AI Injected e-Learning PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download AI Injected e-Learning PDF full book. Access full book title AI Injected e-Learning by Matthew Montebello. Download full books in PDF and EPUB format.
Author: Matthew Montebello
Publisher: Springer
ISBN: 3319679287
Category : Technology & Engineering
Languages : en
Pages : 86
Get Book
Book Description
This book reviews a blend of artificial intelligence (AI) approaches that can take e-learning to the next level by adding value through customization. It investigates three methods: crowdsourcing via social networks; user profiling through machine learning techniques, and personal learning portfolios using learning analytics. Technology and education have drawn closer together over the years as they complement each other within the domain of e-learning, and different generations of online education reflect the evolution of new technologies as researcher and developers continuously seek to optimize the electronic medium to enhance the effectiveness of e-learning. Artificial intelligence (AI) for e-learning promises personalized online education through a combination of different intelligent techniques that are grounded in established learning theories while at the same time addressing a number of common e-learning issues. This book is intended for education technologists and e-learning researchers as well as for a general readership interested in the evolution of online education based on techniques like machine learning, crowdsourcing, and learner profiling that can be merged to characterize the future of personalized e-learning.
Author: Matthew Montebello
Publisher: Springer
ISBN: 3319679287
Category : Technology & Engineering
Languages : en
Pages : 86
Get Book
Book Description
This book reviews a blend of artificial intelligence (AI) approaches that can take e-learning to the next level by adding value through customization. It investigates three methods: crowdsourcing via social networks; user profiling through machine learning techniques, and personal learning portfolios using learning analytics. Technology and education have drawn closer together over the years as they complement each other within the domain of e-learning, and different generations of online education reflect the evolution of new technologies as researcher and developers continuously seek to optimize the electronic medium to enhance the effectiveness of e-learning. Artificial intelligence (AI) for e-learning promises personalized online education through a combination of different intelligent techniques that are grounded in established learning theories while at the same time addressing a number of common e-learning issues. This book is intended for education technologists and e-learning researchers as well as for a general readership interested in the evolution of online education based on techniques like machine learning, crowdsourcing, and learner profiling that can be merged to characterize the future of personalized e-learning.
Author: Tadlaoui, Mouenis Anouar
Publisher: IGI Global
ISBN: 1799814947
Category : Education
Languages : en
Pages : 348
Get Book
Book Description
As part of e-learning, adaptive systems are more specialized and focus on the adaptation of learning content and presentation of this content. An adaptive system focuses on how knowledge is learned and pays attention to the activities, cognitive structures, and context of the learning material. The adaptive term refers to the automatic adaptation of the system to the learner. The needs of the learner are borne by the system itself. The learner did not ask to change the parameters of the system to his own needs; it is rather the needs of the learner that will be supposed by the system. The system adapts according to this necessity. Personalization and Collaboration in Adaptive E-Learning is an essential reference book that aims to describe the specific steps in designing a scenario for a collaborative learning activity in the particular context of personalization in adaptive systems and the key decisions that need to be made by the teacher-learner. By applying theoretical and practical aspects of personalization in adaptive systems and applications within education, this collection features coverage on a broad range of topics that include adaptive teaching, personalized learning, and instructional design. This book is ideally designed for instructional designers, curriculum developers, educational software developers, IT specialists, educational administrators, professionals, professors, researchers, and students seeking current research on comparative studies and the pedagogical issues of personalized and collaborative learning.
Author: Ulrich Hoppe
Publisher: IOS Press
ISBN: 9781586033569
Category : Computers
Languages : en
Pages : 566
Get Book
Book Description
This work reports on research into intelligent systems, models, and architectures for educational computing applications. It covers a wide range of advanced information and communication and computational methods applied to education and training.
Author: Mark A. Carrigan
Publisher: Edward Elgar Publishing
ISBN: 1802204571
Category : Education
Languages : en
Pages : 361
Get Book
Book Description
This timely book offers a detailed, multidisciplinary view on the radical changes in higher education caused by the COVID-19 pandemic. Chapters carefully investigate how the pandemic led to massive disruption in the sector, examining the contentious politics involved and various managerial and policy changes that stemmed from this unprecedented crisis.
Author: Sistek-Chandler, Cynthia Mary
Publisher: IGI Global
ISBN: 1799816249
Category : Education
Languages : en
Pages : 333
Get Book
Book Description
Exploring online learning through the lens of synchronous and asynchronous instructional methods can be beneficial to the online instructor and to the course designer. Understanding the underlying theoretical foundation is essential to justify both types of instructional pedagogies. Learning theory as it applies to online environments encompasses myriad techniques and practices. Edited by Dr. Cynthia Mary Sistek-Chandler, who was named the 2020 Higher Education Technology Leader Winner by EdTech Digest, Exploring Online Learning Through Synchronous and Asynchronous Instructional Methods is an essential scholarly book that provides relevant and detailed research on the applications of synchronous and asynchronous instructional pedagogies and discusses why they are critical to the design and implementation of contemporary online courses. Featuring an array of topics such as student engagement, adaptive learning, and online instruction, this book is ideal for online instructors, instructional designers, curriculum developers, course designers, academicians, administrators, e-learning professionals, researchers, and students.
