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ARTIFICIAL INTELLIGENCE IN TEACHING ENGLISH PHONETICS.
Bakieva Saken Toktalievna
Osh state university. Osh. Kyrgyzstan
Teshebaeva Alima
Osh state university. Osh. Kyrgyzstan
Isakova Mirgul
Osh state university. Osh. Kyrgyzstan
https://doi.org/10.5281/zenodo.15082333
Abstract:
Artificial Intelligence (AI) is a transformative field of computer
science that enables machines to simulate human intelligence. AI encompasses a
range of techniques, including machine learning, deep learning, and natural
language processing, allowing systems to analyze data, recognize patterns, and
make decisions with minimal human intervention. It has applications across
industries such as healthcare, finance, education, and autonomous systems,
revolutionizing efficiency and productivity. Despite its benefits, AI raises ethical
concerns, including bias, privacy, and job displacement. Ongoing research aims
to develop more transparent, ethical, and generalizable. AI models to ensure
responsible integration into society. AI continues to evolve, shaping the future of
technology and human interaction. Educators see opportunities to use AI-
powered capabilities like speech recognition to increase the support available to
students with disabilities, multilingual learners, and others who could benefit
from greater adaptivity and personalization in digital tools for learning.
They are exploring how AI can enable writing or improving lessons, as well
as their process for finding, choosing, and adapting material for use in their
lessons.
Key words:
artificial intelligence, transformative, deep learning, machine
learning, efficiency, productivity, bias, privacy, displacement, transparent,
ethical, evolve, interaction, multilingual, adaptivity, personalization, digital tools,
bias.
Аннотация:
Искусственный интеллект (ИИ) — это революционная область
информатики, которая позволяет машинам имитировать человеческий
интеллект. ИИ включает в себя ряд методов, включая машинное обучение,
глубокое обучение и обработку естественного языка, позволяя системам
анализировать данные, распознавать закономерности и принимать
решения с минимальным вмешательством человека. Он находит
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применение в таких отраслях, как здравоохранение, финансы, образование
и автономные системы, совершая революцию в эффективности и
производительности. Несмотря на свои преимущества, ИИ вызывает
этические проблемы, включая предвзятость, конфиденциальность и
увольнение. Текущие исследования направлены на разработку более
прозрачных, этических и обобщающих методов. Модели искусственного
интеллекта для обеспечения ответственной интеграции в общество. ИИ
продолжает развиваться, формируя будущее технологий и человеческого
взаимодействия. Преподаватели видят возможности использования
возможностей искусственного интеллекта, таких как распознавание речи,
для увеличения поддержки, доступной учащимся с ограниченными
возможностями, многоязычным учащимся и другим людям, которые
могли бы извлечь выгоду из большей адаптивности и персонализации
цифровых инструментов обучения.
Они изучают, как ИИ может помочь в написании или улучшении
уроков, а также в процессе поиска, выбора и адаптации материалов для
использования на уроках.
Ключевые слова:
искусственный интеллект, трансформация,
глубокое
обучение,
машинное
обучение,
эффективность,
производительность, предвзятость, конфиденциальность, вытеснение,
прозрачность, этика, развитие, взаимодействие, многоязычность,
адаптивность, персонализация, цифровые инструменты, предвзятость.
