The tasks of Digiadventurers

Teaching groups often have very different ICT and media skills and a varying amount of experience with information technology devices. In digital adventure, you can progress one world at a time around the theme chosen by the teacher. The following classifications help you find a pedagogically justified task for the age group of your teaching group.

You can go straight to the adventure map task by pressing the title of the stories or tasks below or by selecting a task from the adventure map.

Tasks can be done in the order of the adventure map or freely chosen.

In the stories you can proceed in a numerical order.

Fifth and sixth graders benefit from free information retrieval in the”Explore yourself " sections.

The tasks are numbered according to the adventure map of grades 5-6. You can access the order of your age group from the Information for the teacher section.

With Siry you will learn:

what is artificial intelligence and machine learning

what kind of tasks robots already have in the world, in different fields and in school

what it’s like to live in a smart home

how bots and artificial intelligence affect everyday life

what kind of information a smart house or robot needs to collect in order to serve its owner

Smart house

Siry's house uses renewable energy and robotics. How many robots can you find by examining the picture? What kind of tasks are planned for them?

Siry's house is a place that constantly senses the movements and moods of its residents.

For example , the heating and ventilation start and adjust themselves when they notice that many guests have arrived at Siry today or if it is particularly warm outside. The light of Siry's workstation, on the other hand, dims and brightens depending on how much natural light comes through the window.

In the smart house, the lamps also turn off and on automatically depending on where Siry and her cat Miuku-Mauku move.

Siry thinks the nicest thing is that the house helps her in everyday life, even when she gets old. If she regularly monitors her heart rate, for example with a heart rate monitor, that information can be automatically transferred to the doctor treating her. In this way, professionals in the field can monitor that everything is fine with Siri.

For Siry, it is important that the house produces as few emissions as possible and consumes only a little energy. The house runs on solar energy and a wind turbine has been added to capture the energy from the wind for use in the house. The house therefore produces energy for its own needs. Also part of Siry's surplus energy is stored, for example, in an electric car found in Siry's yard, and Siry can also sell the rest to the electricity grid for use by others.

I would need an even smarter cleaning robot. My current robot just bumps into furniture.

Robot

When a professional designs a robot, the professional takes into account:

mechatronics – equipment components belonging to robots (sensors, actuators, their control, power supply, materials, telecommunications)

system development - including methods and tools for the design, modeling and development of robotic systems

human-robot interaction - including human-machine interaction, cooperation and safety

environmental observation – including the processing of sensor data and its interpretation for understanding

movement - including robot location, mapping and route planning

intelligence – including data modeling, reasoning, and learning.

The cleaning robot designed by Siry would have sensors to prevent it from colliding with obstacles.

The robot would also have software that stores information on how the robot should act in different situations.

What does the robot need?

Sensors

Power source + Motor

Artificial Intelligence + Software

Support frame + Robot parts

How are robots used?

Let's learn: how to define a robot

Duration 5 min

Let's learn: where robots are needed

Duration 5 min

Let's practice: considering what benefit a robot that has no human emotions could have, e.g. it is infinitely patient

Duration 10 min

Let's practice: considering what it would take to make your own robot and what kind of operating instructions it would need

Duration 30 min

Let's investigate: how many robots can be found in Siry's house

Duration 10 min

Let's explore and consider: in what tasks a robot would be good at

Duration 30 min

Different robots

Artificial intelligence

A phenomenon called Alpha Go

Perhaps the most famous artificial intelligence that has been developed to beat its opponents is AlphaGO, developed to beat the popular GO board game in Asia. It was developed by the Google DeepMind company. It is a computer program that plays the board game Go. It became the first computer go program to beat a professional player on a 19×19 game board. In March 2016, it won the first three games of a five-game match against professional player Lee Sedol, and thus the entire match series. As a whole, the series finally ended 4-1. This is the first time that a go program has beaten a 9-dan professional player without leveling stones.

AlphaGo's algorithm is a combination of machine learning and tree search and training against human and machine players. It uses a Monte Carlo tree search controlled by an "evaluation network". value network) and the ‘business model network’ policy network). The operating model network recommends different game modes, from which the following game situations are evaluated by the evaluation network. In the end, AlphaGo chooses the game mode that is most successful in its simulation

Tree search means the ability of a program to use a variety of proven routes to select the right solution. Pictured is a tree search chain.

The picture shows a GO game board. In the game, territories are conquered. Have you ever played?

A professional Go player named Lee Sedol fights AlphaGO.

Deep learning and neural networks

Deep learning is based on artificial nerves that form a multilayer neural networkNerves, or neurons, calculate a numerical result from one or more numerical neural stimuli received from other neurons or input, based on an internal weight value.

The goal of deep learning is to use an algorithm to create a neural network that would be able to solve the problems given to it. Deep learning is especially used to solve problems where solutions made using traditional methods would require very complex rules. Deep learning is used, for example, to recognize or process speech, images and texts.

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