S-DAT: A Multilingual, GenAI-Driven Framework for Automated Divergent Thinking Assessment

• URL: http://arxiv.org/abs/2505.09068v1
• Date: Wed, 14 May 2025 02:08:40 GMT
• Title: S-DAT: A Multilingual, GenAI-Driven Framework for Automated Divergent Thinking Assessment
• Abstract summary: This paper introduces S- DAT (Synthetic-Divergent Association Task), a scalable, multilingual framework for automated assessment of divergent thinking (DT)<n>We evaluate S- DAT across eleven diverse languages, including English, Spanish, German, Russian, Hindi, and Japanese (Kanji, Hiragana, Katakana)<n>Unlike prior DAT approaches, the S- DAT shows convergent validity with other DT measures and correct discriminant validity with convergent thinking.
• Score: 23.509294903995745
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This paper introduces S-DAT (Synthetic-Divergent Association Task), a scalable, multilingual framework for automated assessment of divergent thinking (DT) -a core component of human creativity. Traditional creativity assessments are often labor-intensive, language-specific, and reliant on subjective human ratings, limiting their scalability and cross-cultural applicability. In contrast, S-DAT leverages large language models and advanced multilingual embeddings to compute semantic distance -- a language-agnostic proxy for DT. We evaluate S-DAT across eleven diverse languages, including English, Spanish, German, Russian, Hindi, and Japanese (Kanji, Hiragana, Katakana), demonstrating robust and consistent scoring across linguistic contexts. Unlike prior DAT approaches, the S-DAT shows convergent validity with other DT measures and correct discriminant validity with convergent thinking. This cross-linguistic flexibility allows for more inclusive, global-scale creativity research, addressing key limitations of earlier approaches. S-DAT provides a powerful tool for fairer, more comprehensive evaluation of cognitive flexibility in diverse populations and can be freely assessed online: https://sdat.iol.zib.de/.

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