Personalizing Training With Adaptive Learning Systems
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| Author | : James Bennett |
| Publisher | : Association for Talent Development |
| Total Pages | : 24 |
| Release | : 2018-05-01 |
| Genre | : Business & Economics |
| ISBN | : 1562864394 |
Adaptive learning systems allow corporations to enhance and adjust training to the individual learner. Adaptive learning also allows companies to measure and assess what training participants have learned and how to further help them. In “Personalizing Training With Adaptive Learning Systems,” James Bennett presents an overview of adaptive learning and then dives deeper into details that will make working with adaptive learning systems much easier and more effective. This issue of TD at Work: · identifies the types of problems adaptive learning solves · defines common components of adaptive learning systems · discusses designing and developing in an adaptive system, including providing a design steps template · addresses what to look for when choosing an adaptive learning system.
| Author | : Jungwoo Ryoo |
| Publisher | : Springer Nature |
| Total Pages | : 148 |
| Release | : 2021-03-11 |
| Genre | : Social Science |
| ISBN | : 303058948X |
As explored in this open access book, higher education in STEM fields is influenced by many factors, including education research, government and school policies, financial considerations, technology limitations, and acceptance of innovations by faculty and students. In 2018, Drs. Ryoo and Winkelmann explored the opportunities, challenges, and future research initiatives of innovative learning environments (ILEs) in higher education STEM disciplines in their pioneering project: eXploring the Future of Innovative Learning Environments (X-FILEs). Workshop participants evaluated four main ILE categories: personalized and adaptive learning, multimodal learning formats, cross/extended reality (XR), and artificial intelligence (AI) and machine learning (ML). This open access book gathers the perspectives expressed during the X-FILEs workshop and its follow-up activities. It is designed to help inform education policy makers, researchers, developers, and practitioners about the adoption and implementation of ILEs in higher education.
| Author | : Tadlaoui, Mouenis Anouar |
| Publisher | : IGI Global |
| Total Pages | : 348 |
| Release | : 2019-12-13 |
| Genre | : Education |
| ISBN | : 1799814947 |
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 | : Peggy Grant |
| Publisher | : International Society for Technology in Education |
| Total Pages | : 200 |
| Release | : 2014-06-21 |
| Genre | : Education |
| ISBN | : 1564845443 |
Personalized Learning: A Guide for Engaging Students with Technology is designed to help educators make sense of the shifting landscape in modern education. While changes may pose significant challenges, they also offer countless opportunities to engage students in meaningful ways to improve their learning outcomes. Personalized learning is the key to engaging students, as teachers are leading the way toward making learning as relevant, rigorous, and meaningful inside school as outside and what kids do outside school: connecting and sharing online, and engaging in virtual communities of their own Renowned author of the Heck: Where the Bad Kids Go series, Dale Basye, and award winning educator Peggy Grant, provide a go-to tool available to every teacher today—technology as a way to ‘personalize’ the education experience for every student, enabling students to learn at their various paces and in the way most appropriate to their learning styles.
| Author | : Brenda Sugrue |
| Publisher | : Amer Society for Training & |
| Total Pages | : |
| Release | : 2005-12-01 |
| Genre | : Reference |
| ISBN | : 9781562864200 |
| Author | : William Cutrer |
| Publisher | : Elsevier Health Sciences |
| Total Pages | : 242 |
| Release | : 2019-09-29 |
| Genre | : Medical |
| ISBN | : 032371112X |
Tomorrow's best physicians will be those who continually learn, adjust, and innovate as new information and best practices evolve, reflecting adaptive expertise in response to practice challenges. As the first volume in the American Medical Association's MedEd Innovation Series, The Master Adaptive Learner is an instructor-focused guide covering models for how to train and teach future clinicians who need to develop these adaptive skills and utilize them throughout their careers. - Explains and clarifies the concept of a Master Adaptive Learner: a metacognitive approach to learning based on self-regulation that fosters the success and use of adaptive expertise in practice. - Contains both theoretical and practical material for instructors and administrators, including guidance on how to implement a Master Adaptive Learner approach in today's institutions. - Gives instructors the tools needed to empower students to become efficient and successful adaptive learners. - Helps medical faculty and instructors address gaps in physician training and prepare new doctors to practice effectively in 21st century healthcare systems. - One of the American Medical Association Change MedEd initiatives and innovations, written and edited by members of the ACE (Accelerating Change in Medical Education) Consortium – a unique, innovative collaborative that allows for the sharing and dissemination of groundbreaking ideas and projects.
