Bridging the gap: How to equip English learners with workplace-ready language skills

Samantha Ball
Students in uniform sat at tables in a classroom with a teacher at the front talking to them all.
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Educators worldwide are faced with a vital challenge: closing the language education gap between traditional schooling and the practical language requirements of the modern workplace. With English established as the language of international business and in light of our ground-breaking new research, the need for education to address this disparity has never been more critical.

In this blog post, we'll explore why teaching English through a lens of real-world application is necessary, what our research shows about the current gap in language education, and some ideas for how English teachers can integrate employability-focused lessons into their own English teaching curriculum.

Empower your learners with the English skills they need | ÃÛÌÒapp Impact of English
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The global language landscape

Almost 20% of the world's population as a first, second, or additional language, and many use it in their jobs. For many, English proficiency means more than communication alone; it is also tied to career advancement, job opportunities, salary scales and job satisfaction.

Our research shows that a staggering 80% of professionals believe that fluency in English correlates with earning potential, and employees who are confident in their English language skills and abilities often report greater satisfaction with their jobs and income.

A significant barrier to bridging the gap between educational English and workplace-ready skills lies in learners' confidence levels. Many students, despite years of studying the language, feel unprepared and anxious about using English in a professional setting. This lack of confidence can lead to missed opportunities and a reluctance to pursue certain career paths where English proficiency is paramount.

ÃÛÌÒapp's research highlights a worrying reality—many feel self-esteem issues due to limited language skills, with 19% saying they felt stupid because of their English.

Belgin Elmas,ÌýHead of the English Language Teaching Department, TED University, TurkeyÌý

A paradigm shift is crucial for teacher training

"Teacher education must rethink the way it prepares future teachers. Unless teacher training focuses more on the skills needed for real-world communication, the gap between theoretical knowledge and practical application is likely to persist, leaving today's learners and tomorrow's workers frustrated with knowing the rules but being unable to use them when they need to communicate."

The education-employment divide

In our report, 54% of English learners said that they did not feel that their formal education had equipped them with adequate English proficiency. The data revealed significant differences between individual countries. For instance, only 17% of learners in Japan felt that their formal education had provided them with a good level of English proficiency, whereas in the US, this figure rose to 64%.

Despite the clear benefits of English proficiency, a considerable divide remains between what students learn in school and the skills needed in the corporate arena.

Only a quarter of learners feel fully equipped to utilize the four key language skills – listening, reading, speaking and writing – in their jobs. Out of all four skills, learners had the least confidence in speaking and writing.

What's more, the anticipated impact of AI on white-collar jobs over the next decade underscores the need for not only English proficiency but also "human skills" such as teamwork, leadership and collaboration—capabilities where proficient English is a key component.

Professional development

These issues are not limited to preparing students for work. It was found that teacher confidence in speaking and writing, along with class size, can also limit the amount of time spent on developing these productive skills. Adequate support for educators and professional development also needs to be a focus in order for students to find success.

Bridging the divide through curriculum innovation

The question, then, is how educators can bridge this gap, ensuring that students are not just learning English but are becoming proficient in its application within a professional context.

Greater focus is needed on speaking practice

Survey participants were asked about their perceived lack of relevant skills in English. The reasons they pointed out were related to the practical use of the language and can be narrowed down to three main factors:

  • Too much focus on grammar and vocabulary
  • Insufficient opportunities to practice English outside the classroom
  • Lack of English conversation practice in the classroomÌý

Employers face a skills gap in speaking and writing. Unfortunately, education systems don't focus enough resources on developing these skills.

Educational strategies for teachers

Here are a few suggestions for incorporating more skills-based learning to better meet today's language learners' needs.

Focus on functional language

Highlight English that students can use in real-life scenarios, particularly in professional contexts; Role-play exercises (e.g., job interviews, email writing) can make learning more relevant and engaging. For example, check out our Global Scale of English (GSE) learning objectives, which integrate these kinds of scenarios.

