Personalizing Training With Adaptive Learning Systems

Personalizing Training With Adaptive Learning Systems
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.

Innovative Learning Environments in STEM Higher Education

Innovative Learning Environments in STEM Higher Education
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.

Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning

Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning
Author: Thanasis Daradoumis
Publisher: Springer Science & Business Media
Total Pages: 344
Release: 2012-03-14
Genre: Computers
ISBN: 3642285856

Adaptation and personalization have been extensively studied in CSCL research community aiming to design intelligent systems that adaptively support eLearning processes and collaboration. Yet, with the fast development in Internet technologies, especially with the emergence of new data technologies and the mobile technologies, new opportunities and perspectives are opened for advanced adaptive and personalized systems. Adaptation and personalization are posing new research and development challenges to nowadays CSCL systems. In particular, adaptation should be focused in a multi-dimensional way (cognitive, technological, context-aware and personal). Moreover, it should address the particularities of both individual learners and group collaboration. As a consequence, the aim of this book is twofold. On the one hand, it discusses the latest advances and findings in the area of intelligent adaptive and personalized learning systems. On the other hand it analyzes the new implementation perspectives for intelligent adaptive learning and collaborative systems that are brought by the advances in scripting languages, IMS LD, educational modeling languages and learning activity management systems. Given the variety of learning needs as well as the existence of different technological solutions, the book exemplifies the methodologies and best practices through several case studies and adaptive real-world collaborative learning scenarios, which show the advancement in the field of analysis, design and implementation of intelligent adaptive and personalized systems.

Personalized Learning

Personalized 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.

The Master Adaptive Learner

The Master Adaptive Learner
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.

Adaptive Learning with Real Time Recommendation System

Adaptive Learning with Real Time Recommendation System
Author: Sowmya J
Publisher: Independent Author
Total Pages: 0
Release: 2023-04-07
Genre: Architecture
ISBN: 9781805254607

ABSTRACT Artificial Intelligence is revolutionizing the education sector and making enormous research opportunities day by day. Adaptive learning with personalization has the potential to change the education to the next level. Several learning platforms developed so far deliver the study materials and just save the learner's recorded data for suggesting the next relevant course. But there is not enough attention given to the learning content provided for individual learners. In order to provide personalized learning content, it is necessary to evaluate the current knowledge state of the learner, in that particular subject. On this basis, a framework of real time personalized adaptive learning has been constructed. In this Adaptive Learning Management System, every learner/user will be evaluated with a set of questions on the subject, which a user wants to learn. The user has to attend the questionnaire about that particular chosen subject. These questions will be prepared by the subject matter experts, in such a deep way that only if the user has already known the subject, he/she will be able to answer. Based on the given answers, the user will be categorized as beginner, medium or expert level of knowledge in that subject. The beginner categorized user will be recommended with the relevant study material where the advanced, expert level of materials will be avoided to show in the user's learning panel. Besides providing the recommended course material, this Adaptive Learning Management System keeps track of the learner. It saves each and every material the user has studied. This information will be stored in his/her personalized database. This collection of relevant and reliable data helps in evaluating the individual learner. Personalized Page Rank algorithm helps to.

Personalization and Collaboration in Adaptive E-Learning

Personalization and Collaboration in Adaptive E-Learning
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.

Transforming Formative Assessment In Lifelong Learning

Transforming Formative Assessment In Lifelong Learning
Author: Ecclestone, Kathryn
Publisher: McGraw-Hill Education (UK)
Total Pages: 245
Release: 2010-10-01
Genre: Education
ISBN: 0335236545

The idea that formative assessment or 'assessment for learning' can transform teaching and learning has become a mantra, and optimism in the 1980s and 1990s that outcome-based and competence-based assessment would widen methods and 'evidence' for showing achievement and motivate learners alienated from traditional approaches are now embedded in assessment systems, the inspection and professional development that supports them, and in teachers' own espoused theories of learning, teaching and assessment.

Evaluation of Principles and Best Practices in Personalized Learning

Evaluation of Principles and Best Practices in Personalized Learning
Author: Tenon, Susan R.
Publisher: IGI Global
Total Pages: 240
Release: 2020-06-26
Genre: Education
ISBN: 179984238X

A tremendous amount of money is being steered toward personalized learning (PL) initiatives at the federal, state, and local levels, and it is important to understand the return on the investment in students’ futures. It is only through rigorous discussions that educators and policymakers will be able to determine if PL is a passing fad or if it possesses the staying power necessary to show a positive impact on student achievement. Evaluation of Principles and Best Practices in Personalized Learning is a critical scholarly publication that explores the modern push for schools to implement PL environments and the continuing research to understand the best strategies and implementation methods for personalizing education. It seeks to begin creating a standardized language and standardized approach to the PL initiative and to investigate the implications it has on the educational system. Additionally, this book adds to the professional discussion of PL by looking at both the advantages and disadvantages of PL, the teacher’s role in PL, creating a PL program to scale, the role of technology and PL, the special education population and PL, emerging research on PL, and case studies involving PL. Featuring research on a wide range of topics such as blended learning, preservice teachers, and special education, this book is ideal for teachers, administrators, academicians, policymakers, researchers, and students.