INTERNATIONAL JOURNAL OF RESEARCH AND INNOVATION IN SOCIAL SCIENCE (IJRISS)
ISSN No. 2454-6186 | DOI: 10.47772/IJRISS | Volume IX Issue X October 2025
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From Emotion to Action: The Impact of Teachers’ Affective
Attitudes on Intercultural Classroom Engagement
1
Hu Fen,
2
*
Chun Keat Yeap,
3
Kuldip Kaur Maktiar Singh,
4
Irene Yoke Chu Leong
1
Academy of Language Studies, Universiti Teknologi MARA Melaka, Campus Alor Gajah, Malaysia,
International Education College Jiangxi University of Engineering, Xinyu, China
2
Academy of Language Studies, Universiti Teknologi MARA Melaka, Campus Alor Gajah, Malaysia
3
Academy of Language Studies, Universiti Teknologi MARA Melaka, Campus Alor Gajah, Malaysia
4
Academy of Language Studies, Universiti Teknologi MARA, City Campus, Melaka, Malaysia
*Corresponding Author
DOI: https://dx.doi.org/10.47772/IJRISS.2025.910000485
Received: 24 October 2025; Accepted: 30 October 2025; Published: 17 November 2025
ABSTRACT
This study examines how teachers’ affective attitudes toward non-Chinese students relate to their evaluations of
learning outcomes, teaching engagement, and perceptions of learning difficulties in intercultural classrooms.
Based on 196 valid questionnaires from Chinese primary school teachers in Selangor, Malaysia, the study adopts
a quantitative cross-sectional design using descriptive and inferential analyses. Results show that teachers
affective attitudes (like / dislike / neutral) are not significantly associated with their teaching engagement or
evaluations, indicating professional consistency beyond emotional preference. Background variables such as age,
qualification, and homeroom status show no moderating effects. However, affective attitudes are significantly
related to perceived learning difficulties (χ² = 30.7, p < .01, Cramér’s V = 0.280): teachers with positive attitudes
emphasize expressive and literacy challenges, while negative-attitude teachers focus on memory and
uncontrollable barriers. The findings suggest that affective attitudes influence teaching indirectly through
attributional perceptions rather than direct behavioral engagement.
Keywords: affective attitudes, teaching engagement, intercultural classroom, learning difficulties, teacher
perception
INTRODUCTION
Research Background and Significance
In recent years, increasing attention has been paid globally to how teachers’ emotions and attitudes in the
classroom influence both teaching effectiveness and students’ overall development. Research indicates that
teachers’ affective states—both positive and negative—directly shape classroom climate and students’ learning
experiences, thereby affecting instructional quality. For instance, Reference [2]found that “teachers’ joyful
emotions are positively correlated with teaching quality, whereas anger and anxiety are negatively correlated.
Similarly, Reference [10], through a newly developed assessment tool, revealed that when teachers express
negative emotions, students’ enjoyment and engagement in learning significantly decrease, highlighting the
crucial role of teacher emotions in shaping student learning attitudes.
Meanwhile, Culturally Responsive Teaching (CRT) has received growing recognition as an essential
pedagogical approach, with teachers’ intercultural attitudes serving as a core component. Reference [1] found
*
Corresponding author: Chun Keat Yeap, Universiti Teknologi MARA Campus Alor Gajah Melaka, Malaysia, Email: chunkeat@uitm.edu.my; orcid.org/0000-
0002-8106-4406
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that teachers who possess positive multicultural attitudes and strong perspective-taking abilities tend to
implement socially and culturally sensitive teaching more frequently, with a particularly pronounced effect in
culturally responsive practices.
Although prior studies have examined either “teachers’ emotions” or “multicultural attitudes,” few have
explored the behavioral mechanism linking teachers’ subjective affective attitudes (such as liking, disliking, or
neutrality) to their teaching engagement. In multicultural contexts, especially those involving non-Chinese
students, little empirical research has addressed how teachers’ emotional attitudes toward such students influence
their classroom behavior and level of instructional commitment.
