Training Course

Computer Science Education

Integrating Computational Thinking to Science Learning

18 - 23 November

bandung

About the event

rationale

Science can promotes the understanding about natural phenomena and also foster innovations. Many development of new technologies in infrastructure, health, communication, transportation, and others are the example of what science can benefit to human life. Access to new technologies can improve income and therefore increase the level of living condition and socio-economic development.

Now the world is in the midst of the 4th generation of industrial revolution or known as the Industry 4.0. These include digital technologies, smart electronics, robotics, artificial intelligence, aerospace, next-generation transportation and other cutting-edge activities which will define the 21st-century economy. Countries that have made progress in transition to this economic model have realised that technology, engineering and computer science lie at the heart of all future innovations. Any country hoping to become competitive in this environment needs to invest in their education to ensure their students are empowered with the skills to navigate this digitised future.

But mostly what the education systems translate regarding this digital competency is only limited to the teaching on how to use Word, Excel, PowerPoint, Photoshop, and other already made computer applications. Being able to use these applications and send emails are important, but it should only be a start. Students spending years at school should learn more than just how to use products already created by software giants. Students should be given the skills to understand how computer programs work, so Instead of only being passive technology users, they can become active inventors and innovators by being able to develop their own programs and applications. The way to achieve this is through computer science education.

In computer science, we are not only introduce students how to use specific computer programming language (such as Java, C++, Pascal, Visual Basic, etc) but we will deal with the underlying skill that the student should possess which is computational thinking. When the focus is on computational thinking, technical skills such as coding, an activity in creating computer program/application using specific programming language, become secondary. Learning a computer programming language is important but this knowledge can quickly become outdated as new programming languages emerge. When we teach computational thinking, our emphasis is on teaching core concepts and introducing and reinforcing thinking patterns which can be applied in a variety of situations regardless of how technology changes.

In Asian countries like China, Japan, Malaysia, Singapore and Vietnam, education reforms have been successfully launched by introducing computer science in primary and secondary schools. These countries ensure students are introduced from an early age. Learning to computer science is not just for students who wish to become computer programmers in the future. It helps student develop problem-solving skills, critical thinking skills and creativity, which, according to the World Economic Forum, are essential for individuals to thrive in the 4th industrial revolution.

Learning
objectives

At the end of the training, participants should be able to:

  • recognise the importance of computational thinking in the 21st century era;
  • experience the process of computational thinking teaching and learning;
  • produce a lesson schema to enable teachers to construct lessons which incorporate computational thinking in science lesson; and
  • Observe a computational thinking integrated science lesson.

Find Something Interesting?

Please be patient. We have close the registration for this year

Topics

Adopting 21st Century Curricullum
Computational Thinking Approach in Science Learning
Infusing Computational Thinking into School Science Curriculum
Constructing Lesson Design of Science Learning using Computational Thinking
Artificial Intelegence (AI) in Science Learning
Computation Thinking Teaching Model (Peer-Teaching Activity)
Observing Practice of Computational Thinking at a School Lesson and Post Lesson Discussion

General Requirements

Science teacher in elementary (grade 4,5,6) or junior secondary level school

Able to work using computer with relevant applications (i.e. Ms. Office, internet browsers, etc.). Having an academic background in ICT will be preferrable.

Able to communicate in English

Never attend any training course conducted by SEAMEO QITEP in Science before (at least in the last 3 years)

Willing to disseminate in teacher working group (KKG/MGMP) after training.

Should not be regarded as an expectant mother

How to apply

Click the registration link below, upload the requested documents, and our officer will contact you for interview if you pass the administrative selection. The successful applicants will be contacted by our officer, and will be announced in our Website and Facebook Fan-page.

Contact

Phone: + 62 22 421 8739
whatsapp: + 62 822 4040 4071
MON-FRI 07:30 - 16:00
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