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What is Intelligent Tutoring Systems

Chapter 20
Handbook of Research on Barriers for Teaching 21st-Century Competencies and the Impact of Digitalization
These are computer systems that work without a human teacher and provide personalized instruction and feedback to users through Artificial Intelligence technology.
Published in Chapter:
Experiences of Educators in Imparting Digital Education and 21st Century Skills to Modern Students
Sriya Chakravarti (Higher Colleges of Technology, UAE) and Rosalind Rice Stevenson (Writing on the Go, UK)
Copyright: © 2021 |Pages: 16
DOI: 10.4018/978-1-7998-6967-2.ch020
Abstract
As technology influences societies worldwide and invents new opportunities and challenges, its role in education has become increasingly relevant. As the learning environment adapts and incorporates new e-teaching tools, it becomes imperative to find the role, place of technology in education, and examine the voices of educators that work with various technologies in teaching and learning to train young learners. Therefore, this research aims to examine if educators believe that they can inculcate the 21st century skills into the modern student in an online teaching environment. Furthermore, the research attempts to find the obstacles on part of the educators and students that inhibit delivery of a seamless online educational experience and teaching of the 21st century competencies.
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Chapter 7
AI in Emergency Remote Learning Environments: Intelligent Tutoring Systems Perspective
Computer programs designed to provide adaptive and personalized training in a specific knowledge domain along with adequate feedback to student interactions supported by an intelligent artefact, named artificial tutor, for tutoring services.
Published in Chapter: AI in Emergency Remote Learning Environments: Intelligent Tutoring Systems Perspective; From: Developing Curriculum for Emergency Remote Learning Environments
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Chapter 5
Unleashing AI's Potential for Optimal Student Learning in Education: Ethical Implications
A computer a computer programme that promises to give students personalized, immediate feedback or instruction, typically without the need for teacher intervention.
Published in Chapter: Unleashing AI's Potential for Optimal Student Learning in Education: Ethical Implications; From: Creative AI Tools and Ethical Implications in Teaching and Learning
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Chapter 14
Principles of Natural Language Processing and Adaptive Courseware in E-Assessments: Empirical Evaluations
Computer systems that support and improve learning and teaching process in certain domain knowledge, respecting the individuality of learner as in traditional one-to-one tutoring.
Published in Chapter: Principles of Natural Language Processing and Adaptive Courseware in E-Assessments: Empirical Evaluations; From: Handbook of Research on E-Assessment in Higher Education
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Chapter 9
Successful Footprints of ChatGPT Deployments in the Education Sector: Pros Outweigh Cons by Embracing Ethics and Etiquette
Represent an innovative approach to personalized learning, leveraging artificial intelligence to provide tailored and interactive guidance to students. Intelligent Tutoring Systems (ITS) utilize AI to provide customized and interactive guidance to students.
Published in Chapter: Successful Footprints of ChatGPT Deployments in the Education Sector: Pros Outweigh Cons by Embracing Ethics and Etiquette; From: Revolutionizing the Service Industry With OpenAI Models
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Chapter 2
Unleashing the Potential of Every Child: The Transformative Role of Artificial Intelligence in Personalized Learning
AI-powered platforms that emulate human tutors by assessing mastery to deliver personalized instruction.
Published in Chapter: Unleashing the Potential of Every Child: The Transformative Role of Artificial Intelligence in Personalized Learning; From: Embracing Cutting-Edge Technology in Modern Educational Settings
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Chapter 28
The Polyphonic Model of Hybrid and Collaborative Learning
Computer programs with artificial intelligence that can assist, as a human tutor, a student in learning. This kind of systems is based on the cognitive paradigm, and tries to build a model of the knowledge that a student have. Starting from this model and a model of the knowledge of a given domain (a knowledge base or an ontology), the system tells to the student what to do next for achieving learning.
Published in Chapter: The Polyphonic Model of Hybrid and Collaborative Learning; From: Handbook of Research on Hybrid Learning Models: Advanced Tools, Technologies, and Applications
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Chapter 21
Artificial Intelligence and Education
A computer program that provides personalized/adaptive instruction to students without the intervention of human beings.
Published in Chapter: Artificial Intelligence and Education; From: Encyclopedia of Artificial Intelligence
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Chapter 1
Artificial Intelligence and Machine Learning in Higher Education
These systems provide personalized feedback or instruction to learners without help from a human teacher.
Published in Chapter: Artificial Intelligence and Machine Learning in Higher Education; From: Machine Learning Approaches for Improvising Modern Learning Systems
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Chapter 3
Bibliographical Analysis of Artificial Intelligence Learning in Higher Education: Is the Role of the Human Educator and Educated a Thing of the Past?
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