• Thursday, 27 August 2020
    2:00 pm - 3:00 pm
  • Zoom – further details provided upon registration

The LX.lab is excited to be hosting the second community of interest event focused on Mixed Mode delivery of teaching in Spring session. 

Building on the first event, we will continue to explore what it means to successfully run a ‘mixed mode’ subject. Simplistically, this is where you are simultaneously teaching students in a classroom on campus and remote students online (typically on Zoom). If you haven’t already, read this introduction to the topic.

What to expect?

Physical distancing and other constraints on campus require us to adapt teaching approaches. During this event we will hear from teaching staff who have been running their subject in mixed-mode during Spring session:

  • Bert Bongers, Associate Professor in Interactivation from Faculty of Transdisciplinary and Innovation
  • Annette Dowd, Senior Lecturer, School of Mathematical and Physical Sciences from Faculty of Science
  • Shiko Maruyama, Associate Professor, Economics Discipline Group from UTS Business School
  • Audio Visual Services Team from Information Technology Division

We will share all our ideas and experience. We hope to form some standards for the design of mixed mode classes and establish a community of practice to support mixed mode delivery as the Spring session progresses. 

Did you know?

There are many ‘Zoom enabled’ rooms across UTS already that can help you run a mixed mode class. The AVS Support Team have made a training video to help academics use Zoom at classroom lecterns. Rooms with Zoom-enabled capability can be found by searching for the room you are teaching in. If the equipment listing includes the item ‘Zoom Collaboration’ – you are in business.

Zoom link

Zoom link will be available in the confirmation email upon registration

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

GenAI and learning and teaching | 3 December

  • Tuesday, 03 December, 2024
    10:45 am-11:30 am
  • UTS