Information and Knowledge Management, System Analysis, Artificial Intelligence, Decision Making, Knowledge Research and Application, Natural Language Processing, Knowledge and Natural Language Modeling (2024)

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Description and Evaluation of Intelligence in Intelligent Tutoring System (ITS

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−This paper presents Intelligent Tutoring Systems (ITS) are computer programs designed to use computer science techniques to provide teachers "aware what they teach, to whom they teach and how to teach." Computer science tries to devise a behavior to the computer. If a person does it, this behavior can be described as "intelligence". Also, the intelligent systems can be regarded as attempts to devise a behavior for the computer. If a person does it, it will be described as "a good teaching". These systems can be designed and developed on a Line of intersection of the computer science, the psych-cognitive science and the educational researches. This enjoyable field is referred to as " Knowledge Science".

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Artificial Intelligence(Ai) in Education

Euro Asia International Journals

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Artificial Intelligence in Education

International Journal Of Scientific Advances, 2021

tolulope ashaolu

Artificial intelligence refers to the ability of a computer system to perform human tasks (such as thinking and learning) that usually can only be accomplished using human intelligence. AI technology in education is allowing a degree of flexibility and customization that was never before possible. It is revolutionalizing schools and classrooms, making educator’s job a lot easier. It is poised to revolutionize education. This paper provides various applications of AI in education.

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Artificial Intelligence and Education: An Overview

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Artificial Intelligence in Smart Classrooms

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yuspar uzer

This study identifies instances of technological advancement where AI was used in an intelligent classroom. A learner is more likely to learn concepts via a visual medium than from a literary one, such as smart classrooms and virtual reality programs. The inability to collaborate in education utilizing AI to create a smart classroom for increasing student learning and developing achievements was one of the new technologies' shortcomings. The idea behind that is to teach the learner through visual materials that are significantly easier for them to understand and retain than text-based lessons. The smart classroom makes decisions about how measurement data and classes of elegant class features can contribute to and lead to implementing training methods for manageable improvement in the act of authentic teaching forcefully. This study's methodology focuses on providing a review of the various types of smart classroom technologies that are now available. The outcome demonstrate...

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Determining the Knowledge Level of Pupils in the Information System of "Smart School

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At a time when current information technologies are rapidly developing, the effectiveness of the quality of education in secondary schools, the transparency of the teacher evaluation system and the analysis of several other indicators with the help of artificial intelligence are the urgent issues of the day. In this method of analysis, initially the value is entered by school experts. This value consists of a pupil in a certain category among pupils and his grades. The term category refers to various criteria, such as pupils with different levels of mental activity, pupils who are learning poorly, who are missing a lot of lessons, and the level of learning is high or low within the specified subjects or topics. The "Smart School" information system forms arrays consisting of the number of grades and grades of pupils according to the criteria entered by experts, and has the ability to sort the values that are similar to the entered value. The solution to the problem posed i...

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Using Intelligent Educational Technology in Computer Network

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Intelligent Learning: The Future of Education

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Review of Artificial Intelligence Applications and Modelling AI Framework in Education System

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2023

Patel Karika Digesh, International Journal of Scientific Research in Computer Science, Engineering and Information Technology IJSRCSEIT

The potential of using artificial intelligence in education to enhance learning, assist teachers and fuel more effective individualized learning is exciting, but also a bit challenging. To even have an intelligent conversation about AI in education, one must first push past imaginary science-fiction scenarios of computers and robots teaching our children, replacing teachers and reducing the human element from what is a fundamentally human activity. AI can automate grading so that the tutor can have more time to teach. AI chatbot can communicate with students as a teaching assistant. This research paper focuses on modelling of AI ingredients in framework of education. AI in future can work as a personal virtual tutor for students, which will be easily accessible at any time and any place.

