Page 30
www.rsisinternational.org
ILEIID 2025 | International Journal of Research and Innovation in Social Science (IJRISS)
ISSN: 2454-6186 | DOI: 10.47772/IJRISS
Special Issue | Volume IX Issue XXIV October 2025
The Effect of Learner Background on the Use of Metacognitive
Strategies in Mandarin and Arabic Learning
1
Chan Yann Sheng,
2
Chong Oi Leng*,
3
Gan Kiat Chien,
4
Lai Yuh Ying,
5
Irene Yoke Chu Leong
1, 2, 5
Academy of Language Studies, Universiti Teknologi MARA, Malacca Branch, Campus Bandaraya
Melaka
3, 4
Academy of Language Studies, Universiti Teknologi MARA, Malacca Branch, Campus Alor Gajah
Melaka
*Corresponding Author
DOI: https://doi.org/10.47772/IJRISS.2025.924ILEIID004
Received: 23 September 2025; Accepted: 30 September 2025; Published: 29 October 2025
ABSTRACT
This study examines the influence of learner background on the application of metacognitive learning methods
among undergraduate students in Mandarin and Arabic language courses. The Strategy Inventory for Language
Learning (SILL), a nine-item metacognitive questionnaire created by Oxford in 1990, was utilized to gather
data. Specifically, it investigates whether prior exposure to the target language (e.g., through kindergarten,
school, or tuition centres) influences learners’ engagement in metacognitive practices. A quantitative survey
was conducted among 137 undergraduates enrolled in Mandarin and Arabic courses in public university.
Independent Samples t-tests revealed no statistically significant differences in the use of metacognitive
strategies between learners with and without prior language exposure (p > .05 across all items). Descriptive
statistics, however, indicated clear preferences in strategy use. The most commonly employed strategies were
internally focused, such as reflecting on learning progress (M = 4.09), striving to become better learners (M =
4.04), and paying attention during conversations (M = 3.97). In contrast, externally oriented strategies such as
seeking conversation partners (M = 3.57) and planning study schedules (M = 3.62) were less frequently used.
These findings suggest that while learner background does not significantly impact metacognitive strategy use,
learners prefer reflective and self-regulatory approaches over socially interactive strategies. The study
highlights the importance of fostering interactive learning environments to balance metacognitive development
in language acquisition.
Keywords: metacognitive learning strategies, learner background, Mandarin, Arabic
INTRODUCTION
Background
Research on language learning techniques has drawn more interest in recent decades, especially in the field of
second language acquisition (SLA). Metacognitive methods, which encompass planning, monitoring, and
evaluating one’s learning, are often considered essential for successful language learning (O’Malley &
Chamot, 1990; Oxford, 1990). Learners who effectively employ metacognitive strategies are better able to
regulate their study habits, reflect on their progress, and adapt their approaches to improve learning outcomes.
Mandarin and Arabic, two languages with growing worldwide importance, provide unique challenges for
students due to their various linguistic traits and cultural settings. In multilingual settings such as Malaysia,
where students often have prior exposure to multiple languages, it is important to understand how learners
approach these languages strategically. However, while previous studies have explored strategy use in common
second languages such as English, there has been relatively limited research on strategy use in Mandarin and
Arabic, particularly at the undergraduate level.
Page 31
www.rsisinternational.org
ILEIID 2025 | International Journal of Research and Innovation in Social Science (IJRISS)
ISSN: 2454-6186 | DOI: 10.47772/IJRISS
Special Issue | Volume IX Issue XXIV October 2025
Problem Statement
Although learner background such as early exposure to the target language might be expected to influence
strategy use, empirical evidence has been inconsistent. Some studies suggest that prior experience fosters more
advanced strategic awareness, while others indicate little to no difference once learners enter formal instruction
(Vandergrift & Goh, 2012). To date, there has been limited research examining whether prior exposure to
Mandarin or Arabic shapes learners’ adoption of metacognitive strategies in a higher education context.
Addressing this gap is crucial for both theory and pedagogy, as it can inform how language programs support
learners with diverse backgrounds.
Research questions
What is the overall level (mean scores) of metacognitive learning strategies used by undergraduates in
Mandarin and Arabic courses?
What are the preferred patterns of metacognitive learning strategies among undergraduates in Mandarin and
Arabic courses?
Are there significant differences in the use of metacognitive learning strategies between learners with and
without prior exposure to Mandarin and Arabic?
LITERATURE REVIEW
Research on language learning strategies (LLS) has played a key role in understanding how learners approach
the process of acquiring a new language. Early foundational studies (Rubin, 1975; Stern, 1983) emphasized the
behaviors of “good language learners,” leading to the development of formal strategy taxonomies. Oxford’s
(1990) Strategy Inventory for Language Learning (SILL) remains one of the most widely used instruments,
classifying strategies into six categories: cognitive, metacognitive, memory, compensation, affective, and
social. Among these, metacognitive strategies are considered particularly influential because they enable
learners to regulate their learning processes by planning, monitoring, and evaluating progress (O’Malley &
Chamot, 1990).
