Self Directed Learning Oriented Assessments In The Asia Pacific

The Asia-Pacific region needs to maximize the benefits of education to enable it to compete in an economic future dominated by innovation, in which assessing student progress must be an empowering rather than delimiting factor. This detailed exposition of the theoretical basis and application tools of self-directed learning-oriented assessment (SLOA) reflects the very latest research championed by the Assessment Research Centre at The Hong Kong Institute of Education. Featuring a range of relevant case studies, it explores the varied theoretical issues related to SLOA and offers an integrated view of the system fully in line with the constructivist paradigm of learning which advocates formative rather than summative assessment. Many of the initiatives outlined here are firsts in the region. SLOA is already being applied in many schools with links to the ARC. It is an approach to assessment that acknowledges the centrality of self-directed learning and which positions assessment as a tool to enable and enhance self-directed learning. It draws on several theories of learning and assessment, including the constructivist notion that learning is best achieved when students take ownership of their educational process, setting their own goals and monitoring their own progress towards those goals. SLOA has been the research and service approach of the ARC since 2005. In the intervening years the centre has developed a number of tools to facilitate SLOA learning and assessment, including vertical ability scales, teacher-friendly computer software and packages for self-directed learning.

This comprehensive handbook is the ultimate reference work, providing authoritative and international overviews of all aspects of schools and schooling in Asia. Split into 19 sections it covers curriculum, learning and assessment, private supplementary tutoring, special education, gender issues, ethnic minority education and LGBTQI students in Asian schools. The volume displays the current state of the scholarship for schools and schooling in Asia including emerging, controversial and cutting-edge contributions using a thematic approach. The content offers a broad sweep of the region with a focus on theoretical, cultural and political issues as well as identifying educational issues and priorities, such as curriculum, assessment, teacher education, school leadership, etc., all of which impact students and learning in multiple ways. The Routledge International Handbook of Schools and Schooling in Asia brings together experts in each area to contribute their knowledge, providing a multidimensional and rich view of the issues confronting the region’s school and education systems.

The term Intelligent Environments (IEs) refers to physical spaces in which IT and other pervasive computing technologies are combined and used to achieve specific goals for the user, the environment, or both. The ultimate objective of IEs is to enrich user experience, improve management of the environment in question and increase user awareness. This book presents the proceedings of the following workshops, which formed part of the 12th International Conference on Intelligent Environments (IE16), held in London, UK, in September 2016: the 5th International Workshop on Smart Offices and Other Workplaces (SOOW’16); the 5th International Workshop on the Reliability of Intelligent Environments (WoRIE’16); the 1st International Workshop on Legal Issues in Intelligent Environments (LIIE’2016); the 2nd International Symposium on Future Intelligent Educational Environments and Learning (SOFIEE’16); the 2nd International Workshop on Future Internet and Smart Networks (FI&SN’2016); the International Workshop on Intelligent Environments Supporting Healthcare and Well-being (WISHWell’2016); the International Workshop on Computation Sustainability, Technologies and Applications (CoSTA’2016); the Creative Science 2016 (CS’16) and Cloud-of-Things 2016 (CoT’16); the Workshop on Wireless Body Area Networks for Personal Monitoring in Intelligent Environments (WBAN-PMIE); and the Physical Computing Workshop. The workshops focused on the development of advanced intelligent environments, as well as newly emerging and rapidly evolving topics, emphasizing the multi-disciplinary and transversal aspects of IEs, as well as cutting-edge topics. The book will be of interest to all those whose work involves them in the use of intelligent environments.

This book discusses the interwoven themes of teacher learning and classroom assessment, highlighting the complexity and intricacy of these processes in a range of very different classroom contexts. The case studies demonstrate how classroom assessment is needed for teachers to learn about teaching and for them to be able to grow professionally and improve student learning. Although this volume is mainly situated in the unique and varied contexts of the Asia-Pacific region, it addresses the key issues of quality teaching, assessment, and accountability in a global context.

The concept of the Self has a long history that dates back from the ancient Greeks such as Aristotle to more contemporary thinkers such as Wundt, James, Mead, Cooley, Freud, Rogers, and Erikson (Tesser & Felson, 2000). Research on the Self relates to a range of phenomena including self-esteem, self-concept, self-protection, self-verification, self-awareness, identity, self-efficacy, self-determination etc. that could be sharply different or very similar. Despite this long tradition of thinkers and the numerous studies conducted on the Self, this concept is still not very well defined. More precisely, it is not a precise object of study, but rather a collection of loosely related subtopics (Baumesiter, 1998). Also, in the philosophical literature, the legitimacy of the concept of “self” has been brought into question. Some authors have argued that the self is not a psychological entity per se, but rather an illusion created by the complex interplay between cognitive and neurological subsystems (Zahavi, 2005). Although no definitive consensus has been reached regarding the Self, we emphasis in this volume that the Self and its related phenomena including self-concept, motivation, and identity are crucial for understanding consciousness and therefore important to understand human behavior. Self-concept, motivation and identity: Underpinning success with research and practice provides thus a unique insight into self-concept and its relationship to motivation and identity from varied theoretical and empirical perspectives. This volume is intended to develop both theoretical and methodological ideas and to present empirical evidence demonstrating the importance of theory and research to effective practice.

This book is devoted to scholarship in the field of self-directed learning in the 21st century, with specific reference to higher education. The target audience of the book includes scholars in the field of self-directed learning and higher education. The book contributes to the discourse on the quality of education in the 21st century and adds to the body of scholarship in terms of self-directed learning, and specifically its role in higher education. Although all the chapters in the book directly address self-directed learning, the different foci and viewpoints raised make the book a rich knowledge bank of work on self-directed learning.

This edited volume fills the gaps in existing literature on visualization and dashboard design for learning analytics. To do so, it presents critical tips to stakeholders and acts as guide to efficient implementation. The book covers the following topics: visualization and dashboard design for learning analytics, visualization and dashboard preferences of stakeholders, learners’ patterns on the dashboard, usability of visualization techniques and the dashboard, dashboard and intervention design, learning and instructional design for learning analytics, privacy and security issues about the dashboard, and future directions of visualization and dashboard design. This book will be of interest to researchers with interest in learning analytics and data analytics, teachers and students in higher education institutions and instructional designers, as it includes contributions from a wide variety of educational and psychological researchers, engineers, instructional designers, learning scientists, and computer scientists interested in learning analytics.