Improving wellbeing: Language learning with all five senses

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Language learning does not just help us communicate better; it also opens up pathways to personal growth and well-being. By engaging all five senses in the learning process, you can elevate your experience, making it more immersive and enriching. The association of senses can also make it easier to remember words, giving you an excuse to take some time for yourself while still giving you a way of passive learning. Here’s how tapping into your senses can foster wellness through language learning.

Using your senses to improve language learning
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Touch

Incorporate touch into language learning by using physical objects associated with the culture of the language you're studying. Handling items like traditional textiles, pottery, or even tools can create a tangible connection to the language. As you touch and describe these objects in your new language, you activate sensory memory, which can improve retention and understanding.

You can do this with the clothes you wear or the objects around you, take a moment to clear your mind and feel the fabrics on your skin, or the furniture around you, using words from your target language think of ways to describe them. Is the fabric soft, scratchy or furry? Is the furniture cold, hard or smooth? We don't often pay much attention to the things around us every day, so giving them a little attention can pull us away from all the busy thoughts in our minds.

Additionally, engaging in activities such as calligraphy or crafting can link language learning with creative expression, further enhancing well-being through relaxation and mindfulness.

Smell

Smell is a powerful sense that can evoke memories and emotions. Use this to your advantage by exploring the aromas associated with the culture of the language you are learning. For instance, cooking or visiting markets with spices and foods specific to the region can stimulate your sense of smell while expanding your vocabulary. Describing these smells in the target language can help anchor words and phrases through scent associations, enriching your learning experience.

You can also do this in your everyday life, and it could be as simple as smelling food being made or drinking something you love; think of the ways to describe it in the language you're learning - is it woody, spicy, etc.? Take the time to take in and experience the different kinds of smells and simple everyday things you come across.

Sight

Sometimes, we get so used to the spaces we frequent we often overlook the finer details and features around us. It's easy to get so absorbed in studying or life in general that it's important to step away and take a breather.

Take a few minutes to look around you and look at the environment's fine details. What colors are around you? What textures and objects can you see on the walls? You can also take the time to do this outdoors. Think of the words in the language you're learning to describe the environment and colors around you. You may already go for walks as breaks from studying, so adding this step isn't much effort. Exercises like this can gently encourage learning and support well-being.

Sound

Listening is a crucial part of language acquisition and engaging with the auditory aspect of your target language can significantly enhance your learning journey. By now, most people know about listening to music, podcasts and audiobooks in the language you're studying to help you learn, but you can use sounds as an excuse to meditate and try to listen and take in the sounds around you, thinking about what they are and how they make you feel.

Think of words in the language you are learning to describe where they're coming from and what kind of sound they are (loud, sharp, quiet, etc.). If done right auditory engagement also reduces stress levels and boosts mood, as music and sounds often have a calming and grounding effect, contributing to overall well-being.

Taste

Explore the culinary traditions of the language you are learning to experience taste as a dimension of language learning. Trying authentic recipes or dining in culturally significant restaurants allows you to encounter the language in a practical setting while savoring the flavors that define a culture. This sensory experience creates a memorable context for language use, such as ordering in a new language or reading recipes, which aids in vocabulary retention.

This doesn't have to be for new foods or going out to eat either; it can be for familiar everyday things you eat and drink in your own home. Make sure to focus on the tastes you are experiencing and think of descriptive words in your target language to describe them (Sweet, chalky, sour, etc). This can also be a way to expand your vocabulary with more specific and nuanced words related to food and taste.

The power of multisensory learning

By engaging all five senses in language learning, you create an immersive experience that goes beyond just memorizing vocabulary and grammar rules. Multisensory learning allows for a deeper understanding of the culture, traditions and people associated with the language you are studying. This not only promotes personal growth but also fosters a sense of connection and well-being as you develop a stronger bond with the language and its speakers. So, use all your senses to enhance your language learning journey for improved wellness.

Learn more about wellbeing and learning in our posts 'Using language learning as a form of self-care for wellbeing' and 'Understanding and managing technostress'.

More blogs from app

  • Hands typing at a laptop with symbols

    Can computers really mark exams? Benefits of ELT automated assessments

    Por app Languages

    Automated assessment, including the use of Artificial Intelligence (AI), is one of the latest education tech solutions. It speeds up exam marking times, removes human biases, and is as accurate and at least as reliable as human examiners. As innovations go, this one is a real game-changer for teachers and students. 

    However, it has understandably been met with many questions and sometimes skepticism in the ELT community – can computers really mark speaking and writing exams accurately? 

    The answer is a resounding yes. Students from all parts of the world already take AI-graded tests.  aԻ Versanttests – for example – provide unbiased, fair and fast automated scoring for speaking and writing exams – irrespective of where the test takers live, or what their accent or gender is. 

    This article will explain the main processes involved in AI automated scoring and make the point that AI technologies are built on the foundations of consistent expert human judgments. So, let’s clear up the confusion around automated scoring and AI and look into how it can help teachers and students alike. 

    AI versus traditional automated scoring

    First of all, let’s distinguish between traditional automated scoring and AI. When we talk about automated scoring, generally, we mean scoring items that are either multiple-choice or cloze items. You may have to reorder sentences, choose from a drop-down list, insert a missing word- that sort of thing. These question types are designed to test particular skills and automated scoring ensures that they can be marked quickly and accurately every time.

