Explaining computerized English testing in plain English

ɫèAV Languages
a pair of hands typing at a laptop

Research has shown that automated scoring can give more reliable and objective results than human examiners when evaluating a person’s mastery of English. This is because an automated scoring system is impartial, unlike humans, who can be influenced by irrelevant factors such as a test taker’s appearance or body language. Additionally, automated scoring treats regional accents equally, unlike human examiners who may favor accents they are more familiar with. Automated scoring also allows individual features of a spoken or written test question response to be analyzed independent of one another, so that a weakness in one area of language does not affect the scoring of other areas.

was created in response to the demand for a more accurate, objective, secure and relevant test of English. Our automated scoring system is a central feature of the test, and vital to ensuring the delivery of accurate, objective and relevant results – no matter who the test-taker is or where the test is taken.

Development and validation of the scoring system to ensure accuracy

PTE Academic’s automated scoring system was developed after extensive research and field testing. A prototype test was developed and administered to a sample of more than 10,000 test takers from 158 different countries, speaking 126 different native languages. This data was collected and used to train the automated scoring engines for both the written and spoken PTE Academic items.

To do this, multiple trained human markers assess each answer. Those results are used as the training material for machine learning algorithms, similar to those used by systems like Google Search or Apple’s Siri. The model makes initial guesses as to the scores each response should get, then consults the actual scores to see well how it did, adjusts itself in a few directions, then goes through the training set over and over again, adjusting and improving until it arrives at a maximally correct solution – a solution that ideally gets very close to predicting the set of human ratings.

Once trained up and performing at a high level, this model is used as a marking algorithm, able to score new responses just like human markers would. Correlations between scores given by this system and trained human markers are quite high. The standard error of measurement between ɫèAV’s system and a human rater is less than that between one human rater and another – in other words, the machine scores are more accurate than those given by a pair of human raters, because much of the bias and unreliability has been squeezed out of them. In general, you can think of a machine scoring system as one that takes the best stuff out of human ratings, then acts like an idealized human marker.

ɫèAV conducts scoring validation studies to ensure that the machine scores are consistently comparable to ratings given by skilled human raters. Here, a new set of test-taker responses (never seen by the machine) are scored by both human raters and by the automated scoring system. Research has demonstrated that the automated scoring technology underlying PTE Academic produces scores comparable to those obtained from careful human experts. This means that the automated system “acts” like a human rater when assessing test takers’ language skills, but does so with a machine's precision, consistency and objectivity.

Scoring speaking responses with ɫèAV’s Ordinate technology

The spoken portion of PTE Academic is automatically scored using ɫèAV’s Ordinate technology. Ordinate technology results from years of research in speech recognition, statistical modeling, linguistics and testing theory. The technology uses a proprietary speech processing system that is specifically designed to analyze and automatically score speech from fluent and second-language English speakers. The Ordinate scoring system collects hundreds of pieces of information from the test takers’ spoken responses in addition to just the words, such as pace, timing and rhythm, as well as the power of their voice, emphasis, intonation and accuracy of pronunciation. It is trained to recognize even somewhat mispronounced words, and quickly evaluates the content, relevance and coherence of the response. In particular, the meaning of the spoken response is evaluated, making it possible for these models to assess whether or not what was said deserves a high score.

Scoring writing responses with Intelligent Essay Assessor™ (IEA)

The written portion of PTE Academic is scored using the Intelligent Essay Assessor™ (IEA), an automated scoring tool powered by ɫèAV’s state-of-the-art Knowledge Analysis Technologies™ (KAT) engine. Based on more than 20 years of research and development, the KAT engine automatically evaluates the meaning of text, such as an essay written by a student in response to a particular prompt. The KAT engine evaluates writing as accurately as skilled human raters using a proprietary application of the mathematical approach known as Latent Semantic Analysis (LSA). LSA evaluates the meaning of language by analyzing large bodies of relevant text and their meanings. Therefore, using LSA, the KAT engine can understand the meaning of text much like a human.

What aspects of English does PTE Academic assess?

Written scoring

Spoken scoring

  • Word choice
  • Grammar and mechanics
  • Progression of ideas
  • Organization
  • Style, tone
  • Paragraph structure
  • Development, coherence
  • Point of view
  • Task completion
  • Sentence mastery
  • Content
  • Vocabulary
  • Accuracy
  • Pronunciation
  • Intonation
  • Fluency
  • Expressiveness
  • Pragmatics

More blogs from ɫèAV

  • Students sat together in a classroom working together

    Exploring the four Cs: Using future skills to unlock young learners’ potential

    By Annie Altamirano
    Reading time: 5 minutes

    What do we mean by future skills?

    The skills students will need in their future studies and careers are dramatically different from those required previously. Times are changing rapidly and educational institutions and teachers have a critical role to play in developing those skills in our young learners so that they are able to fulfill their potential and have bright futures ahead of them.

