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.

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As technology and AI translation tools continue to advance, it's becoming increasingly tempting to rely on them for language-related tasks. However, this can potentially undermine motivation to learn a new language when technology seems to offer a shortcut. While machine translation can be helpful, it also has its limitations. 

Learning a language goes beyond just communication; it opens the door to different cultures, mindsets, and perspectives of the world. Machine translation, despite its efficiency, cannot replicate the cultural immersion that comes with learning a language. Spoken language nuances, idiomatic expressions, cultural references, and implicit rules that are second nature to native speakers are often lost in translation. Let's delve deeper into why learning a language is better than solely relying on machine translation.

Recently, Artificial Intelligence (AI) has shown itself to be a useful and breakthrough tool for many things, including language learning. Educators, learners and businesses are constantly seeking effective methods to impart language skills and AI-powered solutions have proved to be invaluable assets in this regard.

The impact of AI on language learning is multifaceted, presenting opportunities as well as challenges for educators, learners and corporate entities. According to a Microsoft survey, many institutions say that AI will be instrumental to improving their competitiveness, funding, and innovation.

It is a widely discussed topic nowadays. While it has its advantages, there are also some drawbacks to consider.

You may have heard the term learning management system (LMS) at work or perhaps during your time in education. For many, this throws out images of clunky, outdated systems that clumsily distribute course materials and are tough to use. But that is no longer the case. Modern LMS's are far more user-friendly, and it's time to relearn what you thought you knew about these tools. 

In this ultimate guide, we will look at everything you need to know about learning management systems and why they are so beneficial. 

What is a learning management system?

A learning management system is a digital platform or software as a service (SaaS) solution that is used to create, organize and distribute online courses. 

The idea is that these LMS platforms offer one central place for users to manage and access courses and learning materials. Depending on the user, this could be anything from self-paced e-courses to classroom training. 

This can help facilitate a range of training, studying and skills development, as well as assessments, exams and certification management. 

Who uses LMS's and why? 

There are many great uses for learning management systems but these are used primarily by businesses and educational establishments. Here are some of the most common use cases for these platforms: 

• HR and management - The HR and management team might implement these across the business to help with learning and development and make sure that organizational goals are being hit

• Employee onboarding - Those starting a new job may be given training via an LMS; this can make the onboarding process much quicker and simpler 

• Compliance training - Lots of roles require compliance training, for example health and safety training, and this is a great way for businesses to stay up to date and ensure everyone complies with regulations 

• Customer support - Some businesses use learning management systems to onboard customers or clients. This might include sharing user manuals and product guides. Plus, sales professionals might also use them to train new partners or clients in using their services or platforms. 

• Classroom learning - Lecturers and teachers can create and share course materials and align content and tests from one place. These can also be used to put a twist on traditional classroom learning. 

• Blended learning - Schools, colleges and universities may use these for online lessons and blended learning, particularly for remote students 

• Volunteer training - Charities and non-profits may also use an LMS to educate volunteers and keep them motivated about the cause 

Of course, these platforms can and will be used in other ways, but these are some of the most common and beneficial uses for LMS's. 

Who has access to LMS's?

In most cases, learning management systems will have two primary user groups: administrators and learners.  

Administrators are the people who create, manage and deliver e-learning. They may use these platforms to upload their own learning materials, or they may select courses and materials from an existing list given by the provider.

On the other hand, learners are the professionals or students who will use these platforms to train, study and gain new skills. Many modern LMS's allow multiple learners to train or access materials at the same time.

However, there is a third and final group that we have yet to mention: the parents of students using LMS's, particularly outside of school hours. In some cases, parents may have access to these systems to support students, track their progress or look at feedback from the teacher. 

