BALANCING TRADITION AND TECHNOLOGY: A COMPARATIVE STUDY ON VOCABULARY ACQUISITION IN INTERMEDIATE ENGLISH LEARNERS

Abstract

This study explores the effectiveness of traditional and technological methods in vocabulary acquisition among intermediate-level English learners. A mixed-methods approach was used, combining quantitative data from pre-tests, weekly exams, and post-tests with qualitative insights gathered from surveys and interviews. Over a six-week period, 30 students participated in lessons utilizing both traditional teacher-led instruction and technological tools such as mobile apps and digital flashcards. The results revealed that while the traditional group showed steady but moderate improvement, the technological group experienced more rapid and significant gains in vocabulary retention. Interviews with participants highlighted the strengths and challenges of both methods, emphasizing the need for a blended learning approach. This study suggests that combining traditional and technological methods can offer a more comprehensive and effective learning experience, catering to diverse learner preferences and enhancing overall vocabulary retention.

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Ergashev Rasulbek Sohib o‘g‘li, & Bustanov Khurshidbek. (2024). BALANCING TRADITION AND TECHNOLOGY: A COMPARATIVE STUDY ON VOCABULARY ACQUISITION IN INTERMEDIATE ENGLISH LEARNERS. American Journal Of Social Sciences And Humanity Research, 4(10), 16–29. https://doi.org/10.37547/ajsshr/Volume04Issue10-03
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Abstract

This study explores the effectiveness of traditional and technological methods in vocabulary acquisition among intermediate-level English learners. A mixed-methods approach was used, combining quantitative data from pre-tests, weekly exams, and post-tests with qualitative insights gathered from surveys and interviews. Over a six-week period, 30 students participated in lessons utilizing both traditional teacher-led instruction and technological tools such as mobile apps and digital flashcards. The results revealed that while the traditional group showed steady but moderate improvement, the technological group experienced more rapid and significant gains in vocabulary retention. Interviews with participants highlighted the strengths and challenges of both methods, emphasizing the need for a blended learning approach. This study suggests that combining traditional and technological methods can offer a more comprehensive and effective learning experience, catering to diverse learner preferences and enhancing overall vocabulary retention.


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ABSTRACT

This study explores the effectiveness of traditional and technological methods in vocabulary acquisition among

intermediate-level English learners. A mixed-methods approach was used, combining quantitative data from pre-tests,

weekly exams, and post-tests with qualitative insights gathered from surveys and interviews. Over a six-week period,

30 students participated in lessons utilizing both traditional teacher-led instruction and technological tools such as

mobile apps and digital flashcards. The results revealed that while the traditional group showed steady but moderate

improvement, the technological group experienced more rapid and significant gains in vocabulary retention.

Interviews with participants highlighted the strengths and challenges of both methods, emphasizing the need for a

blended learning approach. This study suggests that combining traditional and technological methods can offer a

more comprehensive and effective learning experience, catering to diverse learner preferences and enhancing overall

vocabulary retention.

KEYWORDS

Vocabulary acquisition, traditional methods, technological tools, blended learning, Mobile-Assisted Language

Learning (MALL), intermediate-level English learners, spaced repetition, digital flashcards, language education, mixed-

methods study.

Research Article

BALANCING TRADITION AND TECHNOLOGY: A COMPARATIVE STUDY
ON VOCABULARY ACQUISITION IN INTERMEDIATE ENGLISH LEARNERS

Submission Date:

Sep 28, 2024,

Accepted Date:

Oct 03, 2024,

Published Date:

Oct 08, 2024

Crossref doi:

https://doi.org/10.37547/ajsshr/Volume04Issue10-03


Ergashev Rasulbek Sohib o‘g‘li

Professor and independent researcher of English linguistics at Turan International University, Uzbekistan

Bustanov Khurshidbek

A master’s degree student at Dong

-A university in English language and Literature, Uzbekistan

Journal

Website:

https://theusajournals.
com/index.php/ajsshr

Copyright:

Original

content from this work
may be used under the
terms of the creative
commons

attributes

4.0 licence.


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INTRODUCTION

Vocabulary acquisition has long been a crucial element

in language education, traditionally relying on methods

such as repetition, memorization, and teacher-led

instruction. While these approaches have laid the

foundation for structured language learning, they

often lack the flexibility required to engage learners in

a more dynamic and interactive manner. Over the

years, technological advancements have introduced

new tools that complement traditional methods,

particularly through blended learning models, which

combine face-to-face instruction with online resources.

