The role of AI in English assessment

Pearson Languages
A woman holding a tablet stood in a server room

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. 

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    Pearson’s recent report, “How English empowers your tomorrow,” carries significant implications for educators. It underlines that increased English proficiency correlates with improved economic and social outcomes. Educational institutions play a crucial role in preparing students for professional success, employing various pedagogical approaches and teaching methods to meet the diverse needs of learners across universities, colleges and schools. However, the main unfortunate result of the report for educators is the argument that learners are leaving formal education without the essential skills required to achieve these better outcomes.

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    Empowering future educators: Integrating the GSE into pre-service teacher training

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    Implementing the GSE

    Our implementation process started with conducting in-service training sessions for the faculty members, many of whom were also unfamiliar with the GSE. To ensure comprehensive understanding, we organized meetings with the teacher trainers responsible for teaching the methodology courses. These sessions consisted of in-depth discussions on the nature of the GSE, its significance in language teaching and practical guidance on integrating it into the curriculum we were following.

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    The lesson then transitioned into practical exercises designed to familiarize the teachers with the toolkit. Through guided instructions, such as selecting a target group, a skill, and a proficiency range, we prompted them to engage in activities aimed at perceiving the usefulness of the toolkit. We then asked them to report on some chosen parameters, such as the selected range, the number of objectives identified, and the potential text materials applicable to the chosen skill (e.g., reading comprehension). We followed a similar process for the other skills. 

    The second part of the lesson illustrated how different teaching materials were mapped with the GSE framework, utilizing sample coursebooks like Speakout, Roadmap and Startup. The lesson concluded with getting reflections from the pre-service teachers on their perceptions of the GSE. We gathered their insights on its usefulness, including its impact on curriculum design, teaching methodologies, and skill assessment practices.

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    The benefits 

    What did we gain by integrating the GSE into our pre-service teacher education program? Quite a few significant benefits, actually. Firstly, it standardized the language and terminology used throughout the department; when we refer to terms like 'learning outcomes', 'proficiency of language learners' or 'learner progress', everyone understands the set of terms uniformly across our department. No need to mention that our pre-service teachers gained the privilege of being introduced to a widely recognized toolkit in the field. While their peers may not yet be familiar with the GSE, our students gain early exposure to this valuable resource. Incorporating the GSE into our program also has allowed our pre-service teachers access to a range of valuable resources.

    In addition to the GSE Toolkit, resources such as Text Analyzer or instructional materials aligned with the GSE help our future teachers plan and deliver language instruction more effectively. As a result, our pre-service teachers enter the field with a deeper understanding of language assessment, proficiency levels, and learner needs.

    Next steps

    What's next? There's still much to accomplish and a considerable journey ahead of us. Currently, our primary focus is on making our initiatives more public, aiming to share our experiences with other pre-service teacher education programs considering integrating the GSE into their curriculum. In addition, introducing the GSE to in-service teacher programs in Turkey and globally could also be valuable for enhancing language teaching practices and the professional development of language teachers worldwide.

    Publishing articles, presenting at conferences, hosting workshops, or developing online resources might be some of the sources for sharing our practices. Increasing the awareness of policymakers, school administrators, and language teachers on the GSE and highlighting the benefits of using a standardized granular framework like the GSE can encourage broader adoption and implementation across educational settings. Collaboration opportunities with other institutions and stakeholders in language education will help all of us to reach our destination more quickly and efficiently. Finally, research on the impact of the GSE in language education is required to refine our approaches.

    As a result, we are very pleased with the integration of the GSE into our teacher education program, as it has paved the way for significant advances. While recognizing there's still a considerable journey ahead, we also celebrate the progress we've made thus far and are curious about the other possible opportunities that lie ahead.