New Advances of Intelligence Measurement in the AI Era: Theory, Methods and Applications

Dear Colleagues,

Vast advances in the general artificial intelligence (gen-AI) have significantly impacted the field of measurement in general, and intelligence assessment in particular. These technological developments not only highlight the importance of measuring more complex cognitive constructs that are crucial in our-AI transformed society—such as executive functioning, critical thinking, collaborative ability—but also offer unprecedented opportunities to develop innovative AI-augmented approaches for assessing human intellectual capabilities. Therefore, it is essential to disseminate advances in research that leverage AI technologies to better understand and measure human intelligence, while ensuring that such developments are grounded in sound measurement theory and principles.

The focus of this Special Issue is new developments in psychological and educational measurement methodology and practices that integrate AI technology with rigorous measurement principles, specifically targeting the assessment of human intelligence and cognitive abilities. We encourage submissions that present theoretical work and/or empirical research related to innovative approaches to design, administer, analyze, interpret, and report assessments of cognitive function and intellectual capabilities, especially those involving complex cognitive constructs.

The topics that this Special Issue is soliciting submissions on include, but are not limited to, the following:

• Innovative AI-enhanced approaches to measure cognitive abilities and intelligence factors (e.g., fluid intelligence, working memory, processing speed, executive functions);
• Computer-supported, game-based, and scenario-based assessments of human intellectual capabilities;
• Principled item design and test development for cognitive ability measurement;
• AI-augmented automatic item generation for intelligence and cognitive assessments;
• Multi-modal process data analysis and modeling in cognitive assessment contexts;
• AI-assisted automated scoring of complex cognitive tasks and reasoning assessments;
• AI-assisted data visualization and automated feedback for cognitive ability profiles;
• AI-based personalized assessment of individual cognitive strengths and weaknesses;
• Novel psychometric models for AI-enhanced cognitive assessment;
• Validation studies of AI-augmented intelligence measures against established cognitive benchmarks.

Dr. Xiangdong Yang
Dr. Kaiwen Man
Guest Editors

Manuscript Submission Information

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