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Mental toughness is a measure of individual psychological resilience and confidence that may predict success in sport, education, and in the workplace. [1] The concept emerged in the context of sports training and sports psychology, as one of a set of attributes that allow a person to become a better athlete and able to cope with difficult training and difficult competitive situations and ...
The disparity between actual IQ and perceived IQ has also been noted between genders by British psychologist Adrian Furnham, in whose work there was a suggestion that, on average, men are more likely to overestimate their intelligence by 5 points, while women are more likely to underestimate their IQ by a similar margin.
A strong sense of self-efficacy promotes human accomplishment and personal well-being. A person with high self-efficacy views challenges as things that are supposed to be mastered rather than threats to avoid. These people are able to recover from failure faster and are more likely to attribute failure to a lack of effort.
The English language uses the Latin term magnum opus, (literally "great work") to describe certain works of art and literature. Since the publication of Francis Galton 's Hereditary Genius in 1869, and especially with the accelerated development of intelligence tests in the early 1900s, there has been a vast amount of social scientific research ...
the belief that change, rather than stability, is the normal mode of life and constitutes motivating opportunities for personal growth rather than threats to security [1] Maddi characterized hardiness as a combination of three attitudes (commitment, control, and challenge) that provide the courage and motivation needed to turn stressful ...
Work ethic is a belief that work and diligence have a moral benefit and an inherent ability, virtue or value to strengthen character and individual abilities. [1] Desire or determination to work serves as the foundation for values centered on the importance of work or industrious work.
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"In general, we're least aware of what our minds do best", he wrote, and added: "we're more aware of simple processes that don't work well than of complex ones that work flawlessly". [2] Steven Pinker wrote in 1994 that "the main lesson of thirty-five years of AI research is that the hard problems are easy and the easy problems are hard".