Аннотация:
Жасалма
интеллект
(AI)
-
бул
компьютердик
илимдин
трансформациялык тармагы, ал машиналарга адамдын интеллектин
окшоштурууга мүмкүндүк берет. AI бир катар техникаларды камтыйт,
анын ичинде машина менен үйрөнүү, терең үйрөнүү жана табигый тилди
иштетүү, системаларга маалыматтарды анализдөөгө, үлгүлөрдү таанууга
жана адамдын минималдуу кийлигишүүсү менен чечим кабыл алууга
мүмкүндүк берет. Бул саламаттыкты сактоо, финансы, билим берүү жана
автономдуу
системалар
сыяктуу
тармактарда
колдонулуп,
натыйжалуулукту жана өндүрүмдүүлүктү өзгөртөт. Пайдалуулугуна
карабастан, AI этикалык кооптонууну, анын ичинде бир жактуулукту,
купуялуулукту жана жумуш ордун алмаштырууну жаратат. Үзгүлтүксүз
изилдөөлөр ачык-айкын, этикалык жана жалпылоону өнүктүрүүгө
багытталган. Коомго жоопкерчиликтүү интеграцияны камсыз кылуу үчүн
AI моделдери. AI өнүгүүнү улантууда, технологиянын жана адамдардын өз
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ара аракеттенүүсүнүн келечегин түзүүдө. Мугалимдер ден соолугунун
мүмкүнчүлүгү чектелген студенттерге, көп тилдүү окуучуларга жана
санариптик
инструменттерде
көбүрөөк
адаптациялоодон
жана
жекелештирүүдөн пайда ала турган колдоону жогорулатуу үчүн сүйлөө
таануу сыяктуу AI менен иштеген мүмкүнчүлүктөрдү колдонуу
мүмкүнчүлүктөрүн көрүшөт.
Алар AI кантип сабактарды жазууга же жакшыртууга жардам бере
аларын, ошондой эле алардын сабактарында колдонуу үчүн материалды
табуу, тандоо жана ыңгайлаштыруу процессин изилдеп жатышат.
Негизги сөздөр: жасалма интеллект, трансформациялоочу, терең
үйрөнүү, машинаны үйрөнүү, эффективдүүлүк, өндүрүмдүүлүк, бир
тараптуулук, купуялуулук, жылыш, ачык, этикалык, эволюция, өз ара
аракеттенүү, көп тилдүү, адаптация, персоналдаштыруу, санариптик
инструменттер, тенденция.
Introduction
Artificial Intelligence (AI) is a branch of computer science focused on
creating systems that can perform tasks typically requiring human intelligence.
These tasks include learning, reasoning, problem-solving, perception, and
language understanding. AI has grown exponentially over the past few decades,
shaping industries, revolutionizing technology, and influencing everyday life.
The U.S. Department of Education (Department) is committed to supporting the
use of technology to improve teaching and learning and to support innovation
throughout educational systems. This report addresses the clear need for
sharing knowledge and developing policies for “Artificial Intelligence,” a rapidly
advancing class of foundational capabilities which are increasingly embedded in
all types of educational technology systems and are also available to the public.
We will consider “educational technology” (edtech) to include both (a)
technologies specifically designed for educational use, as well as (b) general
technologies that are widely used in educational settings. Recommendations in
this report seek to engage teachers, educational leaders, policy makers,
researchers, and educational technology innovators and providers as they work
together on pressing policy issues that arise as Artificial Intelligence (AI) is used
in education. AI can be defined as “automation based on associations.”
When computers automate reasoning based on associations in data (or
associations deduced from expert knowledge), two shifts fundamental to AI
occur and shift computing beyond conventional edtech: (1) from capturing data
to detecting patterns in data and (2) from providing access to instructional
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resources to automating decisions about instruction and other educational
processes. Detecting patterns and automating decisions are leaps in the level of
responsibilities that can be delegated to a computer system.
To develop guidance for edtech, the Department works closely with
educational constituents. These constituents include educational leaders—
teachers, faculty, support staff, and other educators—researchers; policymakers;
advocates and funders; technology developers; community members and
organizations; and, above all, learners and their families/caregivers. Recently,
through its activities with constituents, the Department noticed a sharp rise in
interest and concern about AI. For example, a 2021 field scan found that
developers of all kinds of technology systems—for student information,
classroom instruction, school logistics, parent teacher communication, and
more—expect to add AI capabilities to their systems.
Through a series of four listening sessions conducted in June and August
2022 and attended by more than 700 attendees, it became clear that
constituents believe that action is required now in order to get ahead of the
expected increase of AI in education technology—and they want to roll up their
sleeves and start working together.
