Enhancing workplace communication: The new role of language assessments in business success

Andrew Khan
two business people sat together in a meeting both looking at a laptop
Reading time: 4 minutes

The integration of AI tools into workplaces around the world is starting to change the way people communicate professionally. that the use of AI to help draft documents and emails is driven not only by convenience and efficiency but also by a desire to be clear and precise in language.

While potentially useful, tools to translate, generate, or ‘correct’ written text won’t help with the effectiveness of the verbal communication that powers business relationships.

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The importance of effective communication

Whether it’s customer support calls, sales presentations, health and safety instructions or day-to-day engagement with colleagues, our personal and professional interactions in the workplace rely on our ability to understand and be understood.

Equally, clarity of communication is central to many of the ‘future skills’ that employers have identified as critical to sustained success – notably .

It can be challenging for people who have English as a first language to feel confident in these skills – and even more difficult for those who may use another language at home but are required to speak English at work.

Challenges faced by second-language English speakers

When designing assessments that measure English proficiency, we need to balance the convenience and duration that enable them to fit into a fast-paced hiring workflow with the coverage that gives businesses confidence in the results. This means focusing on the most essential elements of effective communication.

Introducing the Versant by app English Speaking and Listening Test

With the new Versant by app English Speaking and Listening Test, we take just seventeen minutes to give a comprehensive picture of communicative English competence. So where do we focus?

Effective verbal communication: Balancing listening and speaking skills

As a starting point, the businesses that we heard from in our research were clear that listening is just as important a skill as speaking when it comes to making hiring decisions.

Anyone who has been through sales or customer support training in the past will likely be familiar with the phrase “you have one mouth but two ears,” meaning that, in a professional context, our ability to listen, actively and attentively, for detail and nuance, can be twice as valuable as speaking. A test that didn’t place equal weight on comprehension and productive speech when assessing communicative ability would be missing the mark.

Evolving expectations around speech

Our research also pointed to expectations around speech having shifted in recent years. The range of jobs where English is required at the point of hiring has increased in many countries – with professionals from taxi drivers to online tutors often asked to demonstrate communicative competence.

With this in mind, app has introduced the Global Scale of English Job Profiles framework to help employers define appropriate English requirements for a variety of different positions.

Customer Support roles and communicative ability

Customer Support roles, historically the main use case for testing English in the workplace, are also evolving. Employers are placing a much greater emphasis on true communicative ability to help resolve complex problems rather than scripted or pre-prepared responses delivered with US-style accents.

Designing effective assessments

Taking this into account, we recognized a need to design a more effective way of testing both the manner of speaking and the content of that speech. Manner-of-speaking scores bring together the measurement of fluency or the fluidity and cohesion of a spoken response, pronunciation and intelligibility.

Pronunciation is different from accent – a test taker can have an Indian accent, a French accent or a Japanese accent and still pronounce English words in a way that first-language speakers will expect to hear them. Intelligibility reflects the reality that we all speak in different ways, with a voice authentic to ourselves, and looks to assess whether that voice can be easily understood by others.

Measuring communication skills

The most relevant measure of communication skills isn’t whether you sound like a fluent speaker but whether you can use your ability with language to convey meaning effectively. Our speech also needs to be relevant and appropriate, with suitable vocabulary and grammatical accuracy.

We’ve found the most successful way to measure speech content is to blend short questions with a limited set of potential responses with more open-ended items. This enables test takers to speak organically and really show what they can do with their language skills.

The value of fair and objective assessments

Whether used as a hiring tool, to diagnose employees' learning and development needs or to benchmark improvement over time, English assessments can be a great asset to businesses – but only if they’re fair, objective and laser-focused on the skills that underpin true communicative competence.

Join our webinar to learn more

Join us for an insightful webinar where we will delve deeper into the role of language assessments in enhancing workplace communication and driving business success. Sign up now to secure your spot and learn how the Versant by app English Speaking and Listening Test can benefit your organization.

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    Teaching English to different groups of learners

    Let’s meet some different groups of students, learn a little more about their motivations and explore whether different motivations alter how students learn English. You may recognise some of these learners in your classes.

    1. Adult learners

    These students are learning English for pleasure or personal reasons. It might be because of travel, social or family reasons or perhaps because a better grasp of English might assist them with their careers. There are also adult learners who could be learning English as an immigration requirement.

