Science & Technology

A Focus on Pedagogy Series

22-24 June, 2026

Madrid

 

CONFERENCE

Contemporary Teaching in a Time of Change

Health & Wellbeing Strand

 

Event: 24 – 26 June, 2026      |      Abstracts: 15 July, 2025

The Science & Technology strand of this conference is interested in questions across STEM subjects the physical sciences and technology fields as both subjects of academic research and as disciplines with specific pedagogical practices.

The conference forms part of the Focus on Pedagogy series. It examines the future of education across disciplines in an era of unprecedent change: A worldwide pandemic that distanced the educator from the learner. The emergence of AI. The continued diversification of the student body. The decolonization of the curriculum. The incorporation of sustainability and resilience into our teaching, and much more.

Reflecting on this scenario from the historic city of Madrid, we draw on an educational history that is deep-rooted: the city is home to the Royal Spanish Academy, the internationally renowned Instituto Cervantes and some of the oldest and most prestigious universities in Europe. With this in mind, the conference is interested in exploring critical perspectives on the future of education in specific disciplines and across disciplinary boundaries, but is equally interested in understanding their individual pasts and maintaining what is strong and functions well in the way we teach today.


 

Disciplinary Themes

 

SCIENCE & TECHNOLOGY:

Themes include:

The use of technologies in everyday life, the application of scientific knowledge to industry and examinations of best practice teaching using AI. It welcomes critiques of the effects of technology on communities and the first-hand documentation of educational technologies in the classroom. It seeks to discuss collaborations between the sciences & the arts and share knowledge on issues of teaching and researching across STEM and social science disciplines.

Other themes:

Teaching & Learning | Methods, modes of practice and innovations in both how we address science and technology in how we teach and what we research.
Art & Design | Best practices in science and technology research and teaching from the standpoint of educators, learners, industry and the public.
Humanities & Social Sciences | Examinations of innovative education and research in the socio-cultural impacts of science and technology.
Built Environments | Presentations on the smart city, parametric architecture, VR in spatial design and big data analysis of cities.
Health & Wellbeing | Considerations of how technology can support health and wellbeing – from wellness apps to innovative health research.

Further details and to submit your abstract:

 

Publications

Conference outputs include the AMPS Proceedings Series, ISSN 2398-9467; Special Issue Publications of the AMPS academic journal with UCL Press; Books from this event will be developed by Routledge Taylor & Francis, with short films available on the AMPS Academic YouTube Channel.

Written papers are optional.  If submitted they should be 3,000 word length. Formatting instructions to follow after the conference. All papers are double- blind peer reviewed for the AMPS Conference Proceedings Series. Subject to review, selected authors will be invited to develop longer versions as journal articles with UCL Press or book chapters with Routledge Taylor & Francis.

Papers dealing directly with issues of teaching and learning will be considered for the Routledge series A Focus on Pedagogy.

 

Formats

In-person: Live in Madrid

@Madrid: For delegates visiting Spain but presenting virtually

Zoom: Virtual presentations coordinated by AMPS

Pre-recorded:  Pre-recorded presentations or films will be available permanently on the AMPS Academic YouTube channel

Written papers: In all cases, delegates can present full written papers for inclusion in associated conference publications

 

Submissions & Registration

Queries: team@amps-research.com

Click the button below for full details and to submit your abstract.