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 app 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.

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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  • A young woman sat in a library with headphones around her neck reading a book

    Does progress in English slow as you get more advanced?

    By Ian Wood
    Reading time: 4 minutes

    Why does progression seem to slow down as an English learner moves from beginner to more advanced skills?

    The journey of learning English

    When presenting at ELT conferences, I often ask the audience – typically teachers and school administrators – “When you left home today, to start your journey here, did you know where you were going?” The audience invariably responds with a laugh and says yes, of course. I then ask, “Did you know roughly when you would arrive at your destination?” Again the answer is, of course, yes. “But what about your students on their English learning journey? Can they say the same?” At this point, the laughter stops.

    All too often English learners find themselves without a clear picture of the journey they are embarking on and the steps they will need to take to achieve their goals. We all share a fundamental need for orientation, and in a world of mobile phone GPS we take it for granted. Questions such as: Where am I? Where am I going? When will I get there? are answered instantly at the touch of a screen. If you’re driving along a motorway, you get a mileage sign every three miles.

    When they stop appearing regularly we soon feel uneasy. How often do English language learners see mileage signs counting down to their learning goal? Do they even have a specific goal?

    Am I there yet?

    The key thing about GPS is that it’s very precise. You can see your start point, where you are heading and tell, to the mile or kilometer, how long your journey will be. You can also get an estimated time of arrival to the minute. As Mike Mayor mentioned in his post about what it means to be fluent, the same can’t be said for understanding and measuring English proficiency. For several decades, the ELL industry got by with the terms ‘beginner’, ‘elementary’, ‘pre-intermediate’ and ‘advanced’ – even though there was no definition of what they meant, where they started and where they ended.

    The CEFR has become widely accepted as a measure of English proficiency, bringing an element of shared understanding of what it means to be at a particular level in English. However, the wide bands that make up the CEFR can result in a situation where learners start a course of study as B1 and, when they end the course, they are still within the B1 band. That doesn’t necessarily mean that their English skills haven’t improved – they might have developed substantially – but it’s just that the measurement system isn’t granular enough to pick up these improvements in proficiency.

    So here’s the first weakness in our English language GPS and one that’s well on the way to being remedied with the Global Scale of English (GSE). Because the GSE measures proficiency on a 10-90 scale across each of the four skills, students using assessment tools reporting on the GSE are able to see incremental progress in their skills even within a CEFR level. So we have the map for an English language GPS to be able to track location and plot the journey to the end goal.

    ‘The intermediate plateau’

    When it comes to pinpointing how long it’s going to take to reach that goal, we need to factor in the fact that the amount of effort it takes to improve your English increases as you become more proficient. Although the bands in the CEFR are approximately the same width, the law of diminishing returns means that the better your English is to begin with, the harder it is to make further progress – and the harder it is to feel that progress is being made.

    That’s why many an English language-learning journey gets abandoned on the intermediate plateau. With no sense of progression or a tangible, achievable goal on the horizon, the learner can become disoriented and demoralised.

    To draw another travel analogy, when you climb 100 meters up a mountain at 5,000 meters above sea level the effort required is greater than when you climb 100 meters of gentle slope down in the foothills. It’s exactly the same 100 meter distance, it’s just that those hundred 100 meters require progressively more effort the higher up you are, and the steeper the slope. So, how do we keep learners motivated as they pass through the intermediate plateau?

    Education, effort and motivation

    We have a number of tools available to keep learners on track as they start to experience the law of diminishing returns. We can show every bit of progress they are making using tools that capture incremental improvements in ability. We can also provide new content that challenges the learner in a way that’s realistic.

    Setting unrealistic expectations and promising outcomes that aren’t deliverable is hugely demotivating for the learner. It also has a negative impact on teachers – it’s hard to feel job satisfaction when your students are feeling increasingly frustrated by their apparent lack of progress.

    Big data is providing a growing bank of information. In the long term this will deliver a much more precise estimate of effort required to reach higher levels of proficiency, even down to a recommendation of the hours required to go from A to B and how those hours are best invested. That way, learners and teachers alike would be able to see where they are now, where they want to be and a path to get there. It’s a fully functioning English language learning GPS system, if you like.