Motivation to Learn and its Relationship to Academic Achievement among Students of basic Arabic Schools in China

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Abdo Hasan AL-Qadri 1,* Zhao Wei 1

1. School of Education- Shaanxi Normal University, Xi'an 710062, P.R. China

* Corresponding author.


Received: 29 Dec. 2018 / Revised: 10 Jan. 2019 / Accepted: 20 Jan. 2019 / Published: 8 Apr. 2019

Index Terms

Academic achievement, motivation to learn, relationship, correlation


This correlational study examined the effects of motivation in the process of learning and its connections to the academic achievement of the students who study at the Basic Arabic Schools in China. The designed tool, which is a questionnaire, consists of 40 items and had been processed by statistical analysis to contrived psychometric properties and it had been achieved through validity and reliability. The study acknowledged the cumulative scores of academic achievement of students for the last academic year, which was considered as one of the variables of the current study and compared to motivation to learn in the questionnaire sample of 30 students as well as the sample of the final study which covered all 242 students in the basic Arabic schools of the 7th, 8th and 9th Grades. The study found that there was a significant correlation between motivation to learn and academic achievement of students. It was proved through correlation and regression analysis that there was a positive relationship between motivation and academic achievement and the ability to predict the academic achievement through motivation. It had been found that the most motivated students are the ones who achieve higher academic performance. There were significant differences in motivation according to the gender in which females scored the highest means. Besides, no significant differences found in grade variables.

Cite This Paper

Abdo Hasan AL-Qadri, Zhao Wei, "Motivation to Learn and its Relationship to Academic Achievement among Students of basic Arabic Schools in China", International Journal of Modern Education and Computer Science(IJMECS), Vol.11, No.4, pp. 1-12, 2019.DOI: 10.5815/ijmecs.2019.04.01


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