Currently, the students do not want to present for physical classes for coaching as long as they have PCs, Laptops, and web connection. Artificial Intelligence is additionally permitting the robotization of managerial tasks, enabling organizations to limit the time mandatory to finish the problematic work so that the instructors can expend more time with students. Starting from becoming the latest form of technology for the colleges to being adopted in schools, there seems to be a whole lot of things expected from AI entering in the education industry and specifically in the ed-tech sector. The unique and advanced nature of Artificial Intelligence provides many different opportunities for student engagement which can’t be found in usual textbooks or in the steamy atmosphere of the common four-walled classroom!

How is the collaboration of Artificial Intelligence and Education Technology make a difference?

Ed-tech or Education technology has revamped the way how education is imparted. The education arena is one of those spheres who have wholeheartedly adopted the latest technologies like Artificial Intelligence to automate and to improve their performance. Though at the moment we don’t really have AI-based, self-aware robots, still there is a lot that AI has done in the ed-tech sector. And, in future Artificial Intelligence is undoubtedly expected to transform the way the ed-tech sector operates.

One of the major impacts of AI in the ed-tech sector would be personalized education. AI-powered programs would be perfect to impart personalized education to the students. Firms like Carnegie Learning are already trying to make useful and workable AI-powered programs for the people. One of the key areas where AI-powered programs are really helping the students is in solving tough mathematics’ questions. By offering a one-on-one teacher-student experience, such programs are able to impart high-quality teaching. This is just one area, AI is expected to impact ed-tech in a big way and we are all ready to see the magic!

Benefits of the implementation of AI in the education industry

AI would also lead to the automation of work in the education sector, especially related to grading or record keeping. AI-powered programs will completely automate the grading and record keeping functionalities. As most of the work related to reporting and grading will be easily taken over by AI, thus, human teachers will have more time and energy left for the students as there won’t be much bookkeeping left for them.

In fact, Artificial Intelligence-based programs are expected to assist the teachers as well. They are expected to offer support to the teachers. Apart from helping them with grading, there are various other activities which can be handled by AI-based programs as well, including interacting with the students. In fact, it has already been tried as well. There was a one college professor who used an AI chatbot to communicate with the class as a teaching assistant. The experiment turned out to be pretty surprising as none of the students could realize that they are talking to an AI-powered machine and not a teacher.

Here are some of the examples through which Artificial Intelligence is being connected and initiated in education.

• Savvy Content – The technology which endeavors to consolidate textbooks into a valuable device for test preparation of questions like true or false. The creation of Savvy Content from digitized assistance of textbooks to flexible learning digital interfaces is being presented from elementary to the corporate circumstances.

• Smart Guidance – Electronic personalized guidance tweaked to the learning styles and desire of the student. The educational program organized for a student’s advancement, linked with proper focused on input, prompt chances for rectified method, and enhancement activities are essential authority learning processes.

• Implicit coordinator and educational atmosphere – Implicit human mentor and coordinators for use in a diversity of educational and curative atmosphere. Whereas it appears distinct that nobody in education is energetic for virtual humans to come and take the place of educators, making implicit human maneuver and coordinators for use. Despite the fact that not yet a reality, a definitive objective in this kind of field is to make virtual human-like characters who can act, react, interact, and thinks in a characteristic way, reacting to and utilizing both the verbal and nonverbal correspondence.

Artificial Intelligence will bring the world closer

We already know the fact that Education doesn’t have any limits. But, now Artificial Intelligence is breaking almost all the possible boundaries. Artificial Intelligence is expected to bring about revolutionary changes. As latest software development technology will make it a cakewalk for the teachers from anywhere in the world to impart learning anywhere else. Also, there would be a large spectrum of courses available. At the same time, learnings through the AI-powered programs would be limitless. Thus, AI is definitely going to transform the ed-tech sector in many ways!

Artificial Intelligence is going to transform the world and the education industry is not left behind either. The technology has the power to sur innovation everywhere. Therefore, planned and proper use of AI in the field of education is expected to make the sector more powerful. At the same time, it is also going to impact various other aspects related to educational institutions as well. For example, educational institutes will function in a much better way if Artificial Intelligence is integrated in the best way possible. Thus, AI seems to have a lot of potentials to make the educational space a lot more efficient and quick.

