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Elaborative encoding is a mnemonic system that uses some form of elaboration, such as an emotional cue, to assist in the retention of memories and knowledge. [1] In this system one attaches an additional piece of information to a memory task which makes it easier to recall.
In experiments with the macaque monkey, Earl Miller and his colleagues used the delayed matching to sample (DMS) task to assess working memory in monkeys. [33] The monkey was required to fixate on a computer screen while coloured images were displayed serially for 0.5 seconds, and separated by a one-second delay.
It is also a useful tool in connecting new information to information already stored in memory, as there is a close association between encoding and retrieval. Thus, creating practice tests allows the individual to process the information at a deeper level than simply reading over the material again or using a pre-made test. [ 61 ]
A modality effect is present in chunking. That is, the mechanism used to convey the list of items to the individual affects how much "chunking" occurs. Experimentally, it has been found that auditory presentation results in a larger amount of grouping in the responses of individuals than visual presentation does. Previous literature, such as George Miller's The Magical Number Seven, Plus or ...
Memory diagnostic software programs (e.g., memtest86) are low-cost or free tools used to check for memory failures on a PC. They are usually in the form of a bootable software distribution on a floppy disk or CD-ROM. The diagnostic tools provide memory test patterns which are able to test all system memory in a computer.
Free recall describes the process in which a person is given a list of items to remember and then is tested by being asked to recall them in any order. [6] Free recall often displays evidence of primacy and recency effects. Primacy effects are displayed when the person recalls items presented at the beginning of the list earlier and more often.
MemTest86 and Memtest86+ are memory test software programs designed to test and stress test an x86 architecture computer's random-access memory (RAM) for errors, by writing test patterns to most memory addresses, reading back the data, and comparing for errors. [6]
The implicit association test is a testing method designed by Anthony Greenwald, Debbie McGhee and Jordan Schwartz, and was first introduced in 1998. [2] The IAT measures the associative strength between categories (e.g. Bug, Flower) and attributes (e.g. Bad, Good) by having participants rapidly classify stimuli that represent the categories and attributes of interest on a computer. [3]