The impact of AI on language learning

Charlotte Guest
People sat in a office, one with a VR headset on smiling and gesturing with the other two watching

Recently, Artificial Intelligence (AI) has shown itself to be a useful and breakthrough tool for many things, including language learning. Educators, learners and businesses are constantly seeking effective methods to impart language skills and AI-powered solutions have proved to be invaluable assets in this regard.

The impact of AI on language learning is multifaceted, presenting opportunities as well as challenges for educators, learners and corporate entities. According to a , many institutions say that AI will be instrumental to improving their competitiveness, funding, and innovation.

It is a widely discussed topic nowadays. While it has its advantages, there are also some drawbacks to consider.

The impact of AI on language learning
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Pros

Personalized learning

AI-powered language learning platforms analyze user's strengths, weaknesses, learning pace, and preferences to offer a personalized learning path. This approach enhances engagement and optimizes learning outcomes and goals.

Accessible

These types of applications and programs enable language learners to access lessons, exercises, and tutoring from anywhere, at any time, breaking down barriers and offering flexibility to learners worldwide. It can aid and support students with additional needs, making learning a lot less of an obstacle. For example, condensing/summarising content or tasks in an understandable way or suggesting word alternatives, just to name a few.

Enhanced and immediate feedback

It can provide learners with instantaneous feedback on their pronunciation, grammar, and vocabulary usage. This feedback allows learners to identify their mistakes and rectify them promptly, accelerating the learning process. AI can use advanced voice recognition technology to detect the learner's pronunciation and accent to provide accurate feedback.

With real-time analysis, algorithms can identify errors and suggest corrections right away and feedback is personalized.? Based on the level of proficiency, algorithms can provide suggestions that are easy to understand and implement. This means more time to do other things, without worrying about providing or waiting for feedback.

Augmented teaching

AI tools are used to supplement traditional teaching methods. They help teachers create dynamic lesson plans, track student progress and identify areas that require additional attention, enhancing overall teaching effectiveness. This makes teaching more effective and enjoyable for both teachers and students. Plus, it takes some of the pressure off teachers by lightening their workload.

Cons

Lack of human interaction

AI has a significant limitation in language learning as it lacks the ability to provide authentic human interaction. Language acquisition is a complex process that involves cultural nuances and subtle communication cues that AI may not be able to fully comprehend. As a result, the immersive experience may be limited.

We have not yet reached a level where AI is proficient in natural spoken conversation, so its ability to assist in certain language contexts is currently limited. It will no doubt develop over time, but currently, it's not at a developed enough level. There are upcoming experimental conversational tools like , developed by Google, which are great examples of AI-powered conversation simulators.? ?

Plagiarism and overreliance

Excessive reliance on AI-based tools might hinder the development of self-reliance and critical thinking skills in learners. Relying solely on technology and the ability to adapt to diverse real-world linguistic scenarios.?Teachers are also more likely to face the challenge of students submitting AI-generated assignments.

So tools and systems will have to be implemented to check and identify any unoriginal AI-generated content. But this will be a constant process; as AI evolves and improves, so will plagiarism systems; it will likely be a constant race to keep up.?Commonly used like are now incorporating checks for AI-generated content; the company reported that reviewed had been flagged as having its majority content AI-generated.?

Unequal access/resources

There is a concern that not all learners may have equal access to these tools due to technological disparities, which could create a learning divide. While some schools and institutions may have the resources to invest in advanced AI systems and software, others may lack the necessary infrastructure or funding to provide their students with the same level of access.

This could mean that students in less privileged communities or schools may be at a disadvantage, missing out on the benefits of AI-powered learning tools and falling behind their peers who have access to them. Technology typically becomes cheaper over time, due to things like improved manufacturing processes, wider circulation and broader competition but this still may mean less privileged institutions could be left behind, using older or previous-generation tech which may not be as easy to use and learn from.

Privacy and ethics

AI-powered language learning platforms collect a large amount of user data. However, many users are concerned about data privacy, security breaches, and of their personal information. As AI is implemented more heavily into platforms, it will require more data to function effectively. Therefore, advanced security systems must be implemented and kept up to date to ensure that user data is securely protected from potential data breaches.?

As it's integrated more into people's lives and work, countries have begun Implementing AI-related laws to ensure the safe and ethical use of AI in daily life. Similarly, as AI develops, laws will need to constantly develop to keep up to date with technological advancements.?

What about the future?

The field of language learning has a promising future with the advancement of AI. Below are some potential predictions for the not-so-far-away future:

Advancements in natural language processing (NLP)

?will likely continue to advance, allowing AI systems to better understand, interpret, and generate human language. Helping it to understand the subtleties of human emotion. This will result in more advanced language learning applications with contextual understanding and nuanced feedback.

Enhanced multilingual capabilities

As technology advances, AI-driven language learning platforms are becoming increasingly popular. These platforms are now being designed to offer greater support for a wide range of languages, catering to the diverse linguistic needs of individuals worldwide. This will enable more people to access quality language education, regardless of their location or background.

With the help of these platforms, language learners could benefit from personalized and immersive learning experiences that are tailored to their unique needs and preferences.

Greater integration of Virtual Reality (VR) and Augmented Reality (AR)

VR and AR with AI will revolutionize the way we learn languages. This cutting-edge technology will create highly immersive environments that simulate real-life scenarios, allowing learners to practice their language skills in a safe and controlled environment. Mondly by 色猫AV is a great example of using this kind of technology in language learning with their and apps.?

One example is that students could use virtual reality to travel to a foreign country and communicate with native speakers in real time. Easily ordering food from local restaurants or navigating through the city, all within the virtual reality platform. This type of experiential learning could significantly enhance cultural understanding, improve communication skills, and boost language proficiency, all in the comfort of home, school, or even the workplace.

With the increasing affordability and accessibility of such technologies, it is expected that such learning experiences will become more common. There are already VR with AI-controlled characters to produce more realistic and expanded responses to conversations, rather than responses being limited by a select few pre-programmed choices and getting the same few responses. This could also expand to language learning games/simulations.?

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The impact of AI on language learning is unquestionably transformative. It offers personalized, accessible, and efficient learning experiences. However, there are challenges such as the lack of human interaction and data privacy concerns. Therefore, we need to maintain a balanced approach while leveraging AI for language education.

As technology evolves, it's crucial to harness its potential while preserving the essence of authentic language acquisition and cultural understanding. The future promises exciting advancements that will further revolutionize language learning through AI integration.?

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    Communicating in English goes far beyond simply learning English vocabulary. In fact, there are many non-verbal strategies you can leverage to appear more confident as you improve your English. Below you’ll find three of the most important aspects of non-verbal communication to work on:

    Make eye contact when you speak in English

    When you’re talking to someone, it’s best to look them in the eye as much as possible. This shows that you are engaged in the conversation and listening intently when not speaking. Especially in loud environments, you may find your eyes drawn to someone’s lips as they talk. While it may help you better understand what they’re saying in a noisy place, like a restaurant, aim to maintain eye contact as much as you can (but do remember to take a quick break away once in a while so as to not stare too intently).

    Be mindful of body language

    What you’re doing with your hands and the facial expressions you make can say a lot—sometimes more than words! Not only should you be aware of the body language of who you’re talking with, but you also need to know what your body language is saying about you. Different cultures see hand gestures differently so it's good to be mindful of what gestures you make with your hands. If you want to appear open and friendly you may want to keep your arms open and avoid closed body language like crossing your arms.

    If someone is leaning away from you slightly, this may indicate they aren’t interested in the topic you’re speaking about. They may lean in closer if more interested in what you're talking about. If they smile a lot, this may mean they agree with you.

    Prepare yourself for English conversations you may have

    If you are planning to practice talking in English, it’s OK to prepare yourself for the conversation. Create a script for yourself to speak from that allows you to practice difficult terms and phrases. Not only will this give you real-time experience bettering your skills, but it will allow you to speak English with confidence.

    Either in work situations or casual conversations, there’s more than just English words being exchanged so remember to dedicate your full attention. It’s an excellent opportunity to practice and improve your English skills and you’re likely to learn more than just studying on your own.

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    How the English language has changed over the decades

    By Steffanie Zazulak

    All languages change over time, and there can be many different reasons for this. The English language is no different – but why has it changed over the decades?

