Research Article | | Peer-Reviewed

Multilingual Learner in Digital Age: Investigating the Effectiveness of E-learning in Language Acquisition and Academic Achievement

Received: 19 November 2025     Accepted: 5 December 2025     Published: 30 December 2025
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Abstract

This study investigates the effectiveness of e-learning in supporting language acquisition and academic performance among multilingual learners (MLs) in the digital age. As educational technology continues to evolve, e-learning platforms offer unique opportunities for personalised and accessible language instruction tailored to diverse linguistic backgrounds. It highlights the advantages of e-learning, including the accessibility of resources, personalised learning experiences, and the incorporation of multimedia elements that enhance engagement and comprehension. The study adopts descriptive design of the survey type. The sample size comprises 300 students and 50 teachers of English language randomly selected from five (5) grade A and five (5) grade B public and private junior secondary schools in Ekiti State, Southwest, Nigeria. The instrument used for the collection of data was a structured questionnaire titled “Questionnaire on Language Acquisition and Academic Performance among Multilingual Learners” (QLAAPMLL). The instrument was validated by experts. A reliability coefficient of 0.67 was obtained. The data collected were analysed using descriptive statistics. The result revealed a mean of 3.49 and a standard deviation of 1.37, the responses show that many students experience a sense of disconnection during online learning, valuing the social component of in-person interactions. The findings underscore the importance of inclusive and adaptive e-learning strategies that consider the unique needs of this diverse population in order to enhance their educational experiences in a rapidly changing digital landscape. It is therefore recommended that to support multilingual learners in the digital age, e-learning platforms should be inclusive, offering multilingual support and culturally relevant content.

Published in International Journal of English Teaching and Learning (Volume 3, Issue 4)
DOI 10.11648/j.ijetl.20250304.12
Page(s) 82-92
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2025. Published by Science Publishing Group

Keywords

Multilingual Learners, Digital Age, Effectiveness, Language Acquisition, Achievement

