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The taxonomy divides learning objectives into three broad domains: cognitive (knowledge-based), affective (emotion-based), and psychomotor (action-based), each with a hierarchy of skills and abilities. These domains are used by educators to structure curricula, assessments, and teaching methods to foster different types of learning.
Affective neuroscience is the study of how the brain processes emotions. This field combines neuroscience with the psychological study of personality , emotion , and mood . [ 1 ] The basis of emotions and what emotions are remains an issue of debate within the field of affective neuroscience.
Research on affect in language learning is still strongly influenced by Bloom's taxonomy, which describes the affective levels of receiving, responding, valuing, organization, and self-characterization through one's value system.
Affective styles represent the motivational dimensions of the learning personality; each learner has a personal motivational approach. Physiological styles are bodily states or predispositions, including sex-related differences, health and nutrition, and reaction to physical surroundings, such as preferences for levels of light, sound, and ...
The affective filter is an impediment to learning or acquisition caused by negative emotional ("affective") responses to one's environment. It is a hypothesis of second-language acquisition theory, and a field of interest in educational psychology and general education.
Affect, in psychology, is the underlying experience of feeling, emotion, attachment, or mood. [1] It encompasses a wide range of emotional states and can be positive ...
Mastery learning is an educational philosophy first proposed by Bloom in 1968 [8] based on the premise that students must achieve a level of mastery (e.g., 90% on a knowledge test) in prerequisite knowledge before moving forward to learn subsequent information on a topic. [9]
Affective computing is the study and development of systems and devices that can recognize, interpret, process, and simulate human affects. It is an interdisciplinary field spanning computer science , psychology , and cognitive science . [ 1 ]