Within research frameworks that often focus on students’ learning attitudes and achievements, teachers’
affective dispositions are frequently overlooked. This oversight is particularly salient in multilingual and
multiethnic educational settings such as Malaysia’s Chinese-language schools, where the proportion of non-
Chinese students continues to grow. Teachers’ emotional attitudes toward these students may have profound,
though underexplored, implications. Yet, no study has systematically investigated whether teachers’ subjective
preferences (e.g., “liking” or disliking” non-Chinese students) affect their teaching engagement, effort, and
evaluation of student performance.
To address this gap, the present study draws on 196 valid teacher questionnaire responses to examine how
teachersemotional attitudes translate into teaching behaviors—i.e., the emotion-to-action mechanism. It further
seeks to uncover the underlying pathways and potential moderating factors in this process.
Research Objectives
This study aims to:
Examine the relationship between teachers’ affective attitudes toward non-Chinese students (like / neutral /
dislike) and their evaluations of these students’ learning attitudes and learning outcomes;
Analyze whether teachers’ affective attitudes influence their level of teaching engagement, such as perceived
effort or teaching confidence;
Test whether teachersbackground variables (e.g., age, educational qualification, or homeroom teacher status)
play a moderating role in the relationship between affective attitudes and teaching engagement.
Through these investigations, the study seeks to uncover the practical impact of teacherssubjective emotional
attitudes in intercultural classroom teaching and to provide insights for teacher development and intercultural
education practices.
LITERATURE REVIEW
Teachers’ affective attitudes are widely recognized as a key factor shaping classroom climate and students’
learning experiences. Previous studies have shown that teachers’ attitudes toward students not only vary among
individuals but may also differ within the same teacher’s perceptions of different students in [13]. For instance,
reference[13] revealed that teachers’ attitudes are not always directly aligned with students’ academic
performance but are often reflected through classroom interactions and informal feedback. This suggests that the
mechanism through which teachers’ affective attitudes influence student performance is complex.
Reference [15] found that teachers’ negative attitudes and inappropriate instructional practices can lead to
decreased student motivation and even feelings of frustration. This finding implies that teachers’ attitudes may
indirectly affect learning outcomes by shaping students’ emotional states and motivation. Similarly, Reference
[10]reported that when teachers expressed more negative emotions, students’ enjoyment and engagement in
learning significantly declined. The impact was particularly pronounced when most teachers displayed
predominantly positive emotions, whereas a small number who exhibited negative emotions for as much as 80%
of class time caused noticeable harm to students’ classroom experiences.
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In an experimental study, reference [2] introduced an affective support teaching intervention, which included
positive classroom climate, teacher sensitivity, and respect for students’ perspectives. The results demonstrated
that students’ perceptions of teachers’ emotional support increased over time, fulfilling their basic psychological
needs (such as autonomy and relatedness), and consequently enhancing positive emotions (reduced anxiety,
increased enjoyment) and emotional engagement.
Culturally Responsive Teaching (CRT) emphasizes that teachers should integrate students’ cultural backgrounds
and experiences to enhance the relevance and effectiveness of instruction in[7]. Research has also shown that
teachers with positive multicultural attitudes and perspective-taking abilities tend to implement CRT more
frequently and with higher quality, thereby fostering student engagement and achievement. Reference [6]
explored the integration of SocialEmotional Learning (SEL) and CRT, suggesting that incorporating both
components in teacher education programs helps teachers develop emotional resilience, maintain psychological
well-being, and more effectively support culturally diverse students.
Through qualitative interview analysis, reference [13] revealed that teachers often perceive emotions as both a
resource and a burden: on the one hand, they use emotions to motivate teaching; on the other, emotional
dysregulation may lead to negative consequences, hindering both teacher and student development.
Teaching engagement, meanwhile, is an important indicator of the effort and energy teachers invest in the
instructional process. The meta-analysis by [8] showed that teaching engagement is more strongly related to
teachers self-efficacy, personality traits, and work stress rather than being determined solely by affective
attitudes. Similarly, reference[14], in developing the College Teacher Teaching Engagement Scale, pointed out
that teaching engagement is a multidimensional construct encompassing time, energy, and cognitive investment.
