No abstract

We are currently living in the big data era, in which it has become more necessary than ever to develop “smart” schedulers. It is common knowledge that the default Storm scheduler, as well as a large number of static schemes, has presented certain deficiencies. One of the most important of these deficiencies is the weakness in handling cases in which system changes occur. In such a scenario, some type of re-scheduling is necessary to keep the system working in the most efficient way. In this paper, we present a pipeline-based dynamic modular arithmetic-based scheduler (PMOD scheduler), which can be used to re-schedule the streams distributed among a set of nodes and their tasks, when the system parameters (number of tasks, executors or nodes) change. The PMOD scheduler organizes all the required operations in a pipeline scheme, thus reducing the overall processing time.

The COVID-19 pandemic led universities to transform the traditional teaching methodologies into distance education. Therefore, social media has become progressively prominent as teaching and learning resources in universities. Several studies have been conducted for the development of social media as a learning tool. However, there is limited empirical evidence supporting this claim. The present study bridges the gap in the literature concerning the value of the use of social media in higher education. This research seeks to examine the impact of the use of social media in (a) enhancing teaching and learning in universities, (b) motivating and supporting students and (c) developing community connection. A qualitative methodology was adopted. Specifically, in-depth interviews were conducted to assess the effectiveness of social media on students learning in higher education. The results showed that the use of social media by higher educational institutions positively impacts the educational process by (a) promoting teaching and learning, (b) motivating students to be active participants, and (c) establishing connections in the university community. Some obstacles in the teaching and learning process were also identified. Future areas of research are proposed.

The Lisbon European Summit in 2000 has been a milestone in reframing education policies to foster a 'knowledge economy', whilst amid the challenges of the new decennium Lifelong Learning (LLL) has been propounded as a powerful lever for attaining 'sustainable growth'. The present article aims to elucidate the development of an integrated European Union (EU) policy framework for LLL in light of the 'Lisbon' and 'Europe 2020' Strategies. Through a bilevel analysis of policy texts with high political significance representing a point of reference for a given discourse, it seeks to explore trends and identify interrelations between EU LLL policy and emerging challenges within the Union, as well as global socioeconomic mandates that inform contemporary education policy. On the first level, Critical Discourse Analysis was employed, categorizing the data in five main discourse strands. On the second, the data underwent Implicative Statistical Analysis. The results have indicated a substantial shift in the relationship between education and politics, with education assigned a monolithic role in providing for a flexible 'up-to-date' workforce, so as to enable the EU to remain a strong global actor.

The study indicates that the overall results of speech-language impairments in children via the adapted in-Nepalese criterion-referenced instrument are supported by international studies. In addition, justifiable reliability and validity was obtained. Therefore, based on these overall evidence, this instrument can be useful for the screening of speech-language impairments in primary school children in Nepal.

An important as well as challenging task in modern applications is the management and processing with very short delays of large data volumes. It is quite often, that the capabilities of individual machines are exceeded when trying to manage such large data volumes. In this regard, it is important to develop efficient task scheduling algorithms, which reduce the stream processing costs. What makes the situation more difficult is the fact that the applications as well as the processing systems are prone to changes during runtime: processing nodes may be down, temporarily or permanently, more resources may be needed by an application, and so on. Therefore, it is necessary to develop dynamic schedulers, which can effectively deal with these changes during runtime. In this work, we provide a fast and fair task migration policy while maintaining load balancing and low latency times. The experimental results have shown that our scheme offers better load balancing and reduces the overall latency compared to the state of the art strategies, due to the stepwise communication and the pipeline based processing it employs.

No abstract

The European Foundation Quality Management (EFQM) is a very well known model whose instrument deals with the assessment of function of an organization/ university. In this study EFQM model of excellence is used in order to evaluate Greek higher education. Analyse Factorielle des Correspondence was used for the data to be analysed. The results reveal the real situation in the Greek Educational system and its advantages and disadvantages are exposed. The sample consists of 1000 Greek teachers from Primary and Secondary Education, who showed negative or neutral attitude toward the quality of Greek Education system. Consequently Greek education system seems to have a lot to do in order to be improved and meet the quality standards that Greek teachers may expect.