NMC horizon report: 2014 K-12 edition

The internationally recognized NMC Horizon Report series and regional NMC Technology Outlooks are part of the NMC Horizon Project, a comprehensive research venture established in 2002 that identifies and describes key trends, significant challenges, and emerging technologies likely to have a large impact over the coming five years in education around the globe. This volume, the NMC Horizon Report > 2014 K-12 Edition will examines emerging technologies for their potential impact on and use in teaching, learning, and creative inquiry within the environment of pre-college education. The NMC Horizon Report > 2014 K-12 Edition is the sixth in the K-12 series of reports and is produced by the NMC in collaboration with the Consortium for School Networking (CoSN), and made possible via the support of HP. View the work that produced the report at k12.wiki.nmc.org

Horizon Report Europe - 2014 Schools Edition

The NMC Horizon Project from the New Media Consortium is a long-term investigation launched in 2002 that identifies and describes emerging technologies likely to have a large impact over the coming five years in education around the globe. The NMC Horizon Report Europe: 2014 Schools Edition, the first of its kind for Europe, examines six key trends, six significant challenges and six important developments in educational technology that are very likely to impact educational change processes in European schools over the next five years (2014-2018). The topics within each section were carefully selected by the Horizon Project Europe Expert Panel, a body of 53 experts in European education, technology, and other fields. They come from 22 European countries, as well as international organisations and European networks. Throughout the report, references and links are made to more than 150 European publications (reports, articles, policy documents, blog posts etc.), projects (both EU-funded and national initiatives) and various policy initiatives from all over Europe. The Creative Classrooms multidimensional framework, developed by European Commission’s JRC-IPTS on behalf of DG EAC, was used for analysing the trends, challenges and technologies impacting European schools over the next five years. The analysis reveals that a systemic approach is needed for integrating new technologies in European schools and impacting educational change over the next five years.JRC.J.3-Information Societ

An Integrated Model of Business Intelligence & Analytics Capabilities and Organizational Performance

Organizations can leverage business intelligence and analytics (BI&A) to transform themselves through a holistic integration process. Contrary to this proposition, many organizations implement BI&A without aligning or integrating it with organizational strategies. Some implement BI&A in a very ad hoc manner without any plans to leverage it. From a research point of view, we lack an integrated framework that can inform both academics and practitioners about adroit applications with business intelligence and analytics capabilities in organizations. We examine what significant BI&A capabilities organizations need to create value from BI&A. We conceptualize second-order constructs that affect the BI&A value-creation process: innovation infrastructure capability, customer process capability, business-to-business (B2B) process capability, and integration capability. We propose that these higher-order BI&A capabilities influence organizational performance through BI&A effectiveness’s the mediation effect. We developed a questionnaire instrument and collected data from 154 firms in India. Partial least squares analysis provides broad support for our hypotheses. Our contributions include identifying and empirically assessing key BI&A capabilities that directly impact how effectively an organization implements BI&A

Big Data Coordination Platform: Full Proposal 2017-2022

This proposal for a Big Data and ICT Platform therefore focuses on enhancing CGIAR and partner capacity to deliver big data management, analytics and ICT-focused solutions to CGIAR target geographies and communities. The ultimate goal of the platform is to harness the capabilities of Big Data to accelerate and enhance the impact of international agricultural research. It will support CGIAR’s mission by creating an enabling environment where data are expertly managed and used effectively to strengthen delivery on CGIAR SRF’s System Level Outcome (SLO) targets. Critical gaps were identified during the extensive scoping consultations with CGIAR researchers and partners (provided in Annex 8). The Platform will achieve this through ambitious partnerships with initiatives and organizations outside CGIAR, both upstream and downstream, public and private. It will focus on promoting CGIAR-wide collaboration across CRPs and Centers, in addition to developing new partnership models with big data leaders at the global level. As a result, CGIAR and partner capacity will be enhanced, external partnerships will be leveraged, and an institutional culture of collaborative data management and analytics will be established. Important international public goods such as new global and regional datasets will be developed, alongside new methods that support CGIAR to use the data revolution as an additional means of delivering on SLOs

Identifying Bridge Users: the Knowledge Transfer Agents in Enterprise Collaboration Systems

In recent years enterprise collaboration systems (ECS) integrated with social network capabilities have become popular tools for supporting knowledge management (KM) strategies and organizational learning. Increased usage has resulted in higher interest in understanding and classifying the roles that ECS users adopt online. Previous research has investigated user role identification by considering: the degree of participation in an ECS, the user interactions with shared content, the user role in the ECS network, and the user KM-role observed within an interaction. Although all of these factors provide insights into ECS user engagement, they fail to fully consider the knowledge sharing perspective. In this paper, we define bridge users within the context of KM and present a framework for identifying them using semantic analysis of user-generated content. Further, we present results and observations from tests of our pipeline on the ECS of a large multinational engineering company with more than 100k users