    For example, 23-year-old Alice decided to learn English so she could meet people and have more meaningful interactions with her English-speaking neighbours. She says: “I was very shy and not very confident in speaking to people, but learning English helped me connect with others and meet new people. I have changed a lot.”

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    2. Professional learners

    These learners are typically in a more formal type of English programme and are learning the language to achieve specific career milestones, such as a promotion. Their employer might even be paying for their learning or they might be reimbursed for the cost of their lessons.

    Vincenzo is 33 and works as a Product Manager in Milan for an international organization with offices around the world. He says: “I asked to take English classes as part of my professional development. My company chose an English provider and gave me a choice of group or one-to-one classes. I chose one-to-one classes as I’m easily distracted.”

    Professional learners like Vincenzo succeed using a blended learning model of learning in class and at home that they can tailor around their lives. They have a strong motivation to succeed – that’s why learning at home works for them – but step-by-step progress provided by the GSE Learning Objectives is also important to keep this motivation alive. “I met with my teacher once a week where we would work on mistakes I would make while speaking English. He would also give me extra practice materials, like interesting games and videos to listen to in my own time, to help me really get a better understanding of the language,” Vincenzo says.

    3. Academic learners

    Learning English is a requirement for many school programmes and students will continue this at college or university. Many of these students will be learning English with a formal course that offers practice tests for high-stakes exams.

    Seventeen-year-old Subra is from Malaysia and learns English at school. Some of her family live in Australia and she is considering studying abroad to attend a University that specializes in health care. When she was young, she learned in a traditional classroom backed with tests that helped her see how she was progressing. Now she uses technology, such as her Android Huawei phone to practise her English but still needs the validation of regular testing to know she is on track.

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    AI is revolutionising every industry, and language learning is no exception. AI tools can provide students with unprecedented access to things like real-time feedback, instant translation and AI-generated texts, to name but a few.

    AI can be highly beneficial to language education by enhancing our students’ process of learning, rather than simply being used by students to ‘demonstrate’ a product of learning. However, this is easier said than done, and given that AI is an innovative tool in the classroom, it is crucial that educators help students to maintain authenticity in their work and prevent AI-assisted ‘cheating’. With this in mind, striking a balance between AI integration and academic integrity is critical.

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    Generative AI tools such as ChatGPT and Gemini have made it easier than ever for students to refine and develop their writing. However, these tools also raise concerns about whether submitted texts are student-produced, and if so, to what extent. If students rely on text generation tools instead of their own skills, our understanding of our students’ abilities may not reflect their true proficiency.

    Another issue is that if students continue to use AI for a skill they are capable of doing on their own, they’re likely to eventually lose that skill or become significantly worse at it.

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    • How can educators differentiate between genuine student ability and AI-assisted responses?

    AI-integration strategies

    There are many ways in which educators can integrate AI responsibly, while encouraging our learners to do so too.

    1.Redesign tasks to make them more ‘AI-resistant’

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    • Adapt writing tasks to be hyperlocal or context-specific. Generative AI is less likely to be able to generate texts that are context-bound. Focus on local issues and developments, as well as school or classroom-related topics. A great example is having students write a report on current facilities in their classroom and suggestions for improving the learning environment.
    • Focus on the process of writing rather than the final product. Have students use mind maps to make plans for their writing, have them highlight notes from this that they use in their text and then reflect on the steps they took once they’ve written their piece.
    • Use multimodal learning. Begin a writing task with a class survey, debate or discussion, then have students write up their findings into a report, essay, article or other task type.
    • Design tasks with skill-building at the core. Have students use their critical thinking skills to analyse what AI produces, creatively adapt its output and problem solve by fact-checking AI-generated text.

    2.Use AI so that students understand you know how to use it

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    You can also discuss the ethical implications of AI in education (and other industries) with your students, to understand their view on it and better see in what situations they might see AI as a help or a hindrance.

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    • Start by sharing the GSE Learning Objectives with students at the start of class to ensure they know what the expectations and language goals are for the lesson. At the end of the lesson, you can then have students reflect on their learning and find evidence of their achievement through their in-class work and what they’ve produced or demonstrated.
    • Set short-term GSE Learning Objectives for the four key skills – speaking, listening, reading and writing. That way, students will know what they’re working towards and have a clear idea of their language progression.