Seven ways to develop independent learners

Richard Cleeve
A woman sat outdoors reading a booklet

What is independent learning?

Students who are actively involved in deciding what and how they learn are typically more engaged and motivated.

That’s not surprising, because independent learners are extremely focused on their personal learning objectives.

, independent learning is “a process, a method and a philosophy of education whereby a learner acquires knowledge by his or her own efforts and develops the ability for inquiry and critical evaluation."

Seven ways to develop independent learners
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In the context of language learning, independent learners can recognize their learning needs, locate relevant information about language and develop the required language skills on their own or with other learners.

There are many advantages of encouraging independent learning among your students:

  • Increased recognition of strengths, weaknesses and progress
  • Higher levels of confidence
  • More motivation
  • Better management of learning
  • Improved performance

Not only will these benefits help your students while learning English, but they’ll also benefit them at school, university and even in their day-to-day lives.

How can I help my students to become independent learners?

Some of your students may already be independent learners; however, most will need your support to become more autonomous.

Here are seven ways you can help:

Make learning goals clear

Sharing learning goals with your class helps students to see what they’re aiming for and they’ll also be able to assess afterwards whether they’ve achieved it or not. This can be done at the beginning of a lesson or series of lessons or even as a lesson progresses.

Although many teachers set the goals themselves, if you want to create a really independent learning experience, elicit them directly from the students. A simple question could be, “What do you think this activity is helping you get better at?”

Personalize learning goals

Another thing to consider is setting different goals for different learners, depending on their strengths and weaknesses. This will be much easier if the students are setting their own goals. For example, when doing a task focused on the speaking paper in an exam course, one student’s objective might be to give extended answers, while another might want to use more discourse markers.

Focus on the process as well as the goal

Once your students have set their goals, they need to start thinking about how they’ll reach them.

One way to help them get on track is to provide them with a set of ‘success criteria’, which acts like a roadmap for the different tasks they need to complete. If your students understand what they need to do to be successful, they’ll progress much faster and be more motivated when they see how far they’ve come.

If one of your student’s goals is to improve their grammatical accuracy in the C1 Advanced speaking exam, for example, you could give them a rubric (like the one below) which they can use to assess their own performance.

Keep your assessment categories as positive as possible (for example, 'solid', 'good' and 'acing it') and link it to the official exam criteria where possible.

Provide opportunities to reflect on learning

Students should constantly be encouraged to reflect on their performance and whether they’ve met their learning goals. This will help them become more aware of their strengths, weaknesses and the progress they’re making. Recognition of progress will help build confidence and motivation.

Opportunities for assessment and reflection don’t need to take a lot of time. Spending two minutes at the end of the class asking students questions like ‘What can you do better now than at the start of the lesson?’ will help learners develop critical meta-cognitive skills.

Offer feedback on learning

Teacher feedback also helps students develop the skills needed to become more independent. Offer feedback in a supportive and sensitive manner, making positive observations alongside any criticism.

Effective feedback should allow learners to understand where they currently are in their learning, where they’re heading and how they’ll get there.

Encourage peer feedback

Feedback shouldn’t only come from the teacher. You should also get students to evaluate each other’s progress during and after an activity. Peer feedback is not only advantageous to the student receiving it, but there are also many reflective benefits of giving feedback to someone else.

Transfer learning decisions to students

It’s impossible for students to become independent learners if you make all the decisions for them. Giving students the opportunity to make decisions about their learning will give them greater autonomy. However, this should be a gradual process and not all students will be ready to take 100% control from the outset.

Start with small decisions first and ask questions such as:

  • Do you want to do the task alone or in pairs?
  • Would you like to use a set of useful phrases for support when doing the speaking task?
  • Would you prefer to discuss questions about this topic or another?

This devolvement of responsibility built up over time will help learners to become more independent.

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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.

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