Creativity Assessment, Research, and Practice in the Age of Artificial Intelligence

Abstract

Measurement tools and approaches have played a vital role in advancing creativity research, similar to their role in other scientific disciplines. Precise measurement is crucial for accurate hypothesis testing and comparing different theories. Recently, the field of creativity has reached a significant milestone with advancements in artificial intelligence (AI). AI has the potential to revolutionize creativity assessment methods, offering cost reduction, automation capabilities, and improved reliability compared to human raters. This advancement in measurement precision facilitated by AI can accelerate progress in creativity research. In this paper, I summarize the historical progression of advances in automated creativity assessment methods, present key findings from my recent and current collaborative research efforts and discuss the potential next steps of AI-related developments. Finally, I explore how these developments can support educational practices such as differentiation, enrichment, and identification of gifted and talented students.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 33 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.