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Lesson#5: Abstraction

The previous chapter showed the decompositional approach to problem-solving, whereby a large, complex problem is divided into smaller, simpler sub-problems. The motivation behind it is that solving a series of simple problems is easier than trying to tackle a big complex one.

Lesson#4: Patterns & Generalization

In this lesson, we will talk about the Patterns and Generalization of a problem’s solution. This is the continuation of the Problem-solving lesson. Effective problem-solving actually involves more than just finding a solution. Once we’ve found a solution, we should put effort into its improvement by finding ways to make it more powerful. Recognizing and …

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Lesson#2: Algorithmic Thinking

This is the second lesson of a set of 8 lessons in the field of Algorithmic Thinking. In the previous lessons, we saw what is “Logical Thinking”. In this lesson, we are approaching the notion of  “Algorithmic Thinking”.

Lesson#1: Logical Thinking

This is the first lesson of a set of 8 lessons in the field of Algorithmic Thinking. These lessons have been created in the frame of the Erasmus+ KA2 project called “Algorithmic Thinking for Migrants teachers’ education”. The title of this lesson is called “Logical Thinking”.

Learning material Pilot Phase – Greece

LabSTEM organised the learning material testing phase, on Friday 2nd of September 2022 at Kamena Vourla. During the meeting, LabSTEM representative mr.Ioannis Dimos presented the learning material to the participants. The list of lessons is seen below: Lesson#1: Logical Thinking Lesson#2: Algorithmic Thinking Lesson#3: Problem-Solving Techniques Lesson#4: Patterns & Generalization Lesson#5: Abstraction Lesson#6: Modeling Lesson#7: …

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Online SC meeting

On 10th of August 2022, the project implementation members had an online meeting to discuss the project results progress. The meeting was instantiated by the coordinator (LabSTEM) and participated mr.Ioannis Dimos (Labstem) and mr.Aldo Cammara (InProgress).

Handbook: “Algorithmic Thinking for adult migrants’ trainer’s support”

Logic and algorithms are essential to algorithmic Thinking (AT). Humans already have an innate, intuitive understanding of both logic and algorithms. On the other side, they are both mathematical concepts in nature. Consequently, each has its own set of rules, procedures and definitions, which are very precise and systematic. That means we can’t rely solely …

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