Towards a generic platform for developing CSCL applications using Grid infrastructure

The goal of this paper is to explore the possibility of using CSCL component-based software under a Grid infrastructure. The merge of these technologies represents an attractive, but probably quite laborious enterprise if we consider not only the benefits but also the barriers that we have to overcome. This work presents an attempt toward this direction by developing a generic platform of CSCL components and discussing the advantages that we could obtain if we adapted it to the Grid. We then propose a means that could make this adjustment possible due to the high degree of genericity that our library component is endowed with by being based on the generic programming paradigm. Finally, an application of our library is proposed both for validating the adequacy of the platform which it is based on and for indicating the possibilities gained by using it under the Grid.Peer ReviewedPostprint (published version

The Impact of Cultural Familiarity on Students’ Social Media Usage in Higher Education

Using social media (SM) in Higher education (HE) becomes unavoidable in the new teaching and learning pedagogy. The current generation of students creates their groups on SM for collaboration. However, SM can be a primary source of learning distraction due to its nature, which does not support structured learning. Hence, derived from the literature, this study proposes three learning customised system features, to be implemented on SM when used in Higher Education HE. Nevertheless, some psychological factors appear to have a stronger impact on students’ adoption of SM in learning than the proposed features. A Quantitative survey was conducted at a university in Uzbekistan to collect 52 undergraduate students’ perception of proposed SM learning customised features in Moodle. These features aim to provide localised, personalised, and privacy control self-management environment for collaboration in Moodle. These features could be significant in predicting students’ engagement with SM in HE. The data analysis showed a majority of positive feedback towards the proposed learning customised SM. However, the surveyed students’ engagement with these features was observed as minimal. The course leader initiated a semi-structured interview to investigate the reason. Although the students confirmed their acceptance of the learning customised features, their preferences to alternate SM, which is Telegram overridden their usage of the proposed learning customized SM, which is Twitter. The students avoided the Moodle integrated Twitter (which provided highly accepted features) and chose to use the Telegram as an external collaboration platform driven by their familiarity and social preferences with the Telegram since it is the popular SM in Uzbekistan. This study is part of an ongoing PhD research which involves deeper frame of learners’ cognitive usage of the learning management system. However, this paper exclusively discusses the cultural familiarity impact of student’s adoption of SM in HE

Attributes of Big Data Analytics for Data-Driven Decision Making in Cyber-Physical Power Systems

Big data analytics is a virtually new term in power system terminology. This concept delves into the way a massive volume of data is acquired, processed, analyzed to extract insight from available data. In particular, big data analytics alludes to applications of artificial intelligence, machine learning techniques, data mining techniques, time-series forecasting methods. Decision-makers in power systems have been long plagued by incapability and weakness of classical methods in dealing with large-scale real practical cases due to the existence of thousands or millions of variables, being time-consuming, the requirement of a high computation burden, divergence of results, unjustifiable errors, and poor accuracy of the model. Big data analytics is an ongoing topic, which pinpoints how to extract insights from these large data sets. The extant article has enumerated the applications of big data analytics in future power systems through several layers from grid-scale to local-scale. Big data analytics has many applications in the areas of smart grid implementation, electricity markets, execution of collaborative operation schemes, enhancement of microgrid operation autonomy, management of electric vehicle operations in smart grids, active distribution network control, district hub system management, multi-agent energy systems, electricity theft detection, stability and security assessment by PMUs, and better exploitation of renewable energy sources. The employment of big data analytics entails some prerequisites, such as the proliferation of IoT-enabled devices, easily-accessible cloud space, blockchain, etc. This paper has comprehensively conducted an extensive review of the applications of big data analytics along with the prevailing challenges and solutions

Pathways to Grow Impact: Philanthropy's Role in the Journey

Since 2010, through the "Scaling What Works" initiative, GEO has fostered a conversation about scale that considers a variety of ways nonprofits are creating more value for communities and how funders are supporting their work. GEO's newest publication, "Pathways to Grow Impact", shares new learning about the role grantmakers should play. The publication is the result of a collaborative project with Ashoka, Social Impact Exchange, Taproot Foundation and TCC Group that sought to answer the question: How can grantmakers best support high-performing nonprofits in their efforts to grow their impact? "Pathways to Grow Impact" is for any grantmaker who wants his or her grant dollars to have a greater effect. The publication offers a framework for understanding different approaches to scaling impact, stories from nonprofit leaders who have successfully grown their organizations' impact, and practical recommendations for grantmakers seeking more effective ways to achieve better results

Steering Capital: Optimizing Financial Support for Innovation in Public Education

Examines efforts to align capital to education innovation and calls for clarity and agreement on problems, goals, and metrics; an effective R&D system; an evidence-based culture of continuous improvement; and transparent, comparable, and useful data

Beyond the Grant: How the W. K. Kellogg Foundation Went Beyond Grantmaking to Contribute to a Major Early Childhood Initiative

· The seven-year SPARK (Supporting Partnerships to Assure Ready Kids) initiative, created by the W. K. Kellogg Foundation (WKKF), aimed at systemically linking the pre-K and kindergarten worlds as a way to position vulnerable children for greater success in the early grades. · At the foundation, the initiative served as a departure point for WKKF to move from its traditional grantmaking role to a changemaker role. · To create change, a foundation must articulate – and commit to – a point of view about how change can occur. A theory of change can be a powerful tool to guide ongoing planning and action. · A foundation that intends to create change must be prepared to take responsibility for results and create the internal structures that promote accountability and collaboration. The nature of the SPARK effort called for abandoning the silos of portfolio management and developing a new collaborative approach. · Foundations must be prepared to advocate for change, and bring their visibility, credibility, knowledge, and convening power to it