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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    2. The bee’s knees

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    Praise in the classroom is a valuable resource that every teacher has in their toolbox.?It can encourage struggling students and reward learners who have been studying diligently and working hard on their language skills.

    But not all types of praise have the same effect. Let’s take a look at different types of praise and how you can use it to boost your learners’ motivation and?self-esteem.?

    Different types of praise in the classroom

    There are three types of praise that teachers commonly engage in - but they’re not all equal and are not all desirable:?

    • Personal praise: Here you praise a student for a specific ability or quality. For example, you might say something like,?“You have a great memory for vocabulary”.??
    • Effort-based praise: This?is when you comment on a student’s efforts. For example, you could say,?“I can see you tried really hard with this vocabulary homework – well done.”??
    • Behavior-based praise:?This type of praise?is where you comment on how a student is acting, an example would be,?“You were really paying attention during the vocabulary lesson – good job.”

    So how – and when – should we use these types of praise in the classroom??

    Try not to praise ability

    The first type of praise – personal praise – should be avoided in the classroom.??has shown that this type of praise doesn’t have a beneficial effect on motivation.?

    In fact, praise for intelligence actually has a detrimental effect on student achievement. When students were praised for their intelligence, they tended to care more about their performance goals – the score they achieved on a test, for example. Learning goals, like mastering a new skill, became less important to them.?

    Moreover, personal praise has been shown to undermine student resilience in the face of failure. Students showed less persistence when it came to challenging tasks and less enjoyment of the challenge. They also performed more poorly than children praised for effort.?

    Furthermore, when you praise students for their ability, they also tend to see intelligence or aptitude as a fixed trait. However, students who are praised for effort are more likely to see ability as something they can improve on. This feeds into the development of a growth mindset vs a fixed mindset.?It’s important to?instill?a growth mindset in learners to enable them to reach their full potential.?

    How to praise effort and behavior

    When it comes to praising effort and behavior, what’s the most effective way to do it? Here are some techniques to employ:?

    1. Be specific ?

    General praise such as “Good job” isn’t nearly as effective as a comment that shows you’ve been paying attention to what the student is doing. A precise compliment will make a much bigger impact on a student, for example:?“I was really impressed at how hard you concentrated during the listening exercise. Well done.”??

    2. Give praise in the moment?

    Immediate praise doesn’t need to be disruptive, but it shows students that you are paying attention and noticing good behavior and effort.?

    3. Avoid comparisons with other students?

    Instead of saying, “You got the best mark in the class – well done!” say something like,?“You got a really high score in the reading test. Your hard work has really paid off this term.”

    4. Keep track of praise?

    Before your class, choose three or four students you’re going to praise that day. That way, you can be sure that each and every student will benefit from the motivational power of effective classroom praise!

    5. Personalize your praise, depending on the student?

    Young students enjoy being praised publicly, but shy students, older children and teenagers prefer positive feedback to be given quietly.?

    Don’t overpraise and watch your positive bias?

    It’s important to be sincere. Older children, especially adolescents, have an extremely low tolerance of insincerity. So, don’t be tempted to praise students too often, or too effusively – it can actually have a negative impact on your relationship with your whole class. Insincere praise can lead students to question your judgement.?

    It’s also really important to be aware of your positive bias.?that teachers consistently give students of color more positive feedback on their work. It’s done with good intentions, but it can actually be harmful. If you regularly overpraise students for minor achievements, it can imply that you have low expectations for these students. And, this can make your students feel like they might not be capable of fulfilling the high expectations that you should have of them.?

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