168,654 research outputs found

    ACCESS: An Inception Report

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    Imagine a world in which all groups of citizens coming together to realize some public benefit measure and communicate the character and consequences of their work. Imagine further that all those groups have adopted a common reporting system that enables their individual reports to be compared, thus creating powerful descriptions of the relative and collective performance of citizen association for public benefit. Imagine, too, that this common measuring and reporting carries across to all forms of public-private partnership and corporate social responsibility. This is the world envisioned by ACCESS.For the past 18 months a growing number of concerned actors have been meeting, studying, and testing opinion around one of the great structural weaknesses in the world's institutional infrastructure -- inefficient and weak social investment markets. This inception report sets out the results of this enquiry in the form of a proposal to establish a reporting standard for nonprofit organizations seeking to produce social, environmental and, increasingly, financial returns. The ACCESS Reporting standard is one important contribution to redressing a major global system weakness, but it is certainly not the only one. Nor is it one that can operate in isolation from other initiatives. Accordingly, the ACCESS proposed plan of work involves convening a global dialogue on NGO transparency, accountability and performance with the objective of promoting ACCESS and other practical solutions to the challenges of social investment and civil society accountability.This report sets out the background and rationale for these proposals. You will meet the ACCESS sponsors and pilot project partners. Parts of the report are descriptive and analytical but other parts are necessarily theoretical and technical in nature. We make no apology for this. Part of the reason that in 2003 the world does not yet have a reporting standard for social actors is that the theory and technique have not been mastered. For those with a strong orientation toward strategy and action, however, these aspects are presented as well

    21st Century Ergonomic Education, From Little e to Big E

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    Despite intense efforts, contemporary educational systems are not enabling individuals to function optimally in modern society. The main reason is that reformers are trying to improve systems that are not designed to take advantage of the centuries of history of the development of today's societies. Nor do they recognize the implications of the millions of years of history of life on earth in which humans are the latest edition of learning organisms. The contemporary educational paradigm of "education for all" is based on a 17th century model of "printing minds" for passing on static knowledge. This characterizes most of K-12 education. In contrast, 21st Century education demands a new paradigm, which we call Ergonomic Education. This is an education system that is designed to fit the students of any age instead of forcing the students to fit the education system. It takes into account in a fundamental way what students want to learn -- the concept "wanting to learn" refers to the innate ability and desire to learn that is characteristic of humans. The Ergonomic Education paradigm shifts to education based on coaching students as human beings who are hungry for productive learning throughout their lives from their very earliest days.Comment: plain latex, 13 pages, 1 tabl

    Team Learning, Development, and Adaptation

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    [Excerpt] Our purpose is to explore conceptually these themes centered on team learning, development, and adaptation. We note at the onset that this chapter is not a comprehensive review of the literature. Indeed, solid conceptual and empirical work on these themes are sparse relative to the vast amount of work on team effectiveness more generally, and therefore a thematic set of topics that are ripe for conceptual development and integration. We draw on an ongoing stream of theory development and research in these areas to integrate and sculpt a distinct perspective on team learning, development, and adaptation

    Student-Centered Learning: Functional Requirements for Integrated Systems to Optimize Learning

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    The realities of the 21st-century learner require that schools and educators fundamentally change their practice. "Educators must produce college- and career-ready graduates that reflect the future these students will face. And, they must facilitate learning through means that align with the defining attributes of this generation of learners."Today, we know more than ever about how students learn, acknowledging that the process isn't the same for every student and doesn't remain the same for each individual, depending upon maturation and the content being learned. We know that students want to progress at a pace that allows them to master new concepts and skills, to access a variety of resources, to receive timely feedback on their progress, to demonstrate their knowledge in multiple ways and to get direction, support and feedback from—as well as collaborate with—experts, teachers, tutors and other students.The result is a growing demand for student-centered, transformative digital learning using competency education as an underpinning.iNACOL released this paper to illustrate the technical requirements and functionalities that learning management systems need to shift toward student-centered instructional models. This comprehensive framework will help districts and schools determine what systems to use and integrate as they being their journey toward student-centered learning, as well as how systems integration aligns with their organizational vision, educational goals and strategic plans.Educators can use this report to optimize student learning and promote innovation in their own student-centered learning environments. The report will help school leaders understand the complex technologies needed to optimize personalized learning and how to use data and analytics to improve practices, and can assist technology leaders in re-engineering systems to support the key nuances of student-centered learning

    ORGANIZATIONAL STRUCTURE IN PROCESS-BASED ORGANIZATIONS

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    This paper investigates the role of the organization structure in process-based organizations. We argue that companies cannot be designed upon organizational processes only or that process management can be simply imposed as an additional structural dimension on top of the existing functional or product dimension. It is more promising to consider process-based companies as organizations with a multidimensional structure with process ownership as a dominant dimension. The paper focuses on a number of consequences of the implementation of process-based organization structures. First, the complementary role of different types of processes is clarified. Second, we focus on the question how processes can be translated into the design of organizational units. Two key ideas underpin a process-based organizational structure. First, organizational units are organized around core processes. Second, other processes are added to these units minimizing the necessity of cross-unit coordination. This has several implications for planning and control activities and the way how process-based business units fit together to create a performing corporation. The latter can no longer be conceived within the traditional strategy- structure paradigm because of the fundamentally different role of middle and top managers.management and organization theory ;

    Mapping Big Data into Knowledge Space with Cognitive Cyber-Infrastructure

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    Big data research has attracted great attention in science, technology, industry and society. It is developing with the evolving scientific paradigm, the fourth industrial revolution, and the transformational innovation of technologies. However, its nature and fundamental challenge have not been recognized, and its own methodology has not been formed. This paper explores and answers the following questions: What is big data? What are the basic methods for representing, managing and analyzing big data? What is the relationship between big data and knowledge? Can we find a mapping from big data into knowledge space? What kind of infrastructure is required to support not only big data management and analysis but also knowledge discovery, sharing and management? What is the relationship between big data and science paradigm? What is the nature and fundamental challenge of big data computing? A multi-dimensional perspective is presented toward a methodology of big data computing.Comment: 59 page
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