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Text expanders share common features with the “auto-complete” feature that is included in most word processors. Quite astonished, I became convinced of the utility of these programs to educators and researchers and decided to write a review article here. Using text expander software, was the solution to reducing 10 hours of repetitive work to 2 hours. After entering a variety of pre-determined comments into the text expander, all that was necessary was to press a few keys and I was able to provide plenty of feedback for each student within a minute. Frustrated with having to type similar comments repeatedly for the majority of students, I began experimenting with text expander applications. Part of my work as a college teacher required me to grade and provide written feedback on more than 140 student writing assignments each week. Taking a new work assignment in early 2015 caused me “to see the light”. Although Andus highly recommended the use of a text expander, for some reason I never warmed to the idea and ploughed through my PhD research and dissertation without ever trying one.
#Phraseexpress trailing space software#
Indeed, Andus has an admirable obsession with software tools for research and it was on his site that I first learned about text expander tools. While reading the helpful posts at ( ), I came across the website of another PhD candidate ( ) which discussed the various software tools he employed for both organizing data and for clarifying the threads of thought and relationship among ideas. In order to assist with this work, I began seeking out other researchers who were using various types of computer software to manage data. For some reason, didn’t give this much thought despite the fact that much of my work indeed did involve repetitive tasks.ĭuring my PhD studies, I spent a great deal of time organizing field notes and writing my PhD dissertation. More than 2 years ago, I had heard about how using text expander software can improve one’s work efficiency by reducing reducing repetitive typing tasks during an average workday.
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Rural Meihuaquan Traditions- Old martial art brings new spirit to rural China 乡村传统- 古老武术令中国农村焕发生机.GroundUP and Sustainable Communities in North China.to correct mixed letters at the end of a word. The autotext example 'eth' is only recognized in the end of a word such as ' B eth' but ignored within ' m ethane' or in the beginning of ' Ethan'. to correct mixed letters at the beginning of a word only. The autotext example 'eth' is only recognized in the beginning of a word such as ' Ethan' but ignored within ' m ethane' or ' B eth'. Careful use is of this option is recommended as such autotext may be recognized inadvertently. to correct mixed letters at any position of a word. in ' Ethan', within ' m ethane' and in the end of the word ' B eth'. The autotext example 'eth' is recognized everywhere, e.g. This is the default setting and recommended for most purposes. It is ignored in ' Ethan', within ' m ethane' and in the end of the word ' B eth'. Example prefix/postfix settings:Īn autotext such as 'eth' is only recognized when entered as a separate word. Instead use #13 for ENTER and #9 for the TAB-key. You cannot enter the ENTER- or TAB-key here. Any separator, such as a comma or space, would itself be interpreted as a delimiter. Simply enter them one after another without any separator. If you select this option, an input dialog allows you to define a custom set of delimiters.ĭo not separate the characters with any other characters. The autotext must follow/be followed by any letter from a-z/A-Z or number 0-9
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The autotext must follow/be followed by the ENTER / SPACE / TAB-key. The autotext must follow/be followed by the default characters as defined as "default leading/trailing delimiters" (as defined in the expert options). There is any character required before/after the autotext. An autotext is recognized immediately after entering the last character of the autotext. There is no character required following the autotext.