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It proposes that the effectiveness of multiple representations can best be understood by considering three fundamental aspects of learning: the design parameters that are unique to learning with multiple representations; the functions that multiple representations serve in supporting learning and the cognitive tasks that must be undertaken by a learner interacting with multiple representations.
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And by looking at this problem, we kind of unveil one of the most fundamental aspects of machine learning.
The idea of meta-cognitive learning has enriched the landscape of evolving systems, because it emulates three fundamental aspects of human learning: what-to-learn; how-to-learn; and when-to-learn.
Understanding the basic neurobiology of learning at the synaptic and circuit levels and the integration of salience and emotional responses into learning and decision making informs teachers about the most fundamental aspects of the learning process.
The fundamental aspect of machine learning is letting the computer program learn from examples.
Androgens regulate behaviors ranging from the most fundamental aspects of reproduction to nuances of learning that contribute to higher cognitive functions.
A fundamental aspect of procedural learning is that it takes place over an extended time-period that may be divided into distinct stages based on both behavioural characteristics and neural correlates of performance.
Another fundamental aspect of active learning that we are focused on is the definition of a stopping criteria so we can decide when to stop querying.
In addition, we administered several surveys throughout the semester to address three fundamental aspects of how students were engaging in learning genetics: their process (study habits and interactions with other students), their motivation and attitudes toward genetics, and their time spent studying.
Learning the fundamental aspects of electronics is currently largely the reserve of courses beyond secondary education, with circuit and hardware design pushed to the latter years of higher education.
But the researchers believe that there is still great power in the approach of building bodies for brains because of its potential to foster computer learning, adaptability and independence -- all fundamental aspects of biological intelligence.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com