Overall, existing studies indicate that teachers’ expressed emotions have significant effects on students’ affect
and classroom engagement in [2]&[10]. Multicultural education research underscores the importance of teachers’
cultural attitudes; however, the role of teachers’ subjective affective preferences (e.g., “liking” or disliking”
non-Chinese students) remains underexplored. Moreover, emotions can serve as both a valuable teaching
resource and a potential burden in[13].
Hence, this study focuses on how teachers’ subjective affective attitudes (like / dislike / neutral) translate
into concrete teaching engagement behaviors, addressing the current gap in understanding the emotionbehavior
transformation mechanism within CRT and teacher emotion research.
Research Questions:
1. Are teachers’ affective attitudes toward non-Chinese students (like / dislike / neutral) related to their
evaluations of students’ learning attitudes and outcomes?
2. Do teachers’ affective attitudes influence their level of teaching engagement (e.g., worked hard and
achieved good results” vs. “worked hard but results were average”)?
3. Do teachers’ background variables (e.g., age, educational qualification, homeroom teacher status) moderate
the relationship between affective attitudes and teaching engagement?
4. Do teachers’ affective attitudes affect how they perceive and interpret students’ learning difficulties?
RESEARCH METHODOLOGY
Research Design
This study adopts a quantitative research design to statistically analyze questionnaire data collected from
teachers, aiming to examine the relationship between teachers’ affective attitudes and their classroom teaching
engagement. The study employs a cross-sectional survey research approach, integrating
both descriptive and inferential statistical methods to reveal the correlations and predictive relationships among
variables.
The choice of a quantitative approach is grounded in the study’s objectiveto test and validate the mechanism
through which teachers’ affective attitudes influence teaching engagement, rather than to explore individual case
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experiences. Therefore, statistical testing provides the necessary objectivity and replicability for empirical
verification in[5].
Participants and Sampling
The participants of this study were teachers from various Chinese primary schools in Selangor, Malaysia, who
have experience teaching non-Chinese students. A total of 196 valid questionnaires were collected, covering
demographic variables such as gender, age (below 30, 3040, 4150, and above 51), educational
qualification (secondary / diploma/bachelor’s / postgraduate), teaching level (Grades 12, 34, or 56),
and homeroom teacher status (yes/no).
A convenience sampling method was employed to ensure feasibility while securing a sufficient sample size for
statistical analysis, meeting the requirements for detecting medium effect sizes in[4]. The detailed demographic
distribution is presented in Table 1.
Table I Distribution of Teachers’ Demographic Information (N = 196)
Variable
Category
Frequency (n)
Gender
Male
14
Female
182
Age
Below 30
33
30-40
100
41-50
37
Above 51
26
Educational Qualification
Secondary/Teacher Training
44
Diploma
129
Bachelor’s Degree
22
Postgraduate
1
Homeroom Teacher
Yes
175
No
21
Teaching Level
Grades 1-2
30
Grades 3-4
50
Grades 5-6
99
Others
17
The sample consists predominantly of female teachers (92.9%), most of whom are aged between 30 and 40 years
(51.0%) and hold a diploma-level qualification (65.8%). A large majority serve as homeroom teachers (89.3%)
and teach upper primary levels (Grades 56).
Research Instrument
The research instrument used in this study was a self-designed and revised questionnaire titled “Teacher
Questionnaire on Teaching Chinese to Non-Chinese Students.” The questionnaire consisted of three sections:
1. Section I: Demographic Information including teachers’ gender, age, educational qualification, teaching
level, and homeroom teacher status.
2. Section II: Teaching Evaluation assessing teachers’ overall evaluation of non-Chinese students’ learning
attitudes, learning methods, and learning outcomes. A four-point Likert scale was used: Excellent, Good,
Fair, and Poor.
3. Section III: Learning Context and Affective Attitudes covering teachers’ affective attitudes toward non-
Chinese students (like, dislike, or neutral), difficulties encountered in teaching, and their self-perceived
teaching status (e.g., “worked very hard and achieved good results” or “worked very hard but results were
average”).
The questionnaire was reviewed by two experts in language education and one expert in psychology to
ensure the content validity of all items.
