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Artificial Intelligence in the Process of Education

Some more recent Artificial Intelligence teaching software is able to identify areas where students are deficient and focus on that content.


Nowadays new information technologies provide powerful tools for the development of mental abilities. They allow to efficiently handle large amounts of information. New information technologies are changing the nature of the thinking and the essence of the process of education.

It is believed that Artificially Intelligent computers will be obviously used in the field of education.

Artificially Intelligent (AI) can automate grading, giving educators more time. AI can assess students and adapt to their needs, helping them work at their own pace. AI tutors can provide additional support to students, ensuring they stay on track. AI could change where and how students learn, perhaps even replacing some teachers.

Cognitive load theory is the idea of mental effort as a learning experience. While this is difficult to quantify, designing Artificial Intelligence from templates and issues that are already quantified and tailored to accepted educational studies. Learning methods in artificial intelligence are not limited to presenting information and generic quizzes. The benefit of online services in education is that it is capable of going way beyond any textbook.

While the current evaluation of educational techniques indicate that one-on-one instruction from a human tutor leads to better understanding than either classroom or online lessons. However, that is not always possible for every student and Artificial Intelligence in eLearning is still basically in its infancy. The future of artificial intelligence lies in its potential for making the most of all the elements that make e- Learning so promising.

One of the best benefits of e-Learning is that it allows students to learn at their own pace and explore new material turned up by simple searches. eLearning (from an Artificial Intelligence) tutor means that students are free to explore topics in depth, and test their knowledge in complex scenarios rather than simple right-or-wrong answers.

 Some detractors may maintain that a computer is less “relatable”, but a computer's ability to reproduce human images and voices is child's play even now. Artificial Intelligence instructors that are more dedicated, more knowledgeable, and less error-prone than human instructors are coming. And given that charisma is not a pre-requisite for classroom instructors, Artificial Intelligence programs could be more relatable, after all.

 Main Tasks of the AI in Education

There are some important features of AI in the field of Education. They are following:

- individualization and differentiation of the learning process through the implementation of interactive dialogue, choose mode of training activities and institutional forms of education;

- adoptaition the trainee's learning strategy or solving a specific class through the implementation of systems of artificial intelligence;

 - formation of information culture, components of individual culture, a member of the information society, through information and educational activities, work with object-oriented software tools and systems;

- increasing motivation of learning through computer visualization objects, phenomena, managing the studied objects, independent choice of forms and methods of teaching, blotches of game situations.

Artificial Intelligence in education should work to address, including:

  • Virtual mentors for every learner: Omnipresent support that integrates user modeling, social simulation and knowledge representation.
  • Addressing 21st century skills: Assist learners with self-direction, self-assessment, teamwork and more.
  • Analysis of interaction data: Bring together the vast amounts of data about individual learning, social contexts, learning contexts and personal interests.
  • Provide opportunities for global classrooms: Increase the interconnectedness and accessibility of classrooms worldwide.
  • Lifelong and lifewide technologies: Taking learning outside of the classroom and into the learner’s life outside of school.

Analysis And Data

 Imagine what's involved in making chess programs that can defeat a grandmaster, and you see what Artificial Intelligence is capable of; making data-driven analysis and decisions faster than a human can. Artificial Intelligence is already making a big impact on medicine and transportation, and is about to play a major role in education.

 Artificial Intelligence emphasizes areas that need improvements

 Some more recent Artificial Intelligence teaching software is able to identify areas where students are deficient and focus on that content. Advanced versions can generate new problems from source material. These online systems actually generate better material and more comprehensive testing than typical classroom curriculum.

Artificial Intelligence can create immersive experiences, not lessons.

Machine learning in artificial intelligence should be geared toward meaningful lessons, not simply passing a quiz. Artificial Intelligence systems are able to identify each student's needs and come up with models which focus on method and reason rather than bald facts.

 AlphaGo is software developed by London's Google DeepMind to play the game Go. It became the first Go program to beat a professional human player. Google's AlphaGo uses two types of Artificial Intelligence technology:

  • Deep neural networks, where a 12-layer network of connections represents a policy network selecting the best possible move from its value in predicting the winner.
  • The Monte Carlo tree search, where random moves are generated and simulations for the game that follows from them are analyzed to determine the most effective.

