Association Model Of Work Value Orientation And Academic Achievement Of College Teachers Based On Deep Learning Algorithm

Abstract

In the rapidly evolving landscape of higher education, academic excellence is a goal that every college aspires to achieve. However, unraveling the intricacies of what drives excellence among college teachers has been a challenge for educators and administrators alike. Enter the Association Model of Work Value Orientation (AMWVO) and deep learning algorithms, a powerful combination that promises to shed light on the key factors that influence academic success. By understanding the AMWVO and leveraging the capabilities of deep learning algorithms, colleges can gain valuable insights into the work values of their teachers and the impact these values have on their teaching effectiveness. This groundbreaking approach not only has the potential to revolutionize the way colleges recruit and retain top talent but also to shape the future of higher education. Join us as we delve into the fascinating world of the AMWVO and deep learning algorithms, uncovering the secrets to unlocking academic excellence in college teachers. A research study aims to explore the relationship between work value orientation and academic achievement among college teachers using a deep learning algorithm.