The following is a list of learning management systems (LMS).
This just in! LMS Success was the #2 best seller at TechKnowledge 2014!
Intended for training managers and brand-new LMS administrators, LMS Success is full of advice regarding learning management system administration.Â Technical knowledge is optional!Â Basic concepts and easy-to-use tips are presented along with activities to help you develop your LMS, e-learning courses, and corporate training program. Â LMS Success was written by a trainer and LMS administrator, with the help of many learning management aficionados.
Learn How to:
Here are some specific topics discussed in LMS Success:
The technical resources, budgets, curriculum, and profile of the student body are all factors that play in implementing course design. Learning management systems administrate these aspects for the development of new methods for course delivery and corresponding instructional design.
Learning Management Systems and Instructional Design: Best Practices in Online Education provides an overview on the connection between learning management systems and the variety of instructional design models and methods of course delivery. This book is a useful source for administrators, faculty, instructional designers, course developers, and businesses interested in the technological solutions and methods of online education.
Create a tailored list of LMS selection criteria for your organization! Includes free document downloads!
Is your organization choosing a new learning management system?Â Intended for training managers, LMS administrators, and other corporate folks, The LMS Selection Checklist provides a list of system features and criteria to help your organization identify the correct learning management system.Â Don't interview an LMS vendor without this book!
Use The LMS Selection Checklist to:
Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.
Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research.
Please visit the book companion website atÂ http://www.cs.waikato.ac.nz/ml/weka/book.html
Most startups fail. But many of those failures are preventable.Â The Lean Startup is a new approach being adopted across the globe, changing the way companies are built and new products are launched.
Eric Ries defines a startup asÂ an organization dedicated to creating something new under conditions of extreme uncertainty. This is just as true for one person in a garage or a group of seasoned professionals in a Fortune 500 boardroom. What they have in common is a mission to penetrate that fog of uncertainty to discover a successful path to a sustainable business.
The Lean Startup approach fosters companies that are both more capital efficient and that leverage human creativity more effectively.Â Inspired by lessons from lean manufacturing, it relies on âvalidated learning,â rapid scientific experimentation, as well as a number of counter-intuitive practices that shorten product development cycles, measure actual progress without resorting to vanity metrics, and learn what customers really want. It enables a company to shift directions with agility, altering plans inch by inch, minute by minute.
Rather than wasting time creating elaborate business plans, The Lean Startup offers entrepreneurs - in companies of all sizes - a way to test their vision continuously, to adapt and adjust before itâs too late. Ries provides a scientific approach to creating and managing successful startups in a age when companies need to innovate more than ever.
Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable roleâ¦ In EVERY company, organization and department.
Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?'
For more than twenty years, The Art of Service's Self-Assessments empower people who can do just that - whether their title is marketer, entrepreneur, manager, salesperson, consultant, business process manager, executive assistant, IT Manager, CxO etc... - they are the people who rule the future. They are people who watch the process as it happens, and ask the right questions to make the process work better.
This book is for managers, advisors, consultants, specialists, professionals and anyone interested in Learning Management System assessment.
Featuring 469 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Learning Management System improvements can be made.
In using the questions you will be better able to:
- diagnose Learning Management System projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices
- implement evidence-based best practice strategies aligned with overall goals
- integrate recent advances in Learning Management System and process design strategies into practice according to best practice guidelines
Using a Self-Assessment tool known as the Learning Management System Scorecard, you will develop a clear picture of which Learning Management System areas need attention.
Included with your purchase of the book is the Learning Management System Self-Assessment downloadable resource, containing all questions and Self-Assessment areas of this book. This enables ease of (re-)use and enables you to import the questions in your preferred Management or Survey Tool. Access instructions can be found in the book.
You are free to use the Self-Assessment contents in your presentations and materials for customers without asking us - we are here to help. This Self-Assessment has been approved by The Art of Service as part of a lifelong learning and Self-Assessment program and as a component of maintenance of certification. Optional other Self-Assessments are available. For more information, visit http://theartofservice.com
Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining.
Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research.
The book is targeted at information systems practitioners, programmers, consultants, developers, information technology managers, specification writers, data analysts, data modelers, database R&D professionals, data warehouse engineers, data mining professionals. The book will also be useful for professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to incorporate data mining as part of their data management knowledge base and expertise.
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