This blended approach enhances the learning

experience by offering flexibility and interactivity, thus

catering to the needs of diverse learners (Alammary et

al., 2014).

Blended learning offers students the opportunity to

personalize their learning experiences, allowing them

to interact with material at their own pace and

according to their individual preferences (Tosun, 2015).

In the context of vocabulary acquisition, such

personalization can be highly effective, as mobile-

assisted tools enable learners to practice vocabulary

both inside and outside the classroom. Zhang et al.

(2011) note that students using mobile tools

demonstrate greater short-term

retention

of

vocabulary compared to those relying on traditional,

paper-based methods. This indicates that technology

not only enhances learning but also complements

traditional teaching strategies, contributing to

improved outcomes.

However, while technology-based approaches provide

numerous benefits, the role of traditional face-to-face

instruction remains indispensable. Graham et al. (2013)

stress that while blended learning offers flexibility, in-

person teaching is critical for immediate feedback and

fostering a collaborative learning environment.

Similarly, Garrison and Kanuka (2004) emphasize that

online tools should enhance, rather than replace, face-

to-face

interactions,

creating

a

balanced,

pedagogically sound learning environment.

Mobile-assisted language learning (MALL) has been

particularly effective in improving both the retention

and comprehension of vocabulary through varied and

flexible practice (Khazaei & Dastjerdi, 2011). These

tools allow students to engage with vocabulary in

diverse

contexts,

thereby

deepening

their

understanding of how words function in real-life

situations. As blended learning continues to expand,

educators are encouraged to redesign courses that

seamlessly integrate both traditional and digital

methods to form a cohesive learning experience

(Oliver & Trigwell, 2005).

Research indicates that incorporating digital tools into

traditional teaching methods enhances student

motivation and engagement, resulting in more


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effective language learning (Pazio, 2010). This is

especially true for vocabulary learning, where

interactive tools can provide additional opportunities

for practice and engagement. However, the key

challenge remains finding the right balance between

traditional and technological methods. As both

approaches offer unique advantages, it is crucial to use

them in a complementary manner to support learners'

overall progress (Tosun, 2015).

This study seeks to explore how intermediate-level

English learners can benefit from both traditional and

technological methods in vocabulary acquisition. By

examining the effectiveness of these approaches, the

research aims to contribute to the growing discourse

on blended learning in language education, focusing

on how the integration of these methods can optimize

student outcomes.

LITERATURE REVIEW

The literature on vocabulary learning highlights the

roles of both traditional and technological methods,

emphasizing their individual strengths and the growing

importance of blended learning approaches.

Traditional Methods in Vocabulary Learning

Traditional vocabulary learning methods, such as

repetition, memorization, and teacher-led instruction,

have long been central to language education. These

strategies create structured environments where

learners systematically acquire vocabulary, reinforced

by techniques like drilling and dictation. Teachers play

a pivotal role in guiding this process, ensuring repeated

exposure to vocabulary, which, as Harmer (2007)

notes, strengthens cognitive links between new words

and their meanings. Such rote learning is particularly

effective for beginners. Additionally, traditional

methods allow for immediate feedback from teachers

on pronunciation and word usage, as noted by Graham

et al. (2013). However, these methods often lack

flexibility and may not engage learners who prefer

more interactive or autonomous approaches, as

highlighted by Bielawski and Metcalf (2003).

Additionally,

while

repetition

aids

short-term

retention, traditional methods may not foster long-

term retention or real-world application of vocabulary

(Thornbury, 2002). As education shifts towards more

active, technology-driven models, scholars argue for

integrating traditional methods with technology,

particularly mobile-assisted learning, to provide a more

comprehensive learning experience (Graham &

Roberts, 2007; Kukulska-Hulme & Shield, 2008).

Technological Tools in Vocabulary Learning

Technological tools have transformed vocabulary

learning,

providing

flexible,

interactive,

and

personalized opportunities. Mobile-Assisted Language

Learning (MALL), via apps like Duolingo and Quizlet,

allows learners to engage with vocabulary anywhere,

enhancing retention through multimodal activities


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(Pazio, 2010). These apps support spaced repetition, a

proven method for long-term retention (Nation, 2013).

Learning Management Systems (LMS), such as

Moodle, also offer vocabulary quizzes and multimedia

tasks, enabling self-paced learning and review

(Dudeney & Hockly, 2012). Computer-Assisted

Language Learning (CALL) programs like Rosetta

Stone incorporate gamified exercises, while digital

flashcards such as Anki integrate spaced repetition

algorithms to enhance retention (Mayer, 2009).

