"What’s the most effective way to learn English?" It’s a question that has perplexed linguists for years. I see room for plenty of innovation in where it all starts - 'Ed'.
In the seventies, reel to reel tape recorders were the latest technology. They enabled us school kids in the north of England to hear French sentences spoken by a first language speaker, rather than by an English teacher.
We looked at pictures projected onto the wall, listened to the sentences and repeated them over and over again. Not only did the audio-lingual methodology use the latest technology – but the pedagogy was also based on the 'sound' learning science of behaviorism. In a nutshell: if you repeat something often enough, it becomes automatic.
This 'drill and kill' approach to language learning has since been discredited and replaced by the communicative approach. Nevertheless, it lasted long enough to inform all of my secondary school French education.
I was considered a linguist and a grade A student. I went on to study for a French degree. But when I finally landed in France, I was unable to participate in even the most basic conversations. How effective had my language learning been?
So what is the takeaway? Publishers, entrepreneurs and edtech companies must think carefully about their products and courses. What problems are they trying to address? What outcomes are they trying to target?
It’s not enough to be innovative or novel. The shiny new toy will only engage learners for a short time if they don’t feel like they are making progress. We need to measure the impact on actual learning.
However, it is great to see so many exciting things happening in the world of edtech. For the first time, I believe we are on the cusp of delivering truly personalized learning journeys to all students –not just those who can afford individual tuition.
Many of us are developing AI that makes the learning journey adaptive, that monitors learner progress and surfaces that progress to the learner, that offers feedback on pronunciation, grammar, vocabulary, speaking and writing.
We know that feedback has a significant impact on learning. We also know that it is challenging to give feedback on spontaneous language. But this is where AI is heading and soon the vision of learners interacting with virtual tutors on various topics will be a reality.
Will technology replace teachers? Unlikely. Language is a social construct. We learn languages to communicate with others – and an increasing number of language apps are partnering with online tutors and creating language communities to address this need for human interaction. But technology can supplement what the teacher does – and will be able to do so more meaningfully thanks to AI.
It can extend language learning outside of the classroom, driving faster progress. It is available 24/7.It provides learners with a safe space to practice and fail – a way to build confidence. It does not replace the teacher. Instead, it enables the teacher to be replaced in the classroom, focusing on the communicative elements of language learning that are still a challenge for apps.
Read our blog post '6 easy ways to learn English'.
Companies constantly seek methods to optimize workforce productivity and effectiveness. A powerful approach to achieving this goal is through strategic workforce planning bolstered by English language testing. This tactic not only identifies and addresses skills gaps but also reduces attrition and strengthens your workforce for both short-term and long-term success.
With language learning, assessing both the quality and the quantity of language use is crucial for accurate proficiency evaluation. While evaluating quantity (for example the number of words written or the duration of spoken production) can provide insights into a learner's fluency and engagement in a task, it doesn’t show a full picture of a learner’s language competence. For this, they would also need to be evaluated on the quality of what they produce (such as the appropriateness, accuracy and complexity of language use). The quality also considers factors such as grammatical accuracy, lexical choice, coherence and the ability to convey meaning effectively.
In order to measure the quality of different language skills, you can use the Global Scale of English (GSE) assessment frameworks.
Developed in collaboration with assessment experts, the GSE Assessment Frameworks are intended to be used alongside the GSE Learning Objectives to help you assess the proficiency of your learners.
There are two GSE Assessment Frameworks: one for adults and one for young learners.
This example is from the Adult Assessment Framework for speaking.
As you can see, there are sub-skills within speaking (and for the other three main overarching skills – writing, listening and reading). Within speaking, these are production and fluency, spoken interaction, language range and accuracy.
The GSE range (and corresponding CEFR level) is shown at the top of each column, and there are descriptors that students should ideally demonstrate at that level.
However, it is important to note that students may sit across different ranges, depending on the sub-skill. For example, your student may show evidence of GSE 43-50 production and fluency and spoken interaction, but they may need to improve their language range and accuracy, and therefore sit in a range of GSE 36-42 for these sub-skills.
Teachers shape every aspect of our learning experience, especially when it comes to language learning. Great teachers give learners not only the skills but the confidence to go out in the world, start speaking up and discovering new opportunities.
We’re celebrating those exceptional educators with the Pearson English Teacher Awards 2024.
With five different categories and a Gold, Silver and Bronze winner in each, there are 15 chances to take home thousands of pounds worth of top prizes for the winning teachers and their schools.
Find out more about who can enter and the different categories in this article.
