Doctoral Colloquium—Exploring AI-imagery, a Form of Secondary Computation Analysis

Authors

  • Genevieve Smith-Nunes

DOI:

https://doi.org/10.56198/ZH3JO3ETF

Keywords:

AI, Arts-Based Practice, Data Analysis, Educational Research, Post-Humanism

Abstract

AI-imagery a computational secondary analysis approach explores the potential of AI- imagery as a computational secondary analysis approach. This Doctoral Colloquim paper, it delves into the current status of AI art and its function at the intersection of technology and creativity, while considering its implications for post-humanism. The paper also examines how immersive learning can enhance the appreciation and understanding of AI art. Through a literature review and a case study example, this exhibition/paper aims to demonstrate how AI art can be used as a type of data analysis for educational research and immersive learning. By shedding light on the possibilities of AI-imagery explored via immersive space, this paper invites us to envision the future of creativity and the role that AI can play in shaping it.

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Published

17-06-2023

How to Cite

Doctoral Colloquium—Exploring AI-imagery, a Form of Secondary Computation Analysis. (2023). Immersive Learning Research - Academic, 1(2), 58-62. https://doi.org/10.56198/ZH3JO3ETF

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