AI scoring vs human scoring for language tests: What's the difference?

Charlotte Guest
A girl sat at a desk with a laptop and notepad studying and taking notes
Reading time: 6 minutes

When entering the world of language proficiency tests, test takers are often faced with a dilemma: Should they opt for tests scored by humans or those assessed by artificial intelligence (AI)? The choice might seem trivial at first, but understanding the differences between AI scoring and human language test scoring can significantly impact preparation strategy and, ultimately, determine test outcomes.

The human touch in language proficiency testing and scoring

Historically, language tests have been scored by human assessors. This method leverages the nuanced understanding that humans have of language, including idiomatic expressions, cultural references, and the subtleties of tone and even writing style, akin to the capabilities of the human brain. Human scorers can appreciate the creative and original use of language, potentially rewarding test takers for flair and originality in their answers. Scorers are particularly effective at evaluating progress or achievement tests, which are designed to assess a student's language knowledge and progress after completing a particular chapter, unit, or at the end of a course, reflecting how well the language tester is performing in their language learning studies.

One significant difference between human and AI scoring is how they handle context. Human scorers can understand the significance and implications of a particular word or phrase in a given context, while AI algorithms rely on predetermined rules and datasets.

The adaptability and learning capabilities of human brains contribute significantly to the effectiveness of scoring in language tests, mirroring how these brains adjust and learn from new information.

Advantages:

  • Nuanced understanding: Human scorers are adept at interpreting the complexities and nuances of language that AI might miss.
  • Contextual flexibility: Humans can consider context beyond the written or spoken word, understanding cultural and situational implications.

Disadvantages:

  • Subjectivity and inconsistency: Despite rigorous training, human-based scoring can introduce a level of subjectivity and variability, potentially affecting the fairness and reliability of scores.
  • Time and resource intensive: Human-based scoring is labor-intensive and time-consuming, often resulting in longer waiting times for results.
  • Human bias: Assessors, despite being highly trained and experienced, bring their own perspectives, preferences and preconceptions into the grading process. This can lead to variability in scoring, where two equally competent test takers might receive different scores based on the scorer's subjective judgment.

The rise of AI in language test scoring

With advancements in technology, AI-based scoring systems have started to play a significant role in language assessment. These systems utilize algorithms and natural language processing (NLP) techniques to evaluate test responses. AI scoring promises objectivity and efficiency, offering a standardized way to assess language and proficiency level.

Advantages:

  • Consistency: AI scoring systems provide a consistent scoring method, applying the same criteria across all test takers, thereby reducing the potential for bias.
  • Speed: AI can process and score tests much faster than human scorers can, leading to quicker results turnaround.
  • Great for more nervous testers: Not everyone likes having to take a test in front of a person, so AI removes that extra stress.

Disadvantages:

  • Lack of nuance recognition: AI may not fully understand subtle nuances, creativity, or complex structures in language the way a human scorer can.
  • Dependence on data: The effectiveness of AI scoring is heavily reliant on the data it has been trained on, which can limit its ability to interpret less common responses accurately.

Making the choice

When deciding between tests scored by humans or AI, consider the following factors:

  • Your strengths: If you have a creative flair and excel at expressing original thoughts, human-scored tests might appreciate your unique approach more. Conversely, if you excel in structured language use and clear, concise expression, AI-scored tests could work to your advantage.
  • Your goals: Consider why you're taking the test. Some organizations might prefer one scoring method over the other, so it's worth investigating their preferences.
  • Preparation time: If you're on a tight schedule, the quicker turnaround time of AI-scored tests might be beneficial.

Ultimately, both scoring methods aim to measure and assess language proficiency accurately. The key is understanding how each approach aligns with your personal strengths and goals.

The bias factor in language testing

An often-discussed concern in both AI and human language test scoring is the issue of bias. With AI scoring, biases can be ingrained in the algorithms due to the data they are trained on, but if the system is well designed, bias can be removed and provide fairer scoring.

Conversely speaking, human scorers, despite their best efforts to remain objective, bring their own subconscious biases to the evaluation process. These biases might be related to a test taker's accent, dialect, or even the content of their responses, which could subtly influence the scorer's perceptions and judgments. Efforts are continually made to mitigate these biases in both approaches to ensure a fair and equitable assessment for all test takers.

Preparing for success in foreign language proficiency tests

Regardless of the scoring method, thorough preparation remains, of course, crucial. Familiarize yourself with the test format, practice under timed conditions, and seek feedback on your performance, whether from teachers, peers, or through self-assessment tools.

