Call for Papers: Teaching and Learning with Generative AI and Emergent Technologies (Special Issue)

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Deadline for abstract submission 16th Sept 2024

Editors: Dr Natalie Djohari and Dr Gavin Weston, Bournemouth University.

With the growing accessibility of generative AIs, haptic technologies and open-source software, this Teaching Anthropology Special Issue asks; ‘how is anthropological knowledge production changing in this fast growing socio-technological era?’

In the last few years, Teaching Anthropology journal has received a growing number of articles that showcase innovation in adapting to Covid lockdowns, hybrid teaching, and utilising a growing range of haptic technologies and freely accessible apps. But as our teaching practices continue to change, a bigger question is emerging: how are these changes reconfiguring what anthropological knowledge is and how it is produced? What is the ‘anthropological text’ in light of generative AI? How far can we push the boundaries of innovative assessment and still coherently identify ‘anthropological knowledge’? How are these technologies changing our relationships with students, diversifying how we teach and how students engage with anthropological learning?

We invite papers that showcase how emergent technologies, and generative AI in particular, are changing practices in the teaching and learning of anthropology.

Format is flexible and we accept articles (6000-8000 words) and shorter 4000 word reports and reflections.

Proposed timeline:

  • Abstracts submitted via email to Natalie.djohari@gmail.com by 16th Sept 2024.
  • Acceptance decision made by 23rd Sept.
  • Final paper submissions to journal system by 1st Feb.
  • Publication expected Winter 2025 following successful peer review process.

Informal inquiries about style or suitability very welcome via email to Natalie Djohari Natalie.djohari@gmail.com

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