    While automatically scored items like these can be used to assess receptive skills such as listening and reading comprehension, they cannot mark the productive skills of writing and speaking. Every student's response in writing and speaking items will be different, so how can computers mark them?

    This is where AI comes in. 

    We hear a lot about how AI is increasingly being used in areas where there is a need to deal with large amounts of unstructured data, effectively and 100% accurately – like in medical diagnostics, for example. In language testing, AI uses specialized computer software to grade written and oral tests. 

    How AI is used to score speaking exams

    The first step is to build an acoustic model for each language that can recognize speech and convert it into waveforms and text. While this technology used to be very unusual, most of our smartphones can do this now. 

    These acoustic models are then trained to score every single prompt or item on a test. We do this by using human expert raters to score the items first, using double marking. They score hundreds of oral responses for each item, and these ‘Standards’ are then used to train the engine. 

    Next, we validate the trained engine by feeding in many more human-marked items, and check that the machine scores are very highly correlated to the human scores. If this doesn’t happen for any item, we remove it, as it must match the standard set by human markers. We expect a correlation of between .95-.99. That means that tests will be marked between 95-99% exactly the same as human-marked samples. 

    This is incredibly high compared to the reliability of human-marked speaking tests. In essence, we use a group of highly expert human raters to train the AI engine, and then their standard is replicated time after time.  

    How AI is used to score writing exams

    Our AI writing scoring uses a technology called . LSA is a natural language processing technique that can analyze and score writing, based on the meaning behind words – and not just their superficial characteristics. 

    Similarly to our speech recognition acoustic models, we first establish a language-specific text recognition model. We feed a large amount of text into the system, and LSA uses artificial intelligence to learn the patterns of how words relate to each other and are used in, for example, the English language. 

    Once the language model has been established, we train the engine to score every written item on a test. As in speaking items, we do this by using human expert raters to score the items first, using double marking. They score many hundreds of written responses for each item, and these ‘Standards’ are then used to train the engine. We then validate the trained engine by feeding in many more human-marked items, and check that the machine scores are very highly correlated to the human scores. 

    The benchmark is always the expert human scores. If our AI system doesn’t closely match the scores given by human markers, we remove the item, as it is essential to match the standard set by human markers.

    AI’s ability to mark multiple traits 

    One of the challenges human markers face in scoring speaking and written items is assessing many traits on a single item. For example, when assessing and scoring speaking, they may need to give separate scores for content, fluency and pronunciation. 

    In written responses, markers may need to score a piece of writing for vocabulary, style and grammar. Effectively, they may need to mark every single item at least three times, maybe more. However, once we have trained the AI systems on every trait score in speaking and writing, they can then mark items on any number of traits instantaneously – and without error. 

    AI’s lack of bias

    A fundamental premise for any test is that no advantage or disadvantage should be given to any candidate. In other words, there should be no positive or negative bias. This can be very difficult to achieve in human-marked speaking and written assessments. In fact, candidates often feel they may have received a different score if someone else had heard them or read their work.

    Our AI systems eradicate the issue of bias. This is done by ensuring our speaking and writing AI systems are trained on an extensive range of human accents and writing types. 

    We don’t want perfect native-speaking accents or writing styles to train our engines. We use representative non-native samples from across the world. When we initially set up our AI systems for speaking and writing scoring, we trialed our items and trained our engines using millions of student responses. We continue to do this now as new items are developed.

    The benefits of AI automated assessment

    There is nothing wrong with hand-marking homework tests and exams. In fact, it is essential for teachers to get to know their students and provide personal feedback and advice. However, manually correcting hundreds of tests, daily or weekly, can be repetitive, time-consuming, not always reliable and takes time away from working alongside students in the classroom. The use of AI in formative and summative assessments can increase assessed practice time for students and reduce the marking load for teachers.

    Language learning takes time, lots of time to progress to high levels of proficiency. The blended use of AI can:

    • address the increasing importance of formative assessmentto drive personalized learning and diagnostic assessment feedback 

    • allow students to practice and get instant feedback inside and outside of allocated teaching time

    • address the issue of teacher workload

    • create a virtuous combination between humans and machines, taking advantage of what humans do best and what machines do best. 

    • provide fair, fast and unbiased summative assessment scores in high-stakes testing.

    We hope this article has answered a few burning questions about how AI is used to assess speaking and writing in our language tests. An interesting quote from Fei-Fei Li, Chief scientist at Google and Stanford Professor describes AI like this:

    “I often tell my students not to be misled by the name ‘artificial intelligence’ — there is nothing artificial about it; A.I. is made by humans, intended to behave [like] humans and, ultimately, to impact human lives and human society.”

    AI in formative and summative assessments will never replace the role of teachers. AI will support teachers, provide endless opportunities for students to improve, and provide a solution to slow, unreliable and often unfair high-stakes assessments.

    Examples of AI assessments in ELT

    At app, we have developed a range of assessments using AI technology.

    Versant

    The Versant tests are a great tool to help establish language proficiency benchmarks in any school, organization or business. They are specifically designed for placement tests to determine the appropriate level for the learner.

    PTE Academic

    The  is aimed at those who need to prove their level of English for a university place, a job or a visa. It uses AI to score tests and results are available within five days. 

    app English International Certificate (PEIC)

    app English International Certificate (PEIC) also uses automated assessment technology. With a two-hour test available on-demand to take at home or at school (or at a secure test center). Using a combination of advanced speech recognition and exam grading technology and the expertise of professional ELT exam markers worldwide, our patented software can measure English language ability.