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.

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    Tips for keeping learners studying over the holiday season

    By Nicolas Chaparro
    Reading time: 3.5 minutes

    Nicolas Chaparro is a Colombian language teacher with a bachelor's degree in basic education, specializing in humanities and languages. After spending five years working as a systems technician, he discovered the potential of technology to enhance learning, which ignited his passion for dynamic, tech-driven education. He has the privilege of working at one of Colombia's most prestigious English institutions, where he currently leads a team focused on education, creativity and motivation.Ìý

    The holiday season is a magical time and the perfect moment to spark a teacher's creativity. I've always believed that learning a language isn't just about studying—it's about living it. As a learner, I loved the resources my teachers and institutions provided, but what truly captivated me was the opportunity to engage with the world using the language skills I had acquired.

    As a teacher, I strive to give my students that same experience. I didn't expect the holiday season to become the perfect setting to turn my teaching philosophy into reality. This blog post shares a personal story of how I used a creative activity to keep my students learning and practicing English during the holidays with the support of the Global Scale of English (GSE).

    The challenge I faced: Mixed levels and ages

    The activity I designed, Christmas Carols, presented two main challenges:

    1. Diverse proficiency levels: My group included students ranging from beginners to advanced learners, all participating in the same activity. I wanted to have them all working together; that's what language means to me.Ìý
    2. Varied age groups: The students also spanned different age ranges, which required an effective approach to engage everyone. It was a Christmas gathering meeting with all the institution's students.

    Basic students worked on identifying vocabulary that is similar to their native language and then used it in a short text. Intermediate students solved riddles to guess words that could be included in the lyrics. Advanced students completed questionnaires to build sentences and find synonyms to refine the text. The carol was divided into three sections: the first paragraph was for basic students, the second for intermediate students and the third for advanced students. I also included French students in the activity, which was designed for both languages.

    After the students completed their tasks in separate groups, I mixed them so they could explain the vocabulary they had learned to one another. To facilitate communication without relying on Spanish, I used pictures and Christmas props to help them express themselves visually.

    Finally, we all came together and sang the carol as one group.

    Turning challenges into opportunities with the GSE

    For me, a successful language activity needs three essential components: clear instructions, engaging resources and opportunities for interaction. With these principles in mind, I crafted an inclusive and dynamic activity, using the GSE to guide my planning.

    Step 1: Defining the goal

    I realized that most of my students didn't know specific Christmas-related vocabulary or any traditional English carols. This activity was also an opportunity to learn by myself and then share with them. This gap was my opportunity to introduce them to the holiday spirit in English.

    Step 2: Planning with the GSE

    I identified suitable goals for each proficiency level using the GSE Learning Objectives. These objectives helped me design tasks that targeted key skills—listening, speaking, reading and writing—while considering the ages and abilities of my students.

    Step 3: Preparing a scavenger hunt

    To make the activity interactive and fun, I organized a scavenger hunt. Students had to solve riddles and follow clues to find words essential for completing a Christmas song. The GSE objectives ensured that the tasks were appropriately challenging for each level.

    Step 4: Pairing students effectively

    Knowing my students well, I paired them strategically based on their proficiency and age. This pairing encouraged collaboration and allowed them to support each other throughout the activity.

    Making language visible and memorable

    One of my priorities was to make the language come alive. I brought visual aids like cards, games, and even a Christmas tree and a nativity scene—elements that most students recognized but had never explored in English. These visuals became valuable tools for teaching vocabulary in a tangible, engaging way.

    To add another layer of interaction, I used my guitar to sing along with the students. By the end of the activity, not only were we singing, but they also understood the meaning behind every word. Watching them take pride in their learning was incredibly rewarding and I knew this vocabulary wouldn't stop there; they would take it home and make it real for them, for the season, for their life.

    Reflections and an invitation

    This experience reminded me of the power of teaching through real-life experiences. Holidays provide a unique opportunity to teach without teaching and to help students study while living the language. Tools like the GSE make it easier for us as educators to plan meaningful and impactful activities.

    My invitation to fellow teachers is twofold:

    1. Explore the GSE resources to enrich your teaching strategies.
    2. Share your ideas and activities with the teaching community. Together, we can create opportunities for our students to use the language in real and virtual contexts that inspire learning and cooperation.

    Let's make 2025 the year we bring language to life in every classroom.