What is Bebras?

The Bebras Challenge on Informatics and Computational Thinking was founded by Dr. Valentina Dagiene from the University of Vilnius in 2004. It has been over 18 years. The Bebras Challenge is designed to help students think like Computational Scientists through Interesting and Scenario-based engaging challenges to learning explore problems, Decomposition, Pattern Recognition, and Pattern Generalization Abstraction. It encourages students to improve their foundational skills to solve daily and learning issues.
It helps students grasp Coding and helps teachers and schools explore their talents and passion for informatics and computational thinking also. Computational Thinking (CT) is a must skill nowadays. Students will be more competitive than others through The Bebras Challenge as they are accustomed to having practice in finding and solving problems.
Bebras is an international initiative to promote Informatics and develop computational thinking skills. More than 160 Countries and Regions are the Bebras Initiative Members, and 18 Countries and Regions are the Observers.
Over 3 million worldwide kids and youngsters join the Bebras Challenge every year. The Bebras Challenge already has a mass user and is the most popular group in the Informatic Education field.
Academic Lineup
The Bebras International Task Workshops, where more than 200 experts from all Bebras countries meet to discuss and prepare tasks and question bases annually.
What is Computational Thinking (CT)?

92% of future jobs around the world will require digital skills. The crucial moments to study the foundation skills of computational thinking are among Primary school and Junior High School sections. Besides to accustom the Intelligent digital world, developing thinking and problem-solving skills would be more important.

Computational Thinking (CT) is involve taking that complex problem and breaking it down into a series of small, more manageable problems (decomposition). Each of these smaller problems can then be looked at individually, considering how similar problems have been solved previously (pattern recognition) and focusing only on the important details, while ignoring irrelevant information (abstraction). Next, simple steps or rules to solve each of the smaller problems can be designed (algorithms).

Engineers are good at solving problems. Solving problems is the core competence across all engineering disciplines. Engineers in different disciplines specialize in solving different types of problems and use different methodologies but solving problems is what engineers do. Training Computational Thinking can help students learn to analyze and solve problems with usable resources and different angles. Not only Computer programming, all the fun and strange in daily life can be solved by using computational thinking.

Students who grasped computational thinking can learn the theories of coding skills faster than others. They will perform their creatives with technology and applications in the future digital world, to make a better life and change the world.

Bebras Challenge Hong Kong Goals

‘Act in concert with the Teaching Philosophy of STEAM and Cultivate students' thinking ability’

The Spirit of Bebras Challenge aims to initiate students to Dare to Think and Try it out with the STEAM and multi-disciplinary knowledge to solve problems and apply them to daily life.

‘Improving students use higher thinking ability skills’

Computational Thinking (CT) is involved programming engineers’ skills and abilities to do programming and applications to solve problems. Bebras Challenge designs reasoning decryption questions to rise-up the thinking ability of students to a higher level like decomposition, algorithm design, pattern recognition, etc.

‘From Shallow to deeper, inspiring students' interest in Computer Science Learning.’

Bebras Challenge designs to put computer science and computational thinking in an easy way with daily questions. Attracting students to answer scenario-based questions through their logical thinking, to inspire their learning interest.