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Test Of Word Efficiency (TOWRE) was first developed and published by Joseph K Torgesen, Richard Wagner and Carl Rashotte in 1999. [1] After its popularity and acclamation, [3] its second revision version was published in 2012 which is known as Test of Word Efficiency second edition (TOWRE - 2).
Microsoft Word is a word processing program developed by Microsoft.It was first released on October 25, 1983, [11] under the name Multi-Tool Word for Xenix systems. [12] [13] [14] Subsequent versions were later written for several other platforms including: IBM PCs running DOS (1983), Apple Macintosh running the Classic Mac OS (1985), AT&T UNIX PC (1985), Atari ST (1988), OS/2 (1989 ...
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The term template, when used in the context of word processing software, refers to a sample document that has already some details in place; those can (that is added/completed, removed or changed, differently from a fill-in-the-blank of the approach as in a form) either by hand or through an automated iterative process, such as with a software assistant.
Therefore, there are no aggregate measures or composite scores for an examinee's performance. A vast majority of these tests are modified, pre-existing measures (e.g., the Trail Making Test); however, some of these measures are new indices of executive functions (e.g., Word Context Test).
STAR Reading, STAR Early Literacy and STAR Math are standardized, computer-adaptive assessments created by Renaissance Learning, Inc., for use in K–12 education.Each is a "Tier 2" assessment of a skill (reading practice, math practice, and early literacy, respectively that can be used any number of times due to item-bank technology.
Readability is the ease with which a reader can understand a written text.The concept exists in both natural language and programming languages though in different forms. In natural language, the readability of text depends on its content (the complexity of its vocabulary and syntax) and its presentation (such as typographic aspects that affect legibility, like font size, line height ...
It disregards word order (and thus most of syntax or grammar) but captures multiplicity. The bag-of-words model is commonly used in methods of document classification where, for example, the (frequency of) occurrence of each word is used as a feature for training a classifier. [1] It has also been used for computer vision. [2]