2. Literature Review
The review of this study drawn from both behaviorist and constructivist perspectives. It examined how e-learning platforms influence language acquisition. For example, Krashen's Input Hypothesis suggests that learners acquire language when they are exposed to input slightly above their current level of competence, and digital platforms can provide varied, tailored inputs to meet individual needs.
E-Learning Modalities: Digital tools such as multimedia resources, interactive language applications, and virtual classrooms are essential to understanding the nature of learning in the digital age. These tools facilitate access to authentic language materials and real-time communication opportunities, creating immersive learning environments. The framework could explore how these tools enhance the acquisition of multiple languages by offering practice in different skills (e.g., listening, speaking, writing) and fostering both independent and collaborative learning.
Cognitive Load Theory: This theory highlights how digital resources may reduce or increase cognitive load for learners, depending on how information is presented. A well-designed e-learning platform could reduce unnecessary complexity and allow learners to focus more on content comprehension and language acquisition.
Cultural and Linguistic Diversity: This framework must account for the sociocultural backgrounds of multilingual learners, as their unique experiences influence how they engage with digital learning platforms. The conceptual model would need to examine how culturally responsive digital tools and learning materials support language retention and the development of linguistic identity.: Drawing from theories like Self-Determination Theory (SDT), the conceptual framework can explore how digital platforms influence learners' motivation and engagement. SDT suggests that autonomy, competence, and relatedness are key to fostering intrinsic motivation, which is critical in self-directed e-learning environments.
2.1. Conceptual Review
The conceptual review for this involves a thorough exploration of the core concepts related to multilingualism, digital learning tools, language acquisition, and academic performance. This review will connect these concepts to current literature, identify gaps, and provide a theoretical foundation for investigating the effectiveness of e-learning environments for multilingual learners.
2.2. Multilingualism and Language Acquisition
Multilingualism refers to the ability to use and understand multiple languages. In an increasingly globalized and interconnected world, many learners are navigating the process of learning additional languages while maintaining proficiency in their native tongues. The process of acquiring multiple languages requires a deep understanding of the cognitive, social, and linguistic factors that influence language learning. Shaba explores the subject of language diversity and multilingualism across an individual’s lifespan, offering insights into important questions on the topic through contemporary discourse and research. She scrutinizes the complexities of linguistic diversity, multilingualism as a lived reality among individuals and communities. This necessitates the non-linear trajectories of language development across the lifespan, engaging with inquiries from psycholinguistics and sociolinguistics on language acquisition, family language practices and policies, and the impact of conditions such as dementia and aphasia on language usage.
Bilingual and Multilingual Language Acquisition: Theories of second language acquisition (SLA) such as ’s Input Hypothesis, ’s Output Hypothesis, and Long’s Interaction Hypothesis provide insight into how learners acquire additional languages. These theories emphasize the importance of comprehensible input, meaningful interaction, and opportunities for output as key factors in successful language learning. For multilingual learners, this means creating learning environments that offer rich input and opportunities for both interaction and production in the target languages. therefore posit that when global migration is on the rise due to economic downturn, violence, and natural disasters, ensue in an exceptional multidimensional analysis of multilingualism. New multilingual societies are emerging and places previously thought to be monolingual now are having multiple languages spoken. This provides relevant research-based insights into how multilingual individuals and societies can be accommodated in places where power relations of dominant languages are at play.
Multilingual Learners’ Cognitive Processes: Multilingual learners often use translanguaging, a process by which they navigate between multiple languages to comprehend and produce language. Translanguaging has been shown to enhance cognitive flexibility, which can benefit both language acquisition and overall academic achievement . Therefore, digital learning environments should be designed to support the multilingual learner’s ability to use all their linguistic resources for better learning outcomes. It connects translanguaging to inclusive practices, which require EMI mathematics and science teachers to mobilize various available resources and draw on what students know collectively to build bridges between students' funds of knowledge and the cultures of school science and mathematics.
Research must continue to examine translanguaging as transformative pedagogy to challenge oppressive language and literacy practices in schools and society.
2.3. E-Learning in Language Acquisition
Digital tools have transformed the landscape of language learning by providing new ways to deliver language input, practice, and assessment. Understanding how digital platforms influence language acquisition is key to this conceptual review.
E-learning Modalities for Language Learning: E-learning platforms offer a variety of modalities—multimedia content, virtual classrooms, interactive language games, and simulations—that can support different aspects of language acquisition. Multimedia Learning suggests that learners process information more effectively when it is presented in both verbal and visual formats. For multilingual learners, multimedia platforms can simulate real-life language contexts, providing audio, visual, and textual input that enhances comprehension and retention.
Interaction in Digital Environments: The interaction hypothesis emphasizes the role of communication in language acquisition. E-learning platforms that enable real-time interaction, such as video conferencing tools and discussion forums, allow learners to practice speaking and listening in authentic communication scenarios. These platforms can also provide immediate feedback, which is essential for learners to improve their language skills.
Personalization and Adaptive Learning: Many e-learning platforms incorporate adaptive learning technologies that adjust the level of difficulty based on the learner's performance. This is critical for multilingual learners, as it allows for differentiated instruction tailored to their specific needs .
3. Methodology
The study employed the descriptive research of the survey type design. The descriptive survey type of design was employed to capture large sample size from the population to describe the existing situation of a comprehensive understanding of the effectiveness of e-learning innovations for bilingual and multilingual learners.
The population included bilingual and multilingual learners from junior secondary schools being the basis for developmental language acquisition as well as educators who have experience in using e-learning tools for language instruction. The sample size comprises 300 students randomly selected from five (5) grade A and five (5) grade B public and private junior secondary schools.
The instrument used for the collection of data was a structured questionnaire titled “Questionnaire on Language Acquisition and Academic Performance among Multilingual Learners” (QLAAPMLL). The instrument was validated by experts. A reliability coefficient of 0.67 was obtained.
The data collected were analysed using descriptive statistics.
4. Result
4.1. Demographic Data of the Respondents
Table 1. Demographic Data of the Respondents.

Age Range

Frequency (f)

Percentage (%)

10-12 years

23

9.2%

13–15 years

109

43.6%

16–18 years

118

47.2%

Total

250

100%

The Table 1 presents the age distribution of the respondents in the study, 23 students, representing 9.2% of the total sample, fall within the age bracket of 10–12 years. This indicates that this age group forms the smallest portion of the participants, possibly because most students in this category are still in the early stages of secondary education. The age group 13–15 years includes 109 respondents, which accounts for 43.6% of the total. This is a significant portion and suggests that a large number of the participants are in the middle level of secondary education, likely Junior Secondary School 2 or 3. The majority of the respondents, 118 students, fall within the age range of 16–18 years, making up 47.2% of the sample population.
4.2. Gender Distribution
Table 2. Gender Distribution.

