In addition to the usage in testing, cloze deletion can be used in learning, particularly
language learning, but also learning facts. This may be done manually – for example, by covering sections of a text with paper, or highlighting sections of text with a highlighter, then covering the line with a colored ruler in the complementary color (say, a red ruler for a green highlighter) so the highlighted text disappears; this is popular in Japan, for instance. Cloze deletion can also be used as part of
spaced repetition software. For example the
SuperMemo and
Anki applications feature semi-automated creation of cloze tests. Programming software to accept all synonyms of a word as valid correct answers to a cloze test is a challenge, as all potential synonyms must be considered. An important concept that applies during the automatic creation of cloze tests by software is word clozability. Word clozability is defined as: "How often do participants who know this word guess it correctly when it is clozed in a sentence that they haven't seen before?" Words that have a large amount of synonyms will have a low word clozability score as the likelihood that the given word will be guessed correctly is reduced. Words that are specific and have a low amount of synonyms will have a high clozability score. Cloze deletion can also be applied to a
graphic organizer, wherein a diagram, map, grid, or image is presented and contextual clues must be used to fill in some labels. In particular, when learning an image-heavy subject, such as anatomy, a user of
Anki may employ an
image occlusion to occlude parts of an image. == Comparison to other testing methodologies ==