6 tips for teaching business English to low level learners

Pearson Languages
A business woman in a suit sat at a laptop

The CEFR describes A1 and A2 learners as ‘basic users’ of a language. So how can we help these students to develop their English for the workplace?

Here are our six top tips:

1. Focus on high-frequency vocabulary for work

Learning English vocabulary for work context is the top priority for many low-level learners in business English classes. It helps them to communicate their message in a simple, effective way. This makes it important to teach common words and set expressions for everyday work situations.

These include:

  • lexical sets (words related to the same topic or situation) – for example, days, months, numbers, verbs to describe work routines, verbs in the past.
  • common collocations with verbs and nouns (for example, manage a team, have meetings, place an order, solve a problem).
  • functional language and fixed phrases – greetings (How are you? Nice to meet you.) and offers (How can I help you? Would you like…?).

2. Help students with vocabulary learning

Teach vocabulary items in realistic contexts. For example, phone calls, to-do lists, short emails, text messages etc.

While it might be tempting to give students lots of vocabulary to memorize, this can cause overload, be frustrating and ultimately demotivating for learners. Instead, you should aim to present eight to ten new words in a lesson as a general rule. This is an achievable number for working memory and helps to build learners’ confidence. The number of words can be a little higher if items are easy to show in images or there is repetition; for instance, the numbers 20 to 100.

Have students make simple decisions about new words, as this helps with recall later. Start with simple tasks, such as matching words and pictures or verb and noun collocations they’ve seen in a short text (for example, managing a team, call customers, writing emails, etc.). Next, ask students to complete sentences using the target words and write their own sentences using these words.

Getting students to personalize new vocabulary makes it more memorable, for instance writing sentences describing their work routines. Repetition also aids long-term memory, so make sure vocabulary is recycled in the materials in later lessons.

Finally, make a list of vocabulary games to use for revision exercises, warmers and to finish classes.

3. Maximize student speaking time

Learners need to develop their English-speaking skills for work. The classroom is a safe, low-stakes environment for them to gain fluency and confidence.

Use the audio and video scripts of short dialogues or an extract from a longer script. Students read the dialogue aloud in pairs or groups. Give feedback by drilling the stress and rhythm of any words or phrases which were difficult with the whole class. Back-chaining phrases – starting with the last sound and building up going backwards – is an excellent way to drill. Get students to swap roles and repeat the task.

You can also use another technique called disappearing dialogue. Put a short dialogue on the board for students to practice in pairs. Then delete parts of the dialogue and ask them to repeat the task, swapping roles each time. Gradually delete more parts to increase the challenge. Students can reconstruct the dialogue as a final task.

Moreover, surveys, questionnaires, true/false games, and information-gap exercises are ways to practice speaking in English, target structures, and vocabulary.

4. Provide support for speaking tasks

Use a model dialogue from the coursebook or one you wrote yourself. Ask students to build their own short dialogues by changing some details (such as names, dates, prices, and quantities). Or use one half of the dialogue and ask students to write the other part.

Then, have them perform their dialogues together with their script. Then, ask them to try to memorize it without the script. Finally, they should perform the dialogue for another pair or even for the whole class.

Give students a reason to listen to their partners when they are speaking. For example, a speaking task like placing an order on the phone, gives them a reason. The listening student can note the essential information and check their answers afterwards.

Repeating tasks with slight variations increases the challenge, improves fluency, helps students remember useful phrases, and builds self-confidence.

5. Practice work skills your students need

Students are much more engaged and motivated when the class content is relevant to their everyday situations.  They will want to learn English for work and skills they need to practice include telephoning, socializing and giving presentations.

Writing skills are also important. This includes formal and informal text messages, simple forms, less formal emails to colleagues (e.g. to update on work) and more formal emails to customers (e.g. replying to a simple inquiry).

At the start of the class, make it clear what students will be doing in the lesson. You can refer to the lesson outcome on the coursebook page or write the lesson outcome in your own words on the whiteboard. For instance, “Today you will learn to place a simple order on the phone”.

At the end of the class, ask students to respond to the self-assessment statement: “I can place a simple order on the phone.”

This is a reminder of the purpose of the lesson. It also helps the students and teachers to reflect on the progress they are making.

The grammar syllabus should also relate to English learners' communicative needs (for example, describing your company, instructions, and talking about arrangements).