Multimedia resources like YouTube and podcasts

provide real-world exposure to vocabulary, improving

understanding

and

application

(Kim,

2012).

Additionally, tools like speech recognition apps offer

real-time feedback on pronunciation (Chapelle, 2009),

and collaborative tools like wikis and blogs encourage

peer interaction, fostering authentic use of vocabulary

(Warschauer, 2010). In sum, technological tools offer a

personalized, interactive approach that, when

combined with traditional methods, provides a

balanced

and

effective

vocabulary

learning

experience.

Blended Learning Approaches

Blended learning combines traditional face-to-face

instruction with technological tools, offering a dynamic

and flexible approach to vocabulary acquisition. This

model caters to diverse learning styles, allowing

learners to engage with vocabulary through various

modalities

visual, auditory, and kinesthetic

while

promoting frequent practice and retention (Pazio,

2010). Blended learning also integrates various learning

theories, such as constructivism and behaviorism,

through interactive digital tools and repetitive online

exercises (Vygotsky, 1978; Marsh, 2012). Research

shows that students using both traditional and mobile

learning tools outperform those relying solely on

traditional methods, as mobile tools enable more

frequent and flexible practice (Khazaei & Dastjerdi,

2011; Zhang, Song, & Burston, 2011). However, Marsh

(2012) cautions that technology should complement,

not replace, traditional teacher guidance. In

conclusion, blended learning enhances vocabulary

retention and promotes learner autonomy by

combining the strengths of traditional methods with

the flexibility of technology, making it an effective

approach for modern language education.

METHODOLOGY

The research employed a mixed-method approach to

investigate the effectiveness of traditional and

technological methods for vocabulary acquisition

among intermediate-level English learners. This

approach combined quantitative methods, which

measured vocabulary progress through pre-tests,

weekly exams, and post-tests, and qualitative

methods, which explored student perceptions through

surveys and interviews. The goal was to gain a

comprehensive understanding of how these two

teaching methods impacted vocabulary learning.


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Quantitative data were gathered through a pre-test,

which provided baseline knowledge of students'

vocabulary proficiency, followed by weekly exams to

monitor progress during the study, and a post-test to

evaluate overall improvement. The study also involved

a paper-based survey that explored the participants'

perceptions

of

traditional

and

technological

vocabulary

learning

methods.

Semi-structured

interviews were conducted with five participants to

gain deeper insights into the key themes revealed by

the survey.

The study participants included 30 students from

diverse academic backgrounds and ages, ranging from

16 to over 26 years. Half of the participants were

undergraduate students, while the other half were

postgraduates. Their English proficiency levels varied

from pre-intermediate to upper-intermediate, with

most being at the intermediate level. The group was

predominantly female, with 26 females and 4 males.

This demographic distribution allowed the study to

capture a broad range of perspectives on vocabulary

learning.

A variety of instruments were used to collect data.

These included pre-tests and post-tests to assess initial

vocabulary knowledge and improvements, weekly

exams to track progress, a survey to gather student

perceptions, and interviews to explore these

perceptions in greater detail.

The study was conducted over six weeks, with

students attending three vocabulary lessons per week.

The lessons were split between traditional methods,

like teacher-led discussions and physical flashcards,

and technological methods, such as mobile apps,

digital flashcards, and online quizzes. Students’

progress was measured through the weekly exams,

and at the end of the study, participants completed the

survey to evaluate the methods they experienced.

Follow-up interviews with selected participants

allowed for a more in-depth understanding of their

experiences.

The data analysis involved both quantitative and

qualitative methods. Descriptive statistics were used

to analyze the pre-test, post-test, and weekly exam

scores, while the survey data were processed to

identify trends in participants' perceptions. The

interview data were analyzed through thematic

analysis, identifying key themes such as learner

autonomy and engagement, which were cross-

referenced with the survey results to provide a

comprehensive understanding of the students'

experiences with different vocabulary learning

methods.

RESULTS

The

traditional

vocabulary

learning

group

demonstrated steady improvement over the six-week

period, with pre-test scores ranging from 50% to 75%


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and post-test results between 50% and 85%. On

average, students in this group improved by 15% to 20%,

with the highest performers, such as M.Z., F.I., and

K.X., showing strong progress, ending with post-test

scores of 85%. Students like A.H. and N.J. also saw

substantial gains, starting at 65% and finishing at 80%.

