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What is Adaptive Learning

Chapter 2
Embracing Cutting-Edge Technology in Modern Educational Settings
An educational system that modifies teaching strategies, content, pace, and feedback in real time based on continuous student data analysis.
Published in Chapter:
Unleashing the Potential of Every Child: The Transformative Role of Artificial Intelligence in Personalized Learning
Natalia Riapina (HSE University, Russia)
Copyright: © 2024 |Pages: 29
DOI: 10.4018/979-8-3693-1022-9.ch002
Abstract
The chapter explores how artificial intelligence (AI) can transform the field of education by providing customized learning experiences that meet the strengths and requirements of students. By investigating a range of real-world case studies, this chapter analyzes how AI-driven, learner-centered technologies can unlock the capabilities of each child. This chapter also scrutinizes the impact of AI on student engagement, performance, and outcomes. Moreover, ethical considerations such as ensuring fair access and balancing technology with human interaction related to the assimilation of AI technologies in educational environments are discussed. The primary objective of this chapter is to provide educators, researchers, and policymakers with insights into thoughtfully using AI to promote learner-centric instruction that customizes curricula, feedback, and support for students. Ultimately, this study seeks to further discourse on the transformation of one-size-fits-all education into dynamic experiences that meet each child's unique capabilities.
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Chapter 30
Competence Development of E-Government: A Study Circle Approach
Adaptive learning focuses on pre-defined problems and tasks and could be characterized as “learning quickly”. Adaptive learning is needed for managing routine tasks according to defined work routines.
Published in Chapter: Competence Development of E-Government: A Study Circle Approach; From: Handbook of Research on E-Government in Emerging Economies: Adoption, E-Participation, and Legal Frameworks
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Chapter 12
Navigating the AI Landscape: Student and Teacher Perceptions of AI in Assessments in High School and College Settings
A method of education that uses AI algorithms to adapt learning content and activities to the individual learner's abilities and preferences.
Published in Chapter: Navigating the AI Landscape: Student and Teacher Perceptions of AI in Assessments in High School and College Settings; From: AI-Enhanced Teaching Methods
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Chapter 4
Framework Blockchain Education: Rupture in Higher Education
Adjusting to the learning based upon classroom variables either due to teaching or learning styles.
Published in Chapter: Framework Blockchain Education: Rupture in Higher Education; From: Blockchain Technology Applications in Education
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Chapter 13
Mobile Learning in the Era of IoT: Is Ubiquitous Learning the Future of Learning?
The philosophy of providing personalized educational material/methods to match the personal needs and characteristics of the learner. That means providing the right content to the right person, at the proper time, in the most appropriate way. Adaptive learning means more efficient learning.
Published in Chapter: Mobile Learning in the Era of IoT: Is Ubiquitous Learning the Future of Learning?; From: Mobile Learning Applications in Early Childhood Education
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Chapter 8
Leveraging Generative AI for Cross-Cultural Knowledge Exchange in Higher Education
Educational models and technologies that tailor the learning experience to individual students, considering their abilities, learning styles, and progress.
Published in Chapter: Leveraging Generative AI for Cross-Cultural Knowledge Exchange in Higher Education; From: Facilitating Global Collaboration and Knowledge Sharing in Higher Education With Generative AI
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Chapter 21
Automated Assessment and Feedback in Higher Education Using Generative AI
A personalized educational approach that uses technology to tailor learning experiences to individual needs. It modifies content, presentation style, and pace based on real-time feedback on learner performance.
Published in Chapter: Automated Assessment and Feedback in Higher Education Using Generative AI; From: Transforming Education With Generative AI: Prompt Engineering and Synthetic Content Creation
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Chapter 3
Reflections on Adaptive Learning Analytics: Adaptive Learning Analytics
Adaptive learning designs an education according to his / her learning method after evaluating the learner's knowledge. This system also organizes and changes the way the learner develops in the relevant subject.
Published in Chapter: Reflections on Adaptive Learning Analytics: Adaptive Learning Analytics; From: Advancing the Power of Learning Analytics and Big Data in Education
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Chapter 7
Eye Tracking Applications for E-Learning Purposes: An Overview and Perspectives
An educational concept focusing on the adaptation of learning materials and activities to the particular skills, needs, and individual differences of each learner.
