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AI-Empowered Knowledge Management in Education

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Book Synopsis AI-Empowered Knowledge Management in Education by : Sayan Chakraborty

Download or read book AI-Empowered Knowledge Management in Education written by Sayan Chakraborty. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt:

AI-empowered Knowledge Management

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Release : 2022-02-23
Genre : Technology & Engineering
Kind : eBook
Book Rating : 166/5 ( reviews)

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Book Synopsis AI-empowered Knowledge Management by : Soumi Majumder

Download or read book AI-empowered Knowledge Management written by Soumi Majumder. This book was released on 2022-02-23. Available in PDF, EPUB and Kindle. Book excerpt: This book is focused on AI-empowered knowledge management to improve processes, implementation of technology for providing easy access to knowledge and the impact of knowledge management to promote the platform for generation of new knowledge through continuous learning. The book discusses process of knowledge management which includes entirety of the creation, distribution, and maintenance of knowledge to achieve organizational objectives. It also covers knowledge management tools which enable and enhance knowledge creation, codification, and transfer within business firms thereby reducing the burden of work and allowing application of resources and effective usage towards practical tasks. An immense growth of artificial intelligence in business organizations has occurred and AI-empowered knowledge management practice is leading towards growth and development of the organization.

AI Literacy in K-16 Classrooms

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Release : 2022-12-07
Genre : Education
Kind : eBook
Book Rating : 802/5 ( reviews)

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Book Synopsis AI Literacy in K-16 Classrooms by : Davy Tsz Kit Ng

Download or read book AI Literacy in K-16 Classrooms written by Davy Tsz Kit Ng. This book was released on 2022-12-07. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence is at the top of the agenda for education leaders, scientists, technologists and policy makers in educating the next generation across the globe. Beyond applying AI in daily life applications and educational tools, understanding how to learn and teach AI is increasingly important. Despite these emerging technology breakthroughs, AI learning is still new to educators especially to K-16 teachers. There is a lack of evidence-based studies that inform them about AI learning, including design principles for building a set of curriculum content, and pedagogical approaches as well as technological tools. Teaching AI concepts and techniques from programming languages and developmentally appropriate learning tools (e.g., robotics, serious games, software, intelligent agents) across different education levels emerged in recent years. The primary purpose of this book is to respond to the need to conceptualize the emerging term “AI literacy” and investigate how to teach and learn AI in K-16 education settings. This book examines different aspects of learning artefacts, pedagogies, content knowledge and assessment methods of AI literacy education, from theoretical discussions to practical recommendations for curriculum and instructional design. An exhaustive summary of current evidence with examples is illustrated in this book, as well as cutting-edge research that serves as an AI literacy model for different countries’ contexts. Part I, “Conceptualizing AI literacy”, provides a detailed discussion on the development of the concepts and frameworks on AI literacy education, discusses the differences and similarities between AI in education (AIED) and AI literacy education, and illustrates the reasons why K-16 students need to learn AI. These concepts are brought together in Part II, “K-16 AI literacy education” to further summarize the pedagogies, learning content, learning tools and assessment methods to inform K-16 educators how to design their AI instruction at each education level. After that, part III “AI literacy for instructional designers” explores how instructional designers (i.e., AI developers and teachers) prepare themselves to become ready to design developmentally appropriate tools, platforms, services and curricula to empower students with AI literacy skills.

Knowledge Management in Education

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Release : 2013-01-11
Genre : Education
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Book Rating : 874/5 ( reviews)

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Book Synopsis Knowledge Management in Education by : Edward Sallis

Download or read book Knowledge Management in Education written by Edward Sallis. This book was released on 2013-01-11. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge Management (KM) is the technique of using the information and knowledge that is supplied to, generated by and inherent in any organization or institution, to improve its performance. This volume demonstrates how KM can be used in education to improve learning.

AI IN EDUCATION: EMPOWERING LEARNING AND TEACHING

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Release : 2023-08-21
Genre : Architecture
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Book Rating : 298/5 ( reviews)

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Book Synopsis AI IN EDUCATION: EMPOWERING LEARNING AND TEACHING by : Prof. Sanjay Agal

Download or read book AI IN EDUCATION: EMPOWERING LEARNING AND TEACHING written by Prof. Sanjay Agal. This book was released on 2023-08-21. Available in PDF, EPUB and Kindle. Book excerpt: With the assistance of artificial intelligence, which has the ability to radically revolutionize the educational system, the processes of teaching and learning may be made more successful. This may be the case for both teaching and learning. The ever expanding capabilities of AI make it feasible for it to develop personalised learning experiences, to streamline administrative operations, to improve student assessment, and to give teachers with crucial insights. In the field of education, the following is a list of significant areas in which artificial intelligence is making learning and teaching more possible: Individualized Instruction: The ability of artificial intelligence to analyze vast amounts of student data, such as performance, preferences, and learning styles, enables it to give students with the opportunity to participate in individualized learning. The material covered in a class, as well as its pace and level of difficulty, may be adjusted by intelligent tutoring systems to meet the needs of each specific learner. This leads to improved levels of involvement and understanding on the part of the students. Platforms for Adaptive Learning AI-powered adaptive learning platforms utilize algorithms that continually assess a student's progress and adjust the learning material accordingly. The name given to these kinds of systems is "adaptive learning platforms." These platforms either identify the specific areas in which students need further practice or present them with additional resources to assist them with their study. Because it caters to the specific requirements of each individual student, adaptive learning is able to maximize the educational advantages that it offers to their fullest potential. Intelligent Virtual Assistants Chatbots and other types of virtual assistants that are driven by artificial intelligence (AI) are available to provide students with rapid help. They are able to provide students with answers, explanations, and support, as well as send them in the direction of resources that are relevant to the situation. Intelligent virtual assistants make it easier to obtain more information and also promote individual study. 1 | P a ge Automated marking and commenting systems: Artificial intelligence has the ability to automate the grading process for objective tests, such as multiple-choice questions. This would free up the time of educators so that they could focus on more involved tasks. Techniques such as Natural Language Processing (NLP) make it feasible for artificial intelligence to evaluate subjective forms of assessment such as essays and provide students detailed feedback. The employment of artificial intelligence (AI) technology, which may assist educators in producing content of a higher level, may be of assistance in the production of intelligent content. They are able to generate interactive materials, develop tests, and pick resources in a manner that is congruent with certain educational objectives. Tools for producing content that are powered by artificial intelligence boost efficiency and help teachers generate interesting instructional materials. Analytics Predictive: Artificial intelligence is able to spot patterns and produce forecasts by analyzing huge volumes of data, which allows it to generate predictions about the performance of pupils, as well as their behavior and the repercussions of their activities. Educators have the ability to make use of these insights in order to intervene early and provide timely assistance to students who are having difficulty, so improving both retention rates and academic attainment. The terms "Virtual Reality" (VR) and "Augmented Reality" (AR) refer to the following: Virtual reality (VR) and augmented reality (AR) may deliver learning experiences that are both immersive and engaging if they are combined with AI technology. Students have the chance to expand both their theoretical understanding and their ability to put that understanding into practice in a range of domains by exploring virtual environments, carrying out experiments, and taking part in simulations. Making decisions based on the data provided. Artificial intelligence assists many stakeholders in the education system in making decisions based on data. The analytics made available by AI could be of use to administrators at educational institutions in recognizing trends, enhancing resource allocation, and improving operational efficiency. Dashboards that are powered by AI provide real-time information on the progress that students are making, allowing instructors to adjust their instructional strategies in accordance with the needs of their pupils.

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