The distinctions between AI scoring and human in language tests continue to blur, with many exams now incorporating a mix of both to have students leverage their respective strengths. Understanding and interpreting written language is essential in preparing for language proficiency tests, especially for reading tests. By understanding these differences, test takers can better prepare for their exams, setting themselves up for the best possible outcome.

Will AI replace human-marked tests?

The question of whether AI will replace markers in language tests is complex and multifaceted. On one hand, the efficiency, consistency and scalability of AI scoring systems present a compelling case for their increased utilization. These systems can process vast numbers of tests in a fraction of the time it takes markers, providing quick feedback that is invaluable in educational settings. On the other hand, the nuanced understanding, contextual knowledge, flexibility, and ability to appreciate the subtleties of language that human markers bring to the table are qualities that AI has yet to fully replicate.

Both AI and human-based scoring aim to accurately assess language proficiency levels, such as those defined by the Common European Framework of Reference for Languages or the Global Scale of English, where a level like C2 or 85-90 indicates that a student can understand virtually everything, master the foreign language perfectly, and potentially have superior knowledge compared to a native speaker.

The integration of AI in language testing is less about replacement and more about complementing and enhancing the existing processes. AI can handle the objective, clear-cut aspects of language testing, freeing markers to focus on the more subjective, nuanced responses that require a human touch. This hybrid approach could lead to a more robust, efficient and fair assessment system, leveraging the strengths of both humans and AI.

Future developments in AI technology and machine learning may narrow the gap between AI and human grading capabilities. However, the ethical considerations, such as ensuring fairness and addressing bias, along with the desire to maintain a human element in education, suggest that a balanced approach will persist. In conclusion, while AI will increasingly play a significant role in language testing, it is unlikely to completely replace markers. Instead, the future lies in finding the optimal synergy between technological advancements and human judgment to enhance the fairness, accuracy and efficiency of language proficiency assessments.

Tests to let your language skills shine through

Explore ɫèAV's innovative language testing solutions today and discover how we are blending the best of AI technology and our own expertise to offer you reliable, fair and efficient language proficiency assessments. We are committed to offering reliable and credible proficiency tests, ensuring that our certifications are recognized for job applications, university admissions, citizenship applications, and by employers worldwide. Whether you're gearing up for academic, professional, or personal success, our tests are designed to meet your diverse needs and help unlock your full potential.

Take the next step in your language learning journey with ɫèAV and experience the difference that a meticulously crafted test can make.

More blogs from ɫèAV

  • Students sat together in a classroom working together

    Exploring the four Cs: Using future skills to unlock young learners’ potential

    By Annie Altamirano
    Reading time: 5 minutes

    What do we mean by future skills?

    The skills students will need in their future studies and careers are dramatically different from those required previously. Times are changing rapidly and educational institutions and teachers have a critical role to play in developing those skills in our young learners so that they are able to fulfill their potential and have bright futures ahead of them.

    These skills are referred to as future skills. There is no common consensus on how to define these skills but, broadly speaking, they can be grouped into four categories:

    1. Ways of thinking

    Skills in this category include critical thinking, creativity, innovation, problem solving, metacognition and learning skills.

    2. Ways of working

    Here, we’re talking about the skills of communication and collaboration.

    3. Tools for working

    Information literacy is an important 21st-century skill, as well as ICT literacy and citizenship, both global and local.

    4. Life skills

    The final category covers life and career skills, and is all about personal and social responsibility.

    One way you can encourage young learners to build these skills is through STEAM subjects (that’s science, technology, engineering, arts and math), which will equip them with functional skills such as organizing, planning, cognitive flexibility and self-regulation.

    The four Cs

    The four Cs refer to four important skills for young learners to master: communication, collaboration, critical thinking and creativity. These are essential, not just in an educational context, but in everyday life.

    Falling into the first two categories of future skills (ways of thinking and ways of working), these can help children build confidence and self-esteem. They also encourage healthy emotional development.

    So let’s take a closer look at the theory behind them.

    1. Communication

    We usually think of communication as speaking and listening, but it’s actually much broader than that. Communication encapsulates telling stories, reading, sharing ideas and experiences, body language, facial expression, eye contact and tone. Children learn to decipher the world around them by learning and practicing these skills.

