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Thursday, 1 February 2024
2:00 pm - 3:30 pm - Zoom – further details provided upon registration
Part 2 of 2 for Using OnTask on personalise feedback and support for your course
Are you teaching in a large course? Do you find it challenging to support all your students with timely and personalised feedback? If you answered yes to any of these questions, you are invited to attend this workshop!
We especially invite staff looking to implement OnTask in the Autumn session so you will have the necessary course details to strategise OnTask feedback.
In this 2-part online workshop, you will learn about OnTask, an automated feedback software application that:
- Offers you a place to collate information about your students
- Enables you to create text conditions to personalise messages based on the information
- Sends the email to all your students.
Part Two of this workshop will be a hands-on session, taking you through setting up and creating conditions for sending personalised messages to your students.
OnTask is the outcome of an OLT-funded project and is backed by research. To date, impact studies show benefits for students concerning improvements in study habits and course performance. Students have expressed a greater feeling of belonging and support and valued the care shown by instructors in their personalised feedback, as well as the timely information about their progress and performance over the course.
This event is facilitated by the Connected Intelligence Centre (CIC).
Lisa-Angelique Lim is a postdoctoral research fellow with CIC, specialising in learning analytics feedback systems, particularly OnTask. Lisa recently completed her PhD at the University of South Australia, where she worked closely with university academics to design and evaluate OnTask feedback in their courses.
Register for this event
Your video, audio and the meeting chat transcript may be recorded or photographed. Please advise the facilitator if you do not wish to be recorded or photographed.
To register your attendance, please log in to LX.