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The term "intelligence" is complex because it refers to both behavior and individuals, and its interpretation varies across cultures. European Americans tend to link intelligence with reasoning and cognitive skills, while in Kenya, it is tied to responsible participation in family and social life. In Uganda, intelligence is seen as the ability to know the right actions and carry them out effectively, while the Iatmul people of Papua New Guinea associate it with the capacity to remember...
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Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
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An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
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Despite the strong genetic influence on traits like intelligence, environmental factors significantly shape outcomes. For example, while over 90% of height variation is due to genetic differences, environmental factors such as nutrition also have a notable impact. Similarly, for intelligence, changes in a child's surroundings can significantly alter their IQ. Research shows that enriched environments boost children's academic success and help them develop key cognitive skills. Children...
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Humans are very diverse and although we share many similarities, we also have many differences. The social groups we belong to help form our identities (Tajfel, 1974). These differences may be difficult for some people to reconcile, which may lead to prejudice toward people who are different. Prejudice is a negative attitude and feeling toward an individual based solely on one’s membership in a particular social group (Allport, 1954; Brown, 2010). Prejudice is common against people who...
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Alfred Binet, along with his student Théophile Simon, was tasked by the French Ministry of Education in 1904 to create a method for identifying students who struggled to learn through conventional classroom instruction. This initiative aimed to address overcrowding by placing such students in specialized schools. Binet and Simon developed an intelligence test comprising 30 tasks, ranging from simple commands, like touching one's nose or ear, to more complex tasks, such as drawing...
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Generative Artificial Intelligence Literacy: Scale Development and Its Effect on Job Performance.

Xin Liu1, Longxin Zhang1, Xiaochong Wei1

  • 1School of Public Administration and Policy, Renmin University of China, Beijing 100872, China.

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|June 26, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a new framework to measure Generative AI Literacy, essential for workplace success. Enhanced Generative AI Literacy significantly boosts employee job performance by fostering creative self-efficacy.

Keywords:
Ability–Motivation–Opportunity theoryCreative Self-EfficacyGenerative Artificial Intelligence literacyjob performancescale development

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Area of Science:

  • Workplace productivity and artificial intelligence.
  • Human-computer interaction.
  • Organizational psychology.

Background:

  • Generative artificial intelligence (AI) offers significant workplace potential.
  • A lack of systematic definition and measurement for Generative AI Literacy exists.
  • Existing literature needs a comprehensive framework for assessing AI literacy in professional settings.

Purpose of the Study:

  • To develop and validate a robust measurement framework for Generative AI Literacy.
  • To explore the influence of Generative AI Literacy on employee job performance using AMO theory.
  • To investigate the mediating role of Creative Self-Efficacy in this relationship.

Main Methods:

  • A rigorous scale development process was employed.
  • A five-dimensional framework was constructed: basic technical competence, prompt optimization, content evaluation, innovative application, and ethical/compliance awareness.
  • Statistical analysis validated the framework's reliability, validity, and impact on job performance.

Main Results:

  • Generative AI Literacy significantly positively impacts job performance (β = 0.680, p < 0.001).
  • Creative Self-Efficacy partially mediates the relationship between Generative AI Literacy and job performance (indirect effect = 0.537).
  • The developed five-dimensional framework exhibits strong psychometric properties.

Conclusions:

  • The study provides a validated tool for measuring Generative AI Literacy in the workplace.
  • Generative AI Literacy enhances job performance through increased Creative Self-Efficacy.
  • Findings offer practical insights for organizations to optimize performance and promote responsible AI use.