Integrate technology and gamification

Leverage the appeal of online resources and games to motivate students and provide opportunities for practice beyond the classroom, mirroring the preferences of your learners. Many language learners now incorporate some form of social media into their study routines. This trend underscores the growing importance of digital platforms in facilitating not only language learning but also cultural immersion.

Foster communication skills

Place a stronger emphasis on speaking and listening exercises to build confidence in these areas. Encourage debates, presentations and group discussions. Our language learning app Mondly by ÃÛÌÒapp puts 560 minutes of speaking practice in your learners' pockets, supplementing your teaching with even more opportunities to use English inside and outside of the classroom.

Incorporate industry-specific vocabulary

Customize lesson plans and courses to include terminology related to various fields, from IT to marketing, so students develop a specialized lexicon that will benefit them in the workplace. The can help you find topic-related vocabulary and give you helpful tips on when to teach it.

Brush up on your own English language skills

Keeping your own English skills fresh and well-practiced is important to ensure you're teaching your learners to a good standard. Look into courses and professional development, such as our to improve your teaching with the Global Scale of English.

Partnerships with companies

Partnerships between educational institutions and businesses can provide students with valuable insights into the workplace and the specific language skills required.

Such collaborations can take the form of guest lectures, classes, internships (for older and adult students), or mentorship programs, offering students first-hand experience of the professional environment.

Engagement with authentic materials and resources

Encourage the use of authentic materials in the classroom, such as business English journals, podcasts, news articles and blog posts. This not only enriches vocabulary but also acquaints learners with the language's contextual nuances, preparing them for real-world communication challenges.

Offer access to testing and certification

Provide your students with information and access to language testing platforms and resources, such as theÌýÃÛÌÒapp English International CertificateÌýfor valuable certification in the job market while continuing with an effective learning program.

Encourage continuous learning

Recommend flexible options for continued language development, like ourÌýÃÛÌÒapp English Journey or , which cater to different learning styles and schedules. Also remember to use the GSE as a helpful tool for your lessons.

The future of English teaching

By reorienting our educational strategies to close the language gap, we empower students not just to succeed academically but to thrive professionally. It's a commitment to lifelong learning that begins in the classroom and extends into every facet of their working lives.

Employers and educational institutions must collaborate to ensure that language proficiency is aligned with industry and student needs. By doing this, you as English teachers and educators both enhance the employability of graduates and contribute to a more interconnected and understanding global community.

Letizia Cinganotto, Professor at the University for Foreigners of Perugia, Italy, says:

"In our interconnected world teachers and educators need to consider innovative teaching trajectories that actively shape the evolving role of English, in order to guide learners to face the challenges of the knowledge society and to travel the global world in a lifelong fascinating journey."

For teachers looking to make a tangible difference in their students' futures, the task is clear: teach English not just as a subject, but as a versatile tool for global opportunity.

Take the next step

Curious to learn more about how to implement these changes in your classroom or educational institution? Read the full report here.

Discover in-depth insights and further information that can help bridge the educational-employment language gap.

Don't miss out on this valuable resource – click through to start transforming the way the English language is taught and applied in the modern workplace.

Harness the power of the Global Scale of English today

The world is constantly evolving, as are the global workplace demands. Arm your students with the English proficiency they need to excel in their careers by integrating the GSE into your curriculum. With a detailed framework and a wealth of resources at your disposal, the GSE offers an unparalleled tool for assessing and improving English language skills in a targeted, efficient manner.

Don't miss the opportunity to make a real difference in your students' professional futures. Explore the Global Scale of English now and start the journey towards bridging the educational-employment language gap. Together, we can prepare learners not just for the exams, but for the world.

Explore the global impact of English

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    Can computers really mark exams? Benefits of ELT automated assessments

    By ÃÛÌÒapp 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.  a²Ô»å VersantÌýtests – 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 assessmentÌýto 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.â€

    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 ÃÛÌÒapp, 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. 

    ÃÛÌÒapp English International Certificate (PEIC)

    ÃÛÌÒapp 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.