Can computers really mark exams? Benefits of ELT automated assessments

Pearson Languages
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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?'.

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    Effective communication is critical in the fast-paced world of global commerce. For non-fluent English speakers (or emerging professionals who have just entered their first business careers), crafting compelling work documents can be a daunting task. Mastering workplace writing skills is vital whether you're seeking to close a deal, make contacts, establish a professional relationship or simply make your day-to-day correspondence more impactful.

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    One example is a formal email to a client:

    Subject: Proposal for Partnership

    Dear Mr. Smith,

    I hope this email finds you well. I'm writing to present a partnership opportunity with XYZ Corp that aligns with your company's goals for expansion and innovation.

    [...]

    I look forward to your response and the possibility of future collaboration.

    Warm regards,

    Jane Doe

    Why is effective business writing important?

    Effective business writing is crucial as it reflects the professionalism and credibility of an individual and their organization. It ensures that the message is understood as intended, which is pivotal in decision-making processes and maintaining positive business relationships.

    Clear writing improves workplace communication by minimizing misunderstandings, saving time and enhancing productivity. It facilitates seamless collaboration between teams and departments and aids in developing and maintaining a positive professional image.

    Key elements of professional English writing

    When crafting business documents, several key elements ensure your workplace writing is effective and well-received. These elements include:

    • Structure and organization: A well-structured document with a clear introduction, body and conclusion makes your content more understandable and engaging. Use headings and bullet points to break down information and guide the reader through your message.
    • Tone and formality: The tone should match the context and purpose of your communication. While a business proposal might require formal language, an internal email to colleagues can be less formal. Understanding the nuances of tone can greatly impact how your message is perceived.
    • Purpose-driven writing: Every piece of corporate writing should have a clear purpose. Whether it's to inform, persuade, request or confirm, keeping the purpose in mind ensures that your writing is focused and achieves its intended goal.
    • Attention to detail: Precision and accuracy are paramount. This includes correct grammar, punctuation and spelling, as well as ensuring that all facts and figures mentioned are accurate. Errors in your writing can diminish your credibility and confuse the message.
    • Cultural sensitivity: In a global business environment, it is crucial to be aware of cultural differences and avoid culturally sensitive phrases. This sensitivity can prevent misunderstandings and foster more harmonious business relations.

    By focusing on these elements of workplace writing, you can enhance your business English writing and ensure it's both professional and effective.

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    Improving your business English writing involves focusing on clarity, conciseness and appropriateness. Here are a few strategies to get you started:

    • Immerse yourself in business language: Read a variety of business-related materials such as reports, emails and articles.
    • Practice regularly: Engage in writing exercises that mimic real-world business scenarios.
    • Get feedback: Have your writing reviewed by proficient English speakers and incorporate their suggestions.
    • Brush up on basics: Reinforce your understanding of grammar, vocabulary and punctuation.
    • Utilize technology: Take advantage of language learning apps and online courses that offer business English modules. These tools can provide interactive learning experiences and immediate feedback.
    • Join professional networks: Participate in forums and networking groups where business English is used. Observing and engaging in discussions can enhance your understanding and application of business terminologies and conventions.

    Practical business writing tips

    You've got a writing task to start but you don't quite know how to approach it. Here are some actionable steps to help you:

    • Start with a clear purpose: Define the objective of your document and stick to it.
    • Organize your thoughts: Use headings, bullet points and paragraphs to structure your content logically.
    • Be concise: Use straightforward language and eliminate redundant words.
    • Use an appropriate tone: Maintain professionalism and consider the cultural context of your audience.
    • Revise and edit: Always revise your work for errors and clarity before sending it.

    Bad corporate writing

    To illustrate what to avoid, here are a few examples of bad writing:

    • Overuse of complex vocabulary leading to confusing sentences.
    • Long-winded paragraphs that bury the main point.
    • Casual or inappropriate language and words that don't fit the business context.
    • Writing that lacks a clear call to action.
    • Ignoring cultural nuances and making assumptions based on one's own cultural context. This can lead to misinterpretations or even offense, undermining the purpose of the communication.

    A bad example

    Applying the points above, you can begin to see how this message uses some of these examples, this could be perfectly fine for written conversation with a friend but not on a more serious, professional level:

    Subject: Quick Hello and Ask 

    Hey!

    Hope this message finds ya in good spirits. Wanna catch up real quick this Thursday on a lil' something I've got on my mind? Got an idea that might just be up your alley - think major game-changer vibes for both of us. Let's make it happen. Excited to hear your thoughts!

    Cheers!

    Alex

    The effects of poor professional writing

    Poor business writing can have far-reaching repercussions that can significantly impact an individual's career progression as well as an organization's reputation. Ineffective communication may lead to misunderstandings and loss of opportunities, eroding trust between parties and taking a toll on professional relationships. It's not just about immediate confusion or delays; the long-term effects can include the potential loss of business, as clients and partners may perceive inefficiency and lack of professionalism.

    English for effective business writing

    Mastering workplace writing is a continuous process that demands dedication and practice. By focusing on clarity, structure and an audience-centered approach, you can craft messages that not only inform customers but also influence them.

    Keep refining your skills, taking feedback positively, and staying updated with trends. Your written word has the potential to make a real impact in the business world, so wield your pen (or keyboard) and write with confidence and precision.

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