Key features in modern LMS's

There are a variety of learning management systems out there and some are more advanced than others. That being said, many modern platforms will share similar features to ensure they stay competitive. Some of these key features may include: 

• Authoring tools that allow administrators to upload or build their own courses

• Access to subject matter experts who can contribute to learning and development activities 

• Automated workflows that allow for the creation of personalized learning journeys

• A resources library that holds all relevant learning materials, such as guides, video clips and courses

• Quizzes and surveys for a more fun and engaging way to assess learners 

• Compliance features, such as automatic reminders that notify learners when it is time to retrain 

• Certificates and diplomas that give learners recognition as they study and meet their targets 

• Insights and analysis for individual progress and results, allowing administrators to identify gaps or areas where support is needed

• Compatibility with mobile devices for studying on the go 

• Integrations with other internal systems and software 

This is by no means a complete list and different platforms will have different functionality. However, these are some of the most common and beneficial features of many modern LMSs.

The benefits of using learning management systems

Saving time and money

First and foremost, an LMS can be an excellent way for businesses to save time and money on training. 

Of course there is an initial investment in the platform, but training can be expensive and time-consuming, particularly if it must take place in a location outside of the workplace. Therefore, this can be the more cost-effective solution. Not to mention, the materials are quick to access and can save time and effort. 

Ensuring compliance training is completed

These platforms are an excellent way to ensure that all mandatory training is completed on time and to the highest standard. For example, industry-specific training such as fire safety or cybersecurity training. 

Provide accurate data

Administrators can access data and insights into their employee's learning. This can be a great way to see where more support is needed and to identify any skills gaps that need to be filled. Similarly, teachers can get to grips with how well their students are doing and if they need extra help in any subjects or areas.

Improves the learning experience

Whether in school or the workplace, LMS's can be a great way to improve the learning process. It allows users to study and access learning materials from one accessible location. Plus, through a multimedia approach, they can use guides, videos and more to help them learn. This can ensure they engage with the materials and stay motivated. 

Simplifying communication

Finally, an LMS can make communication between students, teachers, employees and employers far simpler. For example, automated reminders keep everyone in the loop and ensure all training is completed on time. But more than that, there is one central place to communicate, review feedback and access the same materials. 

Digital assessment is becoming more and more widespread in recent years. But what’s the role of digital assessment in teaching today? We’d like to give you some insight into digital assessment and automated scoring.

Just a few years ago, there may have been doubts about the role of AI in English assessment and the ability of a computer to score language tests accurately. But today, thousands of teachers worldwide use automated language tests to assess their students’ language proficiency.

For example, Pearson’s suite of Versant tests have been delivering automated language assessments for nearly 25 years. And since its launch in 1996, over 350 million tests have been scored. The same technology is used in Pearson’s Benchmark and Level tests.

So what makes automated scoring systems so reliable?

Huge data sets of exam answers and results are used to train artificial intelligence machine learning technology to score English tests the same way that human markers do. This way, we’re not replacing human judgment; we’re just teaching computers to replicate it.

Of course, computers are much more efficient than humans. They don’t mind monotonous work and don’t make mistakes (the standard marking error of an AI-scored test is lower than that of a human-scored test). So we can get unbiased, accurate, and consistent scores.

The top benefits of automated scoring are speed, reliability, flexibility, and free from bias.

Speed

The main advantage computers have over humans is that they can quickly process complex information. Digital assessments can often provide an instant score turnaround. We can get accurate, reliable results within minutes. And that’s not just for multiple-choice answers but complex responses, too.

The benefit for teachers and institutions is that they can have hundreds, thousands, or tens of thousands of learners taking a test simultaneously and instantly receive a score.

The sooner you have scores, the sooner you can make decisions about placement and students’ language level or benchmark a learner’s strengths and weaknesses and make adjustments to learning that drive improvement and progress.

Flexibility

The next biggest benefit of digital assessment is flexible delivery models. This has become increasingly more important since online learning has become more prominent.

Accessibility became key: how can your institution provide access to assessment for your learners, if you can’t deliver tests on school premises?

The answer is digital assessment.

For example, Versant, our web-based test can be delivered online or offline, on-site or off-site. All test-takers need is a computer and a headset with a microphone. They can take the test anywhere, any time of day, any day of the week, making it very flexible to fit into someone's schedule or situation. 