However, some students, like F.M. and M.O., showed

little improvement, highlighting potential limitations in

the traditional methods for certain learners. Weekly

gains were moderate, typically 3-5%, with the most

significant improvements occurring between Weeks 3

and 5.

In contrast, the technological vocabulary learning

group experienced more rapid and significant

improvements. Pre-test scores ranged from 45% to 85%,

with post-test results improving to between 60% and

100%. Notable performers, such as J.I., achieved perfect

scores by Week 6, while O.Z. and P.S. saw significant

improvements from 65-70% to 90-95%. Overall, the

technological group showed faster weekly gains,

particularly between Weeks 3 and 5, with many

students improving by 10-15% per week.

When comparing both groups, the technological group

exhibited faster and more pronounced progress in

vocabulary acquisition. While the traditional group saw

steady improvement, their progress was generally

slower, indicating that digital tools provide a more

engaging and flexible learning environment. However,

both groups showed improvement, suggesting that

both methods can be effective, though the

technological tools appeared to better cater to

students who required more dynamic learning

resources.


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0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

H.A.

I.F.

I.D.

J.M.

J.N.

K.X.

M.Z.

M.F.

M.O‘.

M.M.

M.S. M.Mu. M.D.

N.D.

E.M.

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

Traditional Method Group Results

Pre-Test results

Week 1

Week 2

Week 3

Week 4

Week 5

Week 6

Post-test results

0%

20%

40%

60%

80%

100%

120%

A.A.

E.D.

H.M.

I.M.

J.I.

O.Z.

P.Sh.

J.E.

A.S

A.M.

A.Mu.

A.I.

A.Sh.

D.U.

D.D.

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

Technological Method Group Results

Pre-Test results

Week 1

Week 2

Week 3

Week 4

Week 5

Week 6

Post-test results


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To gain deeper insights into the effectiveness of

traditional and technological methods for vocabulary

acquisition,

semi-structured

interviews

were

conducted with five students who actively participated

in the study. These interviews provided valuable

personal

perspectives,

reflecting

individual

experiences, challenges, and preferences for the

methods used.

1. Student A.A. (Technological Group)

A.A. was one of the students who showed

considerable improvement, increasing from 55% on the

pre-test to 80% on the post-test. In the interview, A.A.

emphasized the convenience of digital tools,

particularly the ability to practice vocabulary on a

mobile app during free time. She noted that “the

flexibility of using apps at home or while commuting

made it easy to stay consistent with practice, and the

interactive quizzes helped a lot in remembering new

words.” However, she also mentioned that

occasionally, “technical issues with the app would

interrupt s

tudy time,” which was a minor drawback.

Despite these challenges, A.A. preferred the

technological approach over traditional methods,

primarily due to the personalized feedback and varied

activities.

2. Student F.M. (Traditional Group)

F.M., who only showed a slight improvement from 55%

to 65%, expressed mixed feelings about the traditional

method. She appreciated the structured classroom

setting and the ability to ask the teacher questions

directly, saying, “Having the teacher there made it

easier to understand difficult words because I could

get instant explanations.” However, she found the

repetition exercises somewhat monotonous and

admitted to struggling with retaining vocabulary after

class. F.M. explained, “I would memorize the words

during class, but after a few days, I would forget them

because we didn’t use them much in real

conversations.” This highlights a limitation of the

traditional method for F.M., as she felt it lacked real-

world application.

3. Student J.I. (Technological Group)

J.I., who achieved a perfect score of 100% by the end of

the study, shared that digital flashcards and spaced

repetition techniques were key to his success. He

remarked, “Using apps like Quizlet really helped me

because I could review the words frequently and in

different formats

like matching games, fill-in-the-

blank exercises, and audio recordings.” J.I. also

appreciated the instant feedback from the app, which

helped him correct mistakes immediately. He did

mention, though, that “sometimes I missed the

interaction w

ith a real teacher,” but felt that the

technological tools were more than sufficient for self-

paced learning. His high scores suggest that

technological methods are particularly effective for


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students who enjoy autonomy and frequent,

interactive practice.

4. Student N.J. (Traditional Group)

N.J., who improved from 65% to 80%, valued the

traditional approach for the discipline and structure it

provided. She said, “I liked the classroom setting

because it forced me to focus, and the teacher made

sure everyone

stayed on track.” N.J. also mentioned

that teacher-led discussions helped her better

understand the nuances of new vocabulary. However,

she acknowledged that the method was not as flexible

as she would have liked. “If I missed a class, it was hard

to catc

h up,” she said, noting that more independent

practice could have supplemented her learning.

