Friday, May 29, 2026
IMP Training & Evaluation Hub for Foreign Teachers
IMP Evaluation & Learning Hub
Mastering the 7 Dimensions of Thai Expert-Approved Lesson Planning
Target Audience:
Foreign Teachers (NES/NNES) in Thailand
Sawatdee khrap, Teacher!
In Thailand, your Instructional Management Plan (IMP) or Lesson Plan is evaluated stringently by academic committees and external experts. This tool breaks down the official 7 quantitative and qualitative dimensions so you can plan perfectly aligned lessons.
The 7-Dimension Master Evaluation Matrix
Derived directly from quantitative benchmarks (Highly Suitable mean scores of 4.33 - 4.67) used by Thai academic evaluators.
| # | Evaluation Dimension | Quality Rubric (Criteria for "Excellent / Highest Level") | Thai Peer Term |
|---|---|---|---|
| 1 |
Plan Components
Completeness & Structure
|
All core sections are strictly present. Structural sections must have explicit interrelations, showing clear structural continuity from the header down to the assessment tools. | องค์ประกอบของแผนฯ |
| 2 |
Core Concepts
Knowledge Core & Real-life Application
|
Features an unmistakable, explicit core of knowledge (the "Big Idea"). Must explicitly map out how the student transfers this knowledge directly into real-life scenarios. | สาระสำคัญ |
| 3 |
Indicators & Objectives
KPA Alignment & Measurability
|
Must perfectly target all three domains: Knowledge (K), Skills/Processes (P), and Attributes/Mindset (A). All behavioral verbs used must be clearly observable and highly measurable. | ตัวชี้วัดและจุดประสงค์ |
| 4 |
Learning Content
Accuracy & Scaffolding
|
Content is highly accurate, updated for modern contexts, explicitly mapped to Ministry indicators, and systematically scaffolded strictly from easy to hard. | สาระการเรียนรู้ |
| 5 |
Learning Activities
Systematic Active Learning
|
Deploys step-by-step active learning modules (e.g., 5E, Active Learning models). Activities must directly systematically drive students to discover the defined learning concepts. | กิจกรรมการเรียนรู้ |
| 6 |
Media & Resources
Self-Directed & Authentic Material
|
Integrates highly contextual, diversified real-world objects or media. Design must enable self-directed peer learning and feature a documented safety contingency plan. | สื่อและแหล่งเรียนรู้ |
| 7 |
Measurement & Evaluation
Rubrics & Aligned Assessment
|
Assessment tools match target objectives 1-to-1. Must provide explicitly detailed analytical rubrics so that students can independently use them for actionable self-improvement. | การวัดและประเมินผล |
IMP Verification Checklist App
IMP Verification Checklist (เครื่องมือตรวจแผนการจัดการเรียนรู้)
💡 กรอบแนวคิดการออกแบบแผนด้วย ACA Model (Designing via the ACA Model)
Aims [เป้าหมาย]: Verify that standard indicators and objectives align clearly. (ตรวจวัตถุประสงค์ให้ตรงตัวชี้วัด)Conventions [ข้อกำหนด]: Structure the template accurately matching standard duration constraints. (ทำโครงสร้างตามระเบียบโรงเรียนและเวลา)
Audiences [ผู้เรียน]: Respond directly to the cross-cultural needs of 21st-century learners. (ออกแบบกิจกรรมให้ตอบโจทย์ธรรมชาติผู้เรียน)
IMP Web App V02
Instruction Management Plan (IMP Scaffolding Structure)
IMP App 2026 V1
IMP App
Instructional Management Plan Generator (รูปแบบการเขียนแผนการจัดการเรียนรู้แบบบรรยาย)
Wednesday, May 27, 2026
Integrating AI into instructional management plans for Grade 9 students in Thailand
Integrating AI into instructional management plans for Grade 9 students in Thailand is not just a good idea—it is a critical necessity. At 14 or 15 years old, these students are already interacting with algorithms daily on social media, and many are quietly using generative AI to complete their assignments. Leaving AI out of formal lesson plans creates a "hidden curriculum" where students use these tools in secret, often leading to plagiarism, a dependency on shortcuts, and a decline in critical thinking.
