Intergenerational Education for Social Inclusion and Solidarity: The Case Study of the EU Funded Project "Connecting Generations"

This paper reflects on lessons learned from a validated model of international collaboration based on research and practