Shalin Hai-Jew Knihy

Focusing on the profiling of learners, this scholarly resource explores methods to tailor educational experiences to diverse target groups. It examines both static and dynamic profiling techniques to enhance learning opportunities and accommodations. The book addresses critical themes like diversity, curriculum design, and the integration of creative teaching strategies, making it a valuable resource for educators, instructional designers, and policymakers aiming to improve both online and offline learning experiences.

Focusing on the integration of visual design in e-learning, this collection presents innovative research aimed at enhancing instructional design and deployment. It addresses the challenges educators face in adapting to online teaching by exploring visual planning methods, image curation, and textual thinking. The book serves as a valuable resource for a wide audience, including instructional designers, researchers, and students, seeking to improve learning environments through effective visual strategies in the evolving landscape of education.

1 Understanding the Open Sharing Learning Environment Online and Local Starts.- 2 Profiling Target and Potential Learners Today and into the Future.- 3 Thinking about the Learning Design: Theories, Models, Frameworks, and Heuristics.- 4 Street Legal Open-Shared Learning.- 5 Core Technology Considerations: Equipment, Authoring Tools, Digital Editing Tools, and Hosting Platforms.- 6 Establishing and Applying Contemporaneous E-Learning Standards: Evolving Stylebooks and Planning Work.- 7 Early Designs, Prototypes, and Learning Sequences for Exploration and Decision Making.- 8 Content Development (with Work Documentation).- 9 Alpha Testing, Beta Testing, and Customized Testing.- 10 Open Sharing: Launching, Outreach, Publicity, Usage Monitoring, and Post-Launch Care.- 11 Some Possible Futures of Openly Sharing Learning.

This book covers computationally innovative methods and technologies including data collection and elicitation, data processing, data analysis, data visualizations, and data presentation. It explores how digital humanists have harnessed the hypersociality and social technologies, benefited from the open-source sharing not only of data but of code, and made technological capabilities a critical part of humanities work. Chapters are written by researchers from around the world, bringing perspectives from diverse fields and subject areas. The respective authors describe their work, their research, and their learning. Topics include semantic web for cultural heritage valorization, machine learning for parody detection by classification, psychological text analysis, crowdsourcing imagery coding in natural disasters, and creating inheritable digital codebooks. Designed for researchers and academics, this book is suitable for those interested in methodologies and analytics that can be applied in literature, history, philosophy, linguistics, and related disciplines. Professionals such as librarians, archivists, and historians will also find the content informative and instructive.