The challenge is not how to keep AI out of the classroom, but how to weave it into your instructional design so that it enhances human intelligence rather than replacing it. By moving away from a traditional "teacher-as-transmitter" approach and embracing a collaborative model, you can teach students to use AI responsibly while keeping them deeply grounded in the real world.
1. Framing AI Integration: The Centaur Model
To design effective lesson plans, it helps to introduce students to the Centaur Model of communication and work. A centaur is a mythical creature that is half-human and half-horse. In education, a "Centaur Student" is one who combines human critical thinking, empathy, and cultural awareness with the speed and data-processing power of AI.
The goal of your instructional plan should be to teach students when to rely on their own minds and when to collaborate with technology. To achieve this, assignments should be structured so that AI cannot do all the work. For instance, tasks can require students to apply the ACA Model (Aims, Conventions, and Audiences) to analyze how an AI-generated text must be adapted to fit a real-world local community.
2. Practical Strategies for Lesson Design
When drafting lesson plans for Grade 9 students, you can use specific strategies to encourage responsible AI use and encourage real-world engagement:
-
Shift from Product to Process Assessment
If a lesson plan only grades the final product (like a written essay), students will face a strong temptation to copy and paste from an AI tool. Instead, design your assessment to focus on the step-by-step process of learning.
The Strategy: Require students to submit their initial handwritten brain-mapping notes, the exact prompts they used to consult the AI, a critique of the AI's mistakes, and their final edited draft.
The Lesson: This teaches students that AI provides a starting point, but human judgment is required to shape the final outcome. -
Address the "Same Verb, Different Levels" Challenge
As an educator, you know that an action verb like "Describe" can sit at a basic level of understanding or rise to a high level of critical analysis depending on the prompt. Show students how to use AI to climb to those higher levels.
The Strategy: Have students ask an AI to describe a basic concept (e.g., "Describe the lifecycle of a mangrove forest"). Then, challenge the students to analyze or evaluate that information themselves by comparing the AI's response with what they observe in their own local community. -
Design "Real-World First" Learning Activities
To prevent students from escaping into a purely digital environment, structure your lessons so that the core data collection must happen offline, in the physical world.
The Strategy: Have students step away from their screens to conduct interviews with family members, observe local environmental issues, or practice silent reflection in a local space. Once they gather this real-world information, they can use AI as a technical assistant to help them organize their field notes or translate their findings into English.
3. Teaching Digital Balance: Silence and Solitude
A major concern with introducing AI to 15-year-olds is the risk of digital burnout and a shortened attention span. Responsible AI use must include learning when to turn the technology off.
You can intentionally build moments of silence and solitude directly into your instructional management plans. Before students open an AI tool to brainstorm a project, dedicate the first ten minutes of class to quiet, independent reflection without any devices. Cultivating this internal stability helps students develop their own ideas first, ensuring they approach AI with a clear purpose rather than letting a machine think for them.
4. An Instructional Management Matrix for Grade 9
The table below shows how you can align AI assistance with real-world tasks across the three domains of learning:
| Learning Domain | Classroom Focus | Responsible AI Student Action | Real-World Anchor Task |
|---|---|---|---|
| Cognitive | Critical thinking and language analysis. | Using AI to simplify complex articles or analyze differences in tone. | Verifying AI facts by reading local library books or interviewing community elders. |
| Psychomotor | Physical articulation and oral fluency. | Practicing dialogue with an AI voice assistant to improve pronunciation. | Delivering a live, face-to-face speech or presentation to classmates without a screen. |
| Affective | Empathy, motivation, and intercultural awareness. | Exploring deep cultural differences and politeness levels through AI scenarios. | Working in groups to solve a physical problem in the local neighborhood, practicing mutual respect. |
Lesson Plan: The Centaur Communicator (Grade 9)
Lesson Plan: The Centaur Communicator (Grade 9)
Topic: Presenting Local Thai Culture to a Global Audience
Duration: 50 Minutes
Core Frameworks: The Centaur Model (Human-AI Synergy) & The ACA Model (Aims, Conventions, Audiences)
1. Learning Targets Across the 3 Domains
- Cognitive: Students will analyze an AI-generated text and modify it to suit a specific real-world audience using the ACA framework.
