Learning digital humanities in a community of practice: the DEAR model of postgraduate research training

Benatti, Francesca, Gooding, Paul and Sillence, Matthew (2021) Learning digital humanities in a community of practice: the DEAR model of postgraduate research training. Digital Humanities Quarterly, 15 (3).

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Abstract

research students. This article sets out to address this relative lack, by introducing the inter- and multi-disciplinary context in which many students in the UK work. We examine the phenomenon of students who are not necessarily interested in becoming DH practitioners, but have identified DH as a knowledge gap in their own disciplinary practice. Such a realisation changes the nature of the learner within DH communities of practice, requiring a different form of learning. This study therefore explores learning within a community of practice, the inter- and multi-disciplinary space in which digital humanities practitioners operate. First, drawing on the diverse disciplinary landscape, it highlights an individual's learning journey through self-determined learning (heutagogy). Second, it outlines an idea of digital humanities pedagogy for postgraduate research based on current frameworks of digital literacies and broader researcher development in the UK, framing research activity as learning. Third, it presents the DEAR model for learning and teaching design, which is based on four principles: Diversity; Employability; Application; and Reflection. Finally, it provides an evaluation of the DEAR model in the context of one UK Doctoral Training Partnership (DTP). It contributes to understanding of pedagogical practices for doctoral-level DH training and provides a set of recommendations for instructors to adopt and adapt these pedagogical principles in their own programmes.

Item Type: Article
Uncontrolled Keywords: digital humanities,pedagogy,doctoral students
Faculty \ School: Faculty of Arts and Humanities
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 04 Dec 2021 01:40
Last Modified: 09 Jun 2022 14:26
URI: https://ueaeprints.uea.ac.uk/id/eprint/82537
DOI:

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