Gender

Frequency (f)

Percentage (%)

Male

128

51.4%

Female

122

48.6%

Total

250

100%

The Table 2 indicates that 128 respondents were male, accounting for 51.4% of the population. This suggests that male students slightly outnumber their female counterparts, accounting for just over half of the total participants. This slight majority suggests a fairly balanced participation between both genders, with male students being slightly more represented. 122 respondents were female, which constitutes 48.6% of the total sample. Although this is marginally lower than the number of males, it still reflects a strong level of female representation in the study, demonstrating that both genders are well-represented and that the data collected provides a gender-inclusive perspective.
4.3. Distribution by Class
Table 3. Distribution by Class.

Class

Frequency (f)

Percentage (%)

JSS1

95

37.8%

JSS2

155

62.2%

Total

249

100%

The Table 3 presents that 95 students are in Junior Secondary School 1 (JSS1), accounting for 37.8% of the respondents. This shows that a significant portion of the participants are in their first year of junior secondary education. These students are likely at the early stages of engaging with more advanced English language content, including literary texts, which may influence their level of exposure and comprehension. The remaining 155 students belong to Junior Secondary School 2 (JSS2), making up 62.2% of the total sample. This represents the majority of the respondents, indicating that most participants are at a more advanced stage of junior secondary education.
4.4. Dialectal Variation of the Respondents
Table 4. Dialectal Variation of the Respondents.

Language(s) Spoken at Home

Frequency (f)

Percentage (%)

Yoruba

170

68.3%

Yoruba and English

49

19.7%

English

8

3.2%

English Language

2

0.8%

English and Yoruba

3

1.2%

Igede

6

2.4%

Ebira

4

1.6%

Igbo

2

0.8%

Arab

2

0.8%

Igebe

3

0.8%

Total

250

100%

The Table 4 reveals that 170 out of 250, representing 68.3%, reported that Yoruba is the primary language spoken in their homes. This indicates that most of the respondents come from Yoruba-speaking households, which aligns with the regional linguistic demographic of southwestern Nigeria. 49 students, making up 19.7% of the total, indicated that they speak both Yoruba and English at home. This bilingual environment may contribute positively to their English language proficiency, as they are exposed to both their native language and English in daily communication. Only 8 students, representing 3.2%, reported speaking English alone at home, suggesting limited home-based immersion in the language for most students. Additionally, 2 students (0.8%) also stated that they speak English at home, a likely variation in wording that still refers to English as their primary spoken language. 3 (1.2%) reported speaking English and Yoruba, which is similar in meaning to the earlier group but may reflect differences in dominance or preference in language use. The data also shows that 6 students (2.4%) speak Igede, 4 students (1.6%) speak Ebira, and 2 students (0.8%) speak Igbo. These responses reflect the presence of minority ethnic groups among the respondents. 2 students (0.8%) reported speaking Arab, and 3 students (0.8%) indicated Igebe as the language spoken at home.
Table 5. Do you have access to a personal device for learning (e.g., phone, tablet, Computer)?

Response

Frequency (f)

Percentage (%)

Yes

173

69.2%

No

77

30.8%

Total

250

100%

The Table 5, shows that 173 students, representing 69.2%, indicated that they have access to a personal device for learning while, 77 students, which accounts for 30.8% of the sample, reported that they do not have access to a personal learning device.
Table 6. Do you have regular internet access at home?

Response

Frequency (f)

Percentage (%)

Yes

139

55.6%

No

111

44.4%

Total

250

100%

The Table 6 reveals that 139 students, representing 55.6%, indicated that they have regular internet access at home while 111 students, which accounts for 44.4% of the sample, reported that they do not have regular internet access at home.
Table 7. Question 1. What are the most effective e-learning platforms and technologies currently available for multilingual language learners.

Items

SA

A

D

SD

Mean

Std

F

%

f

%

F

%

f

%

I regularly use e-learning platforms to learn languages.

24

21.1%

53

21.2%

10

4%

122

48.8%

2.75

1.61

E-learning platforms I use include: Google Classroom, Duolingo, etc.