Author: Pallavi Tyagi
Publisher: Emerald Group Publishing
ISBN: 1803825553
Category : Business & Economics
Languages : en
Pages : 336
Get Book
Book Description
The Covid 19 pandemic has created chaos in the business world and forced leaders to rethink their operational status quo. Balancing the physical and virtual spaces of the global digital economy has called for additional support from data-driven technologies like smart analytics and artificial intelligence.
Author: Ahmed, Zeinab E.
Publisher: IGI Global
ISBN:
Category : Education
Languages : en
Pages : 426
Get Book
Book Description
The digital age has ushered in an era where students must be equipped not only with traditional knowledge but also with the skills to navigate an increasingly interconnected and technologically driven world. As traditional teaching methods encounter the complexities of the 21st century, the demand for innovation becomes more apparent. This paves the way for the era of artificial intelligence (AI), a technological frontier that carries the potential to reshape education fundamentally. AI-Enhanced Teaching Methods recognizes the urgency of the ongoing technological shift and delves into an exploration of how AI can be effectively harnessed to redefine the learning experience. The book serves as a guide for educators, offering insights into navigating between conventional teaching methodologies and the possibilities presented by AI. It provides an understanding of AI's role in education, covering topics from machine learning to natural language processing. Ethical considerations, including privacy and bias, are thoroughly addressed with thoughtful solutions as well. Additionally, the book provides valuable support for administrators, aiding in the integration of these technologies into existing curricula.
Author: Azevedo, Ana
Publisher: IGI Global
ISBN: 152255937X
Category : Education
Languages : en
Pages : 514
Get Book
Book Description
E-assessments of students profoundly influence their motivation and play a key role in the educational process. Adapting assessment techniques to current technological advancements allows for effective pedagogical practices, learning processes, and student engagement. The Handbook of Research on E-Assessment in Higher Education provides emerging perspectives on the theoretical and practical aspects of digital assessment techniques and applications within educational settings. Featuring coverage on a broad range of topics such as competency assessment, adaptive courseware, and learning performance, this publication is ideally designed for educational administrators, educational professionals, teachers and professors, researchers, and graduate-level students seeking current research on comparative studies and the pedagogical issues of online assessment in academic institutions.
Author: Montebello, Matthew
Publisher: IGI Global
ISBN: 1522593063
Category : Education
Languages : en
Pages : 394
Get Book
Book Description
Education has gone through numerous radical changes as the digital era has transformed the way we as humans communicate, inform ourselves, purchase goods, and perform other mundane chores at home and at work. New and emerging pedagogies have enabled rapid advancements, perhaps too rapidly. It’s a challenge for instructors and researchers alike to remain up to date with educational developments and unlock the full potential that technology could have on this significant profession. The Handbook of Research on Digital Learning is an essential reference source that explores the different challenges and opportunities that the new and transformative pedagogies have enabled. The challenges will be portrayed through a number of case studies where learners have struggled, managed, and adapted digital technologies in their effort to progress educational goals. Opportunities are revealed and displayed in the form of new methodologies, institutions scenarios, and ongoing research that seeks to optimize the use of such a medium to assist the digital learner in the future of networked education. Featuring research on topics such as mobile learning, self-directed learning, and cultural considerations, this book is ideally designed for teachers, principals, higher education faculty, deans, curriculum developers, instructional designers, educational software developers, IT specialists, students, researchers, and academicians.
Author: Habib, Maki K.
Publisher: IGI Global
ISBN: 1522577947
Category : Education
Languages : en
Pages : 264
Get Book
Book Description
Artificial Intelligence (AI) serves as a catalyst for transformation in the field of digital teaching and learning by introducing novel solutions to revolutionize all dimensions of the educational process, leading to individualized learning experiences, teachers playing a greater role as mentors, and the automation of all administrative processes linked to education. AI and machine learning are already contributing to and are expected to improve the quality of the educational process by providing advantages such as personalized and interactive tutoring with the ability to adjust the content and the learning pace of each individual student while assessing their performance and providing feedback. These shifts in the educational paradigm have a profound impact on the quality and the way we live, interact with each other, and define our values. Thus, there is a need for an earnest inquiry into the cultural repercussions of this phenomenon that extends beyond superficial analyses of AI-based applications in education. Revolutionizing Education in the Age of AI and Machine Learning addresses the need for a scholarly exploration of the cultural and social impacts of the rapid expansion of artificial intelligence in the field of education including potential consequences these impacts could have on culture, social relations, and values. The content within this publication covers such topics as AI and tutoring, role of teachers, physical education and sports, interactive E-learning and virtual laboratories, adaptive curricula development, support critical thinking, and augmented intelligence and it is designed for educators, curriculum developers, instructional designers, educational software developers, education consultants, academicians, administrators, researchers, and professionals.