Free from bias

Impartiality is another important benefit of AI-based scoring. The AI engine used to score digital proficiency tests is completely free from bias. It doesn’t get tired, and it doesn’t have good and bad days like human markers do. And it doesn’t have a personality.

While some human markers are more generous and others are more strict, AI is always equally fair. Thanks to this, automated scoring provides consistent, standardized scores, no matter who’s taking the test.

If you’re testing students from around the world, with different backgrounds, they will be scored solely on their level of English, in a perfectly objective way.

Additional benefits of automated scoring are security and cost.

Security

Digital assessments are more difficult to monitor than in-person tests, so security is a valid concern. One way to deal with this is remote monitoring.

Remote proctoring adds an extra layer of security, so test administrators can be confident that learners taking the test from home don’t cheat.

For example, our software captures a video of test takers, and the AI detection system automatically flags suspicious test-taker behavior. Test administrators can access the video anytime for audits and reviews, and easily find suspicious segments highlighted by our AI.

Here are a few examples of suspicious behavior that our system might flag:

Image monitoring:

• A different face or multiple faces appearing in the frame
• Camera blocked

Browser monitoring:

• Navigating away from the test window or changing tabs multiple times

Video monitoring:

• Test taker moving out of camera view
• More than one person in the camera view
• Looking away from the camera multiple times

Cost

Last but not least, the cost of automated English certifications are a benefit. Indeed, automated scoring can be a more cost-effective way of monitoring tests, primarily because it saves time and resources.

Pearson English proficiency assessments are highly scalable and don’t require extra time from human scorers, no matter how many test-takers you have.

Plus, there’s no need to spend time and money on training markers or purchasing equipment.

AI is helping to lead the way with efficient, accessible, fair and cost-effective English test marking/management. Given time it should develop even further, becoming even more advanced and being of even more help within the world of English language learning and assessments. 

"What’s the most effective way to learn English?" It’s a question that has perplexed linguists for years. I see room for plenty of innovation in where it all starts - 'Ed'.

The evolution of edtech

In the seventies, reel to reel tape recorders were the latest technology. They enabled us school kids in the north of England to hear French sentences spoken by a first language speaker, rather than by an English teacher.

We looked at pictures projected onto the wall, listened to the sentences and repeated them over and over again. Not only did the audio-lingual methodology use the latest technology – but the pedagogy was also based on the 'sound' learning science of behaviorism. In a nutshell: if you repeat something often enough, it becomes automatic.

This 'drill and kill' approach to language learning has since been discredited and replaced by the communicative approach. Nevertheless, it lasted long enough to inform all of my secondary school French education.

I was considered a linguist and a grade A student. I went on to study for a French degree. But when I finally landed in France, I was unable to participate in even the most basic conversations. How effective had my language learning been?

A focus on outcomes is needed

So what is the takeaway? Publishers, entrepreneurs and edtech companies must think carefully about their products and courses. What problems are they trying to address? What outcomes are they trying to target?

It’s not enough to be innovative or novel. The shiny new toy will only engage learners for a short time if they don’t feel like they are making progress. We need to measure the impact on actual learning.

However, it is great to see so many exciting things happening in the world of edtech. For the first time, I believe we are on the cusp of delivering truly personalized learning journeys to all students –not just those who can afford individual tuition.

Many of us are developing AI that makes the learning journey adaptive, that monitors learner progress and surfaces that progress to the learner, that offers feedback on pronunciation, grammar, vocabulary, speaking and writing.

We know that feedback has a significant impact on learning. We also know that it is challenging to give feedback on spontaneous language. But this is where AI is heading and soon the vision of learners interacting with virtual tutors on various topics will be a reality.

The role of teachers in the edtech landscape

Will technology replace teachers? Unlikely. Language is a social construct. We learn languages to communicate with others – and an increasing number of language apps are partnering with online tutors and creating language communities to address this need for human interaction. But technology can supplement what the teacher does – and will be able to do so more meaningfully thanks to AI.