Published in Chapter: Eye Tracking Applications for E-Learning Purposes: An Overview and Perspectives; From: Cognitive Computing in Technology-Enhanced Learning
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Chapter 2
“Solve the Big Problems”: Leading Through Strategic Innovation in Blended Teaching and Learning
The use of technology systems to automate the delivery of new learning material to students who have achieved mastery and to provide remediation to those who have not.
Published in Chapter: “Solve the Big Problems”: Leading Through Strategic Innovation in Blended Teaching and Learning; From: Technology Leadership for Innovation in Higher Education
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Chapter 15
Artificial Intelligence Methods in E-Learning
Is a computer-based or web-based learning system that creates a unique learning environment meeting the needs and preferences of each individual student.
Published in Chapter: Artificial Intelligence Methods in E-Learning; From: Handbook of Research on Faculty Development for Digital Teaching and Learning
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Chapter 2
Gamification Tools to Facilitate Student Learning Engagement in Higher Education: A Burden or Blessing?
An educational method supported by computer algorithms to develop interactions with the learner and the delivery of customised resources and learning activities to fulfil learners’ unique needs.
Published in Chapter: Gamification Tools to Facilitate Student Learning Engagement in Higher Education: A Burden or Blessing?; From: Fostering Communication and Learning With Underutilized Technologies in Higher Education
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Chapter 14
Transformative Innovation in Course Design for STEM-Based E-Learning
The delivery of tailored learning experiences that meet the individual needs of learners.
Published in Chapter: Transformative Innovation in Course Design for STEM-Based E-Learning; From: Advancing STEM Education and Innovation in a Time of Distance Learning
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Chapter 49
A Survey on the Use of Adaptive Learning Techniques Towards Learning Personalization
Adaptive learning is an online educational system that scrutinizes each learner’s performance in real time and revises learning techniques based on supportive data. It provides competent, effective, personalized learning paths to engage each student and also enhance personalization.
Published in Chapter: A Survey on the Use of Adaptive Learning Techniques Towards Learning Personalization; From: Handbook of Research on Modern Educational Technologies, Applications, and Management
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Chapter 15
Teaching Online EMI Mathematics Courses: A Proposal to Combine Gamification and Adaptive Learning
An educational approach that takes advantages of the interactions between a learner and an agent which provides customized resources and activities to address the unique needs of each learner.
Published in Chapter: Teaching Online EMI Mathematics Courses: A Proposal to Combine Gamification and Adaptive Learning; From: Handbook of Research on International Approaches and Practices for Gamifying Mathematics
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Chapter 15
Cultivating Student Engagement in a Personalized Online Learning Environment
Learning system built around a set of AI algorithms that process data drawn from tens of thousands of learner interactions, whose computations are designed to discern the best content to deliver to a student based upon their prior knowledge, pace of learning, preferences, and many other variables, resulting in no two students experiencing the same course in exactly the same way, though all students ultimately achieve the same learning outcomes.
Published in Chapter: Cultivating Student Engagement in a Personalized Online Learning Environment; From: Handbook of Research on Fostering Student Engagement With Instructional Technology in Higher Education
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Chapter 14
Artificial Intelligence in Education: A Closer Look Into Intelligent Tutoring Systems
It is a dynamic learning process that adapts and creates a personalized learning experience.
Published in Chapter: Artificial Intelligence in Education: A Closer Look Into Intelligent Tutoring Systems; From: Handbook of Research on Critical Issues in Special Education for School Rehabilitation Practices
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Chapter 12
Survey of Students' Perception and the Influence of Learning Style Preferences on Learner's Intention to Use 3D Visualization Instruction: Learning Style and 3D Visualization Instruction
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Chapter 22
Ethology-Based Approximate Adaptive Learning: A Near Set Approach
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Chapter 9
Leveraging Generative Artificial Intelligence to Expedite UDL Implementation in Online Courses
An educational method that uses AI algorithms to orchestrate the interaction with the learner and deliver customized resources and learning activities to address the unique needs of each learner.
Published in Chapter: Leveraging Generative Artificial Intelligence to Expedite UDL Implementation in Online Courses; From: Unlocking Learning Potential With Universal Design in Online Learning Environments
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Chapter 7
Exploring Faculty Experiences With Technology-Supported Collaboration in College Classrooms
An educational method which uses computer algorithms as well as artificial intelligence to orchestrate the interaction with the learner and deliver customized resources and learning activities to address the unique needs of each learner.
Published in Chapter: Exploring Faculty Experiences With Technology-Supported Collaboration in College Classrooms; From: Handbook of Research on Facilitating Collaborative Learning Through Digital Content and Learning Technologies
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