Despite these concerns, she appreciated the routine

and consistency offered by traditional teaching.

5. Student M.O. (Traditional Group)

M.O. was one of the students who showed no

improvement, remaining at 50% throughout the study.

During the interview, he revealed that he struggled to

keep up with the pace of the traditional lessons. “I felt

like the vocabulary exercises were too repetitive, and I

wasn’t interested

in just memorizing words without

using them in real situations,” he said. M.O. admitted

that he would have benefited from more interactive

activities and possibly technological tools that could

engage him outside of class. His experience highlights

the need for more dynamic approaches for students

who do not thrive in structured, teacher-led

environments.

DISCUSSION

The results of this study provide valuable insights into

the effectiveness of traditional and technological

methods of vocabulary acquisition for intermediate-

level English learners. The findings, supported by both

quantitative data and personal accounts from

interviews, reveal important trends that have practical

implications for language teaching, particularly in

designing more effective vocabulary learning

programs.

Traditional

Methods:

Steady

but

Gradual

Improvement

Students in the traditional vocabulary learning group

exhibited steady but moderate progress throughout

the six-week period. Their improvement ranged from

an average of 15% to 20%, with the most significant

gains occurring between Weeks 3 and 5. This indicates

that

traditional

methods

characterized

by

structured, teacher-led instruction and repetition

exercises

are effective in fostering incremental

progress. For learners like M.Z., F.I., and K.X., who

performed at higher levels, the structured nature of

traditional teaching provided a solid foundation for

mastering vocabulary.


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However, the relatively slower pace of improvement,

compared to the technological group, raises questions

about the long-term sustainability of traditional

methods, especially for students who may not benefit

from rigid instruction. The interviews revealed that

students such as F.M. and M.O., who showed minimal

improvement, struggled with engagement and

retention in traditional settings. These students noted

that while teacher support was beneficial, the

repetitive nature of vocabulary drills did not encourage

meaningful learning or real-world application. This

highlights one of the limitations of traditional

methods: their inability to cater to more dynamic or

autonomous learners who need a variety of stimuli to

stay engaged.

The implications of these findings suggest that while

traditional methods continue to play a significant role

in language education, they may need to be

supplemented with more interactive elements to meet

the needs of all learners. Educators using traditional

approaches should consider incorporating activities

that allow for more active, real-world vocabulary use,

such as role-plays, games, or discussion-based

exercises, to engage students who struggle with

passive memorization techniques.

Technological Methods: Faster and More Pronounced

Improvement

In contrast, students in the technological vocabulary

learning group showed rapid and significant

improvements, with weekly gains often ranging from

10% to 15%. By the end of the study, post-test results for

this group ranged from 60% to 100%, with standout

performers like J.I. achieving perfect scores. The

flexibility and interactive nature of digital tools, such as

mobile apps and digital flashcards, appear to have

played a key role in this success. Students like A.A. and

J.I. attributed their improvement to the convenience of

being able to study on their own time and the engaging

features of the apps, such as spaced repetition,

quizzes, and immediate feedback.

However, even with the advantages of technological

tools, some challenges were identified. For example,

A.A. mentioned occasional technical issues with the

apps, and J.I. noted missing the interaction with a

teacher for real-time clarification. These insights

suggest that while technological tools are highly

effective in promoting vocabulary retention and

engagement, they are not without limitations. The lack

of human interaction can be a drawback for students

who need more guidance or who benefit from the

personalized feedback that a teacher can provide.

The implications here are clear: technological tools

should be integrated into vocabulary learning

programs as a complementary resource rather than a

standalone solution. For learners who thrive on

autonomy and frequent practice, digital tools provide


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a dynamic and flexible environment that fosters

consistent improvement. However, teachers should be

available to offer additional support and address gaps

that technology may not fully cover, such as complex

explanations or context-specific usage.

Comparison and the Case for Blended Learning

The comparison between the traditional and

technological groups highlights the strengths and

limitations of each approach. The technological group

outperformed the traditional group in terms of speed

and scale of improvement, suggesting that digital tools

are more effective in providing immediate, engaging,

and flexible learning opportunities. However, the

structured environment and teacher support offered

by traditional methods remained valuable, particularly

for students like N.J., who needed routine and

discipline to focus on learning.