    Some of the main influences on the evolution of languages include:

    • The movement of people across countries and continents, for example, migration and, in previous centuries, colonization. For example, English speakers today would probably be comfortable using the Spanish word 'loco' to describe someone who is 'crazy'.
    • Speakers of one language coming into contact with those who speak a different one. No two individuals speak identically: people from different geographical places clearly speak differently and even within the same community there are variations according to a speaker’s age, gender, ethnicity and social and educational background. For example, the word 'courting' has become 'dating'.
    • New vocabulary required for inventions such as transport, domestic appliances and industrial equipment, or for sporting, entertainment, cultural and leisure reasons. For example, the original late 19th century term 'wireless' has become today’s 'radio'.

    Due to these influences, a language always embraces new words, expressions and pronunciations as people come across new words and phrases in their day-to-day lives and integrate them into their own speech.

    What changes has the English language seen?

    As the English language has changed, it’s been easy to pick out words that pass into common usage. Here at 色猫AV English, we have explored some of these recent changes to the English language. The rise in popularity of internet slang has seen phrases such as 'LOL' (Laugh Out Loud), 'FOMO' (Fear Of Missing Out) and 'fam' (an abbreviated form of family) become firmly embedded in the English language over the past ten years.

    Every decade sees new slang terms like these appearing in the English language. And while some words or abbreviations do come from internet or text conversations, others may appear as entirely new words, a new meaning for an existing word, or a word that becomes more generalized than its former meaning, brought about by any one of the reasons above. Decades ago, 'blimey' was a new expression of surprise, but more recently 'woah' is the word in everyday usage.

    Sentence structure is of course, another change to the English language. Decades ago, it would have been normal to ask 'Have you a moment?' Now, you might say 'D’you have a sec?' Similarly, 'How do you do?' has become 'How’s it going?' Not only have the sentences been abbreviated, but new words have been introduced to everyday questions.

    Connected to this is the replacement of certain words with other, more modern versions. It’s pretty noticeable that words like 'shall' and 'ought' are on the way out, but 'will', 'should' and 'can' are doing just fine.

    Other changes can be more subtle. Many verbs can take a compliment with another verb in either the '-ing' form or the 'to' form, for example, 'they liked painting/to paint', 'we tried leaving/to leave', or 'he didn’t bother calling/to call'. Both of these constructions are still used and have been for a long time, but there has been a steady shift over time from the 'to' to the '-ing' compliment.

    What do the changes mean?

    There are many other changes to the English language – what have you noticed? Have these changes affected your teaching or learning methods??

    Most contemporary linguistic commentators accept that change in language, like change in society, is inevitable. Some think that is regrettable, but others recognize it as a reinvigoration of a language, bringing alternatives that allow subtle differences of expression.

    Linguist, writer and lecturer David Crystal considers whether 'text speak' is undermining the English language. His response to the naysayers who claim it is damaging the English language is to point out that abbreviations have been around for a long time. While some, such as the ones we discussed above, are new, others, such as the use of 'u' for 'you' and the number 8 as a syllable in 'later', have been around for a century or more. Further to this, research shows that there is a correlation between the ability to use abbreviations and the ability to spell. After all, in order to abbreviate, you have to know which letters to abbreviate.

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    Being bilingual can help keep your brain in good condition

    By Steffanie Zazulak

    Learning and understanding a new language is one of the most challenging things that your brain can do. But as well as the advantage of acquiring another language, it appears that the effort of giving your brain a good workout today by being bilingual could keep it in better condition in later life.

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    Bilingualism and the brain

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    They recruited elderly people, half of whom spoke only one language and the other half who had learned a second language between the ages of 11 and 18. All performed equally well on a task that involved focusing on an object's color while ignoring its position, but brain scans revealed a big difference in how they processed the task.

    “While bilinguals were recruiting very specific brain areas and a small number of areas to perform the task, monolinguals were recruiting a much larger number of areas that were consuming much more resources. And the networks they were using were very, very complex,” says Professor Ansaldo. “That led us to think that the bilingual brain was more efficient in terms of the amount of resources that bilingual people require to do complex tasks as opposed to the monolingual brain.”

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