It can extend language learning outside of the classroom, driving faster progress. It is available 24/7.It provides learners with a safe space to practice and fail – a way to build confidence. It does not replace the teacher. Instead, it enables the teacher to be replaced in the classroom, focusing on the communicative elements of language learning that are still a challenge for apps.

The technological component of learning is constantly growing. More and more classes are taking place online – yet rather than simply being a substitute for classroom courses, they can be blended with a classroom-based approach. This often offers students a more engaging and motivating experience. This post talks about the advantages of online learning, why teachers find it useful and why students enjoy it.

Distance learning versus classroom courses

Typically, there are two sets of teachers interested in experimenting with online teaching:

• Those who are considering using distance learning courses for students who can’t attend classes.
• Those who are looking to supplement their classroom teaching with more interactive, or personalized online components.

Yet regardless of the category they fall into, they’ll often ask: “What can distance learning courses provide that classroom courses can’t?”.

And this is the right question to ask. Looking at the relative advantages of online courses helps us discern what is the best use of classroom time for learning and what is the best use of online time for learning.

Knowing this allows us to make better decisions about how and when to use online learning. Instead of simply adopting an online course, adding online components just because they look attractive, or using great technology just because it alleviates scheduling problems, we can choose them for the added value they provide.

The strengths of classroom-based learning versus online learning

The strengths of a classroom-based course are:

1. Easier community building.
2. Direct access to a live teacher for inspiration, guidance and feedback.
3. More 'live' opportunities for communicative practice with other students.
4. Provision of a structured schedule.

As for the strengths of a distance learning course, the following come to mind. They:

1. Provide easier access to course resources.
2. Offer greater convenience for the teacher and learner, and offer flexibility in scheduling.
3. Can be personalized – that is, teachers can cater to each student’s proficiency level and learning goals by delivering different online resources (including videos, readings, and listenings) to individual students so they can work on them in their own time.

However, distance learning courses have some less obvious advantages, too. Distance learning courses have shown the following trends, which have completely changed the way to see and use online learning:

Increased engagement

Number one is the rise in engagement. A well-designed distance course is aimed directly at the individual learner: there is much more practice time and immediate feedback, particularly for listening and speaking tasks. We often find that shy students and those who feel unable to participate in a classroom environment are more willing to engage with the teacher and other students in online courses.

Improved concentration

Secondly, online courses improve concentration, which, as all teachers know, is a continual problem in classrooms. Rather than being directed on what to do, students working online can select what activities to engage in, for how long, and in what sequence, which helps them stay focused.

Easier assessment

The third advantage, which is vital for a teacher, is the ease and fluidity of tracking progress. In classrooms, it’s hard to track how students progress over a whole semester, much less in each class. In online distance learning, you get constant monitoring of how well students are doing on individual tasks and progress checks, no matter what learning management system you’re using.

Why learners choose online courses

We’ve seen the potential reasons teachers may incorporate distance learning materials. But why do learners choose online courses over classroom ones?

Choice is an important aspect of engagement and motivation – and the only way that students are going to learn is if they feel engaged. Give them choices in activities, homework, schedules, tests and even grading.

For example, if teaching a class on human rights, in which students watch a short video and write a text, you could give students a choice of two videos, rather than directing them to watch a particular video. And in an exam, maybe offer a choice of different reading materials or essay topics to write on.

What’s more, giving students a choice of a distance learning course over a classroom course, a blended classroom online course, or even a choice of activities can improve motivation and increase engagement. Just make sure not to overwhelm them with too many choices!

Many people are surprised at the idea of a computer program marking an exam paper. However, computer-based testing already exists in many different formats and many different areas. Many tests or exams that form part of our daily life are taken on computers. If you’ve ever learned to drive, sat a citizenship test, done a training course at work, or completed a placement test for a language course, the odds are that you’ve already taken an automated test.

Yet despite it being so common, there is still a lack of understanding when it comes to computer-based language assessment and how a computer can evaluate productive skills like speaking and writing.

