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The worked-example effect is a learning effect predicted by cognitive load theory. [1] [full citation needed] Specifically, it refers to improved learning observed when worked examples are used as part of instruction, compared to other instructional techniques such as problem-solving [2] [page needed] and discovery learning.
A practice effect is the outcome/performance change resulting from repeated testing. This is best described by the Power Law of Practice : If multiple levels or some other variable variation are tested repeatedly (which is the case in between-group experiments), the subjects within each sub-group become more familiarized with testing conditions ...
Ambiguity effect; Assembly bonus effect; Audience effect; Baader–Meinhof effect; Barnum effect; Bezold effect; Birthday-number effect; Boomerang effect; Bouba/kiki effect; Bystander effect; Cheerleader effect; Cinderella effect; Cocktail party effect; Contrast effect; Coolidge effect; Crespi effect; Cross-race effect; Curse of knowledge ...
The testing effect (also known as retrieval practice, active recall, practice testing, or test-enhanced learning) [1] [2] [3] suggests long-term memory is increased when part of the learning period is devoted to retrieving information from memory. [4]
In cognitive psychology, cognitive load is the effort being used in the working memory.According to work conducted in the field of instructional design and pedagogy, broadly, there are three types of cognitive load: intrinsic cognitive load is the effort associated with a specific topic; extraneous cognitive load refers to the way information or tasks are presented to a learner; and germane ...
Print/export Download as PDF; Printable version; From Wikipedia, the free encyclopedia. Redirect page. Redirect to: Between-group design experiment#Practice effect ...
Example graph of the power law, x axis represents time, y axis represents reaction time. The power law of practice states that the logarithm of the reaction time for a particular task decreases linearly with the logarithm of the number of practice trials taken. It is an example of the learning curve effect on performance.
This effect is most notable when dealing with semantic knowledge, but is also applicable to the acquisition of general skills. [4] With regards to distributed practice, increasing the amount of practice when learning will result in an increased priming effect for subsequent practice sessions.