Metacognitive strategies include planning study activities, monitoring comprehension, and reflecting on
learning outcomes (Anderson, 2002). Students that utilize these tactics tend to be more independent and
proficient in self-directed learning. Previous research has shown that metacognitive awareness enhances
performance in listening (Vandergrift, 2005), reading (Zhang & Wu, 2009), and speaking (Goh, 1998).
Moreover, metacognitive strategy use has been linked to improved learner motivation, autonomy and
persistence (Wenden, 1998). Although significant, research indicates that learners often fail to utilize these
tactics systematically, necessitating formal instruction to promote their application (Chamot, 2005).
While the majority of LLS research has focused on English as a Second Language (ESL), studies on Mandarin
and Arabic have gradually increased. Research in Mandarin learning contexts (Gao, 2006; Raoofi, 2012)
indicates that learners frequently depend on memorization strategies but increasingly benefit from
metacognitive practices such as goal-setting and reflection. Similarly, studies in Arabic learning contexts (Al-
Buainain, 2010; Khaldieh, 2000) highlight challenges due to diglossia and orthographic complexity, with
learners turning to metacognitive strategies to monitor progress and overcome difficulties. The findings
indicate that metacognitive methods may provide a compensatory role when linguistic complexity increases.
Page 32
www.rsisinternational.org
ILEIID 2025 | International Journal of Research and Innovation in Social Science (IJRISS)
ISSN: 2454-6186 | DOI: 10.47772/IJRISS
Special Issue | Volume IX Issue XXIV October 2025
Learner background, especially previous exposure to the target language, has been suggested as a factor
influencing strategy use. Certain research contend that early exposure augments metacognitive awareness and
promotes more effective plan implementation (Victori & Lockhart, 1995). For instance, Vandergrift (2005)
reported that learners with more exposure demonstrated greater use of planning and monitoring strategies.
Nevertheless, other studies (Griffiths, 2003; Peacock & Ho, 2003) revealed no significant differences,
indicating that the use of strategies may be more reliant on current learning contexts and instructional practices
than on past exposure. However, newer studies on Mandarin learners provide updated insights. For instance,
Boon (2023) and Gan et al. (2022) highlight how learner background and learning mode (face-to-face vs.
online) can influence the strategies adopted, underscoring the need to consider contemporary educational
settings when analysing strategy use. This mixed evidence highlights the need to investigate whether prior
language exposure influences strategy utilization in understudied languages like Mandarin and Arabic.
METHODOLOGY
This study involved 137 undergraduate students who were enrolled in Mandarin and Arabic language courses
at a public university in Malaysia. Of these, 46 students reported having no prior exposure to the target
language, whereas 91 students reported having prior exposure (via kindergarten, primary/secondary school, or
tutoring centres). The sample size was deemed adequate for the use of independent samples t-tests, which
require reasonably balanced groups.
Data were collected using the metacognitive strategies subscale of Oxford’s (1990) Strategy Inventory for
Language Learning (SILL). The adapted questionnaire consisted of nine items designed to measure learners
use of reflective, self-regulatory, and interactive strategies in language learning. Responses were evaluated
using a five-point Likert scale (1 = strongly disagree, 5 = strongly agree).
The instrument has demonstrated reliability in diverse contexts (Green & Oxford, 1995). However, as a self-
report measure, it may introduce response bias. Data were analyzed using descriptive statistics and
independent samples t-tests. In addition, Cohens d was calculated to assess practical significance, and a post-
hoc power analysis was conducted to evaluate the adequacy of the sample size.
RESULTS AND DISCUSSION
This section provides the background information and analysis of the participants' experiences with the use of
metacognitive learning strategies by undergraduate students enrolled in Mandarin and Arabic language
departments. Oxford (1990) developed the Strategy Inventory for Language Learning (SILL), which is a
reliable instrument for evaluating metacognitive strategies due to its excellent internal consistency. Previous
research that has employed the SILL in a variety of language learning contexts is in line with this
dependability finding (Green & Oxford, 1995).
Reliability Test
A reliability analysis we conducted on the nine-item metacognitive strategy scale. The instrument showed great
internal consistency, with a Cronbach’s alpha of .916 (Table 1). Cronbach’s alpha values for the instruments in
table 1 are greater than 0.70. Therefore, the scale of all the items in this study can be considered as having high
reliability and validity.
