2021 academic year served as the measurement index
for academic achievement, with gender as the
independent variable and mid-term English test
scores as the dependent variable. An independent
samples t-test was employed to analyze performance
differences and multivariate Pearson relationship was
used for analysis. Findings revealed that boys'
integrative motivation significantly positively
correlated with English achievement, while the
correlation between instrumental motivation and
achievement was weak. Girls' integrative motivation
positively correlated with their grades, but
instrumental motivation negatively correlated with
their grades. This suggests that integrative motivation
positively impacts student achievement, whereas
instrumental motivation has differential effects on
boys' and girls' achievement. In terms of motivation
intensity, there was a significant positive correlation
between boys' motivation intensity and their English
scores. Interviews also indicated that boys' scores
correlated with after-school learning time for several
boys said that the reason for their poor English scores
was that they spent too much time on non-English
subjects after class. For girls, motivation intensity
positively correlated with their grades, and their
English grades were directly proportional to their
after-class efforts, although some experienced exam
anxiety. These results indicate that motivation
intensity positively affects both male and female
students' achievement, but its influence on boys'
achievement is more pronounced than on girls'.
However, this study's sample was limited to one
middle school, potentially affecting generalizability.
Future research should include multiple schools to
enhance persuasiveness. Additionally, using mid-
term test scores alone to measure language ability and
the absence of oral tests limit the comprehensiveness
of the findings. Moreover, motivation is influenced
by various factors such as personal background,
emotional factors, and attitudes, which need further
exploration in future studies.
There are many different ways to divide learning
motivation. Zhu examined 355 sophomore students at
a middle school in Zhangzhou City, including 175
males and 180 females (Zhu, 2023). Sophomores
were chosen because they have adapted to high
school learning, possess a certain understanding of
their own motivation and involvement in English
learning, and exhibit relatively stable motivation and
learning engagement levels. The study used Bao's
high school students' learning motivation
questionnaire, divided into five dimensions: learning
value, effort level, external need, learning situation,
and intrinsic interest (Bao, 2005). Each dimension
was scored on a five-point Likert scale, with higher
scores indicating stronger motivation. English scores
were obtained from the school's integrated
educational administration system, averaging
October's second monthly examination and
November's mid-term examination scores. Results
showed a significant positive correlation between
English learning motivation and English scores, with
all five sub-dimensions significantly positively
correlated with English scores. Learning situation
motivation had the highest positive correlation, while
intrinsic interest motivation had the lowest. For high
school students, the learning environment is
extremely important. For example, in a learning
situation where teachers and classmates communicate
in English in teaching and daily life, students are
more willing to join the team of daily English
communication, which will naturally increase their
interest and motivation in learning English.
Gao investigated undergraduate students from 53
majors at a university in Guangdong, selecting one
class per major and grade (totaling 285 classes,
including specialized classes), with a total of 6648
students participating (Gao, 2020). After data
collection, the valid sample comprised 6600
participants (4211 males and 2389 females). A self-
designed learning motivation questionnaire included
five dimensions: autonomous need, goal pursuit,
social orientation, effectiveness expectation, and
factor induction, totaling 30 items scored on a four-
point Likert scale. Final examination scores were
used as the record content, obtained from the school's
comprehensive educational administration
management system. The average score of the class
with the lowest average score is taken as the
benchmark value, and the average score of other
classes is subtracted from the benchmark value to
obtain the adjusted value of each class; The
adjustment value is used to adjust the grades of each
student, so that individual academic results are
comparable. Findings indicated that contemporary
college students' learning motivation positively
impacted academic performance, but it was not the
sole determinant. Other intellectual and non-
intellectual factors also influenced academic
outcomes.
Wang, Zhu, and Gao explored the relationship
between learning motivation and academic
achievement among junior high school, senior high
school, and college students, respectively (Wang,
2022, Zhu, 2023, Gao, 2020). These studies share
limitations of single-sample bias and incomplete
performance measurement. Future research should
improve methodologies, expand sample sizes, and