Explaining computerized English testing in plain English

app Languages
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Research has shown that automated scoring can give more reliable and objective results than human examiners when evaluating a person’s mastery of English. This is because an automated scoring system is impartial, unlike humans, who can be influenced by irrelevant factors such as a test taker’s appearance or body language. Additionally, automated scoring treats regional accents equally, unlike human examiners who may favor accents they are more familiar with. Automated scoring also allows individual features of a spoken or written test question response to be analyzed independent of one another, so that a weakness in one area of language does not affect the scoring of other areas.

was created in response to the demand for a more accurate, objective, secure and relevant test of English. Our automated scoring system is a central feature of the test, and vital to ensuring the delivery of accurate, objective and relevant results – no matter who the test-taker is or where the test is taken.

Development and validation of the scoring system to ensure accuracy

PTE Academic’s automated scoring system was developed after extensive research and field testing. A prototype test was developed and administered to a sample of more than 10,000 test takers from 158 different countries, speaking 126 different native languages. This data was collected and used to train the automated scoring engines for both the written and spoken PTE Academic items.

To do this, multiple trained human markers assess each answer. Those results are used as the training material for machine learning algorithms, similar to those used by systems like Google Search or Apple’s Siri. The model makes initial guesses as to the scores each response should get, then consults the actual scores to see well how it did, adjusts itself in a few directions, then goes through the training set over and over again, adjusting and improving until it arrives at a maximally correct solution – a solution that ideally gets very close to predicting the set of human ratings.

Once trained up and performing at a high level, this model is used as a marking algorithm, able to score new responses just like human markers would. Correlations between scores given by this system and trained human markers are quite high. The standard error of measurement between app’s system and a human rater is less than that between one human rater and another – in other words, the machine scores are more accurate than those given by a pair of human raters, because much of the bias and unreliability has been squeezed out of them. In general, you can think of a machine scoring system as one that takes the best stuff out of human ratings, then acts like an idealized human marker.

app conducts scoring validation studies to ensure that the machine scores are consistently comparable to ratings given by skilled human raters. Here, a new set of test-taker responses (never seen by the machine) are scored by both human raters and by the automated scoring system. Research has demonstrated that the automated scoring technology underlying PTE Academic produces scores comparable to those obtained from careful human experts. This means that the automated system “acts” like a human rater when assessing test takers’ language skills, but does so with a machine's precision, consistency and objectivity.

Scoring speaking responses with app’s Ordinate technology

The spoken portion of PTE Academic is automatically scored using app’s Ordinate technology. Ordinate technology results from years of research in speech recognition, statistical modeling, linguistics and testing theory. The technology uses a proprietary speech processing system that is specifically designed to analyze and automatically score speech from fluent and second-language English speakers. The Ordinate scoring system collects hundreds of pieces of information from the test takers’ spoken responses in addition to just the words, such as pace, timing and rhythm, as well as the power of their voice, emphasis, intonation and accuracy of pronunciation. It is trained to recognize even somewhat mispronounced words, and quickly evaluates the content, relevance and coherence of the response. In particular, the meaning of the spoken response is evaluated, making it possible for these models to assess whether or not what was said deserves a high score.

Scoring writing responses with Intelligent Essay Assessor™ (IEA)

The written portion of PTE Academic is scored using the Intelligent Essay Assessor™ (IEA), an automated scoring tool powered by app’s state-of-the-art Knowledge Analysis Technologies™ (KAT) engine. Based on more than 20 years of research and development, the KAT engine automatically evaluates the meaning of text, such as an essay written by a student in response to a particular prompt. The KAT engine evaluates writing as accurately as skilled human raters using a proprietary application of the mathematical approach known as Latent Semantic Analysis (LSA). LSA evaluates the meaning of language by analyzing large bodies of relevant text and their meanings. Therefore, using LSA, the KAT engine can understand the meaning of text much like a human.

What aspects of English does PTE Academic assess?

Written scoring

Spoken scoring

  • Word choice
  • Grammar and mechanics
  • Progression of ideas
  • Organization
  • Style, tone
  • Paragraph structure
  • Development, coherence
  • Point of view
  • Task completion
  • Sentence mastery
  • Content
  • Vocabulary
  • Accuracy
  • Pronunciation
  • Intonation
  • Fluency
  • Expressiveness
  • Pragmatics

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    Lengeling and Malarcher (1997) took the list of potential benefits of games in the classroom even further.

    Affective

    • Games lower the affective filter
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    Cognitive

    • Games reinforce learning
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    • Games focus on grammar in a communicative manner

    Class dynamics

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    • Games can be easily adjusted for age, level and interests
    • They utilize all four skills
    • Games require minimum preparation after the initial development stage

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    • Games could make language lessons less threatening for less confident pupils as their concern about getting sentence form wrong was reduced, and so their production greater.
    • Students learn more than just the language of the lesson when playing a game; they may learn instructional language through discussion or rules and sometimes negotiation skills and a lesson in cultural differences too.
    • Students can form a greater variety of emotional connections with language through playing games, for example acting out a word or seeing another student do so, or remembering a clue for a word.

