Australasian Society for Computers in Learning in Tertiary Education
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Learning Analytics SIG webinar: Introduction to breaking down the complexity of learner interactions using learning analytics

26 May @ 3:00 pm - 4:00 pm AEST

1pm Singapore/Hong Kong | 5pm New Zealand | Other time zones

The ASCILITE Learning Analytics (LA) SIG leaders are pleased to announce the first webinar in their new series exploring how learning analytics can be used to help understand, support and design learning interactions. These interactions occur in many different ways in learning environments, and are often quite complex to measure and understand. Throughout the year the LA SIG will be focusing on Moore’s (1989) three types of interaction (student-to-teacher, student-to-student, and student-to-content), and how these can be considered using learning analytics.

In this webinar the LA SIG leaders will provide an introduction to these interaction types and, with interaction from the audience (of course!), start the exploration of how learning analytics can be used to measure and evaluate interactions in learning environments. Building upon the resources and ideas already shared through online conversations and interactions within the LA SIG community, participants will be given an opportunity to brainstorm uses of data for understanding how learners interact with their teachers, peers, and the content.

The outcomes of this workshop will provide a foundation for a continued conversation around each interaction type in subsequent online webinars/workshops in the series which will involve teachers, designers, learners, and vendors.

Presenters: Hazel Jones (Griffith), Srecko Joksimovic (UniSA), Linda Corrin (Deakin)

You can join the webinar via this link.

To join the ASCILITE LA-SIG Teams site to participate in the ongoing conversation, please send an email to Hazel Jones.

Details

Date:
26 May
Time:
3:00 pm - 4:00 pm AEST
Website:
https://deakin.zoom.us/j/88563224351?pwd=JsTE_WiT-U_nlMROCxZdR0Sjz-_WM5.1#success

Venue

Zoom

Organiser

Learning Analytics SIG
Institutional Members