Motivating your students through assessment

David Booth
David Booth
A group of young people looking at results and papers in a hallway, laughing and smiling

Motivating students can be difficult, especially where exams are concerned. The prospect of preparing learners for them seems like a mammoth task. But assessment can also be a way of encouraging motivation. The clue is in the word ‘test’. Whether externally or internally driven, students wish to test their knowledge and their learning; they want to see how they are developing and progressing.

In this article, David Booth explores what makes students want to push themselves and how you can encourage them with assessment.

What motivates students?

Students are incentivized in different ways, through internal (intrinsic) and external (extrinsic) motivation. Internal motivation is when someone takes an exam for their own satisfaction or interest; without immediate external reward. External motivation is driven by other factors such as the need to graduate or get to a particular level for career advancement. External motivation may also come from others, such as parents and teachers, encouraging students to attain a particular level in a subject or a qualification.

The important thing to recognize is that students should identify their intention for learning English. This will then enable them to determine short- and long-term goals that will drive both internal and external motivation. For example, a student might say; ‘I like learning English because I love reading books about Harry Potter and also English will be useful in my future life so I can meet and learn from people from different countries’. Recognizing and acknowledging reasons for learning with help reinforce the motivations for learning.

How can we promote an environment that is engaging and motivating?

Students’ self-belief is important but teachers also have a significant role to play. Teachers can help give students the confidence to build on their own skills. One way to do this is by promoting a growth mindset. This is the theory that ability and performance can be developed through fostering a positive environment, and is the opposite of a fixed mindset which is the idea that a person’s talents are already fixed from birth.

Developing a growth mindset is important because it encourages us to see new challenges as a positive thing. It involves praising effort rather than just focusing on outcomes.

With all the above in mind, here are five things teachers can do in class to help keep up student motivation levels:

5 ways you can motivate your students

  1. One of the best things that teachers and educators can do to support their students is to help them identify their motivation. Ask them why they are learning English. Is it for themselves? Their parents? Or a job opportunity? This will help teachers and learners decide on the best course of action for learning and also help students find satisfaction within the task, whether in an exam or taking a conversation class.

  2. It’s important to teach courses that are focused on developing communicative ability and knowledge, not just passing a exam. As education evolves, assessment must too, so it’s crucial to foster the practical linguistic skills of your students, not just aim for a good final grade.

  3. Teachers can help students develop their dominant learning styles. Do they learn by writing new words or reading things aloud? In doing so, you and your students can tailor their exam preparation towards how they work best and ensure they feel motivated to learn by themselves.

  4. You can give students the best understanding about the type of tasks they will face. Looking at past papers or using a wealth of exam resources will give them confidence and familiarity when facing any final assessment.

  5. Teachers must talk the talk! We must say the right things to keep our students motivated. This involves talking about what they have done in a positive way. Praising students just for their intelligence is not productive, because that refers to a quality rather than their behavior. Instead, we want to encourage student development through hard work and application.

Here are some growth mindset statements to inspire your students:

  • You worked really hard on that.
  • I’m so proud of your progress.
  • You kept going even when it was hard.
  • You have a tenacious attitude; I’m so proud that you never quit.
  • You really did … well because …

Motivating students with the app English International Certificate (PEIC)

PEIC is designed to help motivate students, offering them the opportunity to identify their strengths, and track improvement and success over time. It is widely used by learners who are looking for a general English test that allows them to build a portfolio of their communicative language ability for travel, to improve their employment prospects or for further education. It’s also valid for life.

Graded progression

PEIC offers a pathway for graded progression from level to level and explicit opportunities to evaluate and accredit learning outcomes at each of the CEFR levels. There are six English proficiency levels, from very low (A1) to very high (C2). There are no hidden surprises, false starts, or sudden jumps in difficulty from one test to the other.

This makes it easy for teachers and students to track progress. Showing students they have progressed in their studies is very motivating and encourages further study.

Assessment of communicative ability

The exams assess learners’ ability to communicate and use English effectively rather than their test-taking skills. The emphasis is on communicative skills; the level of ability that the student has in using the language for practical purposes. This is very motivating both in the short and long term.

A positive testing experience for the student

PEIC delivers a relaxed and enjoyable English testing experience that is a natural continuation of what happens in the classroom. It’s perfect for those educators who are interested in using assessment as a way of building students’ confidence and motivation, as well as raising school standards.

Easily integrated into a general English curriculum

Fitting PEIC around a general English program could not be easier. This is because the types of tasks that students will find in the English exams are similar to those found in most modern communicative course books. Therefore, there is no need to do a specific PEIC course before taking the test.

A wealth of learning resources

There are lots of resources out there offering something for everyone, including test guides for each level, test tutorials, practice tests, test tips and many more, so students will feel supported throughout the preparation process.

Learn more about the app English International Certificate (PEIC)

More blogs from app

  • Hands typing at a laptop with symbols

    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.