 Such predictive logic and analysis can be adapted to a “game” where the goal is maximizing the students grasp of concept and problem solving. Students need to be challenged.

It is believed that Artificially Intelligent computers will be obviously used in the field of education.

Artificially Intelligent (AI) can automate grading, giving educators more time. AI can assess students and adapt to their needs, helping them work at their own pace. AI tutors can provide additional support to students, ensuring they stay on track. AI could change where and how students learn, perhaps even replacing some teachers.

Cognitive load theory is the idea of mental effort as a learning experience. While this is difficult to quantify, designing Artificial Intelligence from templates and issues that are already quantified and tailored to accepted educational studies. Learning methods in artificial intelligence are not limited to presenting information and generic quizzes. The benefit of online services in education is that it is capable of going way beyond any textbook.

While the current evaluation of educational techniques indicate that one-on-one instruction from a human tutor leads to better understanding than either classroom or online lessons. However, that is not always possible for every student and Artificial Intelligence in eLearning is still basically in its infancy. The future of artificial intelligence lies in its potential for making the most of all the elements that make e- Learning so promising.

One of the best benefits of e-Learning is that it allows students to learn at their own pace and explore new material turned up by simple searches. eLearning (from an Artificial Intelligence) tutor means that students are free to explore topics in depth, and test their knowledge in complex scenarios rather than simple right-or-wrong answers.

 Some detractors may maintain that a computer is less “relatable”, but a computer's ability to reproduce human images and voices is child's play even now. Artificial Intelligence instructors that are more dedicated, more knowledgeable, and less error-prone than human instructors are coming. And given that charisma is not a pre-requisite for classroom instructors, Artificial Intelligence programs could be more relatable, after all.

 Main Tasks of the AI in Education

There are some important features of AI in the field of Education. They are following:

- individualization and differentiation of the learning process through the implementation of interactive dialogue, choose mode of training activities and institutional forms of education;

- adoptaition the trainee's learning strategy or solving a specific class through the implementation of systems of artificial intelligence;

 - formation of information culture, components of individual culture, a member of the information society, through information and educational activities, work with object-oriented software tools and systems;

- increasing motivation of learning through computer visualization objects, phenomena, managing the studied objects, independent choice of forms and methods of teaching, blotches of game situations.

Artificial Intelligence in education should work to address, including:

  • Virtual mentors for every learner: Omnipresent support that integrates user modeling, social simulation and knowledge representation.
  • Addressing 21st century skills: Assist learners with self-direction, self-assessment, teamwork and more.
  • Analysis of interaction data: Bring together the vast amounts of data about individual learning, social contexts, learning contexts and personal interests.
  • Provide opportunities for global classrooms: Increase the interconnectedness and accessibility of classrooms worldwide.
  • Lifelong and lifewide technologies: Taking learning outside of the classroom and into the learner’s life outside of school.

Analysis And Data

 Imagine what's involved in making chess programs that can defeat a grandmaster, and you see what Artificial Intelligence is capable of; making data-driven analysis and decisions faster than a human can. Artificial Intelligence is already making a big impact on medicine and transportation, and is about to play a major role in education.

 

Artificial Intelligence emphasizes areas that need improvements

 Some more recent Artificial Intelligence teaching software is able to identify areas where students are deficient and focus on that content. Advanced versions can generate new problems from source material. These online systems actually generate better material and more comprehensive testing than typical classroom curriculum.

Artificial Intelligence can create immersive experiences, not lessons.

Machine learning in artificial intelligence should be geared toward meaningful lessons, not simply passing a quiz. Artificial Intelligence systems are able to identify each student's needs and come up with models which focus on method and reason rather than bald facts.

 AlphaGo is software developed by London's Google DeepMind to play the game Go. It became the first Go program to beat a professional human player. Google's AlphaGo uses two types of Artificial Intelligence technology:

  • Deep neural networks, where a 12-layer network of connections represents a policy network selecting the best possible move from its value in predicting the winner.
  • The Monte Carlo tree search, where random moves are generated and simulations for the game that follows from them are analyzed to determine the most effective.

 Such predictive logic and analysis can be adapted to a “game” where the goal is maximizing the students grasp of concept and problem solving. Students need to be challenged.

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