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Full-Text Articles in Education
Teacher Recruitment: Factors That Predict High School Students’ Willingness To Become Teachers, Steve Christensen, Randall Davies, Scott Harris, Joseph Hanks, Byran Bowles
Teacher Recruitment: Factors That Predict High School Students’ Willingness To Become Teachers, Steve Christensen, Randall Davies, Scott Harris, Joseph Hanks, Byran Bowles
Faculty Publications
This study examines factors that influence high school students’ willingness to consider teaching as a career. Using predictive modeling, we identified five factors that are highly predictive of a students’ willingness to consider teaching and their belief that teaching is their best career option. Results indicated that high school students were more likely to consider teaching when they had confidence in their ability to be good teachers, when family members and others encouraged them to become teachers, and when they felt their community supported teachers. Most of those who considered teaching thought of themselves as average students. Less impactful factors …
Pre-Service Teacher's Perceptions Of Technology Integration In Their Future Classrooms, Mckenzie Scoffield, Jennifer Wimmer
Pre-Service Teacher's Perceptions Of Technology Integration In Their Future Classrooms, Mckenzie Scoffield, Jennifer Wimmer
Journal of Undergraduate Research
Due to the increase in technology in schools, teachers are required to understand how to use the technology, and how to integrate curriculum with it. Technology is incredibly diverse and holds limitless possibilities to the new design of innovative learning. It is also becoming increasingly more common in classrooms through interactive whiteboards, computers, projectors, IPADS, chrome books, etc (Carr and Martin, 2015). However, most in-service teachers say that in order to incorporate this technology into their classrooms, they need to be well versed in how to combine technology with their curriculum (Kara and Cagiltay, 2017). The purpose of this quantitative …
Exploring Fit For Nonlinear Structural Equation Models, Phillip Isaac Pfleger
Exploring Fit For Nonlinear Structural Equation Models, Phillip Isaac Pfleger
Theses and Dissertations
Fit indices and fit measures commonly used to determine the accuracy and desirability of structural equation models are expected to be insensitive to nonlinearity in the data. This includes measures as ubiquitous as the CFI, TLI, RMSEA, SRMR, AIC, and BIC. Despite this, some software will report these measures when certain models are used. Consequently, some researchers may be led to use these fit measures without realizing the impropriety of the act. Alternative fit measures have been proposed, but these measures require further testing. As part of this thesis, a large simulation study was carried out to investigate alternative fit …