Taylor-Beswick, Amanda
ORCID: https://orcid.org/0000-0001-6320-5618
(2025)
Holding steady with AI in a rapidly changing world: retaining the human in social work.
In: Group for the Advancement of Psychodynamics and Psychotherapy in Social Work (GAPS) National Conference 2025, 20 November 2025, Horizon Leeds (and online).
(Unpublished)
Full text not available from this repository.
Abstract
Professor Amanda Taylor-Beswick, Professor of Digital and Social Sciences at the University of Cumbria, presented a keynote presentation at this event. Professor Amanda Taylor-Beswick is a digital social scientist whose research interests and work spans a range of socio-technological intersections. A qualified social worker by background, with extensive practice experience in psychiatric social work and social work with d/Deaf children and their families. Through these practice experiences, Amanda developed a curiosity about how advancements in technologies could and should be harnessed for social good. Progressing into academia, this became focused on the contemporisation and real-world relevancy of higher education, with a particular emphasis on professional disciplines and how relational curriculum design, content, delivery, and assessment supports graduate preparedness for an increasingly digitally saturated world. A multi award-winning and internationally published academic recognised for leading critical and ethical discourse regarding social work and digitalisation. Amanda is a leader in the development of pedagogic approaches that support the progression of digital knowledge and literacies for academics, students, and practitioners, already practising in their respective fields. An impactful scholar leading transformational digital practice change across a range of professional groupings.
Item Type: | Conference or Workshop Item (Keynote) |
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Departments: | Institute of Health > Social Work, Children and Families |
Depositing User: | Anna Lupton |
Date Deposited: | 03 Oct 2025 10:21 |
Last Modified: | 03 Oct 2025 10:21 |
URI: | https://insight.cumbria.ac.uk/id/eprint/9093 |