In late 2022 and early 2023, the public became aware of new generative AI
chatbots and began to explore how AI could be used to write essays, create
lesson plans, produce images, create personalized assignments for students, and
more.
From public expression in social media, at conferences, and in news media,
the Department learned more about risks and benefits of AI-enabled chatbots.
And yet this report will not focus on a specific AI tool, service, or announcement,
because AI-enabled systems evolve rapidly. Finally, the Department engaged the
educational policy expertise available internally and in its relationships with AI
policy experts to shape the findings and recommendations in this report.
Today, many priorities for improvements to teaching and learning are
unmet. Educators seek technology-enhanced approaches addressing these
priorities that would be safe, effective, and scalable. Naturally, educators wonder
if the rapid advances in technology in everyday lives could help. Like all of us,
educators use AI-powered services in their everyday lives, such as voice
assistants in their homes; tools that can correct grammar, complete sentences,
and write essays; and automated trip planning on their phones.
Educators see opportunities to use AI-powered capabilities like speech
recognition to increase the support available to students with disabilities,
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multilingual learners, and others who could benefit from greater adaptivity and
personalization in digital tools for learning. They are exploring how AI can
enable writing or improving lessons, as well as their process for finding,
choosing,
and
adapting
material
for
use
in
their
lessons.
has become a potent technology with great potential
changing how we teach and learn
. AI has the power to transform education,
creating new opportunities and improving students’ educational experiences.AI
in education delivers individualized learning opportunities that meet the specific
needs of each student. Through intelligent algorithms and data analysis, AI can
adapt content, pace, and instructional approaches to match students’ unique
learning styles and abilities. This personalized
approach fosters engagement and
boosts student achievement Moreover, AI provides interactive
and immersive learning experiences.
Virtual reality (VR) and augmented reality (AR) technologies powered by
AI enable students to explore simulations, visit historical sites, or engage in
hands-on experiments, bringing abstract concepts to life and deepening their
understanding. AI also saves time and streamlines administrative tasks,
allowing educators to focus more on instruction and student support.
Automated grading, data analysis, and administrative processes help alleviate
the burden of paperwork, freeing up valuable time for teachers to engage in
meaningful interactions with their students.
II How Can We Use AI in Teaching English Phonetics?
Phonetics, the study of the sounds of human speech, plays a crucial role in
mastering English pronunciation. For non-native speakers, mastering English
phonetics can be challenging, as English pronunciation often does not match its
spelling. Artificial intelligence (AI) can offer innovative tools to help learners
improve their phonetic skills. This report explores how AI can be used
specifically in teaching English phonetics, the advantages it provides, and the
challenges that still remain.
There are several AI tools that can be effectively used in teaching English
phonetics. These tools help with various aspects such as pronunciation practice,
phonetic transcription, auditory discrimination, and personalized feedback.
Here’s a list of AI-powered tools that can aid in teaching English phonetics:
1
.
Speech Recognition Tools
.
These tools use AI to analyze speech and provide feedback on
pronunciation accuracy.
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●
Google Speech-to-Text
: An AI-powered tool that converts spoken words
into written text, helping learners identify if their pronunciation matches the
expected words.
●
ELSA Speak
: An AI-based pronunciation app that offers real-time
feedback on the accuracy of English pronunciation and helps with specific
phonetic sounds.
●
Speech Ace
: Provides speech recognition and pronunciation feedback,
offering detailed reports on various aspects like consonant sounds, vowels, and
stress patterns.
2.
Text-to-Speech (TTS) Tools.
AI TTS tools can generate high-quality,
natural-sounding speech, which is useful for pronunciation practice.
●
Google Text-to-Speech
: This tool can read out words or sentences,
allowing students to hear accurate pronunciation, stress, and intonation
patterns.
●
Natural Reader
: Offers TTS that mimics native speakers' pronunciation,
allowing students to compare their pronunciation with the AI's output.
3
.
Phonetic Transcription Tools.
These tools convert words into their
IPA (International Phonetic Alphabet) transcriptions, helping students
understand the phonetic representation of words.
●
Easy Pronunciation
: Automatically generates IPA transcriptions for
English words and allows learners to compare these with their pronunciation.
●
Phonemic Chart
: A tool that shows the phonetic alphabet and provides
IPA symbols for different English sounds. It also includes listening practice for
those sounds.
●
IPA Translator
: Converts English words or phrases into their IPA
equivalents, helping students visualize the sounds behind the words.
4.
These apps use AI to give personalized feedback and guide students
through pronunciation exercises.
●
Forvo
: A community-driven pronunciation tool that offers native
pronunciations of words in different English accents. AI can help enhance these
recordings with standardized phonetic symbols.
●
Pronouncing
: Offers lessons and exercises on English phonetics, including
vowel and consonant sounds, and uses AI to help with sound recognition and
feedback.
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5. Phonetic Analysis Tools.
These
AI-
powered tools allow learners to visually analyze their speech and understand
acoustic features.
●
Praat
: A powerful software that uses AI to analyze and visualize speech
sounds, including pitch, tone, and stress patterns. This is useful for detailed
phonetic analysis.
●
Audacity
: While not strictly AI-driven, Audacity offers visual
spectrograms that can be enhanced with AI tools to analyze pronunciation
patterns.
6. Accent and Dialect Tools .
AI tools can help students understand and improve their pronunciation to
match a specific accent or dialect.
Rosetta Stone
: Uses AI to provide speech recognition and feedback on
pronunciation. It also helps learners improve fluency in different accents.
●
Babbel
: An AI-powered language learning platform that adapts to the
learner’s progress, providing tailored lessons to improve pronunciation,
including regional variations in English.
7.
Speech-Based Learning Platforms.
These platforms use AI to assess and improve pronunciation through
conversation and real-time feedback.
Duolingo
: Uses speech recognition to help students practice English
pronunciation and phonetics in a gamified environment.
Speechling
: A platform that provides personalized pronunciation coaching
through AI feedback and human recordings.
8. Minimal Pair Recognition Tools.
AI tools can generate and assess minimal pairs (pairs of words with only
one phonetic difference), helping students discriminate between similar sounds.
●
English Class101
: Offers lessons with minimal pair exercises that AI
analyzes for pronunciation accuracy.
●
Pronunciation Power
: Provides practice on minimal pairs and gives
feedback on whether the learner’s pronunciation is correct or not.
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9. Artificial Intelligence Chatbots.
These AI-powered tools simulate real-life conversations, allowing students
to practice pronunciation and phonetics interactively
.
●
Replika
: An AI chatbot that can engage in conversations with learners.
Though primarily designed for general conversation, it helps learners practice
English pronunciation in a low-stress environment.
●
Mitsuku
: Another chatbot that can engage learners in conversation,
helping them improve their speaking and listening skills.
10. Virtual Reality (VR) and Augmented Reality (AR) Tools.
VR/AR applications can provide immersive environments for phonetics
practice, using AI to assess pronunciation in real-world scenarios.
●
Mondly AR
: An AI-powered language learning platform that uses
augmented reality to engage students in conversation, improving pronunciation
through virtual interactions.
●
Engage VR
: An immersive VR learning environment that could be used for
phonetics practice, incorporating speech recognition and real-time feedback.
11. AI-Driven Personalized Learning Platforms.
These platforms adapt to the learner’s pace, focusing on areas where they
struggle most with phonetics.
●
Siri
: Apple's voice assistant, which can recognize and respond to various
accents and speech patterns, helping learners practice and refine their
pronunciation.
●
Google Assistant
: Can also be used as an AI tool for pronunciation
practice and to listen to standard English pronunciations.
12. Voice Synthesis and Analysis for Stress and Intonation
These AI tools focus on the prosody of speech, such as stress, rhythm, and
intonation
.