    These skills are referred to as future skills. There is no common consensus on how to define these skills but, broadly speaking, they can be grouped into four categories:

    1. Ways of thinking

    Skills in this category include critical thinking, creativity, innovation, problem solving, metacognition and learning skills.

    2. Ways of working

    Here, we’re talking about the skills of communication and collaboration.

    3. Tools for working

    Information literacy is an important 21st-century skill, as well as ICT literacy and citizenship, both global and local.

    4. Life skills

    The final category covers life and career skills, and is all about personal and social responsibility.

    One way you can encourage young learners to build these skills is through STEAM subjects (that’s science, technology, engineering, arts and math), which will equip them with functional skills such as organizing, planning, cognitive flexibility and self-regulation.

    The four Cs

    The four Cs refer to four important skills for young learners to master: communication, collaboration, critical thinking and creativity. These are essential, not just in an educational context, but in everyday life.

    Falling into the first two categories of future skills (ways of thinking and ways of working), these can help children build confidence and self-esteem. They also encourage healthy emotional development.

    So let’s take a closer look at the theory behind them.

    1. Communication

    We usually think of communication as speaking and listening, but it’s actually much broader than that. Communication encapsulates telling stories, reading, sharing ideas and experiences, body language, facial expression, eye contact and tone. Children learn to decipher the world around them by learning and practicing these skills.

    Strong communication skills, developed early, are directly related to their literacy success. These skills allow children to articulate their thoughts and ideas effectively, and listen to decode meaning. Students then begin to use communication for a range of purposes, and communicate effectively in diverse environments. Furthermore, developing strong patterns of verbal and non-verbal communication also fosters self-esteem and social skills.

    2. Collaboration

    Collaboration is how young children begin to build friendships with others. At first, young children will watch what others do and say, before moving on to playing together. As they get older, they become aware of other children’s feelings and ideas. Friendships become motivating and they learn how to make compromises and respect each other’s perspectives and skills.

    Collaboration is enhanced through group work and project-based activities, sharing time with peers. Children thrive when they feel valued by the people around them, not just adults but their peers too.

  • uni students stood in a hallway together looking over books and notes

    Rethinking access: How at-home English testing Is reshaping global admissions

    By Abi Fordham
    Reading time: 2 minutes

    When I think about the students we serve, those dreaming of studying in the U.S., sometimes from places far from test centers or perhaps with limited resources, I’m reminded why we do what we do and why, as a company, we evolve. Access to education shouldn’t depend on geography, cost, or circumstance. However, for some international students, proving their English proficiency has long been an extra hurdle to jump.

    That is changing. And it is changing fast.

    A new kind of test for a new kind of student

    The ɫèAV English Express Test was built with flexibility and accessibility at its foundations. It is available 24/7, can be taken from anywhere quiet and secure with a stable internet connection, and delivers results in minutes, with certification in under 48 hours.

    That means no more waiting weeks for a test date or traveling hours across land (and sometimes sea!) to a test center. For students juggling work, family, or unpredictable schedules, this is a game-changer.

    And it is not just about convenience. It is about equity.

    Fairness, built in

    One of the most exciting things about ɫèAV English Express Test is how it levels the playing field. The test uses AI scoring that has been rigorously developed and validated by human experts. This reduces bias and ensures that every student is assessed consistently, no matter where they are from or what accent they have.

    We’ve also built in over90 security features including dual-camera proctoring, ID and speaker verification. So, institutions can trust the results, and students can trust the process.

    Meeting students where they are

    Today’s learners are digital experts. They expect speed, flexibility, and transparency. ɫèAV English Express Test meets them where they are, both literally and figuratively! It is a test that fits into their lives, not the other way around.

    And institutions are taking notice, with universities and institutions joining the list to accept the test for their future admissions windows. At NAFSA, we heard again and again how refreshing it was to see a trusted name like ɫèAV offering a modern, student-friendly alternative.

    This is just the beginning

    At-home testing is not a trend. It is a transformation. It is about removing barriers and opening doors. And while ɫèAV English Express Test is still new, to be launched to test takers in certain markets later in 2025, it is already moving towards helping students take that first step toward their academic dreams.

  • Business people stood together around a laptop in a office

    Learning English and employability

    By Tas Viglatzis
    Reading time: 4 minutes

    English not only opens up career opportunities beyond national borders; it is a key requirement for many jobs. It’s also no longer a case of just learning English for employability, but mastering English for business – and that means an on-going commitment to learn.

    My experience is consistent with this trend. If I had to estimate the value that being fluent in English has had on my career, I'd say it was my entire life’s earnings. Learning English has offered me educational options beyond the borders of my own country and enabled me to develop the skills to work for global companies that operate across national boundaries. I have been privileged to work in different countries in roles that have spanned functions, geographies and markets – and my ability to learn and evolve my English skills has been an underlying factor throughout.