Integrating Web 2.0 technologies with scientific simulation codes for real-time collaboration

Abstract—This paper motivates how collaborative tools are needed to support modern computational science, using the case study of a distributed team of numerical relativists developing and running codes to model black holes and other astrophysical objects. We describe a summary of previous tools developed within the collaboration, and how they are integrated and used with their simulation codes which are built using the Cactus Framework. We also describe new Cactus tools which use the Twitter and Flickr services. These tools are fundamentally integrated with the code base as Cactus modules and provide reliable, real-time information about simulations that can be easily shared across a collaboration. I

Decoding learning: the proof, promise and potential of digital education

With hundreds of millions of pounds spent on digital technology for education every year – from interactive whiteboards to the rise of one–to–one tablet computers – every new technology seems to offer unlimited promise to learning. many sectors have benefitted immensely from harnessing innovative uses of technology. cloud computing, mobile communications and internet applications have changed the way manufacturing, finance, business services, the media and retailers operate. But key questions remain in education: has the range of technologies helped improve learners’ experiences and the standards they achieve? or is this investment just languishing as kit in the cupboard? and what more can decision makers, schools, teachers, parents and the technology industry do to ensure the full potential of innovative technology is exploited? There is no doubt that digital technologies have had a profound impact upon the management of learning. institutions can now recruit, register, monitor, and report on students with a new economy, efficiency, and (sometimes) creativity. yet, evidence of digital technologies producing real transformation in learning and teaching remains elusive. The education sector has invested heavily in digital technology; but this investment has not yet resulted in the radical improvements to learning experiences and educational attainment. in 2011, the Review of Education Capital found that maintained schools spent £487 million on icT equipment and services in 2009-2010. 1 since then, the education system has entered a state of flux with changes to the curriculum, shifts in funding, and increasing school autonomy. While ring-fenced funding for icT equipment and services has since ceased, a survey of 1,317 schools in July 2012 by the british educational suppliers association found they were assigning an increasing amount of their budget to technology. With greater freedom and enthusiasm towards technology in education, schools and teachers have become more discerning and are beginning to demand more evidence to justify their spending and strategies. This is both a challenge and an opportunity as it puts schools in greater charge of their spending and use of technolog

Using Technology to Facilitate Modeling-Based Science Education: Lessons Learned from a Meta-analysis of Empirical Research

This study focused on the integration of technologies in regular science teaching within the pedagogical framework of modeling-based instruction (MBI), a well-established instructional method in science education, and aimed to identify new trends of technology integration in MBI, explore the particular features (Interactivity, Collaboration, and Scaffolding) and affordances of new technologies, and examine the effect of technology-supported MBI on students learning outcomes. By analyzing empirical MBI studies from 2000 to 2010 through a meta-analysis and qualitatively reviewing studies from 2011-2016, this study shared three major findings: (1) computer-based software was the most commonly used technology in MBI, with Internet and mobile technologies rarely used, thus indicating an alarming gap between technology advancement and its integration in education; (2) the majority of technologies used in MBI were considered highly-interactive, but collaborative and scaffolding features of MBI technologies were rarely discussed in MBI literature; (3) technology-supported MBI had an overall much higher effect size on students’ science learning performance. Implications and suggestions for future research were also discussed