26

22.8%

54

21.6%

23

9.2%

127

50.8%

3.01

1.40

Learning languages through e-learning is more effective than traditional classroom methods.

36

31.6%

79

31.6%

25

10%

91

36.4%

3.32

1.51

E-learning helps improve my reading, writing, listening, and speaking skills.

45

39.5%

62

25

31

12.5

42

16.94

3.51

1.55

I get more opportunities to practice language skills through e-learning.

41

36.0%

46

18.4

37

14.8

52

20.8

3.26

1.61

The Table 7 reveals that for the statement, I regularly use e learning platforms to learn languages, 24 respondents (21.1%) strongly agreed and 53 (21.2%) agreed, whereas only 10 (4.0%) disagreed and 122 (48.8%) strongly disagreed, yielding a mean of 2.75 and a standard deviation of 1.61, which indicates that the majority of participants do not regularly engage with e learning for language study. Regarding the platforms themselves, E learning platforms I use include: Google Classroom, Duolingo, etc., 26 respondents (22.8%) strongly agreed and 54 (21.6%) agreed, while 23 (9.2%) disagreed and 127 (50.8%) strongly disagreed; the mean of 3.01 (SD = 1.40) suggests a slight tendency toward neutral to positive familiarity, but with wide variability. On the effectiveness of e learning, Learning languages through e learning is more effective than traditional classroom methods, 36 respondents (31.6%) strongly agreed and 79 (31.6%) agreed, compared with 25 (10.0%) who disagreed and 91 (36.4%) who strongly disagreed; a mean of 3.32 (SD = 1.51) reflects a modest overall belief in e learning’s superiority, though opinions are divided. When asked whether e learning improves all four language skills, E learning helps improve my reading, writing, listening, and speaking skills, 45 respondents (39.5%) strongly agreed and 62 (25.0%) agreed, with 31 (12.5%) disagreeing and 42 (16.9%) strongly disagreeing; the relatively high mean of 3.51 (SD = 1.55) indicates this item received the strongest endorsement of all five. Finally, for the opportunity to practice language skills, I get more opportunities to practice language skills through e learning, 41 respondents (36.0%) strongly agreed and 46 (18.4%) agreed, while 37 (14.8%) disagreed and 52 (20.8%) strongly disagreed; the mean of 3.26 (SD = 1.61) suggests a generally positive view, albeit with substantial variation in responses.
Table 8. Question 2. How do these e-learning platforms impact language acquisition and academic performance among bilingual and multilingual learners.

Items

SA

A

N

D

SD

Mean

Std

F

%

F

%

F

%

F

%

F

%

I use e-learning platforms to study math, science, and social studies.

17

12.5%

32

23.5%

12

8.8%

39

28.7%

36

26.5%

2.67

1.41

E-learning helps me understand these subjects better than traditional methods.

60

36.8%

31

19.0%

23

14.1%

28

17.2%

21

12.9%

3.49

1.37

I feel more confident in math, science, and social studies when using e-learning.

36

31.6%

79

31.6%

25

10%

91

36.4%

3.32

1.51

36

31.6%

My performance in these subjects has improved since using e-learning.

45

27.6%

31

19.0%

18

11.0%

25

15.3%

44

27.0%

2.85

1.55

The Table 8 shows that respondents indicated, I use e-learning platforms to study math, science, and social studies,” 17 respondents, representing 12.5% of the total, strongly agreed, while 32 respondents (23.5%) agreed. On the other hand, 12 respondents (8.8%) were neutral, 39 respondents (28.7%) disagreed, and 36 respondents (26.5%) strongly disagreed. The mean score of 2.67 and standard deviation of 1.41 indicate that most participants do not frequently use e-learning platforms for studying these subjects. Regarding the statement “E-learning helps me understand these subjects better than traditional methods,” 60 respondents (36.8%) strongly agreed, and 31 (19.0%) agreed. Meanwhile, 23 respondents (14.1%) remained neutral, 28 (17.2%) disagreed, and 21 (12.9%) strongly disagreed. The mean of 3.49 with a standard deviation of 1.37 suggests that a majority believe e-learning enhances their understanding of math, science, and social studies more than traditional approaches. In response to “I feel more confident in math, science, and social studies when using e-learning,” 36 respondents (31.6%) strongly agreed, and another 79 (31.6%) agreed. A total of 25 respondents (10.0%) were neutral, while 91 (36.4%) disagreed. The mean of 3.32 and standard deviation of 1.51 show that although many participants expressed confidence through e-learning, a considerable number also expressed doubts, reflecting mixed feelings. Concerning the item “My performance in these subjects has improved since using e-learning,” 45 respondents (27.6%) strongly agreed, and 31 (19.0%) agreed. Additionally, 18 respondents (11.0%) were neutral, 25 (15.3%) disagreed, and 44 (27.0%) strongly disagreed. With a mean of 2.85 and standard deviation of 1.55, the data reveals a divided opinion, with nearly equal proportions affirming and denying improvement in academic performance through e-learning.
Table 9. Question 3. What challenges do educators and learners encounter when implementing e-learning tools for effective mastering and acquisition of English language?

