Visioning the Future focused on exploring the landscape of doctoral education in Performing Arts and Film / Screen Media in Ireland. This resource aims to support students, staff, and institutions to enhance their doctoral provision for Artistic Research PhDs [over 60 Creative Commons licensed resources are available on the site].
Benefit of this resource and how to make the best use of it
This resource maps out common challenges and modes of doing in Artistic Research Doctorates. It offers tools and strategies to overcome specific challenges and to support students, supervisors, and institutions in making the most out of the doctoral journey in artistic practice. Users can navigate from the home page bubbles and / or from the drop-down menu. You can approach each topic independently as needed and download all resources in PDF form. You are welcome to use them in your studies, research or (for institutions) to develop resources / protocols / policy; please note that all materials are licenced under Creative Commons CC BY-NC 4.0.
?
This citation is automatically generated and may require adjustment. Always verify it against your style guide.
Bento-Coelho, I., & Gilson, J. (2021). Artistic doctorate resources. National Resource Hub (Ireland). Retrieved from: https://hub.teachingandlearning.ie/resource/artistic-doctorate-resources/ License: Creative Commons Attribution-NonCommercial (CC BY-NC).
Adapting this resource? Share your version!
If you have modified or adopted this resource, share your version here. Tracking adaptations helps us measure impact and connects others with useful updates.
This report draws on Patricia Gibson’s research around critical approaches to Artificial Intelligence (AI) in Education and the increasing automation of Educational Technologies (EdTech).
Comparing student and educator perceptions of generative artificial intelligence for teaching, learning and assessment: results from two institutional surveys
This OER guides students through human-in-the-loop software development, demonstrating how AI tools can be effectively supervised, refined, and integrated across the Software Lifecycle. Designed for computing educators and learners, it combines agile practice, teamwork, DISC awareness, testing, and critical reflection on human–AI collaboration.
This OER introduces students to designing and developing AI-powered assistants for agile software development using Flowise (no code). Learners as a team explore Retrieval Augmented Generation (RAG) and agent-based systems, applying AI to real-world agile practices while considering technical design, evaluation, and cost-aware decision-making