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Data Collection and Analysis
Data were collected through a combination of paper-based questionnaires and online forms over a two-week
period. The process strictly adhered to principles of anonymity and confidentiality, and participants were not
required to provide any personally identifiable information.After data collection, responses were organized and
imported into SPSS version 26.0 for statistical analysis. The following analytical methods were employed:
1. Descriptive Statistics to present the overall distribution of teachers’ demographic information and
affective attitudes;
2. Chi-square Test to examine the association between teachersaffective attitudes and their evaluation of
students’ learning outcomes;
3. Correlation and Multiple Regression Analyses to explore the predictive effect of teachers’ affective
attitudes on their teaching engagement, while controlling for variables such as gender, age, educational
qualification, and homeroom teacher status;
4. One-way ANOVA to test whether differences exist in affective attitudes and teaching engagement across
teachers with different background variables.All statistical tests were conducted at a significance level of p
< .05
FINDINGS
Distribution of Teachers’ Affective Attitudes
Table II Distribution of Teachers’ Affective Attitudes Toward Non-Chinese Students (N = 196)
Option
Frequency (n)
Percentage (%)
Like
89
45.4
Dislike
3
1.5
Neutral / Acceptable
106
54.1
Others
3
1.5
The majority of teachers reported a neutral or generally positive attitude toward non-Chinese students.
Specifically, 54.1% indicated a neutral (“acceptable”) stance, while 45.4% expressed that they liked teaching
non-Chinese students. Only a very small proportion (1.5%) reported a dislike, suggesting that overall teacher
affective attitudes in intercultural classrooms are largely positive.
Relationship Between Affective Attitudes and Student Learning Evaluation
Table III Cross-Tabulation of Teachers’ Affective Attitudes × Evaluation of Students’ Learning Outcomes
Evaluation of Students’ Learning Outcomes
Teachers’ Affective
Attitudes
χ²/p/φ
Excellent n (%)
Good n (%)
Fair n (%)
Poor n (%)
Total
Like
16.0/<.001/0.286
1(1.1)
12(13.5)
66(74.2)
10(11.2)
89
Dislike
4.4/0.187/0.15
0(0.0)
0(0.0)
1(33.3)
2(66.7)
3
Neutral
13.3/0.004/0.260
0(0.0)
2(1.9)
78(73.6)
26(24.5)
108
Others
1.13/0.770/0.0759
0(0.0)
0(0.0)
3(100)
0(0.0)
3
Total
1.90/0.929/0.0697
1
14
143
38
196
Significance: Chi-square test results show that teachers in the “Like” and “Neutral groups demonstrated
a significant association with their evaluation of students’ learning outcomes (p < .01), whereas
the Dislike” and Others groups did not reach significance.
Effect Size: Cramer’s V coefficients ranged between 0.2600.286, indicating a moderate effect size (where 0.1
≈ small effect, 0.3 ≈ medium, and 0.5 ≈ large effect).
Residual Analysis: Cells corresponding to Like × Good” and Neutral × Fair showed observed values
significantly higher than expected. This suggests that teachers with positive affective attitudes were more
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inclined to give students better evaluations, whereas those with neutral attitudes tended to rate students’ learning
Summary: Overall, the cross-tabulation analysis revealed no significant overall relationship between teachers’
affective attitudes and their evaluations of students’ learning outcomes (χ² = 1.90, p = .929, φ = 0.0697). However,
when examined by subgroup, a clear pattern emerged: teachers with “Like” attitudes were significantly more
likely to rate non-Chinese students as “Good”, while those with “Neutral attitudes were more likely to
assign Fair” or Poor” evaluations. Due to the small number of teachers in the “Dislike group (n = 3), no
statistically meaningful difference could be established for that category.
In sum, these findings suggest that teachers’ affective attitudes play a meaningful role in shaping how they
evaluate students’ learning performance, even if the overall statistical association is modest.
