After the summer break, the Language Teaching Takeoff Webinar Series welcomed back award-winning educator and edtech specialist Nik Peachey to explore how language teachers can identify teachable grammar in videos and texts, assess its suitability for different learner levels and make informed teaching decisions with support from purpose-built AI.
Identify Teachable Grammar and Assess CEFR Suitability with TeacherMatic
London, September 2026 – In ‘AI Grammar Analysis for Better Teaching Decisions’, Nik Peachey introduced the new ‘Grammar analysis’ generator in the TeacherMatic Language Teaching Edition. He demonstrated how it analyses texts and video transcripts, providing detailed grammar profiles and teaching recommendations to empower educators to select appropriate materials and plan effective lessons.
Moderated by Alba Melián, Marketing and Sales Operations Consultant at Avallain, the session explored how teachers can assess materials against the CEFR, refine the analysis for different lesson aims and use their professional judgement to decide which recommendations to take into the classroom.
Purpose-Built AI for Language Teaching
With over 30 years of experience developing innovative teaching materials and products, Nik has been a key contributor to the TeacherMatic Language Teaching Edition, reviewing generators and bringing his pedagogical perspective to their development.
That experience shapes what he values about TeacherMatic. Rather than asking teachers to master complex prompting, its generators are designed around specific educational tasks and informed by language teaching methodologies and CEFR considerations.
For Nik, one of the biggest advantages is how quickly teachers can get started. Each generator has built-in prompts, so educators can enter the information relevant to their task and receive high-quality outputs that they can further review, refine and adapt for their learners and lesson aims. They can also browse generators by teaching needs, such as grammar or speaking, and favourite those they return to most often.
Nik also highlighted how this extends beyond individual teachers. Providing licences across teaching teams means teachers, trainers and school leaders can work with the same toolkit and share resources across teams, supporting greater consistency in how AI is used across an institution.
Identifying Teachable Grammar in Sourced Video Content
Videos can be a valuable resource for language teaching, exposing learners to authentic language in context. However, identifying which grammar points to focus on and how best to teach them can take considerable preparation time.
The new ‘Grammar analysis’ generator, currently in beta phase, analyses the grammar in texts and video transcripts and identifies opportunities for teaching and learning.
To demonstrate this, Nik selected a YouTube video transcript and set the target learner level to B1. With these simple inputs, the generator produced a detailed analysis, beginning with an overview of the material’s suitability for the selected CEFR level, its potential teaching value and an estimated lesson duration.
The analysis indicated that the video was suitable for B1 learners and provided a grammar profile that identified the key structures in the transcript. This included grammatical forms, their frequency and teaching priority, alongside explanations of why particular features might be worth focusing on.
From Grammar Analysis to Teaching Decisions
The real value of the analysis comes in what teachers can do with it next. The generator goes beyond identifying grammar to highlight broader language features, such as noun-heavy constructions and long sentences, and indicates whether these are worth teaching explicitly or better treated as incidental language exposure.
From there, the output moves into practical classroom application. It suggests learning outcomes and teaching approaches, including guided noticing, transformation activities and debate, with an explanation of why each approach could work for the material and learner level.
It also flags potential difficulties learners may encounter and suggests ways to address them. This gives teachers a clearer basis for anticipating challenges, prioritising grammar points and shaping activities around their learners’ goals.
Teachers can also access the full transcript in a clear, accessible format. Together, the grammar profile, teaching recommendations and learner-focused guidance turn the analysis into a practical starting point for lesson planning.
Refining the Analysis for Different Lesson Aims
The analysis does not have to be the end point. Teachers can download the output or use the ‘Refine’ feature to shift the focus as their lesson plans develop.
Nik illustrated this by entering a simple instruction to tailor the analysis towards a speaking-focused lesson. Rather than starting again, teachers can build on the initial output and steer the recommendations towards a different classroom objective.
This flexibility is one of the advantages Nik highlighted throughout the session. TeacherMatic’s purpose-built generators can produce detailed analysis and teaching suggestions with relatively little input, reducing the need for extensive prompting and giving teachers more time to focus on reviewing, adapting and applying the recommendations to their learners and lesson goals.