Items

SA

A

N

D

SD

Mean

Std

F

%

F

%

F

%

F

%

F

%

I find it easy to use e-learning platforms without help

32

23.5%

28

20.6%

17

12.5%

20

14.7%

39

28.7%

2.96

1.57

I face challenges due to poor internet or lack of devices.

17

12.5%

32

23.5%

12

8.8%

39

28.7%

36

26.5%

2.67

1.41

I understand how to use different e-learning tools and apps effectively.

36

26.5%

35

25.7%

17

12.5%

15

11.0%

33

24.3%

3.19

1.54

The language used on e-learning platforms makes it hard for me to understand lessons.

27

19.9%

12

8.8%

20

14.7%

35

25.7%

42

30.9%

2.61

1.50

I receive support from teachers or family when I have trouble using e-learning.

36

26.5%

28

20.6%

18

13.3%

22

16.2%

32

23.5%

3.10

1.54

Table 9 shows that out of the total respondents, 32 students (23.5%) strongly agreed, 28 (20.6%) agreed, 17 (12.5%) were neutral, 20 (14.7%) disagreed, and 39 (28.7%) strongly disagreed. The mean score was 2.96 with a standard deviation of 1.57. This indicates a mixed response, with a significant proportion of students (43.4%) feeling comfortable using e-learning platforms independently, while a comparable portion (43.4%) disagreed or strongly disagreed, indicating challenges in autonomous platform usage. Only 17 students (12.5%) strongly agreed and 32 (23.5%) agreed that they face such challenges. Meanwhile, 12 (8.8%) were neutral, 39 (28.7%) disagreed, and 36 (26.5%) strongly disagreed. With a mean of 2.67 and a standard deviation of 1.41, this result reveals that although some students experience digital access issues, a slightly higher percentage (55.2%) do not consider poor internet or devices a major barrier. A total of 36 students (26.5%) strongly agreed and 35 (25.7%) agreed, indicating that 52.2% of the respondents believe they are proficient in using e-learning tools. On the other hand, 17 (12.5%) were neutral, 15 (11.0%) disagreed, and 33 (24.3%) strongly disagreed. The mean score was 3.19 with a standard deviation of 1.54, reflecting a relatively favorable level of digital literacy among students. Only 27 students (19.9%) strongly agreed and 12 (8.8%) agreed, while 20 (14.7%) remained neutral. A larger proportion, 35 (25.7%) disagreed and 42 (30.9%) strongly disagreed. The mean score of 2.61 and standard deviation of 1.50 suggest that most students do not struggle with language barriers on e-learning platforms, though a minority do find the language challenging. 36 students (26.5%) strongly agreed and 28 (20.6%) agreed, making 47.1% who acknowledged receiving support. Additionally, 18 (13.3%) were neutral, 22 (16.2%) disagreed, and 32 (23.5%) strongly disagreed. The mean of 3.10 and standard deviation of 1.54 show that while a substantial number of students feel supported, there remains a significant number who may lack adequate assistance.
Table 10. Question 4. What are the best practices for integrating e-learning innovations into the curricula of bilingual and multilingual learners? Question 4. What are the best practices for integrating e-learning innovations into the curricula of bilingual and multilingual learners? Question 4. What are the best practices for integrating e-learning innovations into the curricula of bilingual and multilingual learners?

Items

SA

A

N

D

SD

Mean

Std

F

%

F

%

F

%

F

%

F

%

E-learning platforms allow me to talk with classmates or teachers in the target language.

