Dr Janet Francis

Senior Lecturer

Digital, Tech, Innovation & Business

Following a brief career as a secondary school science teacher, I took a master’s degree in computer science and subsequently worked in the IT industry. During that time, I held the positions of software engineer, software trainer (specialising in databases), database consultant and technical services manager. I later worked as a project manager.

After twelve years in industry. I moved back into teaching at Staffordshire university. My role includes lecturing and supervisory work on degree apprenticeship programmes, as well as non-apprenticeship courses at levels 3 through to 7. I welcome opportunities to work with industry partners and am currently involved in part-funded innovation projects in the areas of artificial intelligence and data science.

My research areas are work-based learning, apprenticeship, and service innovation and management. I have co-authored peer reviewed papers and regularly attend and present my research at conferences.

Professional memberships and activities

  • Member of the British Computer Society
  • Senior Fellow of the Higher Education Academy
  • Postgraduate Associate Member, LCT Centre for Knowledge-Building

Academic qualifications

  • Doctorate in Education, Staffordshire University
  • MSc in Computer Science, University of Birmingham
  • PGCE (Science Teaching), Chelsea College, University of London
  • PGCert Research Methods, Staffordshire University

Expertise

  • Data Management and Databases
  • Data Analytics and Business Intelligence
  • Data Mining and Machine Learning
  • IT Project Management
  • Service Innovation and Digital Transformation
  • Work-based learning and Apprenticeship
  • Legitimation Code Theory
  • Service Dominant Logic

Research interests

  • Service Innovation and Digital Transformation
  • Work-based learning and Apprenticeship
  • Legitimation Code Theory
  • Service Dominant Logic

Enterprise and commercial interests

I welcome opportunities to work with industry partners and am involved in part-funded innovation projects in the areas of Artificial Intelligence and Data Science.

Teaching

My teaching focus reflects my industrial experience and is centred on Informatics, Data Science, Technical Service Management and IT Project Management. I teach at all levels from level 3 (Foundation Year) to level 7 (master’s).

I work with students in our foundation year and at level 4 to develop their professional and academic skills. I am an accredited Strengths Profile Practitioner, and my coaching uses the strengths approach to help learners to develop.https://orcid.org/0000-0002-9843-221X

Publications

Selected publications:

Stanier C., Mansfield G, Lawton J., Wilson E., Hasan M., Knight F., Francis J., Cornes R., Eardley W.A., Hodgkiss D., (2017) Sharing Ideas and Practice In Higher Education, Proceedings of INTED 2017 (11th International Technology, Education and Development Conference) 6-8 March 2017, Valencia, Spain. IATED. DOI: 10.21125/inted.2017

Uden, L., Francis, J. (2011) Service Innovation Using Actor Network Theory, In Tatnall, Arthur, Ed. Actor-Network Theory and Technology Innovation: Advancements and New Concepts. IGI Global. DOI: 10.4018/978-1-60960-197-3

Uden, L., Francis, J.(2008) Actor-network theory for Service Innovation, International Journal of Actor Network Theory and Technological Innovation Vol. 1, Issue 1 Pages: 23-44. DOI: 10.4018/jantti.2009010102

Uden, L., Francis, J., Dai, W (2008) Service Quality for Service Innovation, Proceedings of IEEE International Conference on Service Operations and Logistics, and Informatics, October 12-15, 2008, Beijing, China, Volume 2 Page(s): 2779-2784. DOI: 10.1109/SOLI.2008.4683007S.

External profiles

in the UK for Quality Education

Sustainable Development Goal 4, Times Higher Education Impact Rankings 2023

for Career Prospects

Whatuni Student Choice Awards 2023

for Facilities

Whatuni Student Choice Awards 2023

for Social Inclusion

The Times and The Sunday Times Good University Guide 2023

of Research Impact is ‘Outstanding’ or ‘Very Considerable’

Research Excellence Framework 2021

of Research is “Internationally Excellent” or “World Leading”

Research Excellence Framework 2021

Four Star Rating

QS Star Ratings 2021