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Intelligent Information Technology in Education

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Application of Artificial Intelligence Methods for Control of the Student Knowledge

This paper proposes a framework for the design and development of intelligent in formation systems for the knowledge control. The use of conventional tests involves the selection of answers based on a crisp logic. It is intended to use them properly only in case of strictly formally asked questions. It brings to absolutely simple questions. But the acquisition of knowledge includes not only (and not so much) memorizing some real facts, but the ability to understand the general concepts, rules and trends. To manage this knowledge " open " (no answer) test items are more effective. In this article, we presented an approach for the text analysis based on the ontology to automatically monitor the student's answer in natural language. Use of intelligent algorithms can also quickly change the evaluation system and check circuit, which significan tly improves the quality and speed of testing.

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A study: Role of artificial intelligence in education sector

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International Conference on e-Learning and the Knowledge Society-e-Learning'10-22-MIPITS and IKAS-Two Steps towards Truly Intelligent Tutoring System Based on Integration of Knowledge Management and Multiagent Techniques

Janis Grundspenkis

During the last decades modern information and telecommunication technologies which enable student-centered and one-to-one learning are widely used. The concept of intelligent tutoring systems (ITS) emerged and many systems are developed to add adaptivity and intelligence to traditional distance learning systems. The common architecture of ITSs is overviewed. The conceptual framework based on integration of knowledge management and multiagent techniques for development of ITSs is proposed. The ITS named MIPITS which is based on the holonic multiagent architecture and its tutoring scenario is presented. The concept map based multiagent adaptive intelligent knowledge assessment system (IKAS) is described from its architecture's and functionality viewpoints. INTRODUCTION Nowadays advanced countries all over the world are moving towards the knowledge society. A new type of intellectual work, so called knowledge work, emerges. As a result, education process as a whole should be chang...

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A Review on Applications of Smart Class and E-Learning

Pallavi Sharma

This paper is about the much growing technology " SMART CLASS and E-LEARNING ". The usage of smart teaching techniques is now more prevalent in school as well as other colleges and institutes. It was generated back in 1980s and is growing since then. This new technology helps the students with the benefit of learning with a different experience. The methods of e-learning make the classroom more interactive and interesting. It has also created a greater impact on our society as well as on education system. The government has also started implementing this idea of e-learning in the schools. There are several examples available in the market that encourage the idea and work for its betterment. The smart classes have their own merits and demerits but this new technology s welcomed by the society in a great manner.

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Intelligent Classroom System for Qualitative Analysis of Students' Conceptual Understanding

2013 6th International Conference on Emerging Trends in Engineering and Technology, 2013

Jannat Talwar, Dr. Mangesh Bedekar

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Artificial Intelligence, Smart Classrooms and Online Education in the 21st Century

Journal of Cases on Information Technology, 2019

Ikedinachi Ayodele Power wogu

The advent of artificial intelligence (AI) technology in the education sector has largely taken over conventional classrooms and revolutionized the way education is conducted to the admiration of many. Other scholars however, believe that such early celebration of AI benefits is unfounded and inimical to the education sector since the adoption of modern AI teaching systems now raises long-term issues about the relevance of teachers and their classrooms in 21st Century AI education. The Marxian Alienation Theory was adopted for the article. The Ex-post factor method and Derrida's critical method of analysis was utilized for attaining the objectives of the article. The article faults recent attempts at eulogizing the impact of AI innovations in the education sector and on human development. Extensive research is proposed as necessary for contemporary scholars of AI and education technologist before proper appropriation can be made about its gains in education and on human developm...

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A Survey on Applications of Artificial Intelligence for Enhancement in Learning Experience

ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY, 2020

Shubham Chaudhari

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From the Teaching machines to the Machine learning. Opportunities and challenges for Artificial Intelligence in education

Qwerty - Open and Interdisciplinary Journal of Technology, Culture and Education, 2020

Valentina Grion

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Information and Knowledge Management, System Analysis, Artificial Intelligence, Decision Making, Knowledge Research and Application, Natural Language Processing, Knowledge and Natural Language Modeling (2024)

FAQs

What is knowledge management in artificial intelligence? ›

This system harnesses and disseminates knowledge via AI-based algorithms to improve understanding, collaboration, processes, and operations in an enterprise. A KMS essentially gathers the collective knowledge of an organization, stores it effectively, and makes it easy to find and utilize when needed.

