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    Tips for success with the app English International Certificate

    By app Languages

    Studying for the app English International Certificate (PEIC) is a challenge for any student, but there are many different areas where you can help yourself or your students achieve top grades.

    By becoming familiarized with the test format, equipping test-taking strategies and having awareness of commonly occurring vocabulary and topics, learners can be on the path to success in the PEIC.

    Know the test

    Understanding the test format and what to expect in each exam section will give students the confidence they need on test day.

    Do drills on how many sections there are, how long they have for each section, and the order of the sections too. This will help learners anticipate what’s coming next and feel prepared throughout the exam. For example, the recording is played twice in listening section 2 – dictation. If students are aware of this, they can use the first recording to note key ideas and the second to complete the dictation fully.

    Give yourself/your students plenty of practice under test conditions. Do timed mock exams, without phones or dictionaries, to help get a feel of the real test.

    As the speaking section is done simultaneously for all candidates, get yourself/your students used to communicating in loud environments. Doing mock exams for the writing sections will also help students become aware of their word count and how long it takes to achieve this. It’s important to note that each writing task has a word limit and there are penalties for being significantly above or below.

    Learn test strategies

    Knowing the test format is important, but so is being equipped with test-taking strategies. For all sections, train yourself/students to use the questions and rubric to their advantage. Underlining the keywords from the question will help learners prepare for the task ahead and predict potential answers.

    In the listening sections, students are given ten seconds before the recording is played. Learners should identify and underline keywords and use this time to predict the topic and vocabulary of the recording. Remind yourself/students that even if you think you have the answer, you need to listen carefully to the entire recording, as it’s also likely that some of the keywords will be used as distractors.

    It’s also helpful to highlight keywords in the prompts and questions in the reading sections. For example, when dealing with multiple choice questions like in section 5, test takers should first highlight keywords from the question, then scan the text for these keywords. This is the part of the text where the answer is located, and where they should direct their attention. It’s important to read this section of the text carefully and also be aware that the answer may be paraphrased or a synonym.

    Planning is crucial in the writing sections, and highlighting keywords from the question is an important planning step. Read the task carefully and identify the words that indicate the type of writing that is required and the audience. This will help guide the writing style and register. For example, in section 8, noticing the difference between writing a letter to a friend and a letter to a magazine editor will change the tone of the task.

    Build a strong lexical base

    Prepare further by building a strong grammar and vocabulary base with topical and functional language.

    Introduce yourself/students to a wide range of themes on social and current issues, as well as personal and familiar topics. It's useful for learners to note useful vocabulary and phrases and test themselves on these regularly, making a note of the spelling, as this is essential in all sections of the exam.

    Test takers will encounter gap-fill style tasks in both the listening and reading sections. Students can predict what kind of word is missing by reading around the gap. Train yourself/your students to consider what part of speech the answer will be, and if the other words in the sentence give clues to the topic or theme. Give them plenty of practice with word formation so they can easily identify the missing information.

    Higher points are awarded for complex structures and expressions during the speaking and writing sections. Teachers should provide learners with functional language such as discourse markers and linkers, so they can connect and extend their ideas. It’s also important to have a range of vocabulary they draw on to express their opinions, offer suggestions and to give reasons, as this will help give their answers complexity and depth.

    Studying these things should provide a solid knowledge base of the exam format and structure, coaching learners to use different test-taking strategies and directing their study of vocabulary and grammar, so they can work more efficiently and confidently toward their goal of passing the PEIC.

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    Explaining computerized English testing in plain English

    By app Languages

    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?