    Strong communication skills, developed early, are directly related to their literacy success. These skills allow children to articulate their thoughts and ideas effectively, and listen to decode meaning. Students then begin to use communication for a range of purposes, and communicate effectively in diverse environments. Furthermore, developing strong patterns of verbal and non-verbal communication also fosters self-esteem and social skills.

    2. Collaboration

    Collaboration is how young children begin to build friendships with others. At first, young children will watch what others do and say, before moving on to playing together. As they get older, they become aware of other children’s feelings and ideas. Friendships become motivating and they learn how to make compromises and respect each other’s perspectives and skills.

    Collaboration is enhanced through group work and project-based activities, sharing time with peers. Children thrive when they feel valued by the people around them, not just adults but their peers too.

  • Business people stood together around a laptop in a office

    Learning English and employability

    By Tas Viglatzis
    Reading time: 4 minutes

    English not only opens up career opportunities beyond national borders; it is a key requirement for many jobs. It’s also no longer a case of just learning English for employability, but mastering English for business – and that means an on-going commitment to learn.

    My experience is consistent with this trend. If I had to estimate the value that being fluent in English has had on my career, I'd say it was my entire life’s earnings. Learning English has offered me educational options beyond the borders of my own country and enabled me to develop the skills to work for global companies that operate across national boundaries. I have been privileged to work in different countries in roles that have spanned functions, geographies and markets – and my ability to learn and evolve my English skills has been an underlying factor throughout.

  • A teacher showing her students a globe, with her students looking at the globe, one with a magnifying glass in hand.

    What’s it like to teach English in Turkey?

    By Steffanie Zazulak
    Reading time: 3 minutes

    Alice Pilkington qualified as a CELTA (Certificate in Teaching English to Speakers of Other Languages) certified teacher in October 2009. She started working in Rome before moving to Istanbul, where she’s spent the past three and a half years teaching English to “everyone from 8-year-olds to company executives; students to bored housewives”. Having taught in two very different countries to a diverse range of English learners, Alice shares with us the five lessons she’s learned:

    1. Don't take things personally when you're teaching English

    "I am probably not emotionally suited for this job. I take everything very personally and if a lesson goes wrong or an activity I have taken time and energy to plan doesn’t work, I feel like a complete failure. It’s a trial and error experience but when things go wrong, they can go very wrong, and it really makes you doubt your abilities as a teacher.

    Having said that, the lessons that do go well can make up for these negative feelings. I shouldn’t take things personally; the majority of my colleagues don’t and it saves them a lot of sleepless nights"

    2. Teaching English is incredibly rewarding

    "There are very few feelings that I’ve experienced that compare to seeing a student use a word that you have taught them – it makes you feel like a proud parent. Equally, seeing a student improve over a series of months is so joyful.I have been teaching English university preparation students for the past year.

    In September, they could barely say what their name was and what they did over the weekend. Nine months on and they’re capable of reading academic texts and speaking at length about marketing strategies and environmental problems. It’s a wonderful thing to observe"

    3. Teach more than just English

    "Turkish students love hearing about how you appreciate their food and cultural traditions. Equally, they are genuinely interested in understanding how things operate in the UK and enjoy hearing personal anecdotes.I tend to be very open with my students – even about my personal life.I think it is partly because I have striven from the very beginning of my career to be seen as their equal.

    Turkish students are used to having a huge respect for teachers, and there is a hierarchical system in schools here, which I can never go along with. In my first lesson with most students, I tell them that they must call me by my first name (usually you refer to teachers here as ‘hocam’ which means ‘my teacher’ and shows respect) and this can take a long while for them to get used to."

    4. Failure to prepare is to prepare for failure... or is it?

    "Lessons that you spend hours preparing for generally don’t go as well as you had hoped. There were several times when I’d spend hours cutting and sticking things on pieces of card and placing pictures all over the classroom, hoping it would get some vocabulary action going, only to start the class and receive no response from the students.

    Conversely, lessons where you don’t feel very motivated or have no idea what you are going to do until you get into the classroom (which I call the ‘flying by the seat of your pants’ lessons) can turn out to be the best ones. I once had a lesson in which I was, admittedly, rather hungover. On the way to the lesson, I grabbed a book called ‘Taboos and Issues’, full of discussion topics, which I used as a basis for a rather impromptu lesson on addictions, which was very successful indeed."

    5. Teaching English isn't easy

    "Teaching English is a love/hate profession. There are weeks when you absolutely loathe it and want to quit, but then within the space of a lesson or two, you get inspired by something completely unexpected, rediscover your joy for it and love it again."