The march towards on-line and blended teaching-present before the Covid-19 pandemic-has been accelerated by it, and there is no going back. Students and staff may object, but the economic drive towards "greater productivity" will inevitably result in less face-to-face (f2f) instruction. Therefore, it is incumbent for those delivering this precious, in-person resource to make maximum use of time...which raises the question, "how"?

Part 1: Approaches to Learning.- Changing minds: Multitasking in lectures.- Active learning in large lectures.- The flipped classroom.- Applying cognitive theory to the teaching of programming: Metaphors, robots and problem-based learning.- Distance learning: Lessons learned from a UK masters programme.- Academic integrity for computer science instructors.- Contextualisation in data science.- Part 2: Teaching examples and practice.- Using graphics to inspire failing students.- Best practices for teaching information systems modelling.- Promoting design thinking through knowledge maps: A case study in computer games design and development education.- Teaching fuzzy logic utilising innovative approaches.- Semi-automating the marking of a Java programming portfolio assessment: A case study from a UK undergraduate programme.- Part 3: Employability and group work.- The enterprise showcase experience.- Task versus process: A taxonomy for group projects.- Realising the threshold of employability in higher education.- Exploring the landscape of HE industrial placements within engineering and technology subjects. Observations of recruitment, graduate attributes and student experience.- Baseline skills - Scaffolding soft skills development within the curriculum.- Professionalism and online presence.- Postscript.