Artificial Intelligence: American Attitudes and Trends
https://doi.org/10.2139/ssrn.3312874
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https://doi.org/10.2139/ssrn.3312874
Background Understanding women’s perspectives can help to create an effective and acceptable artificial intelligence (AI) implementation for triaging mammograms, ensuring a high proportion of screening-detected cancer. This study aimed to e...
10.1136/bmjopen-2024-084014
The task of understanding the consumer journey increasingly is complex. Consumers express their needs and wants, attitudes, and values in various forms (through search, comments, blogs, Tweets, “likes,” videos, and conversations) and across...
https://doi.org/10.2501/jar-2018-035
10.1155/jonm/6814652
PMC: PMC13735534
Abstract Aim This study aimed to test the psychometric properties of the Attitudes Toward Artificial Intelligence in Nursing Scale (ASUAITIN) in Chinese culture. Methods A convenience sampling method was employed to recruit 499 clinical nur...
10.1186/s12912-025-03322-3
This study examined administrators’ and teachers’ perceptions of the factors affecting the management of professional development for primary school teachers’ STEM teaching competencies in the Mekong Delta, Vietnam. The paper reports the qu...
10.52714/dthu.ajes.36.2023
Background: Existing studies on anesthesiologists’ attitudes toward artificial intelligence (AI) leave a global understanding underexplored. This cross-sectional study aims to investigate Turkish anesthesiologists’ attitudes toward AI, exam...
10.4103/sja.sja_164_25
Prior models suggest that math attitudes and ability might strengthen each other over time in a reciprocal fashion (Ma, 1997). The current study investigated the relationship between math interest and skill both concurrently and over time i...
https://doi.org/10.1037/a0027756
A large field study of children in first and second grade explored how parents' anxiety about math relates to their children's math achievement. The goal of the study was to better understand why some students perform worse in math than oth...
https://doi.org/10.1177/0956797615592630
https://doi.org/10.1007/s10763-015-9687-5
College students, especially women, demonstrated negativity toward math and science relative to arts and language on implicit measures. Group membership (being female), group identity (self = female), and gender stereotypes (math = male) we...
https://doi.org/10.1037//0022-3514.83.1.44