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Describes how to evaluate interactive learning systems, both in their initial development and later in regard to effectiveness and efficiency. These include web-based systems, computer-aided learning, etc.
Higher education is undergoing radical changes with the arrival of emerging technology that can facilitate better teaching and learning experiences. However, with a lack of technical awareness, technophobia, and security and trust issues, there are several barriers to the uptake of emerging technologies. As a result, many of these new technologies have been overlooked or underutilized. In the information systems and higher education domains, there exists a need to explore underutilized technologies in higher education that can foster communication and learning. Fostering Communication and Learning With Underutilized Technologies in Higher Education is a critical reference source that provides contemporary theories in the area of technology-driven communication and learning in higher education. The book offers new knowledge about educational technologies and explores such themes as artificial intelligence, digital learning platforms, gamification tools, and interactive exhibits. The target audience includes researchers, academicians, practitioners, and students who are working or have a keen interest in information systems, learning technologies, and technology-led teaching and learning. Moreover, the book provides an understanding and support to higher education practitioners, faculty, educational board members, technology vendors and firms, and the Ministry of Education.
You′re about to start your first evaluation project. Where do you begin? Or you′re a practicing evaluator faced with a challenging situation. How do you proceed? How do you handle the interactive components and processes inherent in evaluation practice? Use Interactive Evaluation Practice to bridge the gap between the theory of evaluation and its practice. Taking an applied approach, this book provides readers with specific interactive skills needed in different evaluation settings and contexts. The authors illustrate multiple options for developing skills and choosing strategies, systematically highlighting the evaluator′s three roles as decision maker, actor, and reflective practitioner. Case studies and interactive examples stimulate thinking about how to apply interactive skills across a variety of evaluation situations. "From beginning to end, this book is an indispensable resource for those responsible for the evaluation process. In essence, here′s a chance to learn from masters about acquiring mastery. What could be more useful?" Michael Quinn Patton, Author of Utilization-Focused Evaluation "At long last, a book that explicitly addresses the importance of interpersonal dynamics in evaluation practice!" Hallie Preskill, Executive Director, Strategic Learning and Evaluation Center, FSG "As an evaluator who frequently interacts with a variety of stakeholders and who provides graduate-level evaluation training, I find Interactive Evaluation Practice to be an exceptional addition to the evaluation literature and a useful guide to interacting with various stakeholder groups." Chris L. S. Coryn, Western Michigan University
With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of “black-box” in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications. This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making. This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.
"The book provides A guidelines approach on how to implement the proposed theory and tools in e-learning programs"--Provided by publisher.
Packed with advice, vignettes and case studies, as well as useful tips and checklists for improving teaching, the second edition of Developing Your Teaching is the ideal toolkit to support the development of teaching practice. Providing a blend of ideas, interactive review points and case study examples from university teachers, this accessible handbook for professional practice provides ideas on a range of topics including: learning from student feedback and peer review students as consumers and their expectations building effective partnerships with students and colleagues developing a teaching portfolio choosing effective teaching practices the challenges and benefits of securing an initial teacher qualification A must-read for all those new to teaching in higher education, as well as more experienced lecturers looking to refresh and advance the quality of their teaching, this fully updated new edition is the ideal toolkit to support the development of teaching practice.
This second edition is a practical, easy-to-read resource on web-based learning. The book ably and clearly equips readers with strategies for designing effective online courses, creating communities of web-based learners, and implementing and evaluating based on an instructional design framework. Case example, case studies, and discussion questions extend readers skills, inspire discussion, and encourage readers to explore the trends and issues related to online instructional design and delivery.
The purpose of the volume is to explore the theory, development and use of visual displays and graphic organizers to improve instruction, learning and research. We anticipate five sections that address (1) frameworks for understanding different types of displays, (2) research-tested guidelines for constructing displays, (3) empirically-based instructional applications, (4) using displays to promote research and theory development, and (5) using displays to report test and research data to improve consumer understanding. Authors represent a variety of perspectives and areas of expertise, including instructional psychology, information technology, and research methodologies. The volume is divided into four sections. Section 1 provides a conceptual overview of previous research, as well as the contents of the current volume. Section 2 includes theoretical perspectives on the design and instructional uses of visual displays from major theorists in the field. These chapters discuss ways that visual displays enhance general cognition and information processing. Section 3 provides eight chapters that address the use of visual displays to enhance student learning. These chapters provide examples of how to organize content and use visual displays in a variety of ways in the real and virtual classroom. Section 4 includes three chapters that discuss ways that visual displays may enhance the research process, but especially improved data display.
Over the past century, educational psychologists and researchers have posited many theories to explain how individuals learn, i.e. how they acquire, organize and deploy knowledge and skills. The 20th century can be considered the century of psychology on learning and related fields of interest (such as motivation, cognition, metacognition etc.) and it is fascinating to see the various mainstreams of learning, remembered and forgotten over the 20th century and note that basic assumptions of early theories survived several paradigm shifts of psychology and epistemology. Beyond folk psychology and its naïve theories of learning, psychological learning theories can be grouped into some basic categories, such as behaviorist learning theories, connectionist learning theories, cognitive learning theories, constructivist learning theories, and social learning theories. Learning theories are not limited to psychology and related fields of interest but rather we can find the topic of learning in various disciplines, such as philosophy and epistemology, education, information science, biology, and – as a result of the emergence of computer technologies – especially also in the field of computer sciences and artificial intelligence. As a consequence, machine learning struck a chord in the 1980s and became an important field of the learning sciences in general. As the learning sciences became more specialized and complex, the various fields of interest were widely spread and separated from each other; as a consequence, even presently, there is no comprehensive overview of the sciences of learning or the central theoretical concepts and vocabulary on which researchers rely. The Encyclopedia of the Sciences of Learning provides an up-to-date, broad and authoritative coverage of the specific terms mostly used in the sciences of learning and its related fields, including relevant areas of instruction, pedagogy, cognitive sciences, and especially machine learning and knowledge engineering. This modern compendium will be an indispensable source of information for scientists, educators, engineers, and technical staff active in all fields of learning. More specifically, the Encyclopedia provides fast access to the most relevant theoretical terms provides up-to-date, broad and authoritative coverage of the most important theories within the various fields of the learning sciences and adjacent sciences and communication technologies; supplies clear and precise explanations of the theoretical terms, cross-references to related entries and up-to-date references to important research and publications. The Encyclopedia also contains biographical entries of individuals who have substantially contributed to the sciences of learning; the entries are written by a distinguished panel of researchers in the various fields of the learning sciences.
The adoption of ICT for personal and business use has encouraged the growth of interactive learning as well as its application in a number of education and training scenarios. Designing effective syllabi for interactive learning projects helps to ensure that desired leaning outcomes are achieved without incurring a significant loss of time or money. Educational Stages and Interactive Learning: From Kindergarten to Workplace Training provides a record of current research and practical applications in interactive learning. This book reviews all aspects of interactive learning, investigates the history, status, and future trends of interactive learning, introduces emerging technologies for interactive learning, and analyzes interactive learning cases in various educational stages and learning situations. Readers interested in the technologies and pedagogical applications of interactive learning will find this book a comprehensive reference for the understanding of notions, theories, techniques, and methods related to the research and development of interactive learning.