23

14.1%

50

30.7%

19

11.7%

26

16.0%

45

27.6%

2.88

1.47

I miss face-to-face interaction with classmates when learning online.

60

36.8%

31

19.0%

23

14.1%

28

17.2%

21

12.9%

3.49

1.37

E-learning lessons include speaking tasks or group discussions.

30

22.1%

37

27.2%

18

13.2%

15

11.0%

36

26.5%

2.35

1.37

I can practice speaking with others through chat or video features on e-learning platforms.

45

27.6%

31

19.0%

18

11.0%

25

15.3%

44

27.0%

2.85

1.55

I feel connected with classmates and teachers when using e-learning platforms.

30

22.1%

37

27.2%

18

13.2%

15

11.0%

36

26.5%

3.07

1.52

The Table 10 shows that 23 (14.1%) strongly agreed that e-learning platforms allow them to interact with classmates or teachers in the target language, while 50 (30.7%) agreed. However, 19 respondents (11.7%) were neutral on this statement. Meanwhile, 26 (16.0%) disagreed, and 45 (27.6%) strongly disagreed. The mean response was 2.88, indicating a leaning toward disagreement, and the standard deviation was 1.47, showing a moderate spread in responses. A significant portion of respondents, 60 (36.8%), strongly agreed that they miss face-to-face interactions, while 31 (19.0%) agreed. Another 23 (14.1%) were neutral, 28 (17.2%) disagreed, and 21 (12.9%) strongly disagreed. The calculated mean was 3.49, suggesting that many learners have a tendency to agree with the statement. The standard deviation was 1.37, indicating moderate variation in responses. 30 respondents (22.1%) strongly agreed, and 37 (27.2%) agreed that speaking tasks or group discussions are part of their e-learning lessons. A smaller portion, 18 (13.2%), remained neutral. In contrast, 15 (11.0%) disagreed and 36 (26.5%) strongly disagreed. The mean response was 2.35, which indicates a general tendency toward disagreement. The standard deviation of 1.37 suggests variability in responses. 45 (27.6%) strongly agreed and 31 (19.0%) agreed that they are able to practice speaking through chat or video features. 18 respondents (11.0%) neither agreed nor disagreed. However, 25 (15.3%) disagreed and 44 (27.0%) strongly disagreed. The mean score was 2.85, showing a leaning toward neutrality or slight disagreement, with a standard deviation of 1.55, indicating a relatively wide range of responses. A total of 30 respondents (22.1%) strongly agreed and 37 (27.2%) agreed with feeling connected to others through e-learning platforms. Meanwhile, 18 (13.2%) remained neutral, 15 (11.0%) disagreed, and 36 (26.5%) strongly disagreed. The mean of 3.07 indicates a roughly neutral position with a slight tilt toward agreement, while the standard deviation of 1.52 reflects considerable variability in students' perceptions.
4.5. Discussion of the Findings
The analysis of student responses shows diverse perceptions regarding communication and interaction on e-learning platforms. For the statement "E-learning platforms allow me to talk with classmates or teachers in the target language," 23 students (14.1%) strongly agreed, 50 (30.7%) agreed, 19 (11.7%) were neutral, 26 (16.0%) disagreed, and 45 (27.6%) strongly disagreed. This supports . “The Input Hypothesis” which served as a motivating factor for learning through the use of digital devices. The mean score of 2.88 and standard deviation of 1.47 reflect a moderate response, slightly leaning toward disagreement, suggesting that many students do not frequently use e-learning platforms for verbal interaction in the target language.
When asked, "I miss face-to-face interaction with classmates when learning online," a considerable number, 60 students (36.8%), strongly agreed and 31 (19.0%) agreed, while 23 (14.1%) were neutral, 28 (17.2%) disagreed, and 21 (12.9%) strongly disagreed. With a mean of 3.49 and a standard deviation of 1.37, the responses show that many students experience a sense of disconnection during online learning, valuing the social component of in-person interactions.
For the item "E-learning lessons include speaking tasks or group discussions," 30 students (22.1%) strongly agreed, 37 (27.2%) agreed, 18 (13.2%) were neutral, 15 (11.0%) disagreed, and 36 (26.5%) strongly disagreed. The mean score was 2.35, and the standard deviation was 1.37, indicating that the inclusion of speaking tasks in online learning is inconsistent, with a tendency toward disagreement.
In response to "I can practice speaking with others through chat or video features on e-learning platforms," 45 students (27.6%) strongly agreed, 31 (19.0%) agreed, 18 (11.0%) were neutral, 25 (15.3%) disagreed, and 44 (27.0%) strongly disagreed. The mean score was 2.85 with a high standard deviation of 1.55, showing divided opinions, with some students finding value in these features while others do not use or benefit from them.
Finally, for the statement "I feel connected with classmates and teachers when using e-learning platforms," 30 students (22.1%) strongly agreed, 37 (27.2%) agreed, 18 (13.2%) were neutral, 15 (11.0%) disagreed, and 36 (26.5%) strongly disagreed. This resulted in a mean of 3.07 and a standard deviation of 1.52, indicating that while a portion of students feel connected, a similarly large group does not. This advertently aligned with reflecting varied levels of social interaction and engagement in online environments coupled with diverse outcomes.
5. Conclusion
This study concludes that e-learning enhances exposure to multimodal input and improves language development and academic performance for multilingual learners. However, access issues, insufficient interaction, and emotional disconnect reduce its full potential. A redesigned digital pedagogy with structured interaction, cultural responsiveness, and strengthened technological support could be of tremendous assistance to enhance expansion of interactive and communicative digital activities.
5.1. Recommendation
It is therefore recommended that to support multilingual learners in the digital age:
1) e-learning platforms should be inclusive, offering multilingual support and culturally relevant content.
2) Language lessons need to be interactive, using diverse media formats and activities that encourage real communication.
3) Teachers should receive training on digital methods for language instruction, and systems should adapt to individual learner needs.
4) Encouraging peer interaction, involving families, and ensuring all students have access to necessary technology are also crucial.
Additionally, using platforms tailored for language learning, organizing smaller discussion groups, and encouraging peer collaboration can create a more supportive and interactive learning experience. Regular assessment of student participation and satisfaction should also guide ongoing improvements.
Finally, continuous research and evaluation are needed to improve digital language learning strategies and outcomes.
Abbreviations

