Mindfulness for teachers: managing expectations over the holidays

Amy Malloy
Amy Malloy
A teacher holding books in a classroom

Mindfulness and your routine

In the run-up to the holidays, it is common to feel like your routine has completely broken down, especially when you’re not giving classes or working at school. The holidays also often bring with them lots of people, family, and excitement. That sometimes means we also experience fluctuating emotions, stress and the feeling that everything should be perfect.

On top of this, shops and social media are filled with advertising – and there’s definitely more ‘stuff’ to buy. In addition, we can see messages telling us we need to feel ‘merry’ and ‘bright’ wherever we look. Even the popular greeting, ‘Merry Christmas’, can sometimes feel less of a greeting and more of an instruction.

Sometimes it feels like the people around us expect us to always feel happy and joyful over the holiday season. This is fine if we do feel merry, but we will always have ups and downs. If you don’t feel happy, for whatever reason, it can feel even harder than it might at times where there is less expectation all around us.

Overcoming the challenge

Finding a way to introduce mindfulness into the holiday season can be a wonderful way for us to understand our emotions at this time of year. It will help you think about your expectations and let you find a moment to pause to accept whatever the reality actually is.

Here are some quick and easy ways to find some ‘you’ time and keep checking in with how you’re feeling. These are also tips you can try with children in the classroom and for yourself at home to keep yourself on track.

3-minute body scan

Find a quiet moment. This may be in the few minutes after you wake up or go to bed, during break time, or even at the start of a lesson.

  • Notice the contact of your feet with the floor. Notice the sounds around you in the room.
  • Take three deep breaths and notice how they feel.
  • Scan down the body in your mind from the top of your head all the way down to your toes. Observe what you notice about your body with an air of curiosity – look for any tension, discomfort or comfort. Also, notice if there are any expectations you have of that day or moment. See if you can simply notice them and set them aside. This curiosity helps us stay detached from what we notice so we can just observe.
  • Take three more deep breaths, and carry on.

2-minute notebook

Writing something down can be a wonderfully mindful exercise. Have a stack of post-its or a little notebook on your desk or bedside table. You could encourage your students to do the same.

1. Pick a point in your day. It could be at the start of each day, the start of each lesson, or just before bed. Each day, at that time, take a moment to write down three:

  • good things that have happened in your day
  • things that felt challenging
  • things you feel grateful and thankful for.

2. Review your notes every now and again during the holiday period. This will give you a sense of your shifts of mood and energy that might have occurred.

Noticing something you feel grateful for has been shown to .

1-minute cupboard pause

When things feel over-stimulating, find a quiet space just for a minute. Even if it’s in a cupboard!

STOP: notice the contact of your feet with the floor.
BREATHE: take ten deep breaths, breathing in for a count of four and out for a count of six.
WATCH: watch each breath coming and going from the nose or chest or belly. Observe what your thoughts and feelings are doing. Allow them to sit without needing to respond.

Then head back into the area you were in.

I hope these tips help you to navigate the festive season without expectation and with curiosity for what each moment holds along the way.

Remember that the holiday days you celebrate are really just normal days. It’s simply that expectations have changed, and what’s more, everyone’s expectations will be different.

Simply taking time to notice this can make a massive difference to the pressure we put on ourselves. Releasing this pressure can even lead to more enjoyment overall – so why don’t you try it and see?

Read our posts 'Understanding and managing technostress' and 'How to reduce anxiety using to-do lists'.

Check out our GSE teaching resources

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    Can computers really mark exams? Benefits of ELT automated assessments

    Por 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.