Digital Methods for research led T&L practices in the COVID new normal: a workshop exploring findings from a MDAP Collaboration between MGSE, SCIP, FFAM, and CSHE during ‘lockdown’
On Monday, 14th December the #DataCreativities Team will be presenting a workshop on Digital Methods that we have worked with and learnt through in our collaboration.
Workshop overview
In 2020, COVID-19 forced most of our teaching and research online. Our work practices have had to shift, and we have needed to embrace digital tools. Zoom is a must have platform for communication. Teams, Slack, and email keep us connected with our schools, students and collaborators. Canvas is the lecture hall of 2020. But how can it be leveraged to understand and enhance how we work?
The “DIGITAL METHODS FOR RESEARCH LED T&L PRACTICES IN THE COVID NEW NORMAL” workshop will explore this question by discussing what data we unwittingly create through the use of these platforms, how that data can be analysed, and the kinds of research that can be produced as a result. We will then explore how the findings from this research can be used to enhance our teaching practices. The workshop will be facilitated by the #DataCreativities collaboration, a research team formed in June 2020 to explore the fast-paced shift to making, living and learning in the creative industries during times of isolation. The team come from a variety of disciplines, with a range of online teaching experiences, and a spectrum of data science skills. We use this diversity to create a workshop that provides you with a practical, user friendly set of tools which you can apply to your own research led teaching practices.
The “DIGITAL METHODS FOR RESEARCH LED T&L PRACTICES IN THE COVID NEW NORMAL” workshop will explore this question by discussing what data we unwittingly create through the use of these platforms, how that data can be analysed, and the kinds of research that can be produced as a result. We will then explore how the findings from this research can be used to enhance our teaching practices. The workshop will be facilitated by the #DataCreativities collaboration, a research team formed in June 2020 to explore the fast-paced shift to making, living and learning in the creative industries during times of isolation. The team come from a variety of disciplines, with a range of online teaching experiences, and a spectrum of data science skills. We use this diversity to create a workshop that provides you with a practical, user friendly set of tools which you can apply to your own research led teaching practices.
Workshop details
- Audience: This workshop is open to University of Melbourne tutors, lecturers, or professional staff involved in teaching and learning only (including RHD candidates if also tutors). Although the examples are taken from the Creative Industries, the findings, resources, and techniques discussed in this workshop are relevant to all disciplines.
- Date: 1pm - 4.30pm, 14 December, Zoom
- Format: Knowledge sharing, workshops, and interactive activities.
- How to register: Register at this link. Please use your staff University of Melbourne email address when registering.
Draft Program
Below is a high level overview of the workshop. A more detailed program will be released in late November.
|
1pm - 2pm |
Session 1 |
Welcome, Q&A, and overview |
|---|---|---|
| 1.1 | Welcome and what to expect from the afternoon. | |
| 1.2 |
Interactive activity |
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| 1.3 | In conversation: a discussion about the different disciplinary perspectives on integrating specific platforms for your teaching and practice. | |
|
2pm - 3pm |
Session 2 |
Feedback loops for research led, hybrid teaching and learning. |
| 2.1 | Canvas data and the wider ecology of resources. | |
| 2.2 | Looking to the Creative Industry communities | |
| 2.3 | In conversation: Ethics with a capital E |
|
|
3pm - 4pm |
Session 3 |
Research practices as teaching practices |
| 3.1 | Introduction the topic | |
| 3.2 | Case study: Publishing |
|
| 3.3 | In conversation: SoTL- how your teaching and learning can build your research profile. |
|
| 3.4 | Interactive activity |
|
|
4pm - 4.30pm |
Discussion |