MLLs

Multilingual Learners XXX

QLAAPMLLs

Questionnaire on Language Acquisition Academic Performance Among Multilingual Learners

ML

Multiligual

AI

Artificial Intelligence

AR

Augmented Reality

VR

Virtuar Reality

Author Contributions
Michael Olayinka Irewole: Conceptualization, Funding acquisition, Methodology, Supervision, Validation, Writing – original draft, Writing – review & editing
Abegunde Ojo Kolawole: Investigation, Project administration, Resources, Writing – review & editing
Arogundade Glory Oluwaseun: Funding acquisition, Investigation, Methodology, Resources, Validation, Writing – review & editing
Festus Taiwo Solanke: Data curation, Formal Analysis, Funding acquisition, Project administration, Software, Validation, Writing – review & editing
Conflicts of Interest
The authors declared that there is no conflict of interest
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    Irewole, M. O., Kolawole, A. O., Oluwaseun, A. G., Solanke, F. T. (2025). Multilingual Learner in Digital Age: Investigating the Effectiveness of E-learning in Language Acquisition and Academic Achievement. International Journal of English Teaching and Learning, 3(4), 82-92. https://doi.org/10.11648/j.ijetl.20250304.12

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    Irewole, M. O.; Kolawole, A. O.; Oluwaseun, A. G.; Solanke, F. T. Multilingual Learner in Digital Age: Investigating the Effectiveness of E-learning in Language Acquisition and Academic Achievement. Int. J. Engl. Teach. Learn. 2025, 3(4), 82-92. doi: 10.11648/j.ijetl.20250304.12

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    AMA Style

    Irewole MO, Kolawole AO, Oluwaseun AG, Solanke FT. Multilingual Learner in Digital Age: Investigating the Effectiveness of E-learning in Language Acquisition and Academic Achievement. Int J Engl Teach Learn. 2025;3(4):82-92. doi: 10.11648/j.ijetl.20250304.12

