An inclusive solution for teaching and learning R during the COVID pandemic
An inclusive solution for teaching and learning R during the COVID pandemic
Add to calendarLive Education Session + Q&A
with Dr. Patricia Menéndez
Assistant Professor at the Department of Econometrics and Business Statistics at Monash University
Thursday, January 11th at 1pm PST
(No registration required)
Learn How To...
Leverage Cloud solutions at scale
Equip students with industry-leading tools
Eliminate both technical and financial challenges
Learn why faculty-centric matters
The COVID pandemic has shaken our teaching and learning approaches in many different ways all over the world.
Nonetheless, it has also provided opportunities for bringing creativity into the classroom. In this talk, I will discuss how I have used RStudio Cloud in my teaching during the pandemic and how I capitalised on the opportunities that RStudio Cloud offers to deal with the crucial issues of software installation.
Introducing RStudio Cloud in the units has allowed me to work effectively in an online environment to engage, motivate and empower students through their learning process while removing the troubles and hurdles of software installation which is generally particularly challenging in first year cohorts without prior coding experience.
I used RStudio Cloud in a data science introductory unit at Monash University and as a tool to present the usage of R and RStudio for reproducible reporting in another unit on Reproducible and Collaborative Practises. In the latter, I introduced RStudio Cloud during the first few weeks to get the students up to speed before transitioning to using R and RStudio Cloud in their own local machines while using the command line interface, Git and GitHub as a version control tool for reproducible reporting.
I will also discuss how I organised and managed the units RStudio Cloud account so that my research associates were also an integral part of the unit delivery to ensure success of the units.
Add to CalendarWho Is It For?
We want everyone who is interested to attend. That said, we think the presentation will be particularly valuable if you’d consider yourself:
Professors, Instructors and Teaching Assistants
- If you want to easily share projects with your class
- If you teach data science with R & Python
- If you’d like to avoid trouble shooting with a no-install setup for you and students
- See how all you need is a browser to share and teach!
- Avoid the need for extensive IT Support
Dean and Chairs
- If you are searching for a trustworthy teaching platform for your data literacy programs and courses
- If you’d like to learn how to have a good return on investment in your institute’s tools and platforms
- Equip your students with employer in demand skills
- Reduce the demand on your IT team while giving your school access to fully supported open-source ecosystems
Academic IT Leaders
- Reduce demand on your team
- Reduce computational resource constraints
- Avoid having to scale container orchestration systems such as kubernetes
- If you're unfamiliar with R or Linux no problem
WorkShop Trainers
- If you want to easily collaborate and share trainings with your team and org
- If SSO is a priority for your org
- Access to professional tools such as RStudio Workbench in the Cloud
About the Speaker
Dr. Patricia Menéndez
/Assistant professor at the Department of Econometrics and Business Statistics, Monash University
Dr Patricia Menéndez is an Assistant professor at the Department of Econometrics and Business Statistics at Monash University. Patricia's training is in mathematics and Statistics, and she received her PhD from ETH Zurich in Switzerland. She has been a Mobukagakusho fellow in Japan and has held academic positions in Spain, The Netherlands, and Australia. Before joining Monash University, she has also worked outside of academia as research statistician for the NSW Bureau of Crime Statistics and Research in Sydney, and for the Australian Institute of Marine Science.
Patricia's interest is on developing mathematical and statistical methods and has worked on multidisciplinary projects to answer research and policy-making questions in the fields of climate change, environmental and marine sciences besides criminology. Her research is about the development and application of statistical methodology and software to solve real life problems. Dr Menéndez is passionate about teaching and student learning, and she has expertise providing statistical training to audiences in both academic and non-academic environments.