- Psychomotor: Students will practice oral fluency, eye contact, and vocal projection by presenting ideas face-to-face to their peers without reading from a screen.
- Affective: Students will practice digital discipline through brief silent reflection and develop pride in sharing their local community's culture.
2. Lesson Timeline (50 Minutes)
Phase 1: Grounding & Internal Stability (10 Minutes)
- Activity: Silence and Solitude. All smartphones and tablets remain completely turned off and face down on the desks.
- The Task: The teacher asks students to close their eyes for 3 minutes and think about their absolute favorite local Thai dish, festival, or landmark in their neighborhood.
- Human Action: On a physical sheet of paper, students spend the remaining 7 minutes drawing a quick mind-map and writing down three sensory words (Sight, Smell, Taste/Feeling) about their chosen cultural element from memory. No technology is allowed yet.
Phase 2: The AI Co-Pilot / Centaur Synergy (15 Minutes)
- Activity: Prompting the AI Assistant. Students are now allowed to open an AI chatbot on their devices.
- The Task: Students act as "Centaurs"—combining their real-world sensory words with the text-generation speed of AI. They prompt the AI to write a short, 5-sentence paragraph describing their chosen topic in English.
- Example Prompt: "I want to describe traditional Thai [Dish/Festival]. Here are my real-world words: [Insert sensory words]. Write a 5-sentence paragraph in English describing it."
- Critical Check: Students must read the AI's output and cross out at least one detail or word that feels inaccurate, robotic, or unnatural to their actual local experience.
Phase 3: Applying the ACA Model & Real-World Modification (15 Minutes)
- Activity: Audience Adaptation Workshop. Students work in pairs to evaluate and reshape the AI's raw output.
- The Task: The teacher assigns a real-world **Audience** to each group (e.g., *foreign exchange students visiting Thailand next month*). Pairs must rewrite and adapt the AI paragraph using the **ACA Model**:
- Aims: What do we want this specific audience to feel or do? (e.g., try the food, respect the local temple rules).
- Conventions: Is the language polite, inviting, and easy for a foreigner to understand? Do we need to explain local terms?
- Audiences: How do we change the words so a visitor from another country connects with it?
- The Output: Students write their final, edited paragraph by hand on an index card.
Phase 4: Real-World Human Presentation (10 Minutes)
- Activity: Screen-Free Public Speaking. Devices are closed once again.
- The Task: Students stand up, form new small circles with classmates they haven't talked to yet, and present their local cultural element.
- Rules for Engagement: Students may hold their handwritten index card for reference, but they must make direct eye contact with their peers, use clear vocal projection, and practice active, polite listening (Affective/Psychomotor). AI cannot speak for them in the real world.
3. Evaluation & Process Tracking
Instead of grading a final digital file, the teacher collects the physical worksheets showing the entire learning journey:
| What is Evaluated | Evidence of Responsible Learning |
|---|---|
| Step 1: The Human Root | The presence of the handwritten mind-map created during the 10 minutes of quiet reflection. |
| Step 2: The AI Prompt & Critique | The recorded AI prompt and the student's handwritten corrections crossing out "robotic" or inaccurate text. |
| Step 3: The ACA Alignment | Clear evidence on the final index card that the text was modified to match the aims, conventions, and target audience. |
| Step 4: Real-World Fluency | Peer and teacher observation of the student's face-to-face vocal clarity and listening respect during the final circle. |
The Three Domains of Learning in English Language Teaching (ELT): Integrating Student AI Use
The Three Domains of Learning in English Language Teaching (ELT): Integrating Student AI Use
1. Executive Summary
In modern English Language Teaching (ELT), language acquisition thrives when students move beyond passive listening and engage in active, multimodal learning. Generative AI tools act as supportive, on-demand language partners, allowing students to independently practice and develop skills outside the classroom. This report frames language development across the Cognitive, Psychomotor, and Affective domains, highlighting practical ways students can use AI to build linguistic mastery, oral fluency, and communicative confidence.