Computer-based testing: a closer look

A common issue is that people have different ideas of what these tests entail. Computers can fulfill several essential roles in the testing process, but these often go unacknowledged. For example, a variety of test questions are needed to administer an exam, along with relevant data, and computers are used to store both the questions and the data. When it comes to creating randomized exams, computer software is used to select the exam questions, based on this data.

Computers can make complex calculations far more quickly and accurately than humans. This means that processes that previously took a long time are completed in days, rather than weeks.

Artificial intelligence (AI) technology is now capable of grading exam papers, for example. This means a shorter wait for exam results. In PTE Academic, candidates receive their results in an average of two days rather than waiting weeks for an examiner to mark their paper by hand.

The benefits for students and teachers

People take exams to prove their skills and abilities. Depending on their goals, the right result can open the door to many new opportunities, whether that is simply moving on to the next stage of a course, or something as life-changing as allowing you to take up your place on a university course in another country.

A qualification can act as a passport to a better career or an enhanced education, and for that reason, it’s important that both students and teachers can have faith in their results.

Computer programs have no inherent bias, which means that candidates can be confident that they will all be treated the same, regardless of their background, appearance or accent. PTE Academic, just one of Pearson’s computer-based exams, offers students the chance to score additional points on the exam with innovative integrated test items.

This integration means that the results are a far more accurate depiction of the candidate’s abilities and provide a truer reflection of their linguistic prowess.

More than questions on a screen

It’s not as easy as simply transferring the questions onto a computer screen. All that does is remove the need for pen and paper; this is a missed opportunity to harness the precision and speed of a computer, as well as its learning potential.

Tests that have been fully digitized, such as PTE Academic, benefit from that automation; eliminating examiner bias, making the test fairer and calculating the results more quickly. Automated testing builds on the technological tradition of opening doors for the future – not closing them.

How technology enhances language testing

The development of automated testing technologies doesn’t merely make the examination process quicker and more accurate – it also gives us the chance to innovate. Speaking assessments are an excellent example of this.

Previously, this part of a language exam involved an interview, led by an examiner, who asked questions and elicited answers. But now that we have the technological capability, using a computer offers students the chance to be tested on a much wider range of speaking skills, without worrying about the inherent bias of the examiner.

Indeed, the use of a computer-based system facilitates integrated skills testing. Traditionally, language exams had separate papers focusing on the four skills of reading, listening, speaking and writing. But the more modern concept of language testing aims to assess these linguistic skills used together, just as they are in real-life situations.

Afterwards, the various scores are categorized to allow learners an insight into their strengths and weaknesses, which helps both students and teachers identify areas which need improvement. This useful feedback is only possible because of the accuracy and detail of automated exam grading.

The space race on paper

Back in the 1960s, during the space race, computers were still a relatively new concept. Kathleen Johnson, one of the first African-American women to work for NASA as a scientist, was a mathematician with a reputation for doing incredibly complex manual calculations. Although computers had made the orbital calculations, the astronauts on the first space flight refused to fly until Kathleen had checked those calculations three times.

This anecdote reminds us that - although computer technology is an inherent part of everyday life - now and then, we still need to check that their systems are working as they should. Human error still comes into play – after all, humans program these systems.

PTE Academic – a fully digitized exam

Every stage of PTE Academic, from registration to practice tests to results (both receiving and sharing them with institutions) happens online. It may come as a surprise to learn that the test itself is not taken online. Instead, students attend one of over 295 test centers to take the exam, which comes with the highest levels of data security.

This means that each student can sit the exam in an environment designed for that purpose. It also allows the receiving institutions, such as universities and colleges, to be assured of the validity of the PTE Academic result.

The future is here

We created computers, but they have surpassed us in many areas – exam grading being a case in point. Computers can score more accurately and consistently than humans, and they don’t get tired late in the day, or become distracted by a candidate’s accent.

