Selasa, 19 September 2017

Interactive Learning System and Education

Interactive learning 

Moving from traditional learning to interactive learning is not so simple; it takes a lot of motivation and a desire to study, but in a very new way. This motivation comes certainly from the individual who wants to acquire knowledge, but one of the important roles is that of virtual tutors, who must keep the student motivated and present attractive content to capture their attention and increase their interest in the subjects. 

It is known as interactive learning, to one of those educational methods that complements any curricular area. It refers to the pedagogical approach that includes the use of technological systems, such as computers, tablets, mobile devices, and interactive applications that, of course, include such feedback among students and tutors or teachers. 

For this to happen, it is important to move from an active or passive learning to interactive learning, which will provide a number of advantages and benefits to virtual students and virtual tutors will help them to improve their teaching processes. 

Through interactive learning, students will be able to increase their ability to analyze, improve information purification, search for new texts for their learning and adapt their skills to group work through them. 

Interactive education 

Interactive education supported by new technologies is one of the most important developmental axis today, since the educational processes took place only in the classrooms, inside the schools. The new educational strategies have allowed more diversity so that many people have the possibility to study, regardless of their age or social and economic conditions and where they are. 
Interactivity is the communicative modality that characterizes the digital age, cyber culture and the information society. This expresses the conscious availability of a communicative act, present in the message and envisaged by the sender, which opens the receiver possibilities to respond to the system of expression and dialogue with him. 

With Interactive Education there is the possibility of changes in the online classroom, intervening the 4 main factors: teacher, classroom, learning and socialization. 

Interactivity is focused as a perspective of modifying communication in the classroom, taking into account the emerging communication model and the model transmission gap that remains in the school institution. The crisis of education cannot be solved by modifying only the communication in the classroom. It tries to promote the bases of a free and plural communication, and the multiplicity of connections. 

This has brought endless benefits to education, and its pedagogical tools have seen significant progress for the digital age and the future. 

Interactive learning systems 

There are thousands of ways to turn traditional education into an interactive learning system. An example of this is the digital whiteboard, which is a technological system, which allows the projection of digital content in a good format for group viewing. 

The digital whiteboard allows you to draw, and write from the computer, using colors, visualizing texts, images and sounds, and it is also possible to interact with programs and people. All learning methods favor interaction between students and their teachers. Classes are more attractive and students participate much more.

Machine learning artificial intelligence

Machine learning artificial intelligence 

What is known as the modern civilization can be considered as a miraculous feat, made possible by science. How has it been possible to do everything that has to do with technology? Virtual flights, artificial food, even artificial intelligence. When you stop to contemplate what the human brain has achieved, it is quite remarkable. 
Scientific method, and scientific research could be the most powerful idea humans have ever had. But now, humanity is at a critical juncture in which many of the systems man needs to master are extremely complex, ranging from climate change and macroeconomic issues to Alzheimer's. Man's ability to solve these challenges and how quickly he will achieve them will affect the future well-being of billions of people and the environment in which he lives. 

Intelligence can be considered a process in which unstructured information is converted into useful and viable knowledge. The scientific promise of artificial intelligence is that we can synthesize, automate and optimize that process, using technology as a tool to help quickly acquire new knowledge in fields that would remain unexplored for humans without help. Working on artificial intelligence has become very fashionable. 

What is machine learning? 

The term artificial intelligence, is meant to simulate the higher functions of the brain, that is, create human intelligence at the expense of a computer. 

Artificial intelligence is characterized by having the ability to reason a non-living rational agent. Artificial intelligence tries, in a few words and in a way to substitute the human brain for a machine. 
The branches of science, such as computing, logic, philosophy and robotics have contributed to the creation and design of artificial intelligence machines, capable of resolving issues using the model itself. An agent, or a machine, requires large amounts of knowledge in order to have rationing about its objectives and the environment in which it develops, therefore, knowledge must be represented in an appropriate way, the logic of mathematics being a good choice for it. 

What is deep learning? 

Also known as deep neural networks, it is an aspect of artificial intelligence, which deals with simulating the learning approach, which humans use to obtain certain types of knowledge. Put simply, deep learning is a way to automate predictive analytics. 

While traditional automatic learning algorithms are linear, deep learning algorithms are stacked in a hierarchy of increasing complexity and abstraction. In order to achieve a level of accuracy, deep learning programs require access to data quantities and processing power, neither was available to programmers until the era of large data and cloud computing. This is a very innovative way, to have artificial intelligence, a leap forward into the future. 

The new technologies are on their way to a purely digital age, which can help the world, in terms of saving environmental spaces, the help of machines with automated learning, automatic qualitative and quantitative data analysis and so on. The future of the planet lies in these technologies, which have criticisms; however, history has shown that when there is a huge a path drawn so tightly, there is no way to step back.

Types of artificial intelligence

There are four main types of artificial intelligence, and as it is a topic that is very fashionable, you have to know what they are: 

Reactive Machines: Undoubtedly, it is the most basic of artificial intelligence. Nor are memories stored, nor are they used for decision making. Reactive machines perceive the world directly as they see it, and so act. Their functioning does not require them to create a model of the world. The relevant of this type is their ability to make the right choice among millions of possibilities, according to the immediate situation that arises them. 

Machines with limited memory: it is a vivid example of the artificial intelligence of autonomous cars, which do have a world on which to remember aspects such as tracks or traffic lights, and it adds the details of the present moment, with data on pedestrians or cars around. At the moment, they are not stored as memories.
Machines with a Theory of Mind: are those machines that are able to understand and express the emotions and ideas of the world, while being able to have them own, adapted to the world and respecting the existing, can thus work as a team and to be part of the day to day life of human beings. 

Machines with self-consciousness: it is the maximum level, in which machines are able to see themselves with perspective in their environment, internally and being able to predict behaviors and feelings alien to them. Machines that are able to construct a representation of them will be the last step of the systems of Artificial Intelligence. 

Applied artificial intelligence 

Artificial Intelligence can be used in a wide range of fields, including medical diagnosis, business stock trading, robotic controls, laws, scientific discoveries and toys. 

However, many applications of artificial intelligence are not perceived as such: Many artificial intelligence has been filtered in general applications, commonly without being called as such, because once something becomes sufficiently useful and common it is no longer considered as artificial intelligence. Thousands of artificial intelligence applications are deeply embedded in the infrastructure of every industry. At the end of the 1990s and the beginning of the 21st century, artificial intelligence technologies began to be widely used as elements of larger systems. 

Artificial intelligence impact 

It is a concrete fact that the world is immersed in the context of globalization and the revolution of information and communication technologies and that therefore the role of artificial intelligence is today something transcendent, as is generating qualitative changes in traditional intelligence. 

In the short and medium term, artificial intelligence is expected to bring efficiency and savings, not only in production and trade, but also in areas such as transport of people and goods, medical care, education and agriculture, and that human beings could be prevented from exposing themselves to dangerous conditions, such as those involving the cleaning of places contaminated with toxic substances. 

Undoubtedly, the future looks promising, and more and more are the technological innovations that help the human being in his daily life.