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Artificial Intelligence (AI) is a branch of computer science used to create intelligent machines that can work and interact with people just like intelligent human beings. AI is achieved by developing the necessary software and systems so that the machines learn and also enhance from the experience to produce better results. AI technology is based on various streams like a computer, mathematics, engineering, biology, linguistics, etc. The computer programs for developing AI consists of functions such as logical reasoning, problem-solving, and learning.

” AI has evolved rapidly in the past few years and machine learning (ML) which is a subset of AI has generated several billion dollars of revenue for various industries “

There are excellent job opportunities in this field and many institutions offer AI learning courses. There are also very reliable open source tools available for AI and the future of aspirants looking for a career in the field of AI is very bright.

Goals and Applications:

The main motive of AI is to incorporate learning, natural language processing (NLP), reasoning, data presentation, planning, and the capability to control and objects. These all are aimed for achieving creativity and all-purpose human level Intelligence. Chatbots are the most common example of AI implementation.

This article provides you the top eight tips to master the art of Artificial Intelligence. These are:

1. Learn the foremost programming language

The first step towards learning AI is to learn a programming language that is quite effective and easy to understand. Their many languages to learn AI such as Python, Java, Prolog, Perl, etc. but Python is recommended for AI due to its simplicity. The code syntax of Python is very easy to understand and its libraries are best suitable to develop machine learning programs. Some of the best online resources to learn Python is:

1. https://www.python.org/
2. https://developers.google.com/edu/python/
3. https://www.codecademy.com/learn/learn-python

By Python, you can integrate your systems more efficiently in much lesser time as compared with other languages. You will also develop chatbots and implement powerful ML logics. Chabot is implemented by developing programs that facilitate automated communication with people and deliver a wide range of services such as life-saving health messages, answering customer queries, etc.

2. Fair knowledge of Statistics

Many AI and ML algorithms are based on probability concepts (base of Statistics) and models like Bayes rule and Markov models. For example, prediction requires these concepts. Since real-world data is often jumbled with uncertainty so learning basic probability will enable you to deal with it quite effectively. Besides this, knowledge of statistical concepts such as mean, median, mode, standard deviation, and distributions like binomial, Poisson, normal, chi-square, and hypergeometric, etc. will be an added advantage.

ML algorithms mostly use these statistics to extract meaningful information from pre-existing data and deliver the best possible solution to the problem.

3. Ensure proper system design  

An AI learner should have good knowledge about the various components used in developing the necessary software since AI and ML are not separated but are a part of the system. So it is necessary to understand the working and communication between different components of the system like the libraries used, database queries and creating a user interface to interact with the machine and AI system.

An optimized design should be made to work well with hardware ensuring that your AI algorithms dynamically scale up and down as required.

“AI algorithms have to deal with a large volume of data so proper design, documentation, and testing skills are needed to deliver a quality product “

4. Learn the use of standard models

Although the programmers know the implementation of ML algorithms through APIs, libraries, etc. but the smart trick lies in using standard models like neural nets and decision trees to apply them effectively. Moreover, programmers need to learn the steps to fit new data that is created by models such as linear regression, boosting, genetic algorithms, etc. They should also understand and analyze the relative merits and demerits of different approaches.

Additionally, data leakage, data loss, overfitting and underfitting of data occur in bulk so practice the models and develop the skills which are crucial for aspirants seeking a successful career in AI and ML.

5. Expertise in data modeling

AI and ML develop because of data, so it is important to understand data modeling. Data scientists use data modeling to estimate the structure of datasets which enables them to find useful patterns and data correlations. It also helps in predicting the properties of invisible samples by classification, inconsistency detection, etc.

You need to figure out how to proceed from a loosely -defined business goal towards framing a well-defined ML algorithm that will successfully accomplish the required task.

6. Develop chatbots and virtual assistants

Practice and be comfortable in developing chatbots and virtual assistants because they dominate the AI scenario. Natural language processing (NLP) and speech recognition methods have become prominent to replicate better understanding and providing relevant information to deliver the right business value. NLP is also used in creating smart virtual assistants e.g. many smartphone users use AI virtual assistants like Google’s Assistant and Apple Siri.