| Author | : Alejandro Peña-Ayala |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 522 |
| Release | : 2012-08-10 |
| Genre | : Technology & Engineering |
| ISBN | : 3642301711 |
The Smart Innovation, Systems and Technologies book series encompasses the topics of knowledge, intelligence, innovation and sustainability. The aim of the series is to make available a platform for the publication of books on all aspects of single and multi-disciplinary research on these themes in order to make the latest results available in a readily-accessible form. This book is devoted to the “Intelligent and Adaptive Educational-Learning Systems”. It privileges works that highlight key achievements and outline trends to inspire future research. After a rigorous revision process twenty manuscripts were accepted and organized into four parts: Modeling, Content, Virtuality and Applications. This volume is of interest to researchers, practitioners, professors and postgraduate students aimed to update their knowledge and find out targets for future work in the field of artificial intelligence on education.
| Author | : Aleksandra Klašnja-Milićević |
| Publisher | : Springer |
| Total Pages | : 305 |
| Release | : 2016-07-19 |
| Genre | : Technology & Engineering |
| ISBN | : 3319411632 |
This monograph provides a comprehensive research review of intelligent techniques for personalisation of e-learning systems. Special emphasis is given to intelligent tutoring systems as a particular class of e-learning systems, which support and improve the learning and teaching of domain-specific knowledge. A new approach to perform effective personalization based on Semantic web technologies achieved in a tutoring system is presented. This approach incorporates a recommender system based on collaborative tagging techniques that adapts to the interests and level of students' knowledge. These innovations are important contributions of this monograph. Theoretical models and techniques are illustrated on a real personalised tutoring system for teaching Java programming language. The monograph is directed to, students and researchers interested in the e-learning and personalization techniques.
| Author | : Kathryn Ecclestone |
| Publisher | : McGraw-Hill Education (UK) |
| Total Pages | : 245 |
| Release | : 2010-10-16 |
| Genre | : Education |
| ISBN | : 0335239455 |
Despite good intentions for formative assessment to enhance the quality of students' learning and motivation, it is widely misunderstood. Throughout the education system, it has become little more than a way of coaching students to meet the demands of summative assessment. This unique book combines theory, research and practical insights to demonstrate how teachers might enhance their understanding of formative assessment, particularly in vocational and adult education settings that are under pressure to meet targets for inclusion, retention and achievement. Drawing on recent research, the book includes six case studies that draw out the implications of the research findings to suggest ways in which teachers might change their assessment practice, despite the pressures in their own contexts. It considers: What is formative assessment, and what is it not? What impact do political and social factors have on assessment practices? Why do similar assessment practices have different effects in different 'learning cultures'? What role does subject knowledge play in educationally-worthwhile formative assessment? How can teachers, lecturers and other education professionals improve formative assessment? This book is essential reading for teachers, trainee teachers, staff development officers, researchers and those running training courses throughout the lifelong learning sector. It is ideal for those studying for PTLLS, CTLLS and DTLLS qualifications and for Cert Ed and PGCE awards related to the Lifelong Learning Sector. It is also relevant to various stakeholders involved in the design of qualifications, including awarding bodies, and to researchers interested in assessment and the impact of education policy on practice in all sectors of the education system, and particularly in lifelong learning. The book is authored with Jennie Davies, Visiting Research Fellow, University of Exeter, UK; Jay Derrick, Adult Education Consultant/Visiting Lecturer, Institute of Education, London, UK; and Judith Gawn, Regional Programme Director (LLN), NIACE London, UK.
| Author | : Danilo Comminiello |
| Publisher | : Butterworth-Heinemann |
| Total Pages | : 390 |
| Release | : 2018-06-11 |
| Genre | : Technology & Engineering |
| ISBN | : 0128129778 |
Adaptive Learning Methods for Nonlinear System Modeling presents some of the recent advances on adaptive algorithms and machine learning methods designed for nonlinear system modeling and identification. Real-life problems always entail a certain degree of nonlinearity, which makes linear models a non-optimal choice. This book mainly focuses on those methodologies for nonlinear modeling that involve any adaptive learning approaches to process data coming from an unknown nonlinear system. By learning from available data, such methods aim at estimating the nonlinearity introduced by the unknown system. In particular, the methods presented in this book are based on online learning approaches, which process the data example-by-example and allow to model even complex nonlinearities, e.g., showing time-varying and dynamic behaviors. Possible fields of applications of such algorithms includes distributed sensor networks, wireless communications, channel identification, predictive maintenance, wind prediction, network security, vehicular networks, active noise control, information forensics and security, tracking control in mobile robots, power systems, and nonlinear modeling in big data, among many others. This book serves as a crucial resource for researchers, PhD and post-graduate students working in the areas of machine learning, signal processing, adaptive filtering, nonlinear control, system identification, cooperative systems, computational intelligence. This book may be also of interest to the industry market and practitioners working with a wide variety of nonlinear systems. - Presents the key trends and future perspectives in the field of nonlinear signal processing and adaptive learning. - Introduces novel solutions and improvements over the state-of-the-art methods in the very exciting area of online and adaptive nonlinear identification. - Helps readers understand important methods that are effective in nonlinear system modelling, suggesting the right methodology to address particular issues.
