The impact of AI on language learning

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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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    • Reading: Provide a variety of texts such as articles, short stories, or dialogues.
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    Use authentic materials

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    As the new year rolls around, it’s the perfect time for students to set fresh language learning goals. But for teachers, it’s not just about inspiring students—it’s about giving them clear, measurable goals that they can actually achieve. That’s where the GSE, a very powerful tool, comes in. It can help teachers create personalized learning paths based on where students are right now and guide them toward their language goals throughout the year. Let’s dive into how the GSE can work to boost student progress.

    What makes the GSE such a valuable tool?

    The GSE is a precise framework that measures English proficiency with remarkable detail. Each score on the GSE aligns with specific speaking, listening, reading and writing competencies. For instance, a student with a GSE score of 50 might handle everyday conversations comfortably (B1 level), while a score of 75 indicates functioning at a more advanced level (C1).

    What sets the GSE apart is its granularity—it goes beyond general levels of "intermediate" or "advanced," allowing teachers to identify exactly what their students can do at any stage. This level of detail enables teachers to set targeted, skill-specific goals for every learner, ensuring personalized and purposeful progression.

    Assessing where students currently stand

    Before setting goals, it’s important to determine each student’s current standing. The GSE is an excellent tool for this because it provides a detailed breakdown of a student's skills. Teachers can use GSE-aligned assessments to pinpoint strengths and weaknesses, which gives a clearer picture than just knowing if a student is at an “intermediate” or “advanced” level.

    Once you know where students are, you can set a baseline. For instance, if a student’s reading score is 52, you’ll know that they are likely in the B1 range, and you can target specific skills (like improving vocabulary or understanding main ideas) to move them forward.

    Setting realistic, measurable goals

    Now that you know where each student stands, it's time to set some goals. These should be realistic, measurable and achievable based on their current level and the time span involved. The key is to pick goals that will push them to improve without overwhelming them. The GSE has detailed descriptions of what students can do at each level. You can pinpoint specific skills that need attention by looking at these descriptors. We know that large goals can feel intimidating, so break them into smaller, manageable chunks. Here, the GSE is an amazing resource, thanks to its granularity.

    Personalising learning with AI and the GSE

    Using the GSE Learning Objectives (LOs) in conjunction with an LLM (Large Language Model)* opens up a world of possibilities for creating focused activities at the right level for each student. Here are some key points on how this combination enhances personalized learning:

    • Individualized content: LLMs can generate targeted prompts and exercises based on the specific GSE LOs relevant to each student's proficiency level. This ensures that learners engage with content that is appropriate and aligned with their language goals.
    • Tailored language practice: By incorporating an LLM into lessons, teachers can provide students with interactive language practice that adapts to their needs. ChatGPT can simulate conversations, allowing students to apply their language skills and receive immediate feedback in a supportive environment.

    By combining the GSE LOs and harnessing the power of an LLM like ChatGPT, teachers can create personalized activities that cater to individual students' language needs, promote active learning, and foster continuous improvement.

    *Disclaimer:Teachers should check and verify the level based on their understanding of their students, as LLMs like ChatGPT may notassess levels accurately. While GSE Learning Objectives can assist, it's essential to check and adjust its outputs accordingly. This could involve consulting GSE Grammar and Vocabulary to confirm appropriate levels or utilizing the Text Analyzer to ensure the text aligns with the desired level.

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    Setting goals is just the start—tracking progress and adjusting those goals as needed is just as important. Throughout the year, teachers should regularly check in with students to make sure they’re on track. How can we monitor and adjust? Here are some tips.

    Teachers should schedule regular one-on-one sessions with students to review their progress. The GSE can clearly show students their progress.

    If students are achieving their goals faster than expected, adjusting their targets is important to keep them challenged. If they’re struggling, the goals might need to be more achievable, with smaller, more gradual steps.

    Using the GSE can help students set clear, measurable goals and steadily progress throughout the year. By assessing where students are starting, setting specific GSE-based goals, creating personalized learning paths with AI, and continuously tracking progress, teachers can create a more dynamic and effective learning experience for their students. The new year is the perfect opportunity to help students improve their English and achieve their goals—and with these tools, teachers have everything they need to guide students toward success.