Page 33
www.rsisinternational.org
ILEIID 2025 | International Journal of Research and Innovation in Social Science (IJRISS)
ISSN: 2454-6186 | DOI: 10.47772/IJRISS
Special Issue | Volume IX Issue XXIV October 2025
Table 2: Overall metacognitive learning strategies used by the Degree Students
Descriptive statistics showed that participants used more internally focused techniques than externally oriented
ones (see Table 2). The most frequently used strategies included thinking about learning progress (M = 4.09,
SD = 0.83), trying to become a better learner (M = 4.04, SD = 0.81), and paying attention when someone was
speaking (M = 3.97, SD = 0.85). In contrast, the least frequently used strategies were looking for people to
converse with (M = 3.57, SD = 0.94) and planning study schedules (M = 3.62, SD = 0.84).
Page 34
www.rsisinternational.org
ILEIID 2025 | International Journal of Research and Innovation in Social Science (IJRISS)
ISSN: 2454-6186 | DOI: 10.47772/IJRISS
Special Issue | Volume IX Issue XXIV October 2025
Table 3: Metacognitive Learning Strategies used by Degree students
Group Statistics
Q2. Do you learn
Mandarin/Arabic
before?
(Kindergarden,
primary school,
tuition centre,
college, university)
1 : No
2: Yes
N
Std.
Deviation
Std. Error
Mean
1. I try to find as many
ways as I can to use my
Mandarin/ Arabic.
1
46
3.61
.856
.126
2
91
3.58
.908
.095
2. I notice my
Mandarin/ Arabic
mistakes and use that
information to help me
do better.
1
46
3.76
.899
.133
2
91
4.00
.789
.083
3. I pay attention when
someone is speaking
Mandarin/ Arabic .
1
46
3.91
.890
.131
2
91
4.00
.830
.087
4. I try to find out how
to be a better learner of
Mandarin/ Arabic.
1
46
4.07
.904
.133
2
91
4.02
.760
.080
5. I plan my schedule so
I will have enough time
to study Mandarin/
Arabic.
1
46
3.48
.836
.123
2
91
3.69
.839
.088
6. I look for people I
can talk to in Mandarin/
Arabic.
1
46
3.67
.920
.136
2
91
3.52
.947
.099
7. I look for
opportunities to read as
much as possible in
Mandarin/ Arabic.
1
46
3.72
1.004
.148
2
91
3.81
.930
.097
8. I have clear goals for
improving my
Mandarin/ Arabic skills.
1
46
3.96
.868
.128
2
91
3.87
.872
.091
9. I think about my
progress in learning
Mandarin/ Arabic.
1
46
3.93
.929
.137
2
91
4.16
.764
.080
Page 35
www.rsisinternational.org
ILEIID 2025 | International Journal of Research and Innovation in Social Science (IJRISS)
ISSN: 2454-6186 | DOI: 10.47772/IJRISS
Special Issue | Volume IX Issue XXIV October 2025
Table 4: Independent T-Test for Equality of Means for Metacognitive Learning Strategy
Independent Samples t-tests revealed no statistically significant differences in metacognitive strategy use
between learners with and without prior exposure (all p > .05, Cohen’s d < 0.20). A post-hoc power analysis
indicated that while the study was adequately powered to detect medium effects, it may not have been
sufficient for small effects.
The findings indicated that learners, regardless of prior exposure, consistently preferred reflective and self-
regulatory strategies over socially interactive ones. This preference aligns with previous research showing that
students often prioritize self-directed regulationsuch as evaluating their progress and setting goalsrather
than seeking conversation partners (O’Malley & Chamot, 1990; Zhang & Goh, 2006).
Contrary to studies suggesting that early exposure enhances strategic awareness (e.g., Vandergrift, 2005), our
data showed no significant differences between groups. A possible explanation is that metacognitive strategies
are transferable across contexts, and learners without prior exposure may quickly acquire them once engaged
in structured university courses. This highlights the influence of institutional contexts in Malaysia, where
structured instruction, individual study, and examinations dominate, potentially leading to limited emphasis on
collaborative strategies.
CONCLUSION
This study demonstrates that background factors such as prior exposure are less decisive than current learning
contexts in shaping strategy use. The key implication is that educators should foster a balance between
reflective and interactive strategies, ensuring that learners not only monitor and evaluate their progress but also
engage actively with peers. Designing collaborative classroom tasks and integrating explicit strategy training
can help cultivate more versatile and independent learners.
Page 36
www.rsisinternational.org
ILEIID 2025 | International Journal of Research and Innovation in Social Science (IJRISS)
ISSN: 2454-6186 | DOI: 10.47772/IJRISS
Special Issue | Volume IX Issue XXIV October 2025
Future research should extend this work by using longitudinal designs, contrasting learners at different
proficiency levels, and examining cultural factors that shape metacognitive preferences. Employing
multivariate analyses that control for variables such as proficiency, age, and motivation would also deepen
understanding of strategy use in multilingual contexts. This would enrich our knowledge of how learners
confront the challenges of mastering complex languages like Mandarin and Arabic.
