Can computers really mark exams? Benefits of ELT automated assessments

app 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.  aԻ Versanttests – 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 Dz’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 assessmentto 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 app, 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. 

app English International Certificate (PEIC)

app 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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    Engaging students with project work

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    Howard Gardner’s Model of Multiple Intelligences

    prompts us to ask: How is this child intelligent? He identified eight different types of intelligence which guide the way students learn:

    • Verbal-Linguistic Intelligence (Word Smart)
    • Logical-Mathematical Intelligence (Maths Smart)
    • Spatial Intelligence (Picture Smart)
    • Musical Intelligence (Music Smart)
    • Bodily-Kinesthetic Intelligence (Body Smart)
    • Naturalistic-Environmentalist Intelligence (Nature Smart)
    • Interpersonal Intelligence (People Smart)
    • Intrapersonal Intelligence (Self-Smart)
    • (He later went on to identify Existential Intelligence – Life Smart, and Pedagogical Intelligence -Teacher Smart)

    Lesson 1: Outline the student’s learning goals

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    Student learning goals – you will be able to:

    • Identify different intelligences and what they mean. Name eight different intelligences you have
    • Communicate ideas clearly through a project to demonstrate your talents and interests
    • Use your success skills more effectively.

    Tip: Video parts of lesson 1, especially discussion of the learning goals, to use as part-assessment and reflection on completion of the project.

    What do you know about the Multiple Intelligences? How are you smart?

    • Ask children what they know about multiple intelligences. Teach key language and vocabulary as necessary, depending on level.
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    • Elicit the eight ways to be smart according to Gardner. (You may need to mime). E.g. mime playing the piano or clap a rhythm to elicit Music Smart.
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    • Teach career vocabulary associated with the different intelligences. (E.g. Word Smart: journalist, teacher, lawyer, editor, TV announcer, web editor.)

    Lesson 2: Find out your smarts quiz

    Tell students they are going to do a quiz to discover how they are smart. Model each stage of the activity and do the quiz with them to find out about your own strengths. Give each student a piece of paper.

    • Take your paper and show the students how to fold it into eight sections, then unfold it and draw lines along the folds to make a grid.
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    Word Smart:Draw a dictionary and children reading, writing and speaking.

    Logic/Number Smart: Draw sums on a computer, a scientist with test tube.

    Music Smart: Draw children singing and playing musical instruments.

    Body Smart: Draw children playing a sport, dancing or cooking.

    Nature Smart:Draw trees, animals, insects, child watering a plant.

    Spatial/Picture Smart: Draw children drawing, painting or taking photos and a pilot in a plane.

    People Smart:Draw a child helping or leading a group or a group of children holding hands.

    Self-Smart: Draw children keeping a journal, researching on a computer, or meditating.

    Encourage students to order their smarts from 1-8. For example, if you love music, write number 1 in the Music Smart section and continue to 8 in order of preference. (You may wish to model this first and order your smarts from 1-8 and then encourage the children to order their smarts.)

    After the quiz

    • Encourage students to compare and discuss their results. Collect the papers and make notes about each student’s results. This will help you reach all your students when planning activities.
    • Explain that we have all the intelligences in different degrees and that all of the intelligences are equal (no intelligence is better than another). Also point out that it is important to know our strengths in order to help in all subjects. (E.g. a music smart student who finds maths challenging may want to sing multiplication tables). Remind students that we usually use several intelligences to do something and we can explore and develop all our smarts.

    Tip: Video lesson 2 to use as part of assessment.

    Lesson 3: Beginning the project

    Encourage the students to create a project for enjoyment. Explain that you want them to collaborate in groups that share the same smarts and interests and using their creativity you want them come up with an interesting topic to explore. (Remind students to concentrate on developing their success skills when they are working with others and mention that you will also be monitoring this as part of the assessment).

    Organize the students into groups of no more than five students in each. Give students time to brainstorm in their groups and come up with the best topic for the project, using their critical thinking skills. (E.g. Picture Smart students may decide to create a project about a famous artist, such as Salvador Dali).

    You may wish to give each student a (Know, Want-to-know, and Learned) to complete during the project process, asking questions such as: What do you know? What do you want to know? What have you learned?

    Lesson 4: Planning the project

    Inform students about the timing of the project. Encourage each group to make a project mind map, which will encourage them to be more creative and organized.

    Remind all the groups to keep the following questions in mind:

    • What are you going to do/make? (Presentation, PowerPoint, website, video, posters.)
    • How will you research it? (Internet, tech tools, library.)
    • How will you delegate responsibilities?
    • How will you check that your audience has understood the message of your project? What questions will you ask?

    Decide on how many lessons are needed to prepare the project and how much will be done in school or at home, depending on the age groups and timing.

    Encourage the students to share their work with the rest of the class (or in assembly.)

    Tip: Video the different groups sharing their work.

    Can assessment also be fun and engaging?

    Yes, it can; here are some tips and suggestions.

    • Show the videos you have recorded and ask the students to compare and contrast their knowledge in Lesson 1 and how it developed over the lessons. Encourage them to observe and comment on their success skills.
    • Display the photo of the Student Learning Goals poster from Lesson 1. Get the students to self-assess and decide whether they have achieved the goals that were set in Lesson 1. (You may wish to give the students three small pieces of colored paper: red to represent I understand quite well, orange to represent I understand well and green to represent I understand very well). Ask: Can you identify the different intelligences and say what they mean? Encourage the students to hold up a colored piece of paper according to their understanding. (Make a mental note of all red pieces of paper to be ready to give extra help to those students). Check understanding by getting several students to answer the question.
    • Get the children to reflect on the learning experience. What have they learned about the different intelligences? How can they develop weaker points using their strengths to help them? Can they use all eight intelligences inside and outside school? Did they manage to get along well with their classmates? Did they communicate the message of their project so that the audience understood?
    • Give individual feedback to each student. E.g. congratulate them on their attitude and effort or identify areas for improvement: “You managed to use vocabulary and language effectively when you shared your project, we understood your message perfectly.” Or “You need to work on being more collaborative.” “You weren’t on task during the project.” “How do you think you can improve that?”
    • Ask students to give you feedback on the activities they enjoyed. Get them to draw happy and sad face cards. Go through all the activities and get the students to show a happy or sad face according to whether or not they liked the activity. E.g. say “Did you like the ‘Find out your smarts’ quiz?” and ask them to hold up the happy or sad face depending on whether they liked the activity or not.

    Create fun lessons to engage all your students keeping this model in mind: traditional activities such as short fun activities and games + Howard Gardner’s model of Multiple Intelligences + PBL (Project Based Learning) + success skills + meaningful assessment. Enjoy the results with your students.

    How the Global Scale of English can help

    TheGlobal Scale of English (GSE) Learning Objectives for provides ready-made learning objectives that can help with planning curriculums and lesson and benchmarking learners’ progress. They are great for young learners because they describe language functions in a granular way, enabling educators to give their learners credit for small achievements. They also clearly show the language functions to target next in order to take learners to the next level.