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  • @article{10.11648/j.ijetl.20250304.12,
      author = {Michael Olayinka Irewole and Abegunde Ojo Kolawole and Arogundade Glory Oluwaseun and Festus Taiwo Solanke},
      title = {Multilingual Learner in Digital Age: Investigating the Effectiveness of E-learning in Language Acquisition and Academic Achievement},
      journal = {International Journal of English Teaching and Learning},
      volume = {3},
      number = {4},
      pages = {82-92},
      doi = {10.11648/j.ijetl.20250304.12},
      url = {https://doi.org/10.11648/j.ijetl.20250304.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijetl.20250304.12},
      abstract = {This study investigates the effectiveness of e-learning in supporting language acquisition and academic performance among multilingual learners (MLs) in the digital age. As educational technology continues to evolve, e-learning platforms offer unique opportunities for personalised and accessible language instruction tailored to diverse linguistic backgrounds. It highlights the advantages of e-learning, including the accessibility of resources, personalised learning experiences, and the incorporation of multimedia elements that enhance engagement and comprehension. The study adopts descriptive design of the survey type. The sample size comprises 300 students and 50 teachers of English language randomly selected from five (5) grade A and five (5) grade B public and private junior secondary schools in Ekiti State, Southwest, Nigeria. The instrument used for the collection of data was a structured questionnaire titled “Questionnaire on Language Acquisition and Academic Performance among Multilingual Learners” (QLAAPMLL). The instrument was validated by experts. A reliability coefficient of 0.67 was obtained. The data collected were analysed using descriptive statistics. The result revealed a mean of 3.49 and a standard deviation of 1.37, the responses show that many students experience a sense of disconnection during online learning, valuing the social component of in-person interactions. The findings underscore the importance of inclusive and adaptive e-learning strategies that consider the unique needs of this diverse population in order to enhance their educational experiences in a rapidly changing digital landscape. It is therefore recommended that to support multilingual learners in the digital age, e-learning platforms should be inclusive, offering multilingual support and culturally relevant content.},
     year = {2025}
    }
    

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  • TY  - JOUR
    T1  - Multilingual Learner in Digital Age: Investigating the Effectiveness of E-learning in Language Acquisition and Academic Achievement
    AU  - Michael Olayinka Irewole
    AU  - Abegunde Ojo Kolawole
    AU  - Arogundade Glory Oluwaseun
    AU  - Festus Taiwo Solanke
    Y1  - 2025/12/30
    PY  - 2025
    N1  - https://doi.org/10.11648/j.ijetl.20250304.12
    DO  - 10.11648/j.ijetl.20250304.12
    T2  - International Journal of English Teaching and Learning
    JF  - International Journal of English Teaching and Learning
    JO  - International Journal of English Teaching and Learning
    SP  - 82
    EP  - 92
    PB  - Science Publishing Group
    SN  - 2997-2566
    UR  - https://doi.org/10.11648/j.ijetl.20250304.12
    AB  - This study investigates the effectiveness of e-learning in supporting language acquisition and academic performance among multilingual learners (MLs) in the digital age. As educational technology continues to evolve, e-learning platforms offer unique opportunities for personalised and accessible language instruction tailored to diverse linguistic backgrounds. It highlights the advantages of e-learning, including the accessibility of resources, personalised learning experiences, and the incorporation of multimedia elements that enhance engagement and comprehension. The study adopts descriptive design of the survey type. The sample size comprises 300 students and 50 teachers of English language randomly selected from five (5) grade A and five (5) grade B public and private junior secondary schools in Ekiti State, Southwest, Nigeria. The instrument used for the collection of data was a structured questionnaire titled “Questionnaire on Language Acquisition and Academic Performance among Multilingual Learners” (QLAAPMLL). The instrument was validated by experts. A reliability coefficient of 0.67 was obtained. The data collected were analysed using descriptive statistics. The result revealed a mean of 3.49 and a standard deviation of 1.37, the responses show that many students experience a sense of disconnection during online learning, valuing the social component of in-person interactions. The findings underscore the importance of inclusive and adaptive e-learning strategies that consider the unique needs of this diverse population in order to enhance their educational experiences in a rapidly changing digital landscape. It is therefore recommended that to support multilingual learners in the digital age, e-learning platforms should be inclusive, offering multilingual support and culturally relevant content.
    VL  - 3
    IS  - 4
    ER  - 

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    1. 1. Literature Review
    2. 2. Methodology
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