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Blogs from Pearson

  • An overhead shot of a three children with notepads, tablets and phones on the table being handled by them
    • Language teaching

    How to encourage your teenage students to become independent learners

    By Pearson Languages

    Learning is a lifelong activity regardless of age, position, or ambition. Many teachers embody this philosophy themselves – and would like nothing more than for their teenage students to develop strategies to become independent learners.

    But teachers often feel frustrated when their students rely on them too much or show a lack of motivation and focus in the classroom.

    Let’s look at how to start a project that holds your students’ attention. We’ll also go into how you can help your students practice and develop a range of English language skills at the same time.

    The benefits of starting a project that interests your students

    Group projects are motivating because they give students a common objective to work towards. The need to work as part of a team teaches teens collaboration skills, such as accountability. When learners decide on roles within their groups it soon becomes apparent just how important it is for them to be responsible and do their part.

    Project work also often encourages students to push themselves beyond their comfort zones as they try and test new skills. This is often true when learners are required to present on a topic or learn how to do something practical (like using PowerPoint or Google Slides for presentation design).
    In addition, projects can test a variety of English language and 21st century skills such as:

    • critical thinking skills (for planning and development of ideas)
    • topic/subject-specific vocabulary
    • reading and listening comprehension (for researching)
    • speaking skills (for group work)
    • creative skills (for project development and production)
    • presenting skills (for the final delivery of the project)

    Furthermore, when projects take place over several classes, students often eventually get into a routine and seek less direction from the teacher. They know what needs to be done and get on with it in their groups. Of course, you will still need to monitor and offer guidance throughout the project.

    The key elements of an independent learning project

    Find a meaningful subject matter

    First, you’ll need to start with a topic that engages your students. To discover this, put students in groups (online in breakout rooms or in the classroom) and have them work together and mind map some local, national or global problems they would like to solve. For example:

    • The local theater has closed down and they want to set up a new drama club.
    • There is a lot of pollution in the capital city and they want to help reduce it.
    • The rainforest is being deforested and they want to create awareness.

    After they have a good-sized list, instruct each group to pick something they would like to learn more about. Alternatively, if your students are unlikely to find interesting problems to solve themselves, provide them with several short-level-appropriate reading materials about topics you think will catch their attention. That way they can learn about local or international issues and choose a project focus.

    Balancing guidance and instruction

    A vital goal of this project-based approach is to encourage students to be independent. That does not mean they should have no boundaries or objectives, however.

    You’ll need to set deadlines, tell them what you expect of them, and explain how they should present their projects at the end. And depending on their levels, your students will also need a certain amount of scaffolding. You can do this using a set of questions. For example:

    1. What is the main problem you want to solve?
    2. Who does it affect?
    3. Why is it important to change?
    4. What steps could you take to solve the issue?
    5. Who could help you do this?
    6. How could we do this as a group?
    7. How can we present the issue to make people care about it?

    These questions can form the basis of the project, which can last from one to several weeks, depending on their age, level and time restraints. Adapt the questions to suit your students and the specific needs of their projects.

    Facilitating teamwork

    Encourage students to work together to plan, research and present their ideas. Set days or classes by which certain project elements must be completed. This helps ensure that the students make progress and encourages them to ask you questions if they are stuck.

    Decide whether you want to give set times during your classes to work on the project, or whether you want to dedicate entire classes to their work. Also, think about how much work should be completed in your student's own time. Their workload, level of English, and access to technology will all impact your decision.

    For example:

    • Class one: Define the problem you want to solve. Consider what you need to find out, decide on individual roles and develop an action plan. Show the teacher your progress.
    • Class two: Research your project questions and share what you find with the group. Is there anything else you need to know? Show the teacher your progress.
    • Class three: Come up with a presentation outline and begin to work on it.
    • Homework: Each work on your individual presentation section.
    • Class four: Show the teacher your progress. Practice your presentations.
    • Class five: Practice and then deliver your presentations.

    You may wish to allow students the freedom to choose how they would like to present it. Give instructions on how long you expect the presentation to be. If working remotely, collaboration tools such as Google Docs, Padlet and Trello are excellent for facilitating teamwork.

    Here are some ways you might ask them to present:

    • a poster and presentation
    • an online presentation (e.g. using PowerPoint)
    • a website (on paper or online)
    • a video presentation
    • a theatrical production
    • a podcast episode.

    Keep in mind that the objective is to help them research, present and deliver a project in English. Check in regularly on progress and provide feedback and help whenever needed.

    While it’s important to monitor and guide them with the English language as they work, it’s also crucial to let students make decisions for themselves.

  • A group of young people sat at a table drinking and eating
    • Linguistics and culture

    How the English language has changed over the decades

    By Steffanie Zazulak

    All languages change over time, and there can be many different reasons for this. The English language is no different – but why has it changed over the decades?

    Some of the main influences on the evolution of languages include:

    • The movement of people across countries and continents, for example, migration and, in previous centuries, colonization. For example, English speakers today would probably be comfortable using the Spanish word 'loco' to describe someone who is 'crazy'.
    • Speakers of one language coming into contact with those who speak a different one. No two individuals speak identically: people from different geographical places clearly speak differently and even within the same community there are variations according to a speaker’s age, gender, ethnicity and social and educational background. For example, the word 'courting' has become 'dating'.
    • New vocabulary required for inventions such as transport, domestic appliances and industrial equipment, or for sporting, entertainment, cultural and leisure reasons. For example, the original late 19th century term 'wireless' has become today’s 'radio'.

    Due to these influences, a language always embraces new words, expressions and pronunciations as people come across new words and phrases in their day-to-day lives and integrate them into their own speech.

    What changes has the English language seen?

    As the English language has changed, it’s been easy to pick out words that pass into common usage. Here at Pearson English, we have explored some of these recent changes to the English language. The rise in popularity of internet slang has seen phrases such as 'LOL' (Laugh Out Loud), 'FOMO' (Fear Of Missing Out) and 'fam' (an abbreviated form of family) become firmly embedded in the English language over the past ten years.

    Every decade sees new slang terms like these appearing in the English language. And while some words or abbreviations do come from internet or text conversations, others may appear as entirely new words, a new meaning for an existing word, or a word that becomes more generalized than its former meaning, brought about by any one of the reasons above. Decades ago, 'blimey' was a new expression of surprise, but more recently 'woah' is the word in everyday usage.

    Sentence structure is of course, another change to the English language. Decades ago, it would have been normal to ask 'Have you a moment?' Now, you might say 'D’you have a sec?' Similarly, 'How do you do?' has become 'How’s it going?' Not only have the sentences been abbreviated, but new words have been introduced to everyday questions.

    Connected to this is the replacement of certain words with other, more modern versions. It’s pretty noticeable that words like 'shall' and 'ought' are on the way out, but 'will', 'should' and 'can' are doing just fine.

    Other changes can be more subtle. Many verbs can take a compliment with another verb in either the '-ing' form or the 'to' form, for example, 'they liked painting/to paint', 'we tried leaving/to leave', or 'he didn’t bother calling/to call'. Both of these constructions are still used and have been for a long time, but there has been a steady shift over time from the 'to' to the '-ing' compliment.

    What do the changes mean?

    There are many other changes to the English language – what have you noticed? Have these changes affected your teaching or learning methods? 

    Most contemporary linguistic commentators accept that change in language, like change in society, is inevitable. Some think that is regrettable, but others recognize it as a reinvigoration of a language, bringing alternatives that allow subtle differences of expression.

    Linguist, writer and lecturer David Crystal considers whether 'text speak' is undermining the English language. His response to the naysayers who claim it is damaging the English language is to point out that abbreviations have been around for a long time. While some, such as the ones we discussed above, are new, others, such as the use of 'u' for 'you' and the number 8 as a syllable in 'later', have been around for a century or more. Further to this, research shows that there is a correlation between the ability to use abbreviations and the ability to spell. After all, in order to abbreviate, you have to know which letters to abbreviate.

    As with everything, change isn’t necessarily a bad thing and, as the needs of English language users continue to change, so will the language.

    Fancy learning more about English? Check out our post 'How do English phrases travel across countries?'.

  • a pair of hands typing at a laptop
    • English language testing
    • Technology and the future

    Explaining computerized English testing in plain English

    By Pearson 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.

    PTE Academic 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 Pearson’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.

    Pearson 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 Pearson’s Ordinate technology

    The spoken portion of PTE Academic is automatically scored using Pearson’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 Pearson’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?