AI in Language Education · Principle III: Purposeful
Guideline 5: Enhance sound language
teaching pedagogy
teaching pedagogy
Effective AI use is a function of quality, not quantity. AI should create rich, inclusive, and engaging learning experiences — and improve outcomes, not just efficiency.
1
How AI enhances classroom teaching
Personalised learning pathways
Interactive and personalised AI activities increase learner engagement. AI can simulate communication, offer relevant texts, and generate context-specific language examples.
Differentiation & inclusion
AI supports differentiation of goals, content, and tasks. Speech-to-text assists learners with hearing difficulties; text-to-speech aids pronunciation and listening comprehension.
Multimodal learning
AI can generate visuals, graphics, videos, interactive exercises, and multimedia resources, enabling richer, multi-channel learning experiences across proficiency levels.
Collaborative teacher practice
Creating and sharing banks of effective prompts, and exchanging experiences with colleagues, amplifies teacher effectiveness and builds collective expertise.
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Rethinking assessment with AI
Shift focus to process
Traditional formats like essays can no longer be unproblematically treated as evidence of learning. AI challenges teachers to shift from artefacts of knowledge to communicative competence and process.
Personalised feedback
AI can provide personalised, criteria-based feedback and feedforward, structured peer and group assessment, and mitigate some human assessor biases (fatigue, timing, error reactions).
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ICAP engagement framework (Chi & Wylie, 2014)
Four levels of cognitive engagement — aim for Interactive
Passive
Receiving information with minimal learner input
Active
Manipulating or doing something with the material
Constructive
Generating new knowledge beyond given information
Interactive
Authentic communication, meaning negotiation with others
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The IDEA prompting framework (Park & Choo, 2024)
Four steps to effective prompt design
I
Include essential PARTS
Person (AI role) · Aim (task) · Recipient (audience) · Theme (context, constraints) · Structure (output format)
D
Develop with CLEAR prompts
Concise · Logical · Explicit · Adaptive · Restrictive / domain-specific
E
Evaluate & REFINE
Rephrase keywords · Experiment with context · Use a feedback loop · Iterate and verify accuracy
A
Apply with accountability
Use a defined accountability checklist to ensure AI use improves the learning experience consistently
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Competence checklist
COMPETENCE 19
Personalise & differentiate teaching
- Which elements am I differentiating with AI right now?
- How do I tailor materials without losing curricular alignment?
COMPETENCE 20
Personalise & differentiate learning
- How can AI address diverse needs and proficiency levels in my class?
- How can adaptive feedback increase learner engagement?
COMPETENCE 21
Apply effective prompting strategies
- How do I plan, refine and evaluate prompts using the IDEA framework?
- How can I collaborate with colleagues to share effective prompts?
COMPETENCE 22
Integrate AI ethically into assessment
- When using AI for feedback, how do I ensure transparency and fairness?
- How can AI feedforward combine with peer/teacher commentary?
COMPETENCE 23
Critically evaluate AI-supported teaching & assessment outcomes
- How do I verify the pedagogical appropriateness, cultural relevance and inclusivity of AI-generated materials or feedback?
- What evidence do I gather to assess whether AI has genuinely enhanced learner engagement and progress?
