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.

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.

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

"The book provides A guidelines approach on how to implement the proposed theory and tools in e-learning programs"--Provided by publisher.

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.

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.