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Full-Text Articles in Science and Mathematics Education
A Methodology To Predict Community College Stem Student Retention And Completion, Jennifer Lynn Snyder
A Methodology To Predict Community College Stem Student Retention And Completion, Jennifer Lynn Snyder
Doctoral Dissertations
"Numerous government reports point to the multifaceted issues facing the country's capacity to increase the number of STEM majors, while also diversifying the workforce. Community colleges are uniquely positioned as integral partners in the higher education ecosystem. These institutions serve as an access point to opportunity for many students, especially underrepresented minorities and women. Community colleges should serve as a major pathway to students pursuing STEM degrees; however student retention and completion rates are dismally low. Therefore, there is a need to predict STEM student success and provide interventions when factors indicate potential failure. This enables educational institutions to better …
The Engineering Design Process As A Model For Stem Curriculum Design, Krystal Sno Corbett
The Engineering Design Process As A Model For Stem Curriculum Design, Krystal Sno Corbett
Doctoral Dissertations
Engaging pedagogics have been proven to be effective in the promotion of deep learning for science, technology, engineering, and mathematics (STEM) students. In many cases, academic institutions have shown a desire to improve education by implementing more engaging techniques in the classroom. The research framework established in this dissertation has been governed by the axiom that students should obtain a deep understanding of fundamental topics while being motivated to learn through engaging techniques. This research lays a foundation for future analysis and modeling of the curriculum design process where specific educational research questions can be considered using standard techniques. Further, …