Using authentic material from the real world to teach English

A pile of open books on top of each other

There are lots of resources available to English teachers today: from textbooks to online teaching tools, they can all aid and enrich English lessons. Many ESL teachers also introduce authentic English material into their lessons to expose learners to the language as it is spoken in the real world.

Authentic material is any material written in English that was not created for intentional use in the English classroom. Using this content for teaching English can make the teaching experience even more engaging, imaginative and motivating for students. It can also be useful to elicit genuine responses from English language learners.

The great thing about using authentic material is that it is everywhere, which makes it easy to find, and simple for learners to practice English in their own time. Remember that it isn’t limited to articles from newspapers and magazines. Songs, TV programs and films, radio and podcasts, leaflets, menus – anything written in English constitutes authentic material.

Selecting authentic material

The best content to select depends on the learners, their level of English and the course content the English teacher wishes to focus on. It’s also a good idea to find out the learners’ interests – after all, there’s no point trying to get students fascinated by a text on the latest sci-fi movie if they’re all fans of action films.

The materials should reflect a situation that a student may face in an English-speaking environment – this will help them transition into a world where English is the norm. In this world, people use abbreviations, body language is important and they’ll use 'filler' sounds – such as 'ummm' – when they are speaking English – and learners will encounter these in authentic material.

It’s important not to overwhelm learners with the first piece of authentic material. So, choose articles, songs or sections of TV programs or movies that aren’t too difficult to understand or take too long to get through.

Get in touch and learn more about our courses

Some ways to use authentic material

Here are two ideas for using authentic material in class: do remember to develop the ideas into a proper lesson plan and explain the aims thoroughly to your learners…

1. Restaurant menus: order your favorite dish

Food is important to everyone, so introduce language learners to some of the common dishes in English-speaking countries so that they will be able to order meals with confidence. Many restaurants have their menus online, so you can easily download them (no need to walk or drive around the neighborhood).

Try to use local restaurants to make it more meaningful for your students, and ensure you have plenty of copies of the menu. You can then either go through the menu and ask each student to guess what the meals are, or they can write down what they would order. You could use different menus for each course, which would widen the types of dishes you can cover during the learning activity. You or another team member could pretend to be the waiter or waitress and your students can practice their spoken English by reading their order back to you.

At the end of the task, you could encourage learners to add up the cost of their courses to calculate their bill – and even ask them to add on a 10% tip to mirror the experience of being in a real restaurant. Remember, these suggestions focus on different skills, so you could use them to form lesson plans for a 'speaking' lesson, a “reading” lesson, etc.

2. Songs: recognizing English lyrics

Listening tosongs with English lyricsis an excellent way of boosting skills in listening and pronunciation, and confidence in using the language.And students will always respond positively to English classes that involve their favorite singer or band.

Ask your students to write down their favorite artist and a song by them that they like and have listened to a few times. They can then try to remember the lyrics, or look at the video on YouTube – they only need to write down a few lines of the song. Then ask them to listen to the lyrics for useful vocabulary, phrases and expressions for everyday language, including colloquial speech.

The language used in lyrics can be casual, tell a simple story or convey strong emotions, which should help learners to establish a connection with the language because it will give them new ways to describe their feelings in different situations. You could even ask them to come up with alternative words, as a way of further increasing and using their vocabulary.

Some song lyrics are commonly misheard, so you could create a quiz in which students have to choose the next words – words that grammatically fit into the lyrics. This can be a funny English lesson – for you as well as your students.

Help level up your English language program with our Global Scale of English teaching resources.

For other foreign language needs we also have the Global Scale of Languages.

Explore our GSE educator resources

More blogs from app

  • Hands typing at a laptop with symbols

    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.