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Connotation analysis of vocational literacy of higher vocational students in modern service industry based on MOA model


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In order to cope with the challenges of the rapid development of the information society and economy, the educational reform aiming at students’ development of vocational literacy in higher vocational education has become a basic consensus in the field of global education. Based on MOA theory, this paper constructs the research hypotheses on the influencing factors of vocational literacy of higher vocational students in the modern service industry from the dimensions of motivation, opportunity and ability. Multiple linear regression theory is introduced to analyze the influencing factors of vocational literacy of higher vocational students in the modern service industry, and the regression coefficients are estimated by penalized quantile regression. In order to verify the application validity of the research hypotheses and regression model constructed based on MOA theory in this paper, an empirical analysis was carried out by using the data in the way of a questionnaire survey. The results show that the factor loading values of each variable of the model are higher than the critical value of 0.6, and most of the factor loading values are above 0.8. The correlation coefficients between vocational literacy and the dimensions of the influencing factors are all in the range of 0.2-0.5, and the adjusted R2 results of the model of motivation, opportunity as well and competence exceed 65% of the degree of explanation. The connotation of vocational literacy for higher vocational students of the modern service industry under the MOA theory needs to deeply excavate their motivation for learning and pay attention to the construction of the internal and external environments as a way of improving the learning ability of the students.

eISSN:
2444-8656
Język:
Angielski
Częstotliwość wydawania:
Volume Open
Dziedziny czasopisma:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics