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Predictive text is an input technology used where one key or button represents many letters, such as on the physical numeric keypads of mobile phones and in accessibility technologies. Each key press results in a prediction rather than repeatedly sequencing through the same group of "letters" it represents, in the same, invariable order.
T9 (predictive text) Logo of T9. T9 is a predictive text technology for mobile phones (specifically those that contain a 3×4 numeric keypad), originally developed by Tegic Communications, now part of Nuance Communications. T9 stands for Text on 9 keys.[1] T9 was used on phones from Verizon, NEC, Nokia, Samsung Electronics, Siemens, Sony Mobile ...
DIBELS. DIBELS (Dynamic Indicators of Basic Early Literacy Skills) is a series of short tests designed to evaluate key literacy skills among students in kindergarten through 8th grade, such as phonemic awareness, alphabetic principle, accuracy, fluency, and comprehension. The theory behind DIBELS is that giving students a number of quick tests ...
The Miller Analogies Test (MAT) was a standardized test used both for graduate school admissions in the United States and entrance to high I.Q. societies. Created and published by Harcourt Assessment (now a division of Pearson Education), the MAT consisted of 120 questions in 60 minutes (an earlier iteration was 100 questions in 50 minutes).
Autocomplete. Autocomplete, or word completion, is a feature in which an application predicts the rest of a word a user is typing. In Android and iOS [1] smartphones, this is called predictive text. In graphical user interfaces, users can typically press the tab key to accept a suggestion or the down arrow key to accept one of several.
Modern Language Aptitude Test. The Modern Language Aptitude Test (MLAT) was designed to predict a student's likelihood of success and ease in learning a foreign language. It is published by the Language Learning and Testing Foundation. The Modern Language Aptitude Test was developed to measure foreign language learning aptitude.
Accelerated Reader (AR) is an educational program created by Renaissance Learning. It is designed to monitor and manage students' independent reading practice and comprehension in both English and Spanish. The program assesses students' performance through quizzes and tests based on the books they have read.
"The Flesch–Kincaid" (F–K) reading grade level was developed under contract to the U.S. Navy in 1975 by J. Peter Kincaid and his team. [1] Related U.S. Navy research directed by Kincaid delved into high-tech education (for example, the electronic authoring and delivery of technical information), [2] usefulness of the Flesch–Kincaid readability formula, [3] computer aids for editing tests ...