Relationship Between Affective Attitudes and Teaching Engagement
Table Ⅳ Cross-Tabulation of Teachers’ Affective Attitudes × Teaching Engagement Level
Teaching Engagement Level
Teachers’
Affective Attitudes
χ²/p/φ
Very Good
n(%)
Moderate
n(%)
Beginning to
Try n(%)
Casual n(%)
Total
Like
3.76/<0.289/0.138
35(18.3)
91(47.6)
57(29.8)
8(4.2)
191
Dislike
6.93/0.074/0.188
0(0.0)
1(25)
2(50)
1(25)
4
Neutral
5.32/0.150/0.165
0(5.7)
1(100.0)
0(0)
0(0)
1
Total
6.5/0.370/0.129
35(17.9)
93(47.7)
59(30.1)
9(4.6)
196
Percentages in parentheses represent row percentages. The original questionnaire contained five options for
teaching engagement, but one option was not selected by any respondent and is therefore omitted from the
table.The Pearson Chi-square test results indicate that the overall difference between teachers’ affective attitudes
and their level of teaching engagement was not statistically significant (χ²(6, N = 196) = 6.50, p = .370, φ = .129).
The effect size falls within the small-to-moderate range. Sample Size Consideration:The “Dislike” (n = 4) and
Neutral(n = 1) groups had extremely small sample sizes, so their results should be interpreted with caution.
Most teachers who reported a “Like” attitude toward non-Chinese students described themselves as working
hard but with average results” (47.6%), followed by working hard and achieving good results” (18.3%)
and “beginning to put in effort” (29.8%). This pattern suggests that while teachers generally demonstrated high
engagement levels, affective attitudes did not significantly predict differences in engagement intensity.
Overall, the cross-tabulation results indicate that although teachers tend to invest substantial effort in teaching,
their affective attitudes toward students did not significantly influence their self-perceived level of teaching
engagement.
Table Ⅴ Regression Analysis of Teachers’ Affective Attitudes on Teaching Engagement
Dependent Variable
B
SE
β
t
p
(Constant)
.519
.643
-
.807
.421
Teachers’ Affective Attitudes
.347
.279
.088
1.244
.215
Gender
.152
.220
.050
.692
.490
Age
.076
.065
.087
1.174
.242
Educational Qualification
.090
.099
.067
.910
.364
Teaching Grade Level
.098
.067
.106
1.466
.144
Homeroom Teacher Status
-.493
.184
-.194
-2.682
.008
Note. Statistical significance was determined at p < .05.
The results of the multiple regression analysis (see Table 5) indicate that the overall model had limited
explanatory power for teachers’ teaching engagement levels (R² = .062, adjusted = .032). The model
showed marginal significance (F(6, 189) = 2.065, p = .059).
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Among the predictor variables, only homeroom teacher status emerged as a significant predictor of teaching
engagement (B = –0.493, β = .194, t = 2.682, p = .008), suggesting that non-homeroom teachers exhibited
significantly higher levels of teaching engagement compared to their homeroom counterparts.
Other variablesincluding teachers’ affective attitudes (B = 0.347, β = .088, p = .215), gender (B = 0.152, β
= .050, p = .490), age (B = 0.076, β = .087, p = .242), educational qualification (B = 0.090, β = .067, p = .364),
and teaching grade level (B = 0.098, β = .106, p = .144) did not show significant predictive effects on teaching
engagement.
In summary, the regression results suggest that while the model only explains a small proportion of variance in
teaching engagement, the role of homeroom teachers may entail additional responsibilities that reduce their
perceived teaching investment, whereas affective attitudes and demographic variables do not significantly
account for variations in engagement levels.
Analysis of Differences Based on Background Variables
To examine whether teachers’ background characteristics influenced their affective attitudes and levels of
teaching engagement, a series of independent samples t-tests and one-way ANOVAs were conducted for gender,
age, educational qualification, teaching grade level, and homeroom teacher status.
