Can computers really mark exams? Benefits of ELT automated assessments

Pearson Languages
Hands typing at a laptop with symbols

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. PTE Academic and Versant tests – 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 latent semantic analysis. 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 assessment to 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.”

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 Pearson, 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 Pearson Test of English Academic 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. 

Pearson English International Certificate (PEIC)

Pearson 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.

Read more about the use of AI in our learning and testing here, or if you're wondering which English test is right for your students make sure to check out our post 'Which exam is right for my students?'.

More blogs from Pearson

  • A group of teenagers reading together in a library smiling

    Ideas using festive literature in your English language classes

    By Sam Colley
    Reading time: 5 minutes

    The holiday season is a magical time to bring festive cheer and rich cultural traditions into your English language classroom. Classic holiday stories and poems not only capture the spirit of the season but also provide excellent opportunities for language learning. In this blog post, we'll suggest some timeless holiday literature and explore how they can be effectively used in the classroom to enhance your students' language skills and allow you to make the most of these festive texts.

    Classic holiday stories and poems

    A Christmas Carol by Charles Dickens

    This novella tells the story of Ebenezer Scrooge, a miserly old man who is visited by the ghosts of Christmas Past, Present and Yet to Come. Through these supernatural visits, Scrooge learns the importance of kindness, generosity and the true holiday spirit.

    How to use in the classroom:

    • Reading comprehension: Assign chapters to read in class or as homework. Discuss key events and character developments.
    • Vocabulary building: Highlight and define challenging vocabulary words. Create flashcards or vocabulary quizzes.
    • Role-playing: Have students act out scenes to practice speaking and improve their understanding of the dialogue.
    • Creative writing: Ask students to write a diary entry from the perspective of Scrooge at different points in the story.

    Discussion questions:

    - What are the main reasons for Scrooge's initial behavior?
    - How do the visits from the ghosts change Scrooge’s perspective on life?
    - What lessons can we learn from "A Christmas Carol" about the true meaning of Christmas?
     

  • Business people sat together smiling around a laptop

    Global English proficiency insights for business leaders

    By Samantha Ball
    Reading time: 2 minutes

    Are you ready to harness the power of English to drive your business forward? At Pearson, we are proud to announce the release of the  Pearson Global English Proficiency Report 2024, drawing upon extensive data to illuminate the state of English language skills worldwide. This report is meticulously crafted to equip business leaders with essential insights for informed decision-making.

  • A room of students working together at tables with laptops, tablets and notes

    Fun end-of-year activities to keep learners engaged

    By Charlotte Guest
    Reading time: 3 minutes

    The end of the school year can be bittersweet. Students are excited for the holidays, but teachers have the tricky task of keeping their attention as focus starts to fade. The upside? It’s the perfect chance to make this time fun, memorable and engaging with creative classroom ideas that really stick. Here's a list of end-of-year school activities to ensure your students stay motivated all the way to the final bell.

    1. End of year projects

    Longer projects are perfect for the end of the year because they encourage deeper engagement. Here are a few ideas to try out.

    • Class memory book: Ask students to contribute to a collaborative memory book filled with drawings, photos, or written reflections on their favorite moments of the year.
    • Passion projects: Give students the chance to dive into something they’re really interested in and wrap it up with a fun presentation or creative display.
    • Local impact projects: Challenge your learners to brainstorm ways to support their local community. They could develop a plan or even implement their ideas.

    2. Holiday-themed school activities

    With the festive season approaching, it’s the perfect excuse to blend learning with holiday cheer.

    • Cultural exploration: Encourage students to research and share how different cultures celebrate the holidays, fostering inclusivity and curiosity. They can also share how they celebrate the end of the year and any New Year traditions.
    • Art session: Organise a holiday craft-making session where students create ornaments, cards, or posters. Encourage students to write and create cards to take home to their loved ones.

    3. Interactive learning games

    Interactive games are an easy way to maintain focus and excitement.

    • Trivia challenges: Create trivia questions about topics covered during the year—bonus points for including playful or funny questions about inside jokes or class moments.
    • Escape room activities: Turn your classroom into an educational escape room with puzzles, problem-solving challenges and hidden clues.
    • AI Guess Who: Most AI chatbots will let you play games like Guess Who; play this with the class to liven things up. Let them take turns to guess who the chatbot is thinking of. You can also use 'Akinator'.

    4. Group activities

    Encourage collaboration with team tasks that bring students together.

    • Talent show: Give students the chance to showcase their talents, from singing and dancing to magic tricks and storytelling. It can be a great way to encourage them to practice language skills.
    • Debate tournaments: Divide your class into teams and set them up for friendly debates on fun or meaningful topics.
    • Story circles: Build stories as a group by having students take turns adding to the tale.

    5. Creative classroom ideas

    Don’t hesitate to think outside the box with these unique ideas:

    • Class awards ceremony: Create fun and light-hearted awards for each student, such as “Best Scientist” or “Most Curious Learner.”
    • Time capsule creation: Have students write letters to their future selves or fill a box with objects representing the year.
    • Themed classroom party: Use a theme, such as a tropical luau or winter wonderland, to bring the class together for a fun party with food, games and music.

    6. Classroom party ideas

    Every great year deserves a great finish. Host a lesson that brings your students closer together.

    • Movie afternoon: Set up your classroom and dim the lights to create a cinema atmosphere for a class movie.
    • Game board bonanza: Bring in board games and allow students a relaxed day of friendly competition. If none are available, get students to create their own games.

    Keep the learning spirit alive

    The end of the school year doesn’t have to signal the end of learning. With a bit of creativity, teachers can make the last weeks of school productive and enjoyable. From fun classroom activities to meaningful year-end projects for students, these ideas will set the stage for a memorable finish.