Given these findings, the case for a blended learning

approach becomes evident. A combination of

traditional methods and technological tools could

provide a more holistic and effective learning

experience, catering to the diverse needs of all

students. For example, technological tools can be used

for independent practice and reinforcement of

vocabulary, while traditional classroom instruction can

focus on deeper explanations, discussions, and real-

world application. This balance would allow learners to

benefit from both the structure and discipline of

traditional methods and the engagement and flexibility

of technological tools.

Addressing Diverse Learning Styles

The results of this study also underline the importance

of recognizing and addressing the diverse learning

styles present in any classroom. While some students,

like J.I. and A.A., excelled with technological tools,

others, such as M.O., struggled with the rigid structure

of traditional methods. To accommodate these

differences, educators should consider offering

multiple pathways for vocabulary acquisition. This

might involve providing students with a choice of

resources

both

digital

and

traditional

or

incorporating a variety of teaching techniques within

the same lesson to engage different types of learners.

For instance, teachers could use a digital platform like

Quizlet or Memrise for homework assignments, while

using traditional in-class discussions and flashcard

activities for group learning. This multimodal approach

ensures that students can engage with vocabulary in

ways that suit their learning preferences, whether they

are visual, auditory, or kinesthetic learners.

CONCLUSION

The findings from this study demonstrate the distinct

advantages and limitations of both traditional and

technological methods for vocabulary acquisition

among intermediate-level English learners. The


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traditional vocabulary learning group showed steady,

yet moderate progress over the six-week period, with

students achieving improvements of 15-20% on

average. This suggests that traditional, structured

approaches such as teacher-led instruction and

repetition exercises are effective in fostering gradual

vocabulary acquisition. However, for some students,

these methods lacked the engagement and real-world

application necessary to enhance long-term retention

and meaningful use of vocabulary. The structured

nature of traditional methods, while beneficial for

students seeking routine and direct feedback, may not

cater to learners who require more dynamic or

personalized approaches.

On the other hand, the technological vocabulary

learning group displayed rapid and more pronounced

improvements, with weekly gains of 10-15%, and post-

test scores reaching as high as 100%. The flexibility and

interactivity provided by digital tools like mobile apps

and digital flashcards appeared to significantly

contribute to students' engagement and retention.

These tools allowed learners to practice vocabulary on

their own time, often using engaging features such as

spaced repetition, quizzes, and immediate feedback.

While these methods proved highly effective for

learners who thrived in autonomous, technology-

driven environments, some students noted occasional

technical issues and a lack of real-time teacher

interaction.

The comparison between these two groups

underscores the unique strengths and weaknesses of

each approach. While technological tools provided a

faster and more engaging learning experience,

traditional methods offered valuable structure,

teacher support, and discipline that some students

found crucial for their learning. Consequently, this

study highlights the potential of a blended learning

model, combining the best aspects of both traditional

and technological approaches. A balanced approach

using digital tools for independent practice and

traditional instruction for deeper exploration and real-

world application

could address the diverse needs of

learners and optimize vocabulary acquisition.

Furthermore, the findings emphasize the importance

of accommodating different learning styles within the

classroom. While some students excelled with the

flexibility of technological tools, others struggled with

the rigid repetition of traditional methods. Offering a

variety of learning pathways, including both digital and

traditional resources, can help cater to these varying

preferences. Educators should therefore aim to create

a multimodal learning environment that incorporates

multiple strategies to engage students with different

preferences, whether they are visual, auditory, or

kinesthetic learners.

In conclusion, this study illustrates that both traditional

and technological methods have valuable roles to play

in vocabulary acquisition. By integrating these


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Volume 04 Issue 10-2024

28


American Journal Of Social Sciences And Humanity Research
(ISSN

2771-2141)

VOLUME

04

ISSUE

10

P

AGES

:

16-29

OCLC

1121105677
















































Publisher:

Oscar Publishing Services

Servi

approaches into a cohesive, blended learning model,

educators can provide a more comprehensive,

effective, and flexible learning experience that

accommodates the diverse needs of learners. This

blended approach not only fosters better vocabulary

retention and engagement but also equips students

with the tools and strategies they need to apply their

knowledge in real-world contexts, ensuring long-term

success in language learning.

REFERENCES

1.

Alammary, A., Sheard, J., & Carbone, A. (2014).

Blended learning in higher education: Three

different design approaches. Australasian Journal

of Educational Technology, 30(4), 440-454.

2.

Bielawski, L., & Metcalf, D. (2003). Blended

eLearning: Integrating knowledge, performance

support, and online learning. HRD Press.

