Motivating children to read English books with fun activities

Nicola Schofield
A child sat on a bed reading a book

Why is reading important?

Apart from being agreat hobbyand funactivity, it can help children improve in many areas of their lives through developingkey transferrable skills. Reading in their native language and English can bring a whole range of benefits. To engage everyone, they mustunderstand the benefits themselves.

Ask your students why it's important and create a mind map of ideas. You may alsowish to use some of the points below to start the conversation. Having a common idea that everyone agrees on can help build motivation and engagement in the classroom.

Improveslanguage skills

Regular reading develops children’s linguistic skills – it helps them learn goodsentence structure, grammar, vocabulary andimprovesspelling in their own language and in the English language too. Reading aloudalso strengthensknowledge of phonics and improvespronunciationand articulation.

Improves memory

It can help to develop knowledge of phonics and vocabularyrecall and improve focus and concentration– all necessary skills when learning a language.

Cultivates curiosity

Books help kids’ imaginations to growandencourage them to bemore open-minded. Theyhelp us to learn about other cultures and encourage us to think more creatively. Through subtle messages,readingbuildsanawareness of the world in which we live andenableschildren to formtheir ownopinionsand ask questions.

Creates empathy

Stories help to develop children’s emotional intelligenceandempathy towardsothers. Exploringtopics and characters allows them to learn aboutreal-world situationsand think about how they would feelinsomebody else’s shoes. It encouragesrespect for others’ feelingsas well asothercultures.

Reduces stress

It is a great way tocalm the mind and help us relax and destress. Children can learn to use it as a helpful tool in their day-to-day lives.

Develops key life skills

Children develop their confidence, communication, resilience, patience, social skills and connectwith the wider world, cultureand communities.

So how do we motivate our young learners(even our most reluctant readers)to develop a passion for reading?

Itmustbe fun,purposeful and relevant

Well-known adaptationscan remove barriers, support and encourage students’ imagination,andsparka genuine interest. Theygive purpose and relevance to the students as most students have watched a movieat some point in their lives and most students have afavorite movieor character.

Let your young learners choose

There are plenty of English Readers to choose from– if the students can choose their own readers, they will likely be more motivated and focused. Choice gives the students power and makes it more relevant to them. Ask your students to choose theirfavorite movieandhave a vote as a class. Get to know your students, find out what interests them, and base yourbook choice around this.

Rewards

To motivate students, theymust know that they aremaking progress. Reward students for their achievements – for example,createa vocabulary wall ora class book chart and give rewardslikeastickerora postcardto takehome.

Here are five practical, fun ideas on how to further motivate your learners and engage them in reading both in and outside the classroom.

1. Make a bookmark

Making abookmarkis a fun way to get children into the habit of reading more regularly. If they have their own bookmark, then they are more likelyto want to pick up a book and read it. In the activity, the children can make their ownbookmarkbased on theirfavoritebook as well asdraw a picture of theirfavoritescene.

There’s space for them to write about theirfavoritecharacter and any new words they have learned. Thebookmarkthen becomes not only a way tofind your page butitcanalsohelp kids engage in English conversations about the stories and make them feel like they are making progress.

2. Create a mind map

A mindmap is an activity that helps children to understand andanalyzewhat is happening in the book they have just read. Itis a great way to show their understanding of the story clearly. It could also be usedfor doinga short presentation on the book orfor helping towrite a short paragraph about it.

3. Write your own short story

This activity is creative and asks the children to choose theirfavoritereader. They then use their imagination to write a short story about what happens next. They can place charactersin a completely different story of their ownand send them off on a new, exciting adventureor decide what happens next in the original story.

Writing stories like this helps young people to explore their ideas, express their creativity and reinforcesentence structure, vocabulary and grammar at the same time.

4. Create a reading passport

Motivate childrenby giving them clear and achievable goals. Asking them to fill in a passport as they read a new book is a fun way to encourage them.

Each book allows each child to enter a different world andonce they have visited each place, they complete a new page in the passport and receive a stamp.You could even make this a class competition to see who can fill in the passport pages the quickest.

5. Create a character profile

Ask the children to choose theirfavoritecharacter and produce amovieposteron that person. Ask the students to draw a picture andwritekey details about the character, such as name, age, physical appearance and interests. This activity motivates the students as seeing theirfavoritecharacter in a different context can be entertaining and engaging.

With these simple activities, you can make reading a more enjoyable experience, as well as helping with learning English for kids and developing their overall reading skills.

Learn about our readers for young learners

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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. 

    app English International Certificate (PEIC)

    app English International Certificate (PEIC) also uses automated assessment technology. With a two-hour test available on-demand to take at home or at school (or at a secure test center). Using a combination of advanced speech recognition and exam grading technology and the expertise of professional ELT exam markers worldwide, our patented software can measure English language ability.