Choose the content

This program consists of a total of 4 class hours, conducted in 2 sessions across 2 separate meetings. Therefore, institutions must secure time for two classes and select one of the five programs listed below. The chosen program will become the main theme of the training conducted at that institution.

Program 1: Bluetooth Speaker + Suno Music Experience
Assemble an IoT Bluetooth speaker, create music using the AI composition tool Suno, and play it through the speaker you built.

Program 2: Mood Light + ChatGPT Story Creation
Make a mood light using a light sensor and LED, and creatively embed short messages or stories generated by ChatGPT.

Program 3: Walking Robot + Vrew Video Editing
Assemble a two-legged walking robot, film its movements, and edit the video with Vrew to add automatic subtitles and narration—recording the process as a multimedia project.

Program 4: IR Car + Teachable Machine Recognition Practice
Build an IR car that stops or avoids obstacles, then connect it to a simple recognition model trained with Teachable Machine to experience real-time reactions.

Program 5: Arduino Game Console + MakeCode Arcade Experience
Create a handheld game console using an Arduino board preloaded with basic code, then run block-coding games on MakeCode Arcade and play them yourself.

General Information

• Operating Time: Total of 4 class hours (1st session: 2 hours of making activities + 2nd session: 2 hours of AI education), approximately 80 minutes per session

• Capacity: Up to 20 participants per class, with a maximum of 5 classes operated simultaneously

• Format: On-site visiting education, conducted at the requesting institution

• Flexibility: The number of sessions can be increased and extended upon the institution’s request

• Application Process: Select the desired content, complete the education request form, and submit it via email ([email protected])

Resources to Be Considered by Applicants

• Education Venue: Classroom, lecture hall, or community space with electricity and internet access

• Participant Recruitment: Institutions must recruit learners, up to 20 per class

• Institutional Support: Coordination of schedule and internal approval process must be completed in advance

• Basic Equipment: Teacher’s laptop, projector, speakers, and other basic facilities

• AI Class Environment: Laptop or computer lab required, with stable internet connection

• Submission of Education Request Form: Complete the designated form and send it by email
  📄 Download link for the education request form

Apply for training and coordinate the schedule

Have you decided on a course?

Once you've chosen your course, it's time to apply for the course. Applicants must complete the course request form and submit it to DoroEdu, which will finalize the detailed schedule.

Filling and Submitting the Course Request Form
Download the course request form from the link below.
📄Training Request Form Download Link

Enter your institution's name, contact information, desired course content, expected number of participants, and desired schedule.

Send the completed request form to [email protected] to apply for the course.
Coordinating Schedule and Terms

A DoroEdu representative will review your request email and discuss the course schedule with the institution.
We will review the maximum number of participants per class (20), whether classes can be held concurrently (up to five), and location requirements (classroom/computer lab).

If necessary, we can also adjust the number of classes or customize the program.
Once this step is complete, all preparations for program operation are complete. The first session (making class) will then begin according to the confirmed schedule.

Prepare for the lecture

Lectures are prepared in stages based on 2 weeks before, 1 week before, 3 days before, and the day of the class.

2 Weeks Before the Lecture

• The main instructor and assistant instructor are assigned, and the assignment results are shared with the institution.

1 Week Before the Lecture

• An internal meeting is held among instructors to coordinate lecture content and roles.

• If the institution requires instructor-related documents (e.g., résumé, criminal record check, etc.), they are delivered by this point.

• Teaching materials and kits are shipped to the institution.

3 Days Before the Lecture

• The main instructor directly contacts the institution’s coordinator to confirm any special considerations or required preparations.

On the Day of the Lecture

• The instructor arrives at the site at least 30 minutes before the class starts, checks equipment and teaching kits, and completes all preparations.

Conduct the class

Once all preparations are complete, classes are conducted according to the confirmed schedule.
The program consists of 4 class hours in total, delivered over 2 sessions.

Session 1 (Making, Class Hours 1–2, approx. 80 minutes)

Depending on the selected content, students will assemble and operate one item among a speaker, mood light, robot, car, or game console.
Through hands-on making, children learn basic engineering principles and gain a sense of accomplishment from completing their creations.

Session 2 (AI Experience, Class Hours 3–4, approx. 80 minutes)

Students use AI tools appropriate for the chosen content, such as Suno, ChatGPT, Vrew, Teachable Machine, and MakeCode Arcade.
Connected to the making activity, these AI experiences include creating music, designing stories, editing videos, or training recognition models—offering opportunities for digital creativity.

Through this process, children experience fusion education where making and AI activities are interconnected.
They also come to understand how new technologies can be applied in everyday life.

Share the results

After the class is finished, the completed outcomes and activity records for each type of content are shared:

• Bluetooth Speaker: The assembled speaker and the music file created with Suno

• Mood Light: The light sensor–based mood light and the story/messages generated by ChatGPT

• Walking Robot: The assembled walking robot and the edited video made with Vrew

• IR Car: The car that recognizes and reacts to obstacles along with the trained results from Teachable Machine

• Arduino Game Console: The assembled handheld game console and the game screen executed through MakeCode Arcade

In addition, activity photos and group photos taken by assistant instructors during the class are organized and shared with the institution’s coordinator via Google Drive. After the class, a participant satisfaction survey link is also provided to help measure the effectiveness and satisfaction of the program.

Through this process, children are able to share the results they created with their families, friends, and communities, while institutions can evaluate the program’s outcomes based on the photos and survey results.