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.
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.
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.
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.
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.
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.
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.
At app, we have developed a range of assessments using AI technology.
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.
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) 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?'.
In the fast-paced world of business, there is one undeniable fact that holds true: employees are the key to success. Their commitment and expertise propel organizations towards their objectives, which is why investing in a learning culture is essential. The advantages are numerous and include improved staff retention, increased productivity and the goal of higher employee engagement.
Language is not only a tool for communication but also a means to explore and comprehend diverse cultures, traditions, and perspectives. Europe, with its vast array of languages, is a prime example of this linguistic diversity. Each year on September 26th, Europe observes the European Day of Languages, which is a day solely dedicated to celebrating and embracing this linguistic richness.
Europe is a magnificent tapestry of languages, with over 200 spoken throughout the continent. This diversity is a symbol of the rich cultural heritage of each nation and reminds us of the intricate historical, social, and linguistic elements that mold our identities. The European Day of Languages inspires people to cherish and honor this linguistic heritage.
September 26th marks an important date for celebrating linguistic diversity and promoting multilingualism. This day commemorates the adoption of the "European Charter for Regional or Minority Languages" by the Council of Europe in 1992, a crucial document that recognizes and safeguards the linguistic rights of minority languages spoken within European countries. By celebrating the European Day of Languages on this date, it renews our commitment to supporting the rich diversity of languages and cultures that make our world a more vibrant and fascinating place.
The European Day of Languages offers language learners a chance to participate in language exchanges, which is an exciting opportunity. During such exchanges, learners from diverse backgrounds partner up and teach each other their native languages. This not only helps improve language skills but also promotes intercultural understanding.
Various European cities offer language workshops led by enthusiasts and experts, providing an introduction to different languages.
Storytelling is an incredibly effective tool for learning languages. Libraries, schools, and cultural centers hold multilingual storytelling sessions, where stories from different cultures are shared in their original languages. This helps both children and adults to better understand and appreciate the beauty of linguistic diversity.
Cinema provides a wonderful opportunity to explore different languages and cultures. Throughout Europe, foreign films are often shown with subtitles, enabling viewers to fully immerse themselves in new linguistic worlds.
Museums often showcase exhibitions highlighting the linguistic and cultural heritage of various regions, providing insight into the history and traditions of different languages.
Cafés and restaurants might offer special menus featuring diverse cuisines and multilingual staff – a delightfully tasty way to explore languages and cultures.
Language-based games and competitions, such as crossword puzzles and spelling bees, are organized in schools and communities to provide a fun and educational way to celebrate language.
If you are a teacher hoping to celebrate this occasion make sure to on what to do.
Check out .
Just like the European day of Languages, we at app Languages are fully committed to empowering and celebrating language learners and educators alike. That's why we are now supporting French, Italian, and Spanish language learning with the Global Scale of Languages (GSL). With these new language learning frameworks at your fingertips, you can confidently design curriculums and personalize learning pathways to help fast-track your learners’ progress and help your learners be themselves in French, Italian and Spanish.
Whether you're a teacher, a language learner, or simply someone who appreciates the beauty of languages, the European Day of Languages and the GSL provide exciting opportunities to explore, learn, and enjoy the rich tapestry of Europe's linguistic heritage.
Effective international communication is crucial in the world of global commerce. In today's borderless marketplace, companies need to be linguistically flexible to be successful. For HR managers and business practitioners, comprehensive language evaluations are not just an add-on but a vital duty that can enhance your organization's success in the international market.
This guide will take you through the crucial role of language assessment in business. It will discuss why language assessment is important, how to effectively implement it, its benefits for students and business professionals, and the current tools and technologies available. By the end, you will have the knowledge to identify the significance of language assessment in your business and make informed decisions that reflect the essential role of linguistic ability in the modern global economy.
Effective communication is the lifeblood of any successful business. When diverse teams come together, be it in an office, on a shop floor, or at a virtual meeting, the ability to exchange information clearly and concisely can mean the difference between streamlined operations and costly misunderstandings. Language assessment ensures that employees possess the necessary language skills needed to communicate across teams and with clients worldwide.
Accessing international markets hinges largely on the language capabilities of your workforce. Assessing language skills not only amplifies your organization's ability to engage with prospective clients and partners but also ensures that the customer experience is seamlessly delivered, regardless of the customer's primary language.
Proper language assessments play a pivotal role in the recruitment process. They aid in identifying candidates with the language proficiencies required for specific roles, such as those involving international correspondence or multilingual customer support. By enabling a streamlined and objective measurement of language ability, your business can attract and retain talent, securing a competitive edge in a multilingual talent pool.
Proficiency tests are the benchmarks for evaluating a person’s overall language capability. This category includes tests that cover all language skills, such as reading, writing, listening and speaking, like the Versant tests offered by app. These tests provide a comprehensive analysis that helps gauge an individual's ability to function effectively in a language, both in academic settings, the workplace and everyday contexts.
Conversational skills and the application and comprehension of language in real-world scenarios play a significant role in many job roles. Structured interviews that focus on language are a vital component of the language assessment suite. These interviews typically evaluate oral and sometimes written language skills, providing context-specific insight into how these skills might translate in a professional setting.
Simulations that mimic workplace interactions provide an immersive method of assessing language skills beyond language proficiency tests. Candidates engage in practical scenarios that mirror the challenges and dynamics of a business environment, which is particularly valuable for assessing their ability to manage real-time communication under pressure.
When starting your language assessment program, begin with a thorough needs analysis. This involves identifying which roles require language proficiency, to what level and in which languages. Then, select or develop an assessment that aligns with these requirements. It's also important to provide clear instructions and support for candidates, ensuring that the assessment process is transparent and equitable.
Personalized learning plans can be a game-changer for employees who require language improvements. Identify the areas for development, set achievable goals, and incorporate regular assessments to measure progress. This approach ensures that training is targeted and effective, helping employees advance their language skills in a way that's both strategic and supportive.
Proficient multilingualism can open doors to international career opportunities and is a key differentiator in many sectors. A dedication to mastering a foreign language can lead to personal and professional growth, including access to leadership positions and broader responsibilities.
Language proficiency is closely tied to cross-cultural understanding and competence. Business professionals who possess these abilities can traverse cultural boundaries with sensitivity and insight, essential for global leadership and successful collaborations in multicultural teams.
Clear and expressive communication fosters an environment of trust and collaboration. By investing in the linguistic abilities and listening skills of your teams, you're not only improving the performance of individual employees but also elevating the collective capacity for innovation and problem-solving within your organization.