Assessing Text Suitability for A2 Learners
Moving from video to text, Nik demonstrated how the ‘Grammar analysis’ generator can support teachers as they assess the suitability of literary materials for their learners.
Using an excerpt from ‘The Wizard of Oz’, he selected A2 as the target CEFR level and generated an analysis of the text.
The generator identified some simple descriptive language appropriate for A2 learners but also highlighted longer, more complex sentences containing considerable detail. It suggested that the excerpt was better suited to higher-level A2 learners or as supporting material, rather than as the main text for an A2 grammar lesson without adaptation.
As with the video example, the analysis broke down the grammatical structures and offered recommendations for teaching approaches and lesson flow. This helped identify both the text’s potential value and the challenges teachers might need to address before using it in the classroom.
Adapting Materials to Meet Learner Needs
Rather than selecting a different text, Nik demonstrated how teachers could use TeacherMatic’s ‘Adapt your Content’ generator to make the original excerpt more suitable for their learners.
By entering the text, selecting the target CEFR level and optionally providing a learner profile, teachers can adapt existing materials to better meet their students’ needs.
Nik then returned to the ‘Grammar analysis’ generator and analysed the adapted excerpt. This time, the analysis indicated that the revised text was more appropriate for A2 learners.
The demonstration showed how teachers can use different generators together to assess and adapt materials, then review the results against their original teaching objectives. This offers a practical approach for educators who want to use a particular text but have limited time to find alternative resources or adapt the material themselves.
Supporting Professional Judgement with AI
Throughout the session, Nik emphasised that AI should support teachers’ expertise rather than replace it.
Addressing concerns about whether AI could diminish teachers’ professional skills, he stressed that educators still provide the initial ideas, select the source materials and make the final pedagogical decisions.
The two demonstrations illustrated this approach in practice. Teachers can use AI-generated insights to identify teaching opportunities, recognise potential difficulties and explore alternative approaches. However, their knowledge of their learners, teaching context and lesson objectives remains indispensable.
By supporting the analysis and adaptation of teaching materials, TeacherMatic can help educators reduce preparation time while retaining control over how those materials are finally used in the classroom.
Explore the TeacherMatic Language Teaching Edition
The TeacherMatic Language Teaching Edition is a purpose-built AI toolkit designed to support language educators in creating high-quality, CEFR-aligned teaching materials tailored to their learners’ needs and goals.
From identifying teachable grammar in authentic texts and video transcripts to adapting materials for different learner levels, its generators enable teachers to make informed decisions while reducing preparation time. With pedagogically informed AI tools for lesson planning, resource creation, assessment, feedback and more, educators can dedicate more time to teaching and supporting their learners, with the reassurance that they are using safe and ethical AI.
Next in the Webinar Series
Join Joanna Szoke, freelance teacher trainer and AI in education specialist, to explore how self-correction, peer feedback and teacher judgement can work together to make writing assessment more effective. She will demonstrate how the ‘Model Answer’ generator can support learners in analysing model texts, reviewing their own writing and making improvements before the teacher’s final review. Plus, see how the ‘Advanced Feedback’ generator can support the final stage of teacher feedback.
Effective AI Feedback: Self-Correction, Peer Review and Teacher Judgement
🗓 Thursday, 15th October
🕛 12:00 – 12:30 BST (13:00 – 13:30 CEST)
Discover practical approaches to AI-supported writing assessment that encourage learner autonomy while keeping teachers’ expertise at the centre of the feedback process.
About Avallain
For more than two decades, Avallain has enabled publishers, institutions and educators to create and deliver world-class digital education products and programmes. Our award-winning solutions include Avallain Author, an AI-powered authoring tool, Avallain Magnet, a peerless LMS with integrated AI, and TeacherMatic, a ready-to-use AI toolkit created for and refined by educators.
Our technology meets the highest standards with accessibility and human-centred design at its core. Through Avallain Intelligence, our framework for the responsible use of AI in education, we empower our clients to unlock AI’s full potential, applied ethically and safely. Avallain is ISO/IEC 27001:2022 and SOC 2 Type 2 certified and a participant in the United Nations Global Compact.
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