REFERENCES
1. Al-Buainain, H. (2010). Language learning strategies employed by English majors at Qatar University:
Questions and queries. Asian EFL Journal, 12(2), 115153.
2. Anderson, N. J. (2002). The role of metacognition in second language teaching and learning. ERIC Digest.
ERIC Clearinghouse on Languages and Linguistics. https://files.eric.ed.gov/fulltext/ED463659.pdf
3. Boon, E. S., Soo, Y. P., Lai, Y. Y., & Gan, K. C. (2023, September). Learning strategies of non-science and
science undergraduates in learning Mandarin. In International Conference of Research on Language
Education. European Proceedings of Educational Sciences, EpES, 23097, 659669.
https://doi.org/10.15405/epes.23097.59
4. Chamot, A. U. (2005). Language learning strategy instruction: Current issues and research. Annual
Review of Applied Linguistics, 25, 112130. https://doi.org/10.1017/S0267190505000061
5. Gan, K. C., Lai, Y. Y., Soo, Y.-P., Eng, S. B., & Yeap, C. K. (2022). Indirect Learning Strategies of
Mandarin as A Foreign Language Learners During Online Learning in COVID-19 Pandemic Period.
International Journal of Academic Research in Progressive Education and Development, 11(3), 1509
1519. https://doi.org/10.6007/ijarped/v11-i3/14992
6. Gao, X. (2006). Understanding changes in Chinese students’ uses of learning strategies in China and
Britain: A socio-cultural re-interpretation. System, 34(1), 5567.
https://doi.org/10.1016/j.system.2005.04.003
7. Goh, C. C. M. (1998). How ESL learners with different listening abilities use comprehension strategies
and tactics. Language Teaching Research, 2(2), 124147. https://doi.org/10.1177/136216889800200203
8. Green, J. M., & Oxford, R. L. (1995). A closer look at learning strategies, L2 proficiency, and gender.
TESOL Quarterly, 29(2), 261297. https://doi.org/10.2307/3587625
9. Griffiths, C. (2003). Patterns of language learning strategy use. System, 31(3), 367383.
https://doi.org/10.1016/S0346-251X(03)00048-4
10. Khaldieh, S. A. (2000). Learning strategies and writing processes of proficient vs. less-proficient learners
of Arabic as a foreign language. Foreign Language Annals, 33(5), 522533. https://doi.org/10.1111/j.1944-
9720.2000.tb01995.x
11. O’Malley, J. M., & Chamot, A. U. (1990). Learning strategies in second language acquisition. Cambridge
University Press, 99-100.
12. Oxford, R. L. (1990). Language learning strategies: What every teacher should know. Heinle & Heinle,
135-144.
13. Peacock, M., & Ho, B. (2003). Student language learning strategies across eight disciplines. International
Journal of Applied Linguistics, 13(2), 179200. https://doi.org/10.1111/1473-4192.00043
14. Raoofi, S., Chan, S. H., Mukundan, J., & Rashid, S. M. (2012). Metacognition and second/foreign
language learning. English Language Teaching, 5(7), 188197. https://doi.org/10.5539/elt.v5n7p188
15. Rubin, J. (1975). What the “good language learner” can teach us. TESOL Quarterly, 9(1), 4151.
https://doi.org/10.2307/3586011
16. Stern, H. H. (1983). Fundamental concepts of language teaching. Oxford: Oxford University Press, 405-
410.
17. Vandergrift, L. (2005). Relationships among motivation orientations, metacognitive awareness and
proficiency in L2 listening. Applied Linguistics, 26(1), 7089. https://doi.org/10.1093/applin/amh039
18. Vandergrift, L., & Goh, C. C. M. (2012). Teaching and learning second language listening: Metacognition
in action, Routledge, 28-29.
19. Victori, M., & Lockhart, W. (1995). Enhancing metacognition in self-directed language learning. System,
23(2), 223234. https://doi.org/10.1016/0346-251X(95)00010-H
Page 37
www.rsisinternational.org
ILEIID 2025 | International Journal of Research and Innovation in Social Science (IJRISS)
ISSN: 2454-6186 | DOI: 10.47772/IJRISS
Special Issue | Volume IX Issue XXIV October 2025
20. Wenden, A. L. (1998). Metacognitive knowledge and language learning. Applied Linguistics, 19(4), 515
537. https://doi.org/10.1093/applin/19.4.515
21. Zhang, D., & Goh, C. C. M. (2006). Strategy Knowledge and Perceived Strategy Use: Singaporean
Students’ Awareness of Listening and Speaking Strategies. Language Awareness, 15(3), 199-219.
22. Zhang, L. J., & Wu, A. (2009). Chinese senior high school EFL students metacognitive awareness and
reading-strategy use. Reading in a Foreign Language, 21(1), 3759.