@inproceedings { , title = {Teaching through a global pandemic: educational landscapes before, during and after COVID-19.}, abstract = {The coronavirus (COVID-19) pandemic has forced an unprecedented global shift within higher education in how instructors communicate with and educate students. This necessary paradigm shift has compelled educators to take a critical look at their teaching styles and use of technology. Computing education traditionally focuses on experiential, in-person activities. The pandemic has mandated that educators reconsider their use of student time and has catalysed overnight innovations in the educational setting. Even in the unlikely event that we return entirely to pre-pandemic norms, many new practices have emerged that offer valuable lessons to be carried forward into our post-COVID-19 teaching. This working group will explore what the post-COVID-19 academic landscape might look like, and how we can use lessons learned during this educational shift to improve our subsequent practice. Following a multinational study of computing faculty, this exploratory stage will identify practices within computing that appear to have been improved through exposure to online tools and technologies, and that should therefore continue to be used in the online space. In the broadest sense, our motivation is to explore what the post-COVID-19 educational landscape will look like for computing education.}, conference = {26th ACM (Association for Computing Machinery) conference Working group reports on Innovation and technology in computer science education 2021 (ITiCSE-WGR '21)}, doi = {10.1145/3502870.3506565}, isbn = {9781450392020}, note = {INFO COMPLETE (Info via Scopus alert 20/1/2022 LM) PERMISSION GRANTED (version = AAM ; embargo = none ; licence = BY-NC; POLICY = https://www.acm.org/publications/openaccess\#green ) PENDING DOCUMENT (AAM requested from contact 20/1/2022 LM) ADDITIONAL INFO - Contact: Mark Zarb Set Statement - (Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org.)}, publicationstatus = {Published}, publisher = {Association for Computing Machinery (ACM)}, url = {https://rgu-repository.worktribe.com/output/1575345}, keyword = {Computing Education, Pedagogy, COVID-19, Teaching, Online education, Computer science, Computing education, Recovery, Coronavirus, Resilience, Pandemic}, year = {2021}, author = {Siegel, Angela A. and Zarb, Mark and Alshaigy, Bedour and Blanchard, Jeremiah and Crick, Tom and Glassey, Richard and Hott, John R. and Latulipe, Celine and Riedesel, Charles and Senapathi, Mali and Simon, and Williams, David} }