← Home
Foundation 2/3
🎓

Pedagogy & Platform

Effective AI Teaching Strategies + Using Learneris

Foundation Module 2 • 60 minutes

🎯 Learning Outcomes

  • 4 Teaching Strategies — Evidence-based, research-proven approaches
  • 5E Model — Standard lesson structure for all AI lessons
  • Differentiation — EMI Schools / Elite VN / Standard Schools
  • Learneris Platform — Hands-on activity creation practice

📋 Module Overview

💡

Part 1: Strategies

4 proven teaching methods for AI education

📖

Part 2: Lesson Design

5E Model and common pitfalls to avoid

🔧

Part 3: Platform

Using Learneris for interactive activities

🤔 Why is AI Difficult to Teach?

AI presents unique challenges that other subjects don't have.

Understanding these challenges helps us teach better.

4 Unique Challenges

👻

"Invisible" Technology

You can't "see" AI working like you can see a robot or computer

🔄

Constantly Changing

What's true today might be outdated tomorrow

🧩

Abstract Concepts

Difficult to explain to young children

😰

Teacher Anxiety

Many teachers aren't confident with AI themselves

🔑 The Solution

4 Research-Backed Teaching Strategies

Each strategy is supported by educational research
📚 Full references on slide 31

1️⃣ Unplugged First

The Principle

Teach concepts BEFORE using technology.
Concrete → Abstract

Example

Play "I Am AI" game — students follow commands like robots BEFORE using real chatbots

🎮 Unplugged Activity Ideas

🤖

"I Am AI" Role-Play

One student gives commands, another follows exactly — teaches input/output

🎴

Pattern Sorting

Sort cards by patterns students create — teaches pattern recognition

🎯

20 Questions

Guess an object with yes/no questions — teaches decision trees

2️⃣ Teaching Through Analogy

The Principle

Use analogies with familiar things.
"AI is like..."

Example

"AI is like a trained dog — learns from many examples, but sometimes still makes mistakes"

🔗 Powerful AI Analogies

🧠 "Super Pattern Finder"

AI looks at millions of examples and finds what's similar

📚 "Very Fast Reader"

AI reads billions of books but doesn't truly understand them

🎯 "Prediction Machine"

AI guesses what comes next based on patterns it's seen

🔧 "Smart Tool"

AI is a helper tool — powerful but needs human guidance

3️⃣ Productive Failure

The Principle

Intentionally let AI fail and discuss why.
Learning from mistakes is powerful.

Example

Ask ChatGPT a tricky question → watch it get wrong → "Why did AI make this mistake?"

💪 Benefits of Productive Failure

🎯

Builds Critical Thinking

Students learn to question and verify AI outputs

😌

Reduces AI Anxiety

Teachers don't need to fear AI failing in class

📚

Teachable Moments

Real failures create memorable learning experiences

4️⃣ Socratic Questioning

The Principle

Ask questions to guide student thinking.
Don't give answers — lead to discovery.

Example

"Do you think using AI to do homework is fair?" → Let students debate

📋 4 Strategies Summary

🔌

Unplugged First

Concepts before technology

🔗

Analogy

"AI is like..."

💥

Productive Failure

Let AI fail, then discuss

Socratic

Ask, don't tell

🔑 Lesson Structure

The BSCS 5E Model

Developed by Rodger Bybee (1987) • 235,000+ lesson plans implemented worldwide
Research shows improved conceptual understanding & scientific reasoning (Bybee, 2006)

📖 5 Steps in Every Lesson

1

ENGAGE

Hook attention
5 min

2

EXPLORE

Hands-on discovery
10 min

3

EXPLAIN

Direct teaching
10 min

4

ELABORATE

Apply & practice
15 min

5

EVALUATE

Check understanding
5 min

🚫 4 Pitfalls to Avoid

Common mistakes when teaching AI for the first time

🚫 Pitfalls 1-2

❌ Teaching AI as "magic"
✅ Demystify — Explain the simple process behind AI
❌ Too much jargon
✅ Maximum 3 new terms per lesson — Repeat often

🚫 Pitfalls 3-4

❌ Separating Ethics
✅ Integrate ethics throughout every lesson
❌ No backup plan
✅ Always prepare offline activities when tech fails
🔑 Differentiation

Adjusting for School Types

Same content, different approaches

🏫 3 School Types

EMI Schools

English Medium

  • English terminology
  • Global examples
  • Deeper content exploration
  • More independent work
VN Elite

High-Quality VN

  • Vietnamese with enrichment
  • VN + global examples
  • Exam preparation focus
  • Structured activities
Standard

Regular Schools

  • Simple Vietnamese
  • Familiar VN examples
  • Slower pace
  • More scaffolding
🔧 Platform

Learneris — Your LMS

Where you manage lessons, activities, and assessments

Key Platform Features

📝

AI Quiz Generator

Auto-generate quizzes from your content

🎯

Drag & Drop

Interactive drag-drop activities

📊

Sorting & Timeline

Sequencing and ordering activities

🏗️

App Builder

Create custom interactive activities

🖥️

🔴 LIVE DEMO

Facilitator demonstrates Learneris platform

Tour → Create Quiz → Create Drag-Drop Activity

👐

HANDS-ON: Create an Activity

Log in to Learneris → Create 1 quiz or drag-drop activity

10:00

🆘 Backup Plans

📵

Internet Down

Offline activities are included in the Teacher Book

🤖

AI Fails Live

Turn it into a "teachable moment" — discuss why it failed

🤷

Student Knows More

Embrace it! Invite them to share, co-learn together

💡 Key Takeaways

🛡️

Don't Fear Failure

AI mistakes are learning opportunities, not problems

📖

Follow the Structure

5E model provides a reliable framework for every lesson

🎯

Start Unplugged

Build understanding before introducing technology

💬

Group Discussion (5 minutes)

What concerns you most about teaching AI?
Which strategy do you want to try first?

05:00

📝 Module 2 Summary

💡

4 Strategies

Unplugged, Analogy,
Productive Failure, Socratic

📖

5E Model

Engage → Explore → Explain → Elaborate → Evaluate

🔧

Learneris

Quiz, Drag-Drop,
Sorting, App Builder

➡️

Up Next

Foundation 3: Assessment & Standards

YCCD Standards, QĐ 3439, CV 3456 + Parent Communication

📚 References

Bybee, R. W. (2006). The BSCS 5E instructional model: Origins and effectiveness. BSCS Science Learning.

Huang, X., et al. (2023). Fostering computational thinking through unplugged activities: A systematic review and meta-analysis. International Journal of STEM Education.

Kapur, M. (2016). Examining productive failure, productive success, and restudying. Learning and Instruction, 43, 79-88.

Paul, R., & Elder, L. (2007). The art of Socratic questioning. Foundation for Critical Thinking.

Sinha, T., & Kapur, M. (2021). When problem solving followed by instruction works: Evidence for productive failure. Review of Educational Research, 91(4), 505-542.

UNICRI. (2024). Are our children using AI without us noticing? unicri.org

Press → or Space to continue
📋 Facilitator Notes