Early-career academics across all disciplines in the UK face significant challenges, and computer science is no exception. There are challenges in terms of developing an independent research career, delivering high quality learning and teaching, maintaining their own professional development, as well as wider academic service commitments. Tertiary education institutions in the UK often provide support through some combination of mentoring, coaching, and training. Early-career faculty often have to work towards professional recognition of their teaching, either by direct application or via successful completion of an accredited institutional taught postgraduate course. This paper reports on progress towards supplementing institutional-level support through an evolving UK-wide initiative, co-constructed with early-career academics, to build diverse and resilient communities of practice in computer science. Insights are provided as to how the initiative supplements current institutional approach and is underpinned by national-level academic practice developmental events, professional body engagement, alongside cross-institutional mentoring and buddying schemes.

Original languageEnglish
Title of host publicationProceedings - 6th Conference on Computing Education Practice, CEP 2022
EditorsRosanne English, Craig Stewart
Place of PublicationNew York, U. S. A.
PublisherAssociation for Computing Machinery
Number of pages4
ISBN (Electronic)9781450395618
Publication statusPublished - 6 Jan 2022
Event6th Conference on Computing Education Practice, CEP 2022 - Virtual, Online, UK United Kingdom
Duration: 6 Jan 2022 → …

Publication series

NameACM International Conference Proceeding Series


Conference6th Conference on Computing Education Practice, CEP 2022
Country/TerritoryUK United Kingdom
CityVirtual, Online
Period6/01/22 → …


  • co-construction
  • community of practice
  • Early-career academics
  • professional development

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software


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