6. Teach functional language phrases

Draw students’ attention to useful phrases and functional language in speaking and writing. For instance, when greeting visitors (“Nice to meet you.” “See you later.”). They can memorize these utterances and put them to immediate use outside the classroom.

Use role plays to practice work skills and functional language skills. Give learners ample time to prepare and write down what they want to say. In a phone call role play, put students back to back to increase the challenge and add an element of authenticity; even better if they can call each other on their mobile phones from separate rooms.

Similarly, with presentations (for example, introducing yourself and your company), give students time to prepare and rehearse. They can ask colleagues to video them on their mobile phones for later correction work and feedback. Or they could rehearse and film themselves at home and show the final video in the next class.

These are just a few tips and techniques for teaching corporate English to low-level learners. It’s especially important for these students to start simple, recycle language often and build their confidence in their workplace English. 

More blogs from Pearson

  • A woman with headphones dancing in her living room

    Dance your way to fluent language learning and enhanced wellbeing

    By Charlotte Guest
    Reading time: 5 minutes

    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.

  • A girl sat at a desk with a laptop and notepad studying and taking notes

    AI scoring vs human scoring for language tests: What's the difference?

    By Charlotte Guest
    Reading time: 6 minutes

    When entering the world of language proficiency tests, test takers are often faced with a dilemma: Should they opt for tests scored by humans or those assessed by artificial intelligence (AI)? The choice might seem trivial at first, but understanding the differences between AI scoring and human language test scoring can significantly impact preparation strategy and, ultimately, determine test outcomes.

    The human touch in language proficiency testing and scoring

    Historically, language tests have been scored by human assessors. This method leverages the nuanced understanding that humans have of language, including idiomatic expressions, cultural references, and the subtleties of tone and even writing style, akin to the capabilities of the human brain. Human scorers can appreciate the creative and original use of language, potentially rewarding test takers for flair and originality in their answers. Scorers are particularly effective at evaluating progress or achievement tests, which are designed to assess a student's language knowledge and progress after completing a particular chapter, unit, or at the end of a course, reflecting how well the language tester is performing in their language learning studies.

    One significant difference between human and AI scoring is how they handle context. Human scorers can understand the significance and implications of a particular word or phrase in a given context, while AI algorithms rely on predetermined rules and datasets.

    The adaptability and learning capabilities of human brains contribute significantly to the effectiveness of scoring in language tests, mirroring how these brains adjust and learn from new information.

    Advantages:

    • Nuanced understanding: Human scorers are adept at interpreting the complexities and nuances of language that AI might miss.
    • Contextual flexibility: Humans can consider context beyond the written or spoken word, understanding cultural and situational implications.

    Disadvantages:

    • Subjectivity and inconsistency: Despite rigorous training, human-based scoring can introduce a level of subjectivity and variability, potentially affecting the fairness and reliability of scores.
    • Time and resource intensive: Human-based scoring is labor-intensive and time-consuming, often resulting in longer waiting times for results.
    • Human bias: Assessors, despite being highly trained and experienced, bring their own perspectives, preferences and preconceptions into the grading process. This can lead to variability in scoring, where two equally competent test takers might receive different scores based on the scorer's subjective judgment.

    The rise of AI in language test scoring

    With advancements in technology, AI-based scoring systems have started to play a significant role in language assessment. These systems utilize algorithms and natural language processing (NLP) techniques to evaluate test responses. AI scoring promises objectivity and efficiency, offering a standardized way to assess language and proficiency level.

    Advantages:

    • Consistency: AI scoring systems provide a consistent scoring method, applying the same criteria across all test takers, thereby reducing the potential for bias.
    • Speed: AI can process and score tests much faster than human scorers can, leading to quicker results turnaround.
    • Great for more nervous testers: Not everyone likes having to take a test in front of a person, so AI removes that extra stress.

    Disadvantages:

    • Lack of nuance recognition: AI may not fully understand subtle nuances, creativity, or complex structures in language the way a human scorer can.
    • Dependence on data: The effectiveness of AI scoring is heavily reliant on the data it has been trained on, which can limit its ability to interpret less common responses accurately.

