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Introduction: Situational judgment tests (SJT) are commonly used in admissions to measure skills associated with professionalism. Although open-response SJTs have shown strong psychometric properties, assessors' personal beliefs, experiences, and cultural backgrounds may influence how they perceive, organize and evaluate information within test takers' diverse responses. Additionally, SJT research typically focuses on reliability and predictive validity, whereas the construct validity of open response SJTs remains underexplored.

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Introduction: Gaining clinical judgment competence among student nurses is a significant outcome of nursing education. In this education process, an assessment tool based on observable behaviors is needed for evaluating students' clinical judgment skills.

Objective: This study aimed to evaluate the validity and reliability of the Turkish version of the Lasater Clinical Judgment Rubric, which assesses student nurses' stages of clinical judgment competency in simulation-based education.

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Each perceptual process is accompanied with an evaluation regarding the reliability of what we are perceiving. The close connection between confidence in perceptual judgments and planning of actions has been documented in studies investigating visual perception. Here, we extend this investigation to auditory perception by focusing on spatial hearing, in which the interpretation of auditory cues can often present uncertainties.

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The Spatial-Numerical Association of Response Codes (SNARC) effect refers to the phenomenon of faster left-hand responses to smaller numbers and faster right-hand responses to larger ones. The current study examined the possible long-lasting effects of magnitude-relevant stimulus-response compatibility (SRC) practices on the SNARC effect in a transfer paradigm. Participants performed a magnitude classification task including either SNARC-compatible or SNARC-incompatible trials as practice.

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AI contextual information shapes moral and aesthetic judgments of AI-generated visual art.

Cognition

January 2025

Social Brain Sciences Group, Department of Humanities, Social and Political Sciences, ETH Zurich, Zurich, Switzerland. Electronic address:

Throughout history, art creation has been regarded as a uniquely human means to express original ideas, emotions, and experiences. However, as Generative Artificial Intelligence reshapes visual, aesthetic, legal, and economic culture, critical questions arise about the moral and aesthetic implications of AI-generated art. Despite the growing use of AI tools in art, the moral impact of AI involvement in the art creation process remains underexplored.

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