Preparing AI-enhanced, Corpus-based Teaching Materials and a Lesson Plan
Hello, welcome back everyone. Today I am going to talk about my new assignment. I was assigned to a group of three: myself, Adem Bozkurt, and Ekrem Başkara. Our topic is preparing AI-enhanced, corpus-based teaching materials and a lesson plan based on the ASSURE model. Now, let me briefly explain the process to you.
As pre-teachers, we are constantly looking for innovative
ways to make grammar memorable and relevant. I recently designed a lesson plan
and corresponding materials focused on teaching obligation modal verbs (must,
have to, mustn't, don't have to) to high school English as a Foreign Language
(EFL) students at the B1 level. The lesson follows the ASSURE model and is
heavily integrated with technology, specifically AI tools and corpus analysis.
The core task, AI-Enhanced Corpus-Based Teaching Material:
Obligations at School, is a 45-minute activity for learners aged 14-15. It
moves students from a "Test Your Knowledge" warm-up to an
"Inductive discovery" process using the corpus analysis tool SKELL
(Skell/GenAI tools).
The students' main work, done in pairs, involves:
-Hands-on Corpus Search & Analysis (pair-work): Using
SKELL to search for the common usage patterns of "must" and
"have to", and later "mustn't" and "don't have
to". They analyze the example sentences to discover the rules inductively.
-Task B: AI-Enhanced Role Play (pair-work): Students use an
AI chatbot (like Gemini) to generate a short dialogue about school rules using
the target grammar. They then practice editing and improving the AI's output.
Reflection on the Design Process
The design process was driven by the Constructivist Approach
and Student-centered learning. By utilizing the SKELL corpus tool, the material
shifts the focus from the teacher lecturing rules to students actively
discovering grammar distinctions (e.g., internal vs. external obligation) based
on real-world language examples. The inclusion of the AI-Enhanced Role Play
provides a high-value, creative output task, teaching students to use AI
responsibly for ideation and editing. The aim was to create a highly engaging,
technology-rich, and practical lesson.
Implementing this material in a real classroom might face a
few issues:
The most significant
potential problem is ensuring that every pair has stable Wi-Fi access and a
fully functional mobile device to use the corpus and AI tools. Technical issues
The multiple steps—corpus search, inductive table
completion, and AI role-play—are ambitious for a 45-minute lesson. The lesson
might require careful pacing, and some activities might need to be shifted to
homework.
While targeted at B1,
some learners may struggle with the complex, nuanced task of analyzing corpus
sentences to inductively derive the rules. Differentiating instruction or
providing more scaffolding for the inductive task might be necessary.
Click here
to see the material and the lesson plan
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