Teaching during COVID-19: (international) lessons learnt in computing.

Zarb, Mark

Abstract

The coronavirus pandemic has forced an unprecedented global shift within higher education in the ways that we educate students. Computing education traditionally focuses on experiential, in-person activities. The pandemic has mandated that educators catalyse overnight innovations in the educational setting. Many new practices have emerged that offer valuable lessons to be carried forward into our post-COVID-19 teaching. These adaptations include the acquisition of new infrastructure, evolving expectations, revised course development strategies and the adoption of new modes of course delivery. Last year, our research team explored the ways in which higher education computing faculty responded to this dramatic shift in the (educational) world, based on a survey of computing academics worldwide. This presentation will use these results to inform 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. The exploration will strive to 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. Whilst grounded in computing education, the lessons learnt and recommendations may be applied in a wider context beyond computing.

Citation

ZARB, M. 2022. Teaching during COVID-19: (international) lessons learnt in computing. Presented at the 2022 RGU annual learning and teaching conference (RGU LTC 2022): enhancing for impact, 21 October 2022, Aberdeen, UK.

• Presentation Conference Type: Lecture
• Conference Name: 2022 RGU annual learning and teaching conference (RGU LTC 2022): enhancing for impact
• Conference Location: Aberdeen, UK
• Start Date: Oct 21, 2022
• Deposit Date: Mar 3, 2023
• Publicly Available Date: Mar 3, 2023
• Keywords: Higher education; Computing education; Teaching methods; Online learning
• Public URL: https://rgu-repository.worktribe.com/output/1898969
• Related Public URLs: https://rgu-repository.worktribe.com/output/1839941 (Full Proceedings)