Table Ⅵ Effects of Teachers’ Background Variables on Affective Attitudes
Background Variable
Category
M
SD
t/F
df
P
Effect Size
Gender(t-test)
Malen=14
1.0000
.0000
t=-.593
194
0.554
0.1644
Femalen=182
1.0330
.2076
Homeroom Teacher (t-test)
Yesn=175
1.0343
.2117
t=.741
194
0.460
0.1711
Non=21
1.0000
.0000
Age (ANOVA)
Below 30 (n=33)
1.0303
.17408
F=0.277
192
0.842
η²=.03
3040 (n=100)
1.0400
.24288
4150 (n=37)
1.0270
.16440
Above 51 (n=26)
1.0000
.0000
Educational Qualification
(ANOVA)
Secondary/Teacher
Training (n=44)
1.0000
.0000
F=.791
192
0.500
η²=.095
Diploma (n=129)
1.0465
.24560
Bachelor (n=22)
1.0000
.0000
Postgraduate (n=1)
1.0000
-
Teaching Grade
Level (ANOVA)
Grades 12 (n=30)
1.1000
.30513
F=1.743
192
0.160
η²=.207
Grades 34 (n=50)
1.0000
.0000
Grades 56 (n=99)
1.0303
.22381
Others (n=17)
1.0000
.0000
Note. M = mean, SD = standard deviation; t = independent-samples t-test value; F = one-way ANOVA value; d
= Cohen’s d; η² = Eta squared. p < .05 indicates statistical significance.
Independent-samples t-tests revealed no significant gender difference in affective attitudes (t(194) = 0.593, p
= .554, d = 0.16) and no significant difference between homeroom and non-homeroom teachers (t(194) = 0.741,
p = .460, d = 0.17).
Similarly, one-way ANOVA results showed no significant differences in affective attitudes across age
groups (F(3, 192) = 0.277, p = .842, η² = .03), educational qualifications (F(3, 192) = 0.791, p = .500, η² = .10),
or teaching grade levels(F(3, 192) = 1.743, p = .160, η² = .21). Although minor mean differences were
observedfor example, teachers of Grades 12 scored slightly higher in affective attitudes (M = 1.10)these
variations did not reach statistical significance.
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The analyses indicate that teachers’ gender, age, educational qualification, teaching grade level, and homeroom
teacher status did not significantly affect their affective attitudes toward non-Chinese students. These findings
suggest that teachers emotional attitudes are relatively independent of demographic and professional
background factors, reflecting a generally stable emotional orientation in intercultural teaching contexts.
Table Ⅶ Effects of Teachers’ Background Variables on Teaching Engagement Levels
Background Variable
Category
M
SD
t/F
df
P
Effect Size
Gender(t-test)
Malen=14
1.0000
.87706
t=-.593
194
0.554
-0.0628
Femalen=182
1.2308
.78066
Homeroom Teacher (t-test)
Yesn=175
1.2629
.78017
t=2.526
194
0.012
0.0363
Non=21
.8095
.74960
Age (ANOVA)
Below 30 (n=33)
1.1515
.87039
F=0.412
192
0.745
η²=0.774
3040 (n=100)
1.1800
.75719
4150 (n=37)
1.3243
.85160
Above 51 (n=26)
1.2692
.72430
Educational
Qualification (ANOVA)
Secondary / Teacher
Training (n=44)
1.1591
.71343
F=.143
192
0.934
η²=.269
Diploma (n=129)
1.2248
.80273
Bachelor (n=22)
1.2727
.88273
Postgraduate (n=1)
1.0000
-
Teaching Grade
Level (ANOVA)
Grades12 (n=30)
1.2667
.86834
F=1.446
192
.231
η²=2.673
Grades 34 (n=50)
1.0800
.77828
Grades 56 (n=99)
1.2121
.77292
Others (n=17)
1.5294
.71743
Note. M = mean, SD = standard deviation; t = independent-samples t-test value; F = one-way ANOVA value; d
= Cohen’s d; η² = Eta squared. p < .05 indicates statistical significance.
The independent samples t-test results revealed that there was no significant difference in teaching engagement
levels between male and female teachers (t(194) = 0.593, p = .554, d = 0.06).
However, a significant difference was found between homeroom and non-homeroom teachers (t(194) = 2.526,
p = .012, d = 0.36). Specifically, homeroom teachers (M = 1.26, SD = 0.78) reported significantly higher levels
of teaching engagement than non-homeroom teachers (M = 0.81, SD = 0.75). This finding suggests that the
additional responsibilities associated with managing a class may enhance teachers’ perceived investment in
teaching activities.
The one-way ANOVA results showed no significant differences in teaching engagement across age
groups (F(3,192) = 0.412, p = .745, η² = .01), educational qualification levels (F(3,192) = 0.143, p = .934, η²
= .00), or teaching grade levels (F(3,192) = 1.446, p = .231, η² = .02). Although teachers who taught other
grades” recorded the highest mean engagement score (M = 1.53), the overall differences did not reach statistical
significance.
