Dance your way to fluent language learning and enhanced wellbeing

A woman with headphones dancing in her living room
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Language learning can often feel daunting, with its endless vocabulary lists, grammatical structures and pronunciation rules. However, incorporating dance and movement into your study routine can transform this challenge into an engaging, enjoyable experience while significantly benefiting your overall wellbeing. This unusual approach is not only effective for language learners of all ages but also enriches the learning process with fun and physical activity.

Engaging in movement and dance can substantially impact mental health, as evidenced by various studies and academic research. For instance, a notable study published in the American Journal of Dance Therapy highlighted that dance, particularly in structured environments, can reduce anxiety and improve mood among participants. This connection between dance and mental health improvement can be attributed to the release of endorphins, often referred to as happiness hormones, which occur during physical activity.

How can dance help your language learning?
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The connection between movement and language learning

The link between physical movement and language learning is deeply rooted in cognitive science. Research suggests that our cognitive processes are intertwined with our bodily systems, meaning that physical activities, such as dance, can enhance memory, comprehension and expression. This concept, known as '', highlights how movement can serve as a powerful tool in internalizing new language concepts and vocabulary.

Here's how dance facilitates language learning:

  • Memorization enhancement: Associating vocabulary or phrases with specific movements can improve recall abilities. For example, performing a specific dance move when practicing a new word can create a mnemonic device, making the term easier to remember.
  • Increased engagement and concentration: Movement breaks up the monotony of traditional study methods, keeping the mind engaged and focused. This is particularly beneficial during longer study sessions, where concentration may start to wane.
  • Stress reduction: Dance is a well-known stress reliever. Lowering stress levels not only improves mental health but also creates a more conducive environment for language acquisition, as anxiety can be a significant barrier to effective learning.
  • Improved pronunciation through rhythm practice: Many languages have a unique rhythm and cadence. Engaging in dance can tune your ear to these rhythmic patterns, aiding in the understanding and reproduction of authentic pronunciation.

Ways to incorporate dance and language

Start simple

You don't need complex choreography to get started. Begin with simple movements that you can associate with the new language. This could be as straightforward as moving your hands up for high-tone languages like Mandarin or swaying to the rhythm of a Spanish guitar as you practice phrases.

Create a themed playlist

Music is a powerful companion to dance. Create a playlist of songs in the language you’re learning and try to move intuitively to the rhythm. This will not only help with learning new words and phrases but will also immerse you in the culture of the language.

Join a class

If possible, join a dance class that focuses on the culture of the language you're learning. Salsa, Bollywood, or even traditional Japanese dance can provide insights into the culture, which is a crucial part of mastering a language.

Practical activity examples

Merging language learning with dance isn't just effective; it's also incredibly fun. Here are some activity ideas to get you started on this harmonious path of acquiring a new language and enhancing your well-being through dance.

Spanish & Flamenco

  • Activity: After learning basic Spanish greetings and expressions, put on a Flamenco music playlist. Attempt to express these greetings and expressions rhythmically with Flamenco hand claps (palmas) or footwork. This can help solidify the language's rhythm and intonation in your memory.

French & Ballet

  • Activity: Ballet terminology is predominantly in French, which presents a unique opportunity to learn the language. Pick a few basic ballet positions or movements, such as "plié" (to bend) or "pirouette" (to spin), and practice saying them out loud while performing the steps. This can deepen your understanding of French pronunciation and terms.

Japanese & Bon Odori

  • Activity: Bon Odori is a traditional Japanese dance performed during the Obon Festival. Begin by learning simple phrases in Japanese related to greetings, farewells and thanks. Then, engage in learning the Bon Odori dance through online tutorials. Associate each dance movement with the phrases you've learned, enhancing both your linguistic and cultural comprehension.

Hindi & Bollywood

  • Activity: Bollywood dances are vibrant and full of expression, making them perfect for language learning. Start by learning key Hindi phrases and vocabulary related to emotions and actions. Watch a Bollywood dance video, focusing on songs with clear, easy lyrics. Try to dance along while singing the lyrics, connecting the words’ meanings with your movements.

Italian & Tarantella

  • Activity: The Tarantella is a fast-paced Italian folk dance. For this activity, choose an energetic Tarantella song and learn simple conversational Italian phrases or food vocabulary. As you practice the dance, say the phrases out loud with each step. Not only will this improve your memory recall, but it will also give you a feel for the Italian linguistic rhythm and culture.

Each of these activities combines the cognitive benefits of language learning with the physical and emotional joys of dance, creating a holistic approach to new language acquisition and overall wellness.

Extra benefits

Apart from language acquisition, integrating dance into your routine can have profound effects on your physical and mental health.

  • Physical fitness: Regular movement improves cardiovascular health, strength and flexibility.
  • Mental health: Dance reduces symptoms of anxiety and depression, creating a happier and healthier mindset.
  • Social connections: Sharing dance experiences with others can lead to meaningful social connections, reducing feelings of isolation and promoting a sense of community.

Integrating dance and movement into language learning is beneficial for acquiring new languages and promotes a holistic approach to health and wellbeing. It's a fun and effective strategy that can break the monotony of traditional learning methods, providing a refreshing path to fluency and beyond. Whether practiced alone or in a group, through music, rhythm and culture, dance can enhance your language learning experience significantly.

Read more of our language learning posts to get inspired

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    Can computers really mark exams? Benefits of ELT automated assessments

    By ÃÛÌÒapp 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.  a²Ô»å VersantÌýtests – 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 assessmentÌýto 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.â€

    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 ÃÛÌÒapp, 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.