    Making the choice

    When deciding between tests scored by humans or AI, consider the following factors:

    • Your strengths: If you have a creative flair and excel at expressing original thoughts, human-scored tests might appreciate your unique approach more. Conversely, if you excel in structured language use and clear, concise expression, AI-scored tests could work to your advantage.
    • Your goals: Consider why you're taking the test. Some organizations might prefer one scoring method over the other, so it's worth investigating their preferences.
    • Preparation time: If you're on a tight schedule, the quicker turnaround time of AI-scored tests might be beneficial.

    Ultimately, both scoring methods aim to measure and assess language proficiency accurately. The key is understanding how each approach aligns with your personal strengths and goals.

    The bias factor in language testing

    An often-discussed concern in both AI and human language test scoring is the issue of bias. With AI scoring, biases can be ingrained in the algorithms due to the data they are trained on, but if the system is well designed, bias can be removed and provide fairer scoring.

    Conversely speaking, human scorers, despite their best efforts to remain objective, bring their own subconscious biases to the evaluation process. These biases might be related to a test taker's accent, dialect, or even the content of their responses, which could subtly influence the scorer's perceptions and judgments. Efforts are continually made to mitigate these biases in both approaches to ensure a fair and equitable assessment for all test takers.

    Preparing for success in foreign language proficiency tests

    Regardless of the scoring method, thorough preparation remains, of course, crucial. Familiarize yourself with the test format, practice under timed conditions, and seek feedback on your performance, whether from teachers, peers, or through self-assessment tools.

    The distinctions between AI scoring and human in language tests continue to blur, with many exams now incorporating a mix of both to have students leverage their respective strengths. Understanding and interpreting written language is essential in preparing for language proficiency tests, especially for reading tests. By understanding these differences, test takers can better prepare for their exams, setting themselves up for the best possible outcome.

    Will AI replace human-marked tests?

    The question of whether AI will replace markers in language tests is complex and multifaceted. On one hand, the efficiency, consistency and scalability of AI scoring systems present a compelling case for their increased utilization. These systems can process vast numbers of tests in a fraction of the time it takes markers, providing quick feedback that is invaluable in educational settings. On the other hand, the nuanced understanding, contextual knowledge, flexibility, and ability to appreciate the subtleties of language that human markers bring to the table are qualities that AI has yet to fully replicate.

    Both AI and human-based scoring aim to accurately assess language proficiency levels, such as those defined by the Common European Framework of Reference for Languages or the Global Scale of English, where a level like C2 or 85-90 indicates that a student can understand virtually everything, master the foreign language perfectly, and potentially have superior knowledge compared to a native speaker.

    The integration of AI in language testing is less about replacement and more about complementing and enhancing the existing processes. AI can handle the objective, clear-cut aspects of language testing, freeing markers to focus on the more subjective, nuanced responses that require a human touch. This hybrid approach could lead to a more robust, efficient and fair assessment system, leveraging the strengths of both humans and AI.

    Future developments in AI technology and machine learning may narrow the gap between AI and human grading capabilities. However, the ethical considerations, such as ensuring fairness and addressing bias, along with the desire to maintain a human element in education, suggest that a balanced approach will persist. In conclusion, while AI will increasingly play a significant role in language testing, it is unlikely to completely replace markers. Instead, the future lies in finding the optimal synergy between technological advancements and human judgment to enhance the fairness, accuracy and efficiency of language proficiency assessments.

    Tests to let your language skills shine through

    Explore Pearson's innovative language testing solutions today and discover how we are blending the best of AI technology and our own expertise to offer you reliable, fair and efficient language proficiency assessments. We are committed to offering reliable and credible proficiency tests, ensuring that our certifications are recognized for job applications, university admissions, citizenship applications, and by employers worldwide. Whether you're gearing up for academic, professional, or personal success, our tests are designed to meet your diverse needs and help unlock your full potential.

    Take the next step in your language learning journey with Pearson and experience the difference that a meticulously crafted test can make.

  • Woman standing outside with a coffee and headphones

    Using language learning as a form of self-care for wellbeing

    By Charlotte Guest
    Reading time: 6.5 minuts

    In today’s fast-paced world, finding time for self-care is more important than ever. Among a range of traditional self-care practices, learning a language emerges as an unexpected but incredibly rewarding approach. Learning a foreign language is a key aspect of personal development and can help your mental health, offering benefits like improved career opportunities, enhanced creativity, and the ability to connect with people from diverse cultures.