    So, playing games can help students learn a language – but is just playing them enough? Some teachers like using games with less motivated classes who won't engage with straight practice activities and will willingly use key vocabulary and structures in a game, gaining much-needed practice without even realizing it. In today's language-learning context, though, is that a good thing?

    Motivating the unmotivated

    In recent years, much research has shown that students learn better when the intention or objective of the lesson is clear to them. In short, they understand what they're supposed to be learning and why and, when taking it to the next level, can assess their own learning and be actively involved in planning their next steps.

    Would knowing that the games they play are actually a way of doing some additional language practice make these students engage less? Opinion differs, and some discussion seems to center around the actual activity involved. Some games are thinly veiled group-work tasks, but other games that are at the right proficiency level (or slightly above) and take into account factors like cultural context, available time, learning topic and the classroom setting are generally considered to have a positive impact.

    Another major influence on improving motivation is the feedback a student receives, and this is something games can also support. Online games can provide richer simulated learning experiences and immediate feedback to students in a variety of ways.

    Above all, the main issue for the less motivated students is usually that they can't see why they need to learn English. Playing games not only simulates 'real' contexts but also helps them understand that they can accomplish a variety of tasks using English as a medium, which is motivational in itself.

    As teachers, there is a responsibility to explain how or why games will help students learn. This can equally motivate learners (or parents) who fear that playing games is just frivolous time-wasting. For example, informing even adult students that a simple hangman or hot seat game helps them improve spelling skills, gets their brains focused on recognizing the shape and structure of new words, and facilitates their learning of new vocabulary soon helps them see the value (Simpson 2011).

    Can games help learners acquire 21st-century skills?

    Maybe we can draw the conclusion that games can positively impact learning – but is that even enough? Today's teachers have to ensure not just that their students learn but that they acquire the skills they need for life and jobs in the 21st century. Can games help here too? This is a newer area of research, but evidence seems to indicate that games can help students learn a variety of important skills such as critical thinking skills, creativity, teamwork and good sportsmanship.

    These ideas were taken seriously by Robert Morris University Illinois, who offered an e-sports scholarship for the first time in 2014. They studied two groups of students – football players and gamers – and found that levels of competitiveness, perseverance, focus and determination were very similar. Both groups showed a similar desire to excel as part of a team. Both 'sports' required the team members to be detail-orientated, have good hand-eye coordination and have a strategic mind. The only difference was in the level of cardiovascular activity. Both groups received performance analysis and tactical advice from coaches and both subsequently made improvements.

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    All these are important skills for today's workplace, so maybe gaming can provide an opportunity to hone these in a lower-risk environment and improve business performance.

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    The benefits

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    Motivational tool

    Assessment results can be very useful in motivating students. Even small progress should be acknowledged as it can boost their confidence and encourage a positive attitude towards learning. It is important to share success stories, celebrate achievements and foster a culture of continuous improvement within your language classroom.

    Feedback for growth

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    Tracking and assessment methods

    Diverse assessment methods

    Embrace a variety of assessment methods to capture the multifaceted nature of language learning. Beyond traditional exams, integrate speaking assessments, project-based evaluations and collaborative activities. This diversity ensures a comprehensive understanding of your students' language proficiency.

    Example: Consider assigning projects that involve researching, creating presentations and demonstrating creative expression (like plays or videos) in the target language. Assessing various aspects such as language skills, creativity and critical thinking. Design projects around your class's interests and motivations.

    Formative assessments

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    Example: Conduct regular quizzes, polls or short assessments during class to evaluate students' understanding. Use quick checks to gauge student understanding to adjust teaching methods accordingly. This will help you tailor your teaching methods in real time to ensure effective lesson delivery.

    Portfolio assessment

    Encourage students to maintain language portfolios. These portfolios can include samples of their written work, recorded conversations and reflections on their language learning journey. Portfolio assessments offer a holistic view of progress and provide students with a tangible record of their achievements.

    Example: Conduct periodic portfolio reviews to discuss progress and set goals. Encourage frequent reflection to show learners how far they've come.

    Self-assessment

    Empower students to self-assess. Encourage reflection on their language skills, setting goals and evaluating their own progress. Self-assessment also fosters a sense of responsibility and independence in the learning process. When students take ownership of their progress, they become more invested in their education and are more likely to achieve their goals.

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    Technology integration

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    Cultural projects

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    Peer reviews

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    Students often put more effort into assignments when they know peers will review their work. This increased accountability can lead to higher-quality work and a greater commitment to language learning.

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    Assessing and tracking language learning progress is integral to effective language teaching, requiring continuous interaction between educators and students.

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