| Autor: |
Luke M. Montuori, Lara Montefiori |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Journal of Intelligence, Vol 10, Iss 2, p 24 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2079-3200 |
| DOI: |
10.3390/jintelligence10020024 |
| Popis: |
For decades, the field of workplace selection has been dominated by evidence that cognitive ability is the most important factor in predicting performance. Meta-analyses detailing the contributions of a wide-range of factors to workplace performance show that cognitive ability’s contribution is partly mediated by the learning of task-relevant skills and job-specific declarative knowledge. Further, there is evidence to suggest that this relationship is a function of task complexity, and partially mediated by learning performance in workplace induction and training activities. Simultaneously, evidence is mounting that stable individual differences in implicit learning exist, which are at least partially independent of traditional measures of intelligence. In this article we provide an overview of recent advances in our understanding of implicit learning, outline some of the advantages offered by its measurement, and highlight some of the challenges associated with its adoption as a measure of interest. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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