Neural Networks

Teacher: Frank Hu

No. of students: 15

Date: 22.04.26

Venue: D501

Lesson duration : 40 min

Topic: Neural Networks Introduction

Class level: G9

1. Objective/ Goals & Expected Outcomes: 

1. Understand the core concept of the artificial neural network.

2. Understand two representative neural network architectures: Multilayer Perceptron (MLP), Convolutional Neural Network (CNN)

3. Comprehend the characteristics of each network, their applicable tasks, and the rationale behind using them for those tasks.

2. Prerequisite/Prior Knowledge :

1. Definitions of the neural network.

2. Use of face recognition.

3. Learner Difficulties/Misconceptions Predicted:

1. Students may mix up the definitions of neural network and CNN.

2. Students may not be able to describe the CNN implementation process.

4. e-Learning/Self-Learning/cooperative learning

1. Students can experience gesture recognition online.

2. Students have an interactive learning management system(LMS).

3. Students can discuss at the online forum.

4. Students can practice interactive questions.

5. Questioning:

1. Check if students can distinguish between the neural network and CNN

2. Check if students are able to describe the implementation process of CNN.

6. Catering for learner diversity:

1. Each online section includes additional learning materials and exercises.

2. Teachers can provide different guidance based on the real-time learning progress.

3. The AI agent in this lesson can address students' personalized questions.

Teaching process

Time

Steps

Strategies/Goals

5min 

Recall/ Revision:

The teacher demonstrates the application of gesture recognition.

Review the artificial neural network and the human nervous system.

 15min

Introduction to New Material:

Introduces the methods of image storage in computers, the multilayer perceptron, artificial neural networks, and CNN.

Teacher Activity

Demonstrate the process of CNN.

Demonstrate handwritten digit recognition cases.

 15min

Students Activity

Patrol to give guidance.

e-Learning

Complete the CNN process experiment and corresponding exercises.

Cooperative learning

Discuss the implementation process of CNN online.

Extra-activity

Ask the AI agent questions if they have any problems.

Fast students can complete additional materials and exercises.

 5min

Summary

Summarize the knowledge from this lesson and showcase the content of the student forum.

Student race

Host a question race online.

Homework

Assign the online homework.

Extra 

Feedback and follow-up

Online homework & extra materials.

Assessment of learning progress

Analyse learning data at the learning management system(LMS)

Feedback

Scores and comments on the online homework.

Following up

The flipped classroom for the next lesson.