3.

Chapelle, C. A. (2009). The relationship between

second language acquisition theory and computer-

assisted language learning. Modern Language

Journal, 93(S1), 741-753.

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Dudeney, G., & Hockly, N. (2012). How to teach

English with technology. Pearson Education.

5.

Garrison, D. R., & Kanuka, H. (2004). Blended

learning: Uncovering its transformative potential in

higher education. The Internet and Higher

Education, 7(2), 95-105.

6.

Garrison, D. R., & Vaughan, N. D. (2008). Blended

learning in higher education: Framework,

principles, and guidelines. John Wiley & Sons.

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Graham, C. R., & Roberts, G. (2007). Technology-

enhanced language learning: Shaping the future of

teaching and learning. In C. R. Graham (Ed.),

Blended learning systems (pp. 1-23). John Wiley &

Sons.

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Наркулова, И. Р. К. (2023). Профессионально

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ориентированное обучение русскому языку

курсантов юридического профиля на основе

интерактивной

программы.

Science

and

Education, 4(2), 1348-1352.

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Graham, C. R. (2012). Emerging practice and

research in blended learning. In M. G. Moore (Ed.),

Handbook of distance education (pp. 333-350).

Routledge.

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угли Наркулов, А. К. (2022). Патрулирование

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основа обеспечения общественного порядка.

Science and Education, 3(11), 1334-1339.

11.

Ёкубова И. Р. Формирование профессиональной

компетентности тюркоязычных студентов при

обучении русскому языку как иностранному (на

примере авторской интерактивной программы

«Русский язык для военных юристов») //II

Международный конгресс «Языковая политика

стран Содружества Независимых Государств

(СНГ)». –

2021.

С. 207

-209.

12.

Graham, C. R., Woodfield, W., & Harrison, J. B.

(2013). A framework for institutional adoption and


background image

Volume 04 Issue 10-2024

29


American Journal Of Social Sciences And Humanity Research
(ISSN

2771-2141)

VOLUME

04

ISSUE

10

P

AGES

:

16-29

OCLC

1121105677
















































Publisher:

Oscar Publishing Services

Servi

implementation of blended learning in higher

education. The Internet and Higher Education, 18,

4-14.

13.

Harmer, J. (2007). The practice of English language

teaching (4th ed.). Pearson Longman.

14.

Khazaei, S., & Dastjerdi, H. V. (2011). The effect of

SMS-based instruction on the acquisition of English

vocabulary among Iranian high school students.

Journal of Language Teaching and Research, 2(5),

1111-1115.

15.

Kim, H. K. (2012). Using authentic videos to

improve EFL students’ listening comprehension.

Digital Education Review, 21, 40-45.

16.

ў

ғ

ли

Наркулов

,

А

.

К

. (2023).

Алгоритмизация

как

эффективный

метод

оптимизации

патрулирования

. Science and Education, 4(1),

1165-1168.

17.

Kukulska-Hulme, A., & Shield, L. (2008). An

overview of mobile assisted language learning:

From content delivery to supported collaboration

and interaction. ReCALL, 20(3), 271-289.

18.

Marsh, D. (2012). Blended learning: Creating

learning opportunities for language learners.

Cambridge University Press.

19.

Mayer, R. E. (2009). Multimedia learning (2nd ed.).

Cambridge University Press.

20.

Muratovich, M. R., & Abdurahmonovich, Q. A.

(2021). Children's and Girls' Community Learning

and

Raising

Their

Children's

Community.

Academicia Globe, 2(10), 92-98.

21.

Nation, I. S. P. (2013). Learning vocabulary in

another language (2nd ed.). Cambridge University

Press.

22.

Oliver, M., & Trigwell, K. (2005). Can ‘blended

learning’ be redeemed? E

-learning and Digital

Media, 2(1), 17-26.

23.

Pazio, M. (2010). Blended learning and its potential

in expanding vocabulary knowledge: A case study

of Polish students of English. Studies in Second

Language Learning and Teaching, 2(4), 483-499.

24.

Thornbury, S. (2002). How to teach vocabulary.

Pearson Education.

25.

Tosun, S. (2015). The effects of blended learning on

EFL students’ vocabulary enhancement. Procedia

-

Social and Behavioral Sciences, 199, 641-647.

26.

Vygotsky, L. S. (1978). Mind in society: The

development of higher psychological processes.

Harvard University Press.

27.

Warschauer, M. (2010). New tools for teaching

writing. Language Learning & Technology, 14(1), 3-

8.

