compile assessment reports for individual learners to know how they rate compared with other learners; to highlight students who may need extra support; to assist teachers to plan supporting interventions for individuals and groups of learners; to support professional development teams when considering new courseware design and development; and to support institutional/corporate marketing and recruitment management strategies. However, some people may find it daunting to undertake learning analytics. This presentation will show why this perception is wrong by explaining a prescriptive learning analytics planning model. This session will give participants an understanding of the skills they need to carry out their own learning analytics through careful preparation of their testing instruments and an understanding of the importance of validating their measurement tools.

 

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