9 steps to teaching advanced business English

Margaret O'Keeffe
A teacher stood at the front of a class holding a tablet in front of adult students

The challenge of teaching business English to C1 level students

Once your English students reach a B2 level of English, they’re fairly competent communicators. For many learners, their motivation to improve starts to suffer when they reach this intermediate plateau. They understand almost everything and can express themselves clearly enough - so why would they want to continue learning English and achieve a C1 level of English?

The CEFR describes C1-level learners as proficient users of a language. C1-level students have a high proficiency in English and perform well in an international work environment.

How can we help our upper intermediate students reach this level and see the benefits in their own lives and careers? Here are nine steps you can take as an English language teacher to help your students achieve language proficiency.

Steps to teaching advanced business English
Reproducir
Privacy and cookies

By watching, you agree app can share your viewership data for marketing and analytics for one year, revocable by deleting your cookies.

1. Nurture students’ motivation to reach new heights

For those students who do want to become more proficient, the reality is that reaching a high level can be a slow, steep climb. You will have to be a cheerleader and encourage them to get out of their comfort zone and push themselves to new heights.

The reality is that mastering a foreign language, even your first language, is a lifelong process. Advanced-level language learners need a high degree of intrinsic motivation. If they can enjoy the challenge of developing new skills and feel satisfaction at watching a favorite TV show in its original version, there is no turning back.

There is a demand for business English and having a strong command of it is beneficial in the business world. It provides individuals with more opportunities for career advancement. Additionally, it boosts students' confidence in using English in the workplace.

2. Promote goal setting

Get learners to set goals for themselves and review the goals regularly. Use the SMART acronym:

  • Specific
  • Measurable
  • Achievable
  • Realistic
  • Timebound

This helps with motivation and gives rise to a sense of achievement. It is particularly useful for busy in-company students. One simple example is: ‘I will do one piece of written homework this term’.

3. Encourage incidental learning

Give your students support and act as a role model as they develop lifelong learning habits and become more self-directed learners.Encourage them to read more widely in English for pleasure and general interest; business blogs, newspaper articles, journals, novels, etc. The wider the variety of genres and topics, the better.

Provide guidance and learning strategies for students if necessary, such as offering tips for watching TV shows and films in the original versions, or advice on choosing something to read.

Regularly check in with students about how they are practicing their English outside the classroom. You gain a lot of insight into their interests and learning. It can inspire their peers in the process too.

4. Broaden their vocabulary range

Knowing a word includes many aspects: different meanings of the same word, when is it appropriate to use, common collocations, pronunciation, different parts of speech, phrasal verbs and phrases. C1 students have to practice and develop their vocabulary range.Learners may have a passive knowledge of many phrasal and prepositional verbs but still avoid using them as part of their active vocabulary. Draw their attention to useful phrasal verbs in reading and listening texts and video content. Vocabulary is much easier to learn in context.

Provide opportunities for students to practice using the target language in speaking and writing; the more personalized the tasks, the more memorable. Regularly review and recycle phrasal verbs that come up, for example, through revision exercises, games and quick tests, to help students incorporate these into their active vocabulary.

Similarly, point out good examples of more idiomatic language in texts and provide opportunities for students to use it themselves, writing their own example sentences. Occasionally model alternatives to broaden and enrich their vocabulary (T: Was it a successful meeting? I mean, was it very fruitful?)

When giving students feedback and correcting speaking and writing tasks, include examples of a more natural or idiomatic way that students could say something.

5. Make time for emergent language

A lot of incidental learning of new vocabulary takes place inside the classroom. As well as the target vocabulary you present in a structured lesson, take the opportunity to work on emergent language. These could be words or phrases that come up in class because students want to know how to say something to convey their meaning.

You’ll find that this is often the language our in-company students want to do their jobs, making it a priority for them. It is essential to record, keep and revise this useful emergent vocabulary.

Emergent language can also be a word or phrase that a student uses accurately and that you can see would be useful for others to know. You can follow up by drawing everyone’s attention to this useful language in the feedback session after an activity, write it on the board, check the meaning, repeat it and incorporate it into the lesson by getting learners to practice it.

6. Review and expand on core grammar areas

Review and expand on the forms and usages of the core grammar areas with C1 learners. Many in-company students need to brush up on their grammar if they have not studied formally for a long time.

Future forms, hypothesizing and additional passive structures are just some areas that are useful for business English students. And while there is not a lot of ‘new’ grammar to learn at C1 level, they still need practice using the language correctly and there is still complexity in verb patterns and syntax.

It can be all too easy for advanced classes to slip into discussion groups. However, structured lessons and linguistic aims increase the challenge, help our learners to extend their range of language structures and improve their level.

In addition, make sure students notice their fossilized errors and encourage them to correct themselves. While many mistakes (e.g. missing out indefinite articles) do not hinder communication, they do mark the difference between advanced and intermediate learners.

7. Use ‘real play’ to develop communication skills

Some of our students enjoy role-play activities and others dislike having to adopt a ‘role’ of an imaginary person that is not natural to them.

An alternative is to get students to be themselves in ‘real’ play. Give them a scenario, like a personality clash between two team members at work. Get them to ‘real’ play, giving support and guidance on how to handle the situation. Then watch a dramatized video of people dealing with the same situation. This allows students to reflect on their approach and compare it with the one used in the video.

Simulations of real-world problems or situations are engaging and challenging. It leads to genuine learning about themselves, their default responses, their working styles and the styles of others. It enhances their communication skills by offering them alternative ways to handle situations in the workplace.

8. Develop business writing skills

In higher education, learners may get lots of practice in essay writing, but not so much in the genres needed in the workplace (emails, reports, proposals, minutes). It is important to prepare learners for this. In particular, they will need to be able to differentiate between formal and informal registers. They also have to understand writing conventions (for example, structuring a proposal, using subheadings in reports).

A collaborative writing approach works well in university English classes. Focus on the writing process during the lesson: brainstorming, planning, organizing ideas, prioritizing points, etc.

Provide model texts, structural information and useful language items. Explain the marking criteria and give learners anonymous student sample answers (perhaps from a previous English course) to mark. Get students doing collaborative writing tasks using shared Google Docs. Include opportunities for peer assessment and self-assessment as well as for teacher feedback.

9. Offer students choices

Giving students choices often leads to greater engagement. In many cases, it is possible to negotiate the course content and lesson plans with in-company learners. Lessons can become dull and repetitive if we only stick to day-to-day work issues and industry-specific topics.

It is good to include broader issues (like disruptors in business) and themes related to employability skills to provide a good mix of abstract and complex topics appropriate for advanced-level business English learners. Even with pre-programmed tertiary-level courses, there is generally some scope for choice within lessons.

These are just a few tips for language teaching to advanced-level learners. English teachers have a great many roles to play in their student's language learning process and experience.

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.