2. The Cognitive Domain (Linguistic Knowledge & Critical Thinking)
In an ELT context, the cognitive domain governs how students internalize vocabulary, grammar systems, reading comprehension, and textual analysis. When students leverage AI, they transition from memorizing rigid rules to analyzing language dynamically in context.
2.1 Levels of Cognitive Language Skills & AI Student Use
- Remember (Recall Vocabulary and Structures): Recalling word definitions, parts of speech, spelling, and irregular verb tenses.
AI Example: A student prompts an AI chatbot to generate a personalized vocabulary list with definitions based on an intermediate-level reading topic.
Target Verbs: define, identify, label, list, match, name, recall, repeat, memorize - Understand (Comprehend Text and Speech): Summarizing main ideas, clarifying difficult idioms, or paraphrasing complex sentences.
AI Example: A student copies a difficult paragraph from a news article into an AI tool and prompts: "Explain the main idea of this text in simple English (CEFR A2 level) and explain what the idiom in the second sentence means."
Target Verbs: classify, compare, contrast, differentiate, discuss, exemplify, illustrate, infer, paraphrase, summarize - Apply (Use Language in Context): Using grammatical rules or target collocations to complete functional communicative tasks.
AI Example: A student writes a short paragraph trying out new vocabulary and prompts the AI: "Check my writing for grammatical accuracy, correct any errors, and explain why the changes were made."
Target Verbs: apply, change, choose, demonstrate, execute, implement, modify, perform, show, solve - Analyze (Deconstruct Discourse Structures): Dissecting complex essays to examine structural flow, transitional signals, or stylistic shifts between texts.
AI Example: A student inputs a formal business email and a casual text message into the AI, prompting it to highlight and contrast the differences in tone, sentence structure, and vocabulary choice.
Target Verbs: analyze, attribute, categorize, deconstruct, differentiate, discriminate, distinguish, examine, organize, outline - Evaluate (Critique Language Quality & Arguments): Judging text coherence, assessing formatting styles, and reviewing arguments for persuasive clarity.
AI Example: A student pastes their draft essay into the AI and prompts: "Act as a critical reviewer. Point out any weak arguments or logical gaps in my draft and suggest where I need to add smoother transitions."
Target Verbs: appraise, argue, assess, conclude, critique, debate, evaluate, judge, prioritize, recommend, support, validate - Create (Produce Original Discourse): Generating complete, original written work, speeches, or creative storytelling pieces.
AI Example: A student uses an AI writing assistant to co-create an original short story, brainstorming plot details in English and drafting alternate paragraph options to expand their vocabulary.
Target Verbs: compile, compose, construct, design, develop, devise, formulate, generate, plan, produce, write
3. The Psychomotor Domain (Physical Execution & Oral Fluency)
Language production is physically grounded. The psychomotor domain focuses on the physical coordination, muscle memory, lip/tongue placement, and breathing control needed for clear pronunciation, natural intonation, and fluent communication.
3.1 The 7 Levels of Language Psychomotor Skills & AI Student Use
- Perception (Acoustic Discrimination): Using listening acuity to recognize and distinguish between different speech sounds or word stress markers.
AI Student Application: A student uses an AI text-to-speech app to listen to minimal pairs (e.g., "ship" vs. "sheep") at varying speeds to train their ear to perceive vowel length differences. - Set (Articulatory Readiness): Adjusting physical posture, lip shapes, and tongue positions before attempting to speak.
AI Student Application: A student watches an interactive AI animated avatar demonstrate the physical mouth and tongue movements required to produce the dental fricative /θ/ sound, mirroring the facial positioning. - Guided Response (Imitation and Voice Drills): Replicating specific phrases, sounds, or script patterns under immediate guidance.