28.

Zhang, H., Song, W., & Burston, J. (2011).

Reexamining the effectiveness of vocabulary

learning via mobile phones. Turkish Online Journal

of Educational Technology, 10(3), 203-214.

References

Alammary, A., Sheard, J., & Carbone, A. (2014). Blended learning in higher education: Three different design approaches. Australasian Journal of Educational Technology, 30(4), 440-454.

Bielawski, L., & Metcalf, D. (2003). Blended eLearning: Integrating knowledge, performance support, and online learning. HRD Press.

Chapelle, C. A. (2009). The relationship between second language acquisition theory and computer-assisted language learning. Modern Language Journal, 93(S1), 741-753.

Dudeney, G., & Hockly, N. (2012). How to teach English with technology. Pearson Education.

Garrison, D. R., & Kanuka, H. (2004). Blended learning: Uncovering its transformative potential in higher education. The Internet and Higher Education, 7(2), 95-105.

Garrison, D. R., & Vaughan, N. D. (2008). Blended learning in higher education: Framework, principles, and guidelines. John Wiley & Sons.

Graham, C. R., & Roberts, G. (2007). Technology-enhanced language learning: Shaping the future of teaching and learning. In C. R. Graham (Ed.), Blended learning systems (pp. 1-23). John Wiley & Sons.

Наркулова, И. Р. К. (2023). Профессионально-ориентированное обучение русскому языку курсантов юридического профиля на основе интерактивной программы. Science and Education, 4(2), 1348-1352.

Graham, C. R. (2012). Emerging practice and research in blended learning. In M. G. Moore (Ed.), Handbook of distance education (pp. 333-350). Routledge.

угли Наркулов, А. К. (2022). Патрулирование-основа обеспечения общественного порядка. Science and Education, 3(11), 1334-1339.

Ёкубова И. Р. Формирование профессиональной компетентности тюркоязычных студентов при обучении русскому языку как иностранному (на примере авторской интерактивной программы «Русский язык для военных юристов») //II Международный конгресс «Языковая политика стран Содружества Независимых Государств (СНГ)». – 2021. – С. 207-209.

Graham, C. R., Woodfield, W., & Harrison, J. B. (2013). A framework for institutional adoption and implementation of blended learning in higher education. The Internet and Higher Education, 18, 4-14.

Harmer, J. (2007). The practice of English language teaching (4th ed.). Pearson Longman.

Khazaei, S., & Dastjerdi, H. V. (2011). The effect of SMS-based instruction on the acquisition of English vocabulary among Iranian high school students. Journal of Language Teaching and Research, 2(5), 1111-1115.

Kim, H. K. (2012). Using authentic videos to improve EFL students’ listening comprehension. Digital Education Review, 21, 40-45.

ўғли Наркулов, А. К. (2023). Алгоритмизация как эффективный метод оптимизации патрулирования. Science and Education, 4(1), 1165-1168.

Kukulska-Hulme, A., & Shield, L. (2008). An overview of mobile assisted language learning: From content delivery to supported collaboration and interaction. ReCALL, 20(3), 271-289.

Marsh, D. (2012). Blended learning: Creating learning opportunities for language learners. Cambridge University Press.

Mayer, R. E. (2009). Multimedia learning (2nd ed.). Cambridge University Press.

Muratovich, M. R., & Abdurahmonovich, Q. A. (2021). Children's and Girls' Community Learning and Raising Their Children's Community. Academicia Globe, 2(10), 92-98.

Nation, I. S. P. (2013). Learning vocabulary in another language (2nd ed.). Cambridge University Press.

Oliver, M., & Trigwell, K. (2005). Can ‘blended learning’ be redeemed? E-learning and Digital Media, 2(1), 17-26.

Pazio, M. (2010). Blended learning and its potential in expanding vocabulary knowledge: A case study of Polish students of English. Studies in Second Language Learning and Teaching, 2(4), 483-499.

Thornbury, S. (2002). How to teach vocabulary. Pearson Education.

Tosun, S. (2015). The effects of blended learning on EFL students’ vocabulary enhancement. Procedia - Social and Behavioral Sciences, 199, 641-647.

Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.

Warschauer, M. (2010). New tools for teaching writing. Language Learning & Technology, 14(1), 3-8.

Zhang, H., Song, W., & Burston, J. (2011). Reexamining the effectiveness of vocabulary learning via mobile phones. Turkish Online Journal of Educational Technology, 10(3), 203-214.