Answers the three key questions for new trainers: What does a trainer do and why? How can the skills be developed quickly? How does a trainer apply knowledge?Trainer Basics provides a clear, concise ...explanation of the training function. Veteran trainer, George M. Piskurich, explains the basics of instructional design, adult learning, needs analysis, evaluation, presenting, and facilitation. It is a great tool for training beginning practitioners and subject matter experts new to the training field.
Teachers Make Great TrainersSchoolteachers are leaving their profession at a higher rate than ever before-and for myriad reasons. Passion for teaching is generally not one of them. If you are a ...schoolteacher thinking about making a career change, knowing that your passion and purpose for education will transfer with you to your new career may be the assurance you need to make the shift. Knowing that you can be effective and create a spark for learning as well as still have the flexibility, compensation, and development you crave in a career could be the motivation to step into a new role. Teachers to Trainers: Apply Your Passion and Skills to a New Career introduces you to career opportunities in the growing industry of talent development, where all those aspirations are possible.This first-ever volume offers you a view of a different education system: the world of talent development. In each chapter, former teachers recount the stories of how they made the career switch, describe their current roles, and share resources and tips for success. You will discover why these former teachers decided to seek a change and gain valuable insights into how they transitioned into talent development roles, including what they wished they had known when making the switch and the obstacles they overcame. You will also learn about the rewards they achieved in their transitions and, most importantly, see that their passion for teaching remains. The book includes a full range of resources to guide you-skills assessments, worksheets, descriptions of certifications and certificate programs, and print and online reading recommendations. You'll also find tips about: transferable skills job market research resume creation what you need to go forward.
This book takes a new look at a subject that is at the heart of all human activity-communication. Specifically designed to help you become an effective communicator, this book gives you the tools and ...knowledge to connect with and influence your audience whether that audience is a jam-packed auditorium or three clients at an important business meeting. Communication Basics enables you to become a think-on-your-feet presenter who not only presents with authority, but also knows how to listen to your audience effectively.
Differential evolution (DE) is an efficient and powerful population-based stochastic search technique for solving optimization problems over continuous space, which has been widely applied in many ...scientific and engineering fields. However, the success of DE in solving a specific problem crucially depends on appropriately choosing trial vector generation strategies and their associated control parameter values. Employing a trial-and-error scheme to search for the most suitable strategy and its associated parameter settings requires high computational costs. Moreover, at different stages of evolution, different strategies coupled with different parameter settings may be required in order to achieve the best performance. In this paper, we propose a self-adaptive DE (SaDE) algorithm, in which both trial vector generation strategies and their associated control parameter values are gradually self-adapted by learning from their previous experiences in generating promising solutions. Consequently, a more suitable generation strategy along with its parameter settings can be determined adaptively to match different phases of the search process/evolution. The performance of the SaDE algorithm is extensively evaluated (using codes available from P. N. Suganthan) on a suite of 26 bound-constrained numerical optimization problems and compares favorably with the conventional DE and several state-of-the-art parameter adaptive DE variants.
Effective SMEs: A Trainer's Guide for Helping Subject Matter Experts Facilitate Learning is the blueprint to managing SME-led training. Authors Dale Ludwig and Greg Owen-Boger offer first-rate advice ...gleaned from decades helping presenters, instructional designers, and SMEs become better communicators. Underlying all their tips is their belief that SMEs and instructional designers must get comfortable with each other's role. The authors lay the groundwork for you, describing the fundamental principles of a successful training event and the personal approach they contend every SME and ID bring to the training table. You'll discover how to design learning events with the needs of SMEs in mind. And you'll try out best practices for coaching SMEs to deliver training efficiently and effectively. The authors also share detailed and relatable workplace scenarios drawn from their vast business experience as well as job aids to assist you in a variety of learning situations. Effective SMEs is the rare book that addresses both designing for SMEs to deliver training and coaching them to be effective once they're in the training room. Don't plan your next live training event without it.
•The work extends prior educational data mining (EDM) reviews and updates its history.•A data mining (DM) profile is set to depict the DM ground that supports EDM works.•An EDM approach profile is ...set to provide key traits for depicting EDM approaches.•A trait-value pattern is set to depict most of descriptive and predictive EDM models.•Three disciplines, tasks, methods, algorithms are the most used for building EDM works.
This review pursues a twofold goal, the first is to preserve and enhance the chronicles of recent educational data mining (EDM) advances development; the second is to organize, analyze, and discuss the content of the review based on the outcomes produced by a data mining (DM) approach. Thus, as result of the selection and analysis of 240 EDM works, an EDM work profile was compiled to describe 222 EDM approaches and 18 tools. A profile of the EDM works was organized as a raw data base, which was transformed into an ad-hoc data base suitable to be mined. As result of the execution of statistical and clustering processes, a set of educational functionalities was found, a realistic pattern of EDM approaches was discovered, and two patterns of value-instances to depict EDM approaches based on descriptive and predictive models were identified. One key finding is: most of the EDM approaches are ground on a basic set composed by three kinds of educational systems, disciplines, tasks, methods, and algorithms each. The review concludes with a snapshot of the surveyed EDM works, and provides an analysis of the EDM strengths, weakness, opportunities, and threats, whose factors represent, in a sense, future work to be fulfilled.
We study the incidence (rate of occurrence), persistence (rate of reoccurrence immediately after occurrence), and impact (effect on behavior) of students’ cognitive–affective states during their use ...of three different computer-based learning environments. Students’ cognitive–affective states are studied using different populations (Philippines, USA), different methods (quantitative field observation, self-report), and different types of learning environments (dialogue tutor, problem-solving game, and problem-solving-based Intelligent Tutoring System). By varying the studies along these multiple factors, we can have greater confidence that findings which generalize across studies are robust. The incidence, persistence, and impact of boredom, frustration, confusion, engaged concentration, delight, and surprise were compared. We found that boredom was very persistent across learning environments and was associated with poorer learning and problem behaviors, such as gaming the system. Despite prior hypothesis to the contrary, frustration was less persistent, less associated with poorer learning, and did not appear to be an antecedent to gaming the system. Confusion and engaged concentration were the most common states within all three learning environments. Experiences of delight and surprise were rare. These findings suggest that significant effort should be put into detecting and responding to boredom and confusion, with a particular emphasis on developing pedagogical interventions to disrupt the “vicious cycles” which occur when a student becomes bored and remains bored for long periods of time.
Autonomic Computing is a concept that brings together many fields of computing with the purpose of creating computing systems that self-manage. In its early days it was criticised as being a “hype ...topic” or a rebadging of some Multi Agent Systems work. In this survey, we hope to show that this was not indeed ‘hype’ and that, though it draws on much work already carried out by the Computer Science and Control communities, its innovation is strong and lies in its robust application to the specific self-management of computing systems. To this end, we first provide an introduction to the motivation and concepts of autonomic computing and describe some research that has been seen as seminal in influencing a large proportion of early work. Taking the components of an established reference model in turn, we discuss the works that have provided significant contributions to that area. We then look at larger scaled systems that compose autonomic systems illustrating the hierarchical nature of their architectures. Autonomicity is not a well defined subject and as such different systems adhere to different degrees of Autonomicity, therefore we cross-slice the body of work in terms of these degrees. From this we list the key applications of autonomic computing and discuss the research work that is missing and what we believe the community should be considering.
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