Among all background variables, only homeroom teacher status significantly influenced teaching engagement
levels. Gender, age, educational qualification, and teaching grade level showed no significant impact. This
suggests that administrative and pastoral responsibilities associated with being a homeroom teacher may
increase teachers’ perceived engagement in instructional tasks.
Affective Attitudes and Perceived Teaching Difficulties
Teachers generally reported that non-Chinese students in Chinese language learning face several key
challenges: difficulty understanding teachers’ explanations, inability to express themselves, reading and writing
difficulties, limited collaboration skills, memory retention problems, and fast forgetting rates.
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Table Cross-Tabulation of Teachers’ Affective Attitudes × Perceived Learning Difficulties (N = 196)
Teachers’
Affective
Attitudes
Perceived Learning Difficulties
Cannot
Understand n
(%)
Cannot
Express n
(%)
Reading
Difficulty n
(%)
Poor
Collaboration n
(%)
Forget
Easily n (%)
Others n
(%)
Total n (%)
Like
1
65
64
31
29
1
191
0.5
34.0
33.5
16.2
15.2
0.5
100.0
Dislike
0
0
2
0
1
1
4
0.0
0.0
50.0
0.0
25.0
25.0
100.0
Neutral
0
0
0
1
0
0
1
0.0
0.0
0.0
100.0
0.0
0.0
100.0
Total
1
65
66
32
30
2
196
0.5
33.2
33.7
16.3
15.3
1.0
100.0
Note. χ² = 30.7, df = 1, p < .01; Cramér’s V = 0.280 (medium effect size).
shown in Table 8, there is a significant association between teachers’ affective attitudes and their perceptions of
non-Chinese students’ learning difficulties (χ² = 30.7, df = 1, p < .01; Cramér’s V = 0.280), indicating a moderate
effect size.
Overall, teachers most frequently identified “inability to express” (33.2%) and reading difficulties” (33.7%) as
the main challenges faced by students, followed by “poor collaboration” (16.3%) and “forgetting easily”
(15.3%).
When analyzed by affective attitude group: Teachers with a “Like” attitude emphasized expressive difficulties
(34.0%) and reading problems (33.5%), reflecting a more constructive and improvement-oriented perception of
students’ challenges. Teachers with a “Dislike” attitude focused more on reading difficulties
(50.0%) and forgetting easily / other issues (25.0% each), indicating a tendency to attribute students’ struggles
to more persistent or less controllable obstacles.
These results suggest that teachers’ affective attitudes not only influence how they evaluate student performance
but also shape how they interpret and attribute learning difficulties. Positive-attitude teachers are more likely to
focus on skill-based and remediable issues (e.g., expression, reading), while negative-attitude teachers tend to
perceive students’ difficulties as inherent or difficult to overcome. This finding underscores the emotional
lens through which teachers perceive student ability and classroom challenges in intercultural teaching contexts.
DISCUSSION
This study found no significant correlation between teachers’ affective attitudes toward non-Chinese students
(like / dislike / neutral) and their evaluations of students’ learning attitudes and outcomes. This result suggests
that teachers emotional preferences do not directly translate into their academic evaluations of students.
Similarly, reference [12] noted that teachersattitudes toward different students vary both across and within
individuals, but such differences may not necessarily appear in grades or formal assessments; rather, they tend
to manifest in informal interactions and classroom climate. Accordingly, this study aligns with previous literature
in suggesting that teachersevaluations are more strongly constrained by institutional and professional norms
than by personal emotions.
The findings also revealed that teachers’ affective attitudes did not significantly predict their level of teaching
engagement. In other words, even teachers who hold neutral or negative attitudes toward non-Chinese students
maintained a consistent level of professional investment in teaching. This finding echoes the work of [14], who
reported that university teachers’ teaching engagement is largely driven by institutional and professional
expectations rather than by affective preferences. Likewise, reference [8] meta-analysis emphasized that
teaching engagement is more closely associated with psychological factors such as self-efficacy and work stress,
INTERNATIONAL JOURNAL OF RESEARCH AND INNOVATION IN SOCIAL SCIENCE (IJRISS)
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rather than with simple emotions or attitudes. This indicates that teachers’ professionalism may serve as
a buffering mechanism, reducing the influence of affective attitudes on their instructional commitment.
