

Informs management on matters that one feels strongly about. Proposes a plan to social improvement and follows through with commitment. Is sensitive towards individual and cultural differences (value diversity). Valuing is based on the internalization of a set of specified values, while clues to these values are expressed in the learner's overt behavior and are often identifiable.Įxamples: Demonstrates belief in the democratic process. Valuing: The worth or value a person attaches to a particular object, phenomenon, or behavior. This ranges from simple acceptance to the more complex state of commitment. Key Words: answers, assists, aids, complies, conforms, discusses, greets, helps, labels, performs, presents, tells Questions new ideals, concepts, models, etc. Learning outcomes may emphasize compliance in responding, willingness to respond, or satisfaction in responding (motivation).Įxamples: Participates in class discussions. Attend and react to a particular phenomenon. Responds to Phenomena: Active participation on the part of the learners. Key Words: acknowledge, asks, attentive, courteous, dutiful, follows, gives, listens, understands Listen for and remember the name of newly introduced people. Receiving Phenomena: Awareness, willingness to hear, selected attention.Įxamples: Listen to others with respect. The five major categories are listed from the simplest behavior to the most complex: Category The affective domain (Krathwohl, Bloom, Masia, 1973) includes the manner in which we deal with things emotionally, such as feelings, values, appreciation, enthusiasms, motivations, and attitudes. For an overview of the three domains, see the introduction. The affective domain is one of three domains in Bloom's Taxonomy, with the other two being the cognitive and psychomotor (Bloom, et al., 1956).

#Bloom aim meaning full
The kernel image should be fully present on the GPU and available at full resolution, otherwise a low resolution version of the kernel may be used and will result in seriousĭegradation of quality.Note: This site is moving to. WhenĬreating your kernel images and setting them up for use with Bloom Convolution, there are a few things that you should keep in mind. The additional realism generated by the image-based convolution is the result of its ability to use a visually interesting, non-symmetric kernel images. Increasing this value has adverse performance impact. Implicit buffer region as a fraction of screen size to insure the bloom does not wrap around the image. By default this boost is disabled and should be used with caution. The brightness delta above the minimum value will be amplified by the multiplier. This consists of a minimum value, a maximum value and a multiplier. Offsets here will result in full offsets of the bloom image.īoosts the intensity of select pixels prior to applying the convolution bloom filter. Ideally the Convolution Kernel image is a perfectly centered response to a brighter source, but generally small tweaks will be required. In UV coordinates, defaults to (1/2, 1/2). Primarily used to decrease the size of the bloom. This indicates the relative size of the Convolution Kernel image in units of the viewport, defaults to 1.
