Technological literacy is essential to ensure lifelong engagement in rapidly changing societies. Three factors that affect learning in later adulthood are age-related declines in processing new information, changes in motivation and reprioritization of emotional wellbeing over new learning, and the ways in which beliefs and stereotypes influence motivation and learning.
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Casey LindbergEdwin CarstensenLaura Cartsensen
This paper lays out a theory of (re-)generative learning to explain how families and communities socialize young learners into thinking like scientists and mathematicians. Cultural communities and their families orient their young in varied ways toward the language, behaviors, and self-theories about the future presupposed in the learning of science and mathematics. Certain socialization processes and norms correspond closely with those that scientists and artists use in laboratories, studios, and rehearsals. Certain norms of politeness and patterns of language differ significantly from habits
In this paper, research on interest and motivation is revisited in the context of informal science learning (ISL) settings such as museums, out-of school or after-school clubs or groups, science camps, and enrichment programs1. The ISL context differs from traditional school "cookbook" science in a number of critical ways: rather than emphasizing science information, it is designed to engage participants in inquiry-informed and free-choice opportunities to work with authentic science2. Productive participation in the ISL setting should enable the development of scientific literacy and