Further analysis examined whether background variables such as age, educational qualification, and homeroom
teacher status moderated the relationship between affective attitudes and teaching engagement, but none of these
effects were significant. This finding corresponds with [9], who grouped teachers according to their attitudes
toward differentiated instruction and found that while attitudes varied, teaching performance did not consistently
differ across attitude types. This suggests that teachers’ personal backgrounds and attitudinal profiles cannot be
used as straightforward predictors of their teaching engagement patterns.
Although teachers’ affective attitudes were not significantly related to teaching engagement or learning
evaluations, they showed a notable association with perceived teaching difficulties. The present study revealed
that teachers with positive affective attitudes were more attentive to students’ expressive and literacy-related
challenges, whereas those with negative attitudes tended to focus on issues such as forgetting and uncontrollable
learning barriers. Reference [15] likewise observed that teachers’ negative affective orientations may reinforce
students’ sense of helplessness through negative attributions, thereby undermining their learning motivation.
This finding suggests that the influence of affective attitudes may not manifest directly through teaching
engagement, but rather indirectly by shaping how teachers perceive and attribute students’ learning difficulties
ultimately affecting instructional quality.
Nevertheless, the cross-sectional design of this study limits its ability to establish causal relationships or trace
how teachers’ affective attitudes evolve over time. While a longitudinal design would provide stronger evidence
of the dynamic interplay between affective attitudes and attributional perceptions, such an approach was not
feasible due to time and resource constraints. Future research could adopt longitudinal or mixed-method designs,
incorporating classroom observations and interviews, to investigate how affective attitudes and attributional
tendencies develop over time and influence long-term teaching practices as well as student learning outcomes.
CONCLUSION
Based on 196 questionnaires collected from teachers in ten Chinese primary schools in Selangor, this study
examined the relationships among teachers’ affective attitudes toward non-Chinese students, their evaluations
of students’ learning outcomes, teaching engagement levels, and perceptions of learning difficulties, while also
testing the moderating effects of age, educational qualification, and homeroom teacher status.
The results revealed no significant relationship between teachers’ affective attitudes and their evaluations of
students’ learning outcomes or teaching engagement levels, indicating that teachers maintained objectivity and
stability in their professional evaluations and commitment, independent of personal emotions. Background
variables likewise showed no significant moderating effects on the relationship between affective attitudes and
teaching engagement. Notably, teachers’ affective attitudes were significantly associated with their perceptions
of students’ learning difficulties (χ² = 30.7, p < .01, Cramér’s V = 0.280): teachers with positive attitudes focused
more on improvable challenges such as expression and literacy, while those with negative attitudes tended to
attribute learning problems to less manageable factors such as memory and forgetting. These findings suggest
that while affective attitudes do not directly affect teaching engagement or evaluation, they may indirectly
influence teaching practices through differing attribution patterns regarding students’ learning difficulties.
Overall, this study offers new empirical evidence on teachers’ affective attitudes within intercultural education
contexts, suggesting that their influence operates primarily through teachers’ cognitive interpretations of students’
learning difficulties rather than through direct effects on engagement or assessment. From a practical standpoint,
the findings underscore the importance of teacher training programs that cultivate positive attributional styles
and prevent emotional preferences from lowering expectations of students’ potential. Furthermore, educational
administrators should monitor the workload of homeroom teachers and provide structural support to maintain
their teaching engagement.
Despite certain methodological limitationsnamely the cross-sectional design and reliance on self-reported
datathe present findings yield valuable insights for future research. Subsequent studies could adopt
INTERNATIONAL JOURNAL OF RESEARCH AND INNOVATION IN SOCIAL SCIENCE (IJRISS)
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longitudinal or classroom-based observational designs to examine the long-term dynamics of affective attitudes
and explore how teaching beliefs, self-efficacy, and school culture mediate or moderate the relationship between
emotion and behavior.
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