The use of AI technology to grade student responses represents a giant leap forward in language testing, leading to fairer and more accurate student results. It also means more consistency in grading which benefits the institutions, such as universities, which rely on these scores to accurately reflect ability.

And here at Pearson, we are invested in staying at the cutting edge of assessment. Our test developers are incorporating AI solutions now, using its learning capacity to create algorithms and build programs that can assess speaking and writing skills accurately and quickly. We’re expanding the horizons of English language assessment for students, teachers and all the other professionals involved in each stage of the language learning journey.

What do driverless car engineers, telemedicine physicians and podcast producers have in common? About 10 years ago none of these positions existed. They are representative of a new technology-driven marketplace, which is evolving faster than employers, governments and education institutions can keep up.

As new jobs appear, others fall by the wayside. Today, it’s estimated that up to 50% of occupations could be automated with currently available technology. Routine jobs like data entry specialists, proofreaders, and even market research analysts are especially at risk of becoming redundant within the next 5 to 10 years. Globally, that means between 400 and 800 million workers could be displaced by automation technology by 2030, according to McKinsey.

Moreover, 65% of today’s young people will need to work in areas that do not exist in the current market. The question is, what can we do to prepare learners for a future when we have no idea what jobs they’ll be doing? Mike Mayor and Tim Goodier discuss this uncertain future and explain why English for employability is such a hot topic right now.

A rising level of English and employer expectations

Mike Mayor, Director of the Global Scale of English at Pearson, explains that while he believes employability has always been a factor in English language education, it has become more important and more of a focus for students looking to enter the workforce.

“Expectations of employers have risen as proficiency in English language, in general, has risen around the world,” he says. “They’re now looking for more precise skills.”

Tim Goodier, Head of Academic Development at Eurocentres, agrees. He explains that English language education is primarily about improving communication and soft skills – which is key for the jobs of 2030 and beyond.

“There’s a convergence of skills training for the workplace and language skills training,” Tim says. “The Common European Framework of Reference (CEFR) has recognized and, in many ways, given a roadmap for looking into how to develop soft skills and skills for employability by fleshing out its existing scheme – especially to look at things like mediation skills.”

How the Global Scale of English and CEFR have surfaced employability skills

The Global Scale of English (GSE) is recognizing this increasing prominence of English for employability. Mike explains that it’s doing this “by taking the common European framework and extending it out into language descriptors which are specific for the workplace.”

In developing a set of learning objectives for professional learners, Mike and his team have given teachers more can-do statements. “They are able to create curricula and lessons around specific business skills,” he says.

Tim comments that one of the most interesting things about the GSE is that it links can-do statements to key professions, which he explains “is another extension of what these can-do statements can be used for – and viewing competencies as unlocking opportunity.”

Showing how these skills and competencies relate to the real world of work can be a strong motivating factor for learners.

He says that teachers need to visualize what success will look like in communication “and then from there develop activities in the classroom that are authentic.” At the same time, he says that activities should be personalized by “using the learners’ own interests and adapting the course as much as possible to their future goals.”

Preparing students for the future workplace

Speaking on the role of publishing in English for employability, Mike says:

“I would say as course book creators we actually incorporate a lot of these skills into our materials, but… I think we could do to push it a little further.”

In Mike’s view, educators need to do more than teach the skills, they need to raise awareness of their context. In other words why these skills are important and how they will help them in authentic situations both in and out of the work environment.

Beyond teaching the language itself, he says publishers should be helping teachers ask:

• Are the students participating fairly in group discussions?
• Are the students actively listening?
• Are they interrupting politely?

These skills “don’t come naturally, and so just to begin raising awareness would be an added value,” he says.

Future skills: careers in 2030

In the same way we didn’t know that driverless cars would become a reality 10 years ago, we cannot say with absolute certainty which professions will arise and which will disappear. However, using tools like the GSE teacher toolkit, we can help our students develop the language and soft skills they need to navigate an ever-shifting job market. The future is an exciting place, let’s help our learners prepare themselves!

Watch the full interview with Mike and Tim below: