5 essentials every child needs when you're teaching English

Jeanne Perrett
Two parents sat with their two children, writing in a workbook togeher

The educational choices available to children are evolving rapidly with apps, online courses, digital games, recordings and videos becoming easily accessible. However, amidst this technological advancement, human evolution has not suddenly accelerated, and the primary aim for teachers remains unchanged - helping children make sense of the world and leaving their mark on it.

Here are five essential ways we can achieve that for every child, regardless of their circumstances, whether it's teaching English or fostering everyday learning and education.

5 essentials every child needs when you're teaching English
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1. Attention

Paying attention to what we're doing is something that we have to re-learn. Very young childrenpay great attention to the smallest of things. Washing their hands takes forever as they want tofocus on the soap, doing up shoelaces can become a half-hour activity, or an interesting pebble on theroad can make a quick trip to the shops a very long one.

So, what happens is that we then startteaching children to hurry up. ‘Hurry up, come on, quickly, now - put on your coat NOW!’ are part ofevery parent’s repertoire. And we have to do it because we know what the children don’t - that the bus won’t wait for us, that school starts at a certain time and that people will be kept waiting if we don’thurry up.

Therefore paying attention has to be re-learnt and we need to lead the way. We have to pay attention tothe children, what they are saying and doing, and then we have to resist the temptation to do toomany things at once. And, most importantly, we have to give our children enough time to letthings sink in.

2. Skills

We have so many ways of describing skills now; soft, hard, thinking, critical, communication - the listgoes on. In some ways, these descriptors are useful as they make us more aware of the particularskills of a child, but there is still often a gap between knowing how a child is skilled and how that canbe useful to the child.

Let’s take a classic example; one of the main qualities people often think of asconnected to nursing is a skill for caring, showing compassion and being a good communicator.Yes, that is important, but the main skill needed to be a nurse is dealing competently, practicallyand non-judgmentally with bodily fluids. So, yes, we absolutely need to make sure that we areeducating our children to become skillful in various ways but we also need to think about how thoseskills are transferable.

3. Knowledge

One of the most significant changes of the past 40 years is how we can access information. Gone are thedays of one version of an encyclopedia or whatever your teacher knew; now we have online data,crowdsourced reports, scores of different formats - everything is a click and a swipe away.

So how canwe help with this? First, we have to get children interested enough in a topic to want to find thingsout for themselves. Then we must guide them through what is true and what might not be. Andthen our main job is showing them that they can add to the tree of knowledge. It’s constantly growing,and they can lengthen the branches, help fruit grow, and even dig up the roots and plant the treeelsewhere.

4. Imagination

Thinking creatively, thinking ‘out of the box’ and seeing new possibilities can and must benurtured in our children. We can use our imagination in traditionally creative ways such as writing, artwork, music and drama, but perhaps even more importantly we can use it in ‘unseen’ ways. Wecan unlearn banal responses and consider what we really think; in other words we can ‘think forourselves’. Again this skill is needed more than ever when surrounded by seeminglywise thoughts in social media memes. The nature of memes is that they look definite, as if they aretrue. They might be and they might not. We can decide when we use our critical and creativethinking skills.

We can use imagination to find solutions to problems and we can use it to make our own everyday realitiesmore exciting and life-enhancing. Whatever we do, if we have a positive image of ourselves doingit, the task becomes more meaningful and rewarding. And in a practical sense in the classroom, wecan bring language learning to life. Imagining and play acting the situations where the language we arelearning might be called for; in a restaurant, at an airport or meeting new friends. It can be a great method to teach English to kids, keeping them engaged and actively involved.

5. Support

Support comes in many forms. First concrete support, such as providing a desk and materials for children todo their homework. This is something that teachers need to be aware of; do the children have thatat home? It’s not a question of finance - not everyone can afford a separate room and the space for adesk - but it is a question of realizing that a dedicated, quiet space is needed. For example a clearedkitchen table at certain times of the day. It’s worth bearing this in mind if parents say theirchildren never focus on homework. Look at the practicalities before any attitude issues.

The most important form of support we can give is ‘being there’ for our children. Knowing thatsomeone wants you to do well, is there for you through your mistakes and successes, andempathizes with both. Someone who ‘has your back’ when you need help and is glad for you whenyou do well; that gives our children a powerful sense of security. And we can flourish when we feelsecure.

By implementing these above points, we can equip children with the tools they need to understand the world, pursue their passions and make a positive impact on their lives and others.

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  • Hands typing at a laptop with symbols

    Can computers really mark exams? Benefits of ELT automated assessments

    By app Languages

    Automated assessment, including the use of Artificial Intelligence (AI), is one of the latest education tech solutions. It speeds up exam marking times, removes human biases, and is as accurate and at least as reliable as human examiners. As innovations go, this one is a real game-changer for teachers and students. 

    However, it has understandably been met with many questions and sometimes skepticism in the ELT community – can computers really mark speaking and writing exams accurately? 

    The answer is a resounding yes. Students from all parts of the world already take AI-graded tests.  aԻ Versanttests – for example – provide unbiased, fair and fast automated scoring for speaking and writing exams – irrespective of where the test takers live, or what their accent or gender is. 

    This article will explain the main processes involved in AI automated scoring and make the point that AI technologies are built on the foundations of consistent expert human judgments. So, let’s clear up the confusion around automated scoring and AI and look into how it can help teachers and students alike. 

    AI versus traditional automated scoring

    First of all, let’s distinguish between traditional automated scoring and AI. When we talk about automated scoring, generally, we mean scoring items that are either multiple-choice or cloze items. You may have to reorder sentences, choose from a drop-down list, insert a missing word- that sort of thing. These question types are designed to test particular skills and automated scoring ensures that they can be marked quickly and accurately every time.

    While automatically scored items like these can be used to assess receptive skills such as listening and reading comprehension, they cannot mark the productive skills of writing and speaking. Every student's response in writing and speaking items will be different, so how can computers mark them?

    This is where AI comes in. 

    We hear a lot about how AI is increasingly being used in areas where there is a need to deal with large amounts of unstructured data, effectively and 100% accurately – like in medical diagnostics, for example. In language testing, AI uses specialized computer software to grade written and oral tests. 

    How AI is used to score speaking exams

    The first step is to build an acoustic model for each language that can recognize speech and convert it into waveforms and text. While this technology used to be very unusual, most of our smartphones can do this now. 

    These acoustic models are then trained to score every single prompt or item on a test. We do this by using human expert raters to score the items first, using double marking. They score hundreds of oral responses for each item, and these ‘Standards’ are then used to train the engine. 

    Next, we validate the trained engine by feeding in many more human-marked items, and check that the machine scores are very highly correlated to the human scores. If this doesn’t happen for any item, we remove it, as it must match the standard set by human markers. We expect a correlation of between .95-.99. That means that tests will be marked between 95-99% exactly the same as human-marked samples. 

    This is incredibly high compared to the reliability of human-marked speaking tests. In essence, we use a group of highly expert human raters to train the AI engine, and then their standard is replicated time after time.  

    How AI is used to score writing exams

    Our AI writing scoring uses a technology called . LSA is a natural language processing technique that can analyze and score writing, based on the meaning behind words – and not just their superficial characteristics. 

    Similarly to our speech recognition acoustic models, we first establish a language-specific text recognition model. We feed a large amount of text into the system, and LSA uses artificial intelligence to learn the patterns of how words relate to each other and are used in, for example, the English language. 

    Once the language model has been established, we train the engine to score every written item on a test. As in speaking items, we do this by using human expert raters to score the items first, using double marking. They score many hundreds of written responses for each item, and these ‘Standards’ are then used to train the engine. We then validate the trained engine by feeding in many more human-marked items, and check that the machine scores are very highly correlated to the human scores. 

    The benchmark is always the expert human scores. If our AI system doesn’t closely match the scores given by human markers, we remove the item, as it is essential to match the standard set by human markers.

    AI’s ability to mark multiple traits 

    One of the challenges human markers face in scoring speaking and written items is assessing many traits on a single item. For example, when assessing and scoring speaking, they may need to give separate scores for content, fluency and pronunciation. 

    In written responses, markers may need to score a piece of writing for vocabulary, style and grammar. Effectively, they may need to mark every single item at least three times, maybe more. However, once we have trained the AI systems on every trait score in speaking and writing, they can then mark items on any number of traits instantaneously – and without error. 

    AI’s lack of bias

    A fundamental premise for any test is that no advantage or disadvantage should be given to any candidate. In other words, there should be no positive or negative bias. This can be very difficult to achieve in human-marked speaking and written assessments. In fact, candidates often feel they may have received a different score if someone else had heard them or read their work.

    Our AI systems eradicate the issue of bias. This is done by ensuring our speaking and writing AI systems are trained on an extensive range of human accents and writing types. 

    We don’t want perfect native-speaking accents or writing styles to train our engines. We use representative non-native samples from across the world. When we initially set up our AI systems for speaking and writing scoring, we trialed our items and trained our engines using millions of student responses. We continue to do this now as new items are developed.

    The benefits of AI automated assessment

    There is nothing wrong with hand-marking homework tests and exams. In fact, it is essential for teachers to get to know their students and provide personal feedback and advice. However, manually correcting hundreds of tests, daily or weekly, can be repetitive, time-consuming, not always reliable and takes time away from working alongside students in the classroom. The use of AI in formative and summative assessments can increase assessed practice time for students and reduce the marking load for teachers.

    Language learning takes time, lots of time to progress to high levels of proficiency. The blended use of AI can:

    • address the increasing importance of formative assessmentto drive personalized learning and diagnostic assessment feedback 

    • allow students to practice and get instant feedback inside and outside of allocated teaching time

    • address the issue of teacher workload

    • create a virtuous combination between humans and machines, taking advantage of what humans do best and what machines do best. 

    • provide fair, fast and unbiased summative assessment scores in high-stakes testing.

    We hope this article has answered a few burning questions about how AI is used to assess speaking and writing in our language tests. An interesting quote from Fei-Fei Li, Chief scientist at Google and Stanford Professor describes AI like this:

    “I often tell my students not to be misled by the name ‘artificial intelligence’ — there is nothing artificial about it; A.I. is made by humans, intended to behave [like] humans and, ultimately, to impact human lives and human society.”

    AI in formative and summative assessments will never replace the role of teachers. AI will support teachers, provide endless opportunities for students to improve, and provide a solution to slow, unreliable and often unfair high-stakes assessments.

    Examples of AI assessments in ELT

    At app, we have developed a range of assessments using AI technology.

    Versant

    The Versant tests are a great tool to help establish language proficiency benchmarks in any school, organization or business. They are specifically designed for placement tests to determine the appropriate level for the learner.

    PTE Academic

    The  is aimed at those who need to prove their level of English for a university place, a job or a visa. It uses AI to score tests and results are available within five days.