The impact of AI on language learning

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
Play
Privacy and cookies

By watching, you agree ɫèAV can share your viewership data for marketing and analytics for one year, revocable by deleting your cookies.

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.Ìý 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.Ìý Ìý

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.ÌýTeachers 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.ÌýCommonly 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.Ìý

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.Ìý

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.Ìý

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)

Ìýwill 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 ɫèAV is a great example of using this kind of technology in language learning with their and apps.Ìý

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.Ìý

Ìý

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.Ìý

More blogs from ɫèAV

  • Grammar 101: insider tips and tricks to instantly improve your writing (part 4)

    By
    Reading time: 7 minutes

    Punctuation makes your writing easier to read and understand, but it can be tricky to master. As an editor and proofreader, I often notice people confusing semi-colons and colons, so we'll explore the difference between them. And because both are often used in lists, we'll also look at the humble comma – and its sometimes-controversional cousin, the Oxford comma.Ìý

    Semi-colons and colons both connect phrases in a sentence but are used in different situations.Ìý

    Understanding colons

    Colons introduce important information and explanations. They're often used before lists as a replacement for phrases like "they are" and "which is":

    • He offered me a choice of drinks: tea, coffee or hot chocolate.Ìý
    • I packed the essentials in my bag: water, pens and a magazine.Ìý
    • She speaks three languages: English, French and Portuguese.Ìý

    You can also think of a colon as a spotlight, with the phrase that comes after the colon explaining or expanding what came before it.Ìý

    • In 1903, travel was changed forever by an important event: Orville and Wilbur Wright's first successful flight.
    • He loves visiting the animals at the farm: cows are his favourite.Ìý
    • There is one rule I live by: I treat others as I wish to be treated.

    The secrets of semi-colons

    A semi-colon links two ideas that are closely related and that would be two complete sentences if you used a period instead. They give a softer transition than a period would, and they're often used instead of conjunctions like "and", "but" and "because":

    • I love eating pizza; my sister loves eating burgers.
    • I wanted to go for a swim; I couldn't find my goggles.Ìý
    • It was the best of times; it was the worst of times.

    Semi-colons also seperate items in long lists to make life easier for the reader and stop a sentence becoming a sea of apostrophes. For example:

    • I've got my shopping list ready: peppers, carrots and oranges from the market; toothpaste, shampoo and pain relief from the drugstore; and a newspaper, snack and drink from the newsstand. Ìý

    Standard comma or Oxford comma?

    An Oxford comma goes before "and" or "or" at the end of a list. The first example has an Oxford comma, the second doesn't.Ìý

    • Please bring me a sandwich made with cheese, lettuce, and tomato.Ìý
    • Please bring me a sandwich made with cheese, lettuce and tomato.Ìý

    American English generally favors the Oxford comma, British English typically omits it, unless needed for clarity. Compare:

    • I love my parents, Taylor Swift and Keanu Reeves.
    • I love my parents, Taylor Swift, and Keanu Reeves.Ìý

    As with many areas of punctuation, whether you choose to use the Oxford comma is a matter of personal preference. However, the most important thing is to be consistent in your usage.Ìý

  • A person in a striped shirt writes with a marker on a whiteboard, holding a clip board

    Clear path to fast-track progress: Why choose assessment underpinned by the GSE

    By
    Reading time: 4 minutes

    At the beginning of every school year, we welcome new learners into our classrooms with the same core question: Where are our students now, and how far can we take them?

    For English teachers, this reveals a huge challenge. In a single class, we might have one student at an A2 level, while others are solidly B1 or just entering A2+. Navigating such a wide range of abilities can feel overwhelming.

    We’ve all seen it: students can spend months (or even years) studying English and still feel like they haven’t moved up a level. Teachers work incredibly hard, and students put in the effort, but progress feels intangible. Why is that? And more importantly, how can schools make it easier to see and support that progress?

    In recent years, I have found a powerful ally in answering that question: the Global Scale of English (GSE). Backed by ɫèAV and aligned with the CEFR, the GSE offers more than just levels, it provides a clear, data-informed path to language growth. Most importantly, it gives teachers and school leaders the ability to set meaningful goals and measure real progress.

    But, how is this useful at the beginning of the school year?

    Starting with assessment

    To get a clear picture from the start, assessment is essential; there’s no doubt about it. However, it can't just be a punctuation mark at the end of a term or a requirement from administration. Used strategically, this first assessment can be the compass that guides instruction and curriculum decisions, empowering both teachers and students from day one. This is why choosing the correct assessment tools becomes fundamental.

    The GSE difference: Precision, clarity, confidence

    Unlike the broad bands of the CEFR, the GSE provides a granular scale from 10 to 90, breaking down each skill into precise learning objectives. This allows educators to monitor progress at a much closer level, often identifying improvements that would otherwise go unnoticed.

    When learners see that their score has moved from 36 to 42, even if their overall CEFR level hasn’t changed, they gain confidence. They recognize that learning is a continuous process rather than a series of steps. Teachers, in turn, are able to validate growth, provide clear evidence of learning and tailor instruction to the learner’s current needs, not just their general level.

    For example, two students might both be classified as "A2", but the GSE gives us a much clearer picture: a student with a GSE score of 35 is likely mastering simple sentences, while another student scoring 40 might already be comfortable writing simple stories and is ready to tackle B1-level tasks.

    This isn't just data: it's a roadmap. It tells us exactly what to teach next, allowing us to differentiate with confidence instead of relying solely on gut feeling.

    GSE tools that make it happen

    ɫèAV offers a comprehensive range of GSE-aligned assessment tools that support different stages of the learning journey. Each tool plays a distinct role in placement, diagnosis, benchmarking or certification.

  • A person in a denim jacket and striped shirt holds glasses and a notebook, standing by a window with bright daylight.

    What happens in the brain when you learn a language?

    By
    Reading time: 7 minutes

    Whether you’re picking up Spanish for travel, Mandarin for business or French just for fun, you’re not only expanding your communication skills, you’re also giving your brain a powerful workout. But what actually happens inside your brain when you learn a language?Ìý

    The brain’s language centers

    Your brain is made up of many parts and two areas are significant for language:

    • : Located in the frontal lobe, this region helps you produce speech and form sentences.
    • : Found in the temporal lobe, this area helps you understand spoken and written language.

    When you start learning a new language, these areas get busy. They work together to help you listen, speak, read and write in your new language (Friederici, 2011).