      NLU: Natural Language Understanding

NLG: Natural Language Generation

Most of the customers prefer to talk directly with the concerned executives but still, chatbots are important. Since chatbots are available 24/7, they are best for emergency response and placing simple orders thereby generating a lot of revenue to the companies.

7. Learn Robotics

Robotics is an important application of AI used to create intellectual and capable robots. These robots are meant for manipulating objects by picking, moving, or altering the physical properties of an object, etc. You can go ahead with learning robotics which is a combination of computer science, mechanical and electrical engineering. Robots play a crucial role in various industries and the army.

8. Apply ML resourcefully

Great opportunities for professional ML work also include applying ML in production systems. Good programming skills are required in professional work and these skills will improve with experience and the number of projects you work on.

With interest and active participation in machine learning research work, you will be able to attain the proficiency level soon. Then you can also use ML analysis to enhance product and business decisions.

Author Bio:

Paru Saxena, Sales head at TechIngenious – A Mobile app development company in Jaipur. Writing is my passion and I am writing from the past 5 years. However, my experience lies in digital marketing and web development.  I have a proven track of record in sales & business development with leading organizations. When I am free, I like to observe nature in its wide diversity of forms.

The post Master The Art of Artificial Intelligence with These 8 Tips appeared first on AiiotTalk - Artificial Intelligence | Robotics | Technology.

“ Artificial Intelligence is yet to make some significant contributions to education and learning. We are quite far from seeing intelligent machines in the classrooms. ”

But, what impact would Artificial Intelligence have on education is the topic of great debate in today’s world. While many people claim that Artificial Intelligence will take over education & learning to the detriment of teachers and students, some believe that this technology will bring a lot of improvements. Already AI automated and revolutionized every other field it has contributed to. So, there are great chances that it will improve education & learning and make the whole process a lot easier for students and teachers. Let’s see how.

> Artificial Intelligence Can Change the Whole Teaching Experience

Many people have a misconception that robots will take over the teachers if Artificial Intelligence makes a way into education. However, the truth is that AI will make the whole teaching experience easier by driving the personalization and efficiency in education and learning. If AI takes over the educational system, then it can use the best attributes of machines and teachers to the maximum in order to give the best learning experience to students and bring amazing outcomes for them.

> Artificial Intelligence Can Help Students in Adaptive Learning 

While the concept of adaptive learning had been introduced a long ago, its effectiveness can be improved with the help of Artificial Intelligence.

• Knowji helps students in remembering difficult words by tracking them down and suggesting the time to practice.
• Splash math, on the other hand, helps them learn math with a number of personalized tasks, games, and exercise.

        “ Many AI-powered adaptive learning applications, such as Knowji and Splash math can help students in learning things in a better way. ”

> Artificial Intelligence Can Make Global Classrooms Accessible for Everyone

If the AI-powered learning system is included in the current education scenario, then students sitting in any corner of the world can get access to the global classrooms. With traditional teaching methods, it is not possible to impart education to everyone. If Artificial Intelligence gets into the educational system, then students who can’t attend school due to some issue or want to study a course that is not available in their college will be highly benefited.

> Artificial Intelligence Can Provide One-to-One Learning Sessions to Students

 In traditional classroom system, it is not possible for a teacher to pay attention to every single student. But, Artificial Intelligence provides one-to-one learning sessions to every student so that they can learn things as per their abilities. Researchers are working on various Artificial Intelligence programs that can provide personalized curriculum, enrichment activities, and opportunities for corrected practice to each student. These programs will first determine the specific needs of every scholar and then provide individualized learning to them.

> Artificial Intelligence Can Automate Admin Tasks

 Since the time Artificial Intelligence has started making a way into the educational system, teachers have been worried that robots will take their jobs. However, they need to understand that robots won’t reduce teachers but automate various admin tasks, such as homework and grading test. The robots can also simplify the entire enrollment and admission processes. Moreover, when

               “ AI-powered machines will help students in learning, teachers will get more time to interact with them and understand their struggles ”

Artificial Intelligence solutions and systems can impart education to students with various capabilities and interests. Also, Artificial Intelligence can help students gain technical skills and knowledge that they require to get exciting career prospects. However, we will get to see the real picture once Artificial Intelligence makes some really significant contributions to the educational system.

John Noels writer at  online assignment help  has a deep interested in the field of Artificial Intelligence and the Internet of Things and can be found reading articles on them in his free time.

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