4 ways to improve your students' intelligibility

A woman and a man talking together

Intelligibility is the art of being understood by others. Many students think they need to speak a language flawlessly and with a native-like accent to make themselves clear, but this is not quite true.

While there is a correlation between proficiency and intelligibility, even students of lower general proficiency are capable of expressing what they mean, in a way that the listener understands, if they are using good intelligibility practices.

Being understandable in a second language is often extremely important in work environments, especially as the world becomes more connected and job markets more competitive.

Intelligibility is a vital aspect of communication but it is not exactly a skill in itself. Instead, it is a combination of fluency, pronunciation, and managing your speed of speech. To reflect how important this is for language learners when studying, traveling or at work, we use an Intelligibility Index as part of our Versant English Test scoring.

This index is based on factors affecting how understandable speech is to fluent English speakers. These include things like speed, clarity, pronunciation and fluency. Ranging from 1 (low) to 5 (high), the Intelligibility Index shows how intelligible someone’s speech in English is likely to be in a real-world situation.

Let’s go into some activities and exercises you can try in class to help your students improve their intelligibility with their English and speaking skills.

Ways to improve your students' Intelligability
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How can we help our students improve their intelligibility?

There are a number of factors that influence a student’s spoken English. Here are some ways to start building it into your classes.

1. Record their speech

Making a recording can be a good way of getting a clear picture of someone’s current manner of speaking and understanding in what ways their clarity might be improved. You can do this using a smartphone or laptop computer in class or outside of it.

There are plenty of ways to encourage students to speak. Have them answer an open question; for example, ask them to talk for a minute about a topic they are passionate about or tell each other what they did at the weekend.

Listen to the recordings and help them analyze their speech. Identify parts with low levels of intelligibility. This may be related to their pronunciation, how fast they speak, the amount of hesitation, repetition, etc.

You could even take this further by asking another fluent English speaker to listen to the recording and give honest feedback about which parts they found difficult to understand.

Afterward, it’s important to explain why it was difficult to understand and what can be done to improve their intelligibility. The activity below may help.

2. Listening and shadowing

Listening is a vital part of intelligibility. After all, students have to be able to hear a word before they can say it. Listening also takes focus away from how words are written on the page.

This is key because speakers fluent in English tend to blend words together, so pronouncing each word perfectly in isolation is not a good goal. This kind of practice reinforces poor English pronunciation.

That’s where shadowing comes in.

Shadowing is a useful listen-and-repeat activity that students can use for speaking practice almost anywhere.

  • First, select some audio for your students. It should be under five minutes in length and only be based on the speech of a single proficient English speaker. For more advanced students,is a great starting point, have the student choose a topic they find interesting and are already familiar with.
  • Have students listen to the audio once quickly just to get used to how the speaker sounds. They should pay attention to the speaker’s rhythm, accent, and speaking pace. Students should be able to understand most of what is being said.

Shadowing involves trying to say the same words as the speaker at about the same time (or as fast as possible), for about 30 seconds at a time. Students can pause, try again, and even record and listen back to their own versions. Just like when you sing the words of a song you already know well, you are trying to match the speaker’s pronunciation and pace as best you can.

This will help your students focus on how fluent English speakers modulate speed, use intonation, and blend words together. By repeating what they hear, students can improve their intonation, connected speech and overall fluency.

3. Target the problem sound

This simple but fun activity will help your students focus on their individual problem sounds. It will also get them to listen to each other carefully.

Throughout the lesson, as you listen to your students speak, identify a number of words that reflect the pronunciation challenges your students face. Write the words on the board and group the words by phoneme, for example:

/i:/ Heat, Sheep
/ɪ/ Hit, Trip

Above, we can see an issue with the /i:/ and /ɪ/ sounds (the long and short “i”). Once you have enough words to work on, write a list of numbers on the board. Explain that each number has a corresponding word.

1 – Hit 4 – Hat 7 – Head

2 – Heat 5 – Heart 8 – Hood

3 – Hot 6 – Hurt 9 – Hid

As you can see in the above example, the words only differ by one phoneme (heat/hit, hot/hat, heart/hurt, etc.). This will make the exercise more challenging and useful for the students.

Next, identify the vowel sound in each word and write their phonemic symbols on the board.

Drill the sounds and the words until you are confident your students can repeat them successfully. There are a number of phonemic charts online, that can help you identify the phonemes and model the sounds for your students.

Then test the class by calling out a number and having them shout out the corresponding word. Then call out a word and get them to tell you the number. Deal with any problems that arise.

Put students into pairs. Have them read out their phone number only using the words in the list (note they can use a real number or invent one).

Their partner should listen and write down the number which corresponds with each word they hear. They should then swap roles and do the same again.

Finally, get students to check and see whether the number their partner wrote down is correct. Monitor and go back and drill any of the sounds with which students had the most problems.

4. Transcribe and drill new vocabulary

While problems with individual sounds may occasionally impede understanding, we should also focus on other aspects of pronunciation such as word stress, sentence stress and intonation.

Keep a note of any new vocabulary that comes up during your class. At the end of the lesson, take five minutes to review it with the students. Write each new word on the board and record the word stress using the oO method:

Use ‘o’ to highlight unstressed syllables and ‘O’ to highlight stressed syllables. For example, the stress is on the second syllable of the word “behavior”:

Be-hav-ior = oOo.

The stress is on the first syllable of the word “Saturday”:

Sat-ur-day = Ooo

This has the advantage of recording unstressed as well as stressed syllables. Next, drill this new vocabulary until your students get the hang of it.

To make drilling more interesting, you can also add an element of drama! Have students say the words while expressing different emotions. Ask them to secretly choose an emotion (angry/happy/sad/excited), then say the word and have the other students guess it.

You can also drill whole phrases or even sentences. Backchain drilling is an excellent way to do this and build confidence in lower-level English learners. It involves breaking phrases into sections and having students repeat them after you, from the end of the phrase to the beginning, in this way:

“the test”
“pass the test”
“I’m going to pass the test"

As well as individual sounds and word stress, back chaining also allows you to help students with their intonation and you can also use it to introduce strong and weak forms. Working on multiword expressions and longer phrases with your students will also be helpful.

How is intelligibility scored in the Versant English Test?

Employers, schools and organizations use theVersant English Testto assess an individual’s level of English. It covers the two skills of listening and speaking and also includes an Intelligibility Index rating alongside the GSE, Versant and CEFR scores.

This allows students, teachers and employers to see how easily others can understand the candidate.

The following list shows how the index is scored:

  • Intelligability Rating 5 - Excellent-The candidate can be understood effortlessly by most listeners.
  • Intelligability Rating 4 - Good-Listeners may require a little effort at times to understand some of the candidate's speech.
  • Intelligability Rating 3 - Moderate- Listeners may require some effort to understand the candidate's speech, and some may not be fully intelligible.
  • Intelligability Rating 2 - Low- Listeners may require considerable effort to try to understand the candidate's speech. Despite the effort, it may still be mostly unintelligible.
  • Intelligability Rating 1 - Very Low-Listeners may find it difficult to understand most of the candidate's speech.

This scoring rubric offers a way to assess your students’ intelligibility based on the method used in the Versant English Test.

By giving them lots of support and pronunciation practice and nurturing their confidence to speak without worrying too much about making mistakes, you can help them to improve their clarity over time, allowing them to communicate in clear, understandable spoken English.

Learn more about Versant

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    Can computers really mark exams? Benefits of ELT automated assessments

    By 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.