●
VoxSigma
: A speech synthesis tool that focuses on prosody and phonetic
accuracy, helping students understand stress and intonation in natural English
speech.
13. AI-Powered Phonetic Correction for Writing
AI-based writing assistants can also support phonetic learning by
suggesting corrections based on phonetic patterns.
●
Grammarly
: While primarily a writing tool, Grammarly's AI can highlight
phonetic or pronunciation-related errors when learners input transcriptions,
helping them visualize and improve spoken English through written feedback.
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Conclusion:
AI has enormous potential to enhance the teaching of English phonetics.
From personalized pronunciation feedback to interactive speech exercises, AI
tools help learners master the sounds of English in ways that were previously
impossible. By providing immediate correction, visualizing speech patterns, and
offering real-time conversational practice, AI can help students improve their
phonetic skills more quickly and efficiently. AI tools provide dynamic ways to
teach English phonetics, from pronunciation feedback to personalized practice.
By integrating these tools into lessons, students can engage with the language
more effectively, receive instant feedback, and develop better auditory
discrimination and articulation skills.
Recently all teachers and students are eager to use AI in their study. But
there are some cons and cons of using it.
The process of developing an AI system may lead to bias in how patterns
are detected and unfairness in how decisions are automated. Thus, educational
systems must govern their use of AI systems.
Additionally, AI brings interactive and immersive learning experiences into
the classroom. With the aid of virtual reality (VR) and augmented reality (AR)
technology, students can explore historical events, carry out scientific
experiments, or become fully immersed in other cultures. These activities not
only capture students’ attention but also help them comprehend difficult
concepts more thoroughly.
Also, AI streamlines administrative tasks, freeing up valuable time for
teachers to focus on instruction and student support. Automated grading
systems, data analysis tools, and administrative assistants powered by AI help
reduce the burden of paperwork and repetitive tasks, allowing teachers to
allocate more time for creative lesson planning and
individualised
attention.
While the integration of AI in education brings numerous advantages, it also
poses critical thinking challenges that educators and students need to address.
In our experience, relying solely on AI for learning can hinder the development
of essential cognitive skills
However, while AI offers numerous benefits, it is crucial to strike a
balance
.
The human touch remains essential in education. The development of social
skills, emotional intelligence, and critical thinking receives significant support
from teachers. Rather than replacing human connection, AI should be used as a
complementary tool to improve the student-teacher relationship and the
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learning process. Creativity and innovation may suffer if students rely solely on
AI-generated ideas. AI can provide solutions based on existing patterns, but it
may lack the capacity for imagination and thinking “outside the box.” Educators
must foster an environment that encourages originality and divergent thinking,
promoting human creativity alongside AI support. Large volumes of data are
used to construct AI systems, and data that has biases might provide
discriminating results.
Literatures:
1.Teachers partnering with artificial intelligence: Augmentation and automation.
Digital Promise. https://digitalpromise.org/2022/07/06/teachers-partnering-
with-artificial-intelligence-augmentation-and-automation.
2. Hammerness, K., Darling-Hammond, L., & Bransford, J. (2005). Preparing
teachers for a changing world: What teachers should learn and be able to do.
Jossey-Bass. ISBN: 0787996343 3. Bryant, J., Heitz,C., Sanghvi, S., & Wagle, D.
(2020, January 14). How artificial intelligence will impact K-12 teachers.
McKinsey.
https://www.mckinsey.com/industries/education/our-
insights/how-artificial-intelligence-will-impact-k-12- teachers
4.Molenaar, I. (2022). Towards hybrid human-AI learning technologies.
European Journal of Education, 00, 1–14. https://doi.org/10.1111/ejed.12527
5. Khosravi, H., Shum, S.B., Chen, G, Conati, C., Tsai,Y-S., Kay, J., Knight, S.,
Martinez-Maldonado, R., Sadiq, S., Gašević, D. (2022). Explainable artificial
intelligence in education. Computers and Education: Artificial Intelligence, 3.
https://doi.org/10.1016/j.caeai.2022.100074
