Automated Graphic Divergent Thinking Assessment: A Multimodal Machine Learning Approach
This study proposes a multimodal deep learning model for automated scoring of image-based divergent thinking tests, integrating visual and semantic features to improve assessment objectivity and efficiency. Utilizing 708 Chinese high school students’ responses from validated tests, we developed a sy...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
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| Series: | Journal of Intelligence |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-3200/13/4/45 |
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