Why is NLP difficult? ›

As with any complex field, NLP comes with its fair share of challenges. The computational complexity of NLP tasks can be a significant limitation, for instance. Processing large amounts of text data requires substantial computer power and time, making it challenging to achieve real-time or near-real-time analysis.

Is NLP machine learning or deep learning? ›

Natural language processing (NLP) is a machine learning technology that gives computers the ability to interpret, manipulate, and comprehend human language.

How NLP can change your life? ›

And working with an NLP coach can help you attain the fitness that you desire. They can assist you in setting achievable goals, developing self-discipline, breaking old habits, create new ones, and enhance your self-esteem. And in case you are a sportsperson, then NLP can help you improve teamwork, rehearse success.

Is NLP really helpful? ›

NLP has been promoted as being able to treat a variety of diseases including Parkinson's disease, HIV/AIDS and cancer. Such claims have no supporting medical evidence. People who use NLP as a form of treatment risk serious adverse health consequences as it can delay the provision of effective medical care.

What are the 5 steps of knowledge management? ›

TL;DR: The knowledge management process has 5 key steps: the discovery of knowledge, capturing it, indexing that knowledge, assessing the accuracy of that knowledge, and then distributing that knowledge to the whole team or company.

What are the four types of knowledge management? ›

5 Types of Knowledge Management | Explicit, Declarative, Implicit, Tacit & Procedural. In 1924, leveraging manpower was the key to business success. Today, a century later, business success lies in taming the digital deluge. The digital revolution has reshaped our landscape.

What is knowledge management in simple words? ›

Knowledge management is the process an enterprise uses to gather, organize, share and analyze its knowledge in a way that's easily accessible to employees. This knowledge can include technical resources, frequently asked questions, training documents and other information.

How fast can you learn NLP? ›

How long does it take to learn NLP? The time it takes to learn NLP depends on the background you have in mathematics. If you are a computer science graduate, it will take you about a month. And, if you are a beginner who has no idea about NLP, it'll take you 3-4 months to learn NLP from scratch.

Is NLP training worth it? ›

Improve your personal and professional relationships: NLP helps you understand the underlying motivations and needs of others, which can help you build better relationships. It can also help you identify and overcome any limiting beliefs that may be holding you back in your personal or professional life.

Is NLP math heavy? ›

You don't have to worry if you are not a professional in math since learning NLP requires basic math such as Linear Algebra, Calculus, probability, and statistics.

Can I learn NLP without deep learning? ›

Yes, in general, I think it's more important to understand the problems (NLP) first, and then the solutions (Deep Learning) to the problems. Natural Language Processing is a set of problems that have to do with understanding human languages.

What is the difference between NLP and AI? ›

AI is the development of intelligent systems that can perform various tasks, while NLP is the subfield of AI that focuses on enabling machines to understand and process human language. Image recognition, robotics, game playing, etc.

What is NLP with example? ›

Natural Language Processing (NLP) is a subfield of artificial intelligence (AI). It helps machines process and understand the human language so that they can automatically perform repetitive tasks. Examples include machine translation, summarization, ticket classification, and spell check.

What is a realtime example of NLP? ›

The voice assistants are the best NLP examples, which work through speech-to-text conversion and intent classification for classifying inputs as action or question. Smart virtual assistants could also track and remember important user information, such as daily activities.

How is neuro linguistic programming used in everyday life? ›

NLP also targets issues in the following areas:
  • Increasing productivity.
  • Shifting to a positive mindset.
  • Developing more efficient patterns.
  • Working on skills for personal growth.
  • Building effective strategies when feeling stuck.
  • Improving communication with the self and others.
  • Changing limiting behaviors and unwanted habits.
May 29, 2023

Why NLP is important in today's world? ›

Human-Computer Interaction: NLP allows humans to interact with computers in their natural language, making technology more accessible and user-friendly. Voice Assistants: Technologies like Siri, Alexa, and Google Assistant rely on NLP to understand and respond to user queries.

What do people use NLP for? ›

Share on Pinterest NLP can be used for personal development, phobias, and anxiety. NLP uses perceptual, behavioral, and communication techniques to make it easier for people to change their thoughts and actions.

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