AI Student Application: A student uses an AI pronunciation app (like ELSA Speak) to repeat sentences, receiving instant color-coded visual feedback highlighting exactly which phonemes were missed. - Mechanism (Habitual Production): Speaking everyday phrases and common expressions accurately and confidently from physical muscle memory.
AI Student Application: A student uses automated voice commands to interact with an AI smartphone assistant in English, practicing simple daily tasks like setting reminders, checking the weather, or looking up simple facts. - Complex Overt Response (Fluent Spontaneous Speech): Speaking continuously with natural sentence stress, rhythm, linking, and natural pauses.
AI Student Application: A student activates the interactive voice mode on an AI chatbot to hold a continuous, back-and-forth verbal conversation about a hobbies topic, practicing natural turn-taking. - Adaptation (Stylistic Modulation): Altering speech projection, physical gestures, and articulation speed to fit different audiences or communicative contexts.
AI Student Application: A student practices a presentation in front of an AI presentation coach app, which analyzes their speech rate, volume variations, and body language, prompting them to slow down or add emphasis. - Origination (Individual Artistic Expression): Developing a distinct personal voice, unique storytelling pacing, or custom public speaking styles.
AI Student Application: A student records their own recitation of an original poem and prompts an AI audio tool to analyze their emotional pacing and pitch choices, using the feedback to refine their performance style.
4. The Affective Domain (Attitudes, Motivation, & Identity)
Language learning is deeply emotional. According to modern language acquisition theories (such as the Affective Filter Hypothesis), high anxiety and low motivation can block learning. Conversational AI tools serve as low-anxiety, patient environments where students can build confidence without the fear of social judgment.
[Receiving Input] → [Responding in Interaction] → [Valuing Communication] → [Integrating Identity] → [Characterizing the Communicator]
4.1 The Affective Continuum & AI Student Use
- Receiving (Willingness to Listen): Overcoming initial resistance to listening to complex English input and showing a basic tolerance for ambiguous phrases.
AI Student Integration: A student uses AI-generated bilingual captions on a streaming video, gradually turning off the native subtitles to focus entirely on the target language input. - Responding (Active Classroom Participation): Willingness to speak or type in English, moving past the fear of making errors.
AI Student Integration: A student uses an AI chatbot to privately rehearse conversational lines or script dialogue ideas before entering a live classroom speaking activity. - Valuing (Appreciating the Language): Recognizing English as a personally valuable asset for global connection, independent discovery, and self-enrichment.
AI Student Integration: A student independently uses AI search engines to research global topics of personal interest in English, enjoying the immediate access to information. - Organization (Navigating Intercultural Identity): Comparing and balancing native cultural values with the target language culture, navigating complex nuances without bias.
AI Student Integration: A student uses an AI chat tool to explore "deep culture" concepts, prompting it with real-world scenarios to understand stylistic differences in politeness, indirectness, and professional styles. - Characterization (Internalizing the Communicator Identity): Developing a lasting identity as a confident, multicultural communicator who naturally uses English for peaceful, inclusive, and collaborative dialogue.
AI Student Integration: Over several months, a student regularly uses advanced AI tools as collaborative project assistants, taking ultimate responsibility for their communication choices and treating the AI as an adaptive partner.
5. Integrated Summary Matrix
| Domain | Focus in ELT | Practical AI Student Example | Evaluation Approach |
|---|---|---|---|
| Cognitive | Grammar, vocabulary mastery, and structural writing flow. | Prompting AI to simplify an advanced news article into basic English and explain new vocabulary. | Grammar check logs, vocabulary usage quizzes, textual coherence rubrics. |
| Psychomotor | Phonetics, oral rhythm, muscle memory, and script mechanics. | Using voice-to-text chat mode to practice continuous, fluid conversation with real-time turn-taking. | AI pronunciation app accuracy scores, oral fluency and rhythm checklists. |
| Affective | Anxiety reduction, intrinsic motivation, and intercultural empathy. | Privately practicing conversational scripts with a patient AI chatbot to build confidence before a live speech. | Student self-reflection logs, interactive tracking, classroom participation observations. |
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