827 resultados para artifical intelligence
Resumo:
Purpose: The purpose of this paper is to investigate the relationship between the facets of cultural intelligence (CQ) (cognitive, meta-cognitive, motivational and behavioural) and the dimensions of cross-cultural adjustment (interaction, general and work adjustment).
Design/methodology/approach: Interviews and questionnaire survey were carried out with British expatriates from the architectural, engineering and construction sector. A total of 191 respondents, with experience from 29 different countries, actively participated in this research. Structural equation model was subsequently developed to investigate the relationship between elements of CQ and cross-cultural adjustment.
Findings: Results of structural equation modelling revealed that collectively all the four aspects of CQ have significant influence on general, interaction and work adjustment, particularly motivational and cognitive CQ. Cognitive CQ which empowers the expatriates with in-depth knowledge about different cultures was a significant predictor of interaction and work adjustment, whereas, motivational CQ is a significant predictor for general and work adjustment. However, no support was gathered for meta-cognitive and behavioural aspects of CQ.
Practical implications: Globally, construction companies and projects are entering an era of increased internationalisation which has prompted the migration/promotion of British construction professionals to different parts of the world for their specialised capabilities and skills. Thus, it is of utmost importance that these professionals adjust to their new world of varied culture and still be productive in their work.
Originality/value: An understanding of these essential factors can actually help British construction organisations to select and mentor individuals and to provide necessary training for successful international assignments.
Resumo:
To examine the prevalence and pattern of specific areas of learning disability (LD) in neurologically normal children with extremely low birth weight (ELBW) (<or = 800 g) who have broadly average intelligence compared with full-term children with normal birth weight of comparable sociodemographic background, and to explore concurrent cognitive correlates of the specific LDs.
Resumo:
Predictive validity of the Stanford-Binet Intelligence Scale Fourth Edition (S-B IV) from age 3 years to ages 4-5 years was evaluated with biologically "at risk" children without major sensory or motor impairments (n = 236). Using the standard scoring, children with full scale IQ <or = 84 on the Wechsler Preschool and Primary Scale of Intelligence at age 4-5 years were poorly identified (sensitivity 54%) from the composite S-B IV score at age 3. However, sensitivity improved greatly to 78% by including as a predictor the number of subtests the child was actually able to perform at age 3 years. Measures from the Home Screening Questionnaire and ratings of mother-child interaction further improved sensitivity to 83%. The standard method for calculating the composite score on the S-B IV excludes subtests with a raw score of 0, which overestimates cognitive functioning in young biologically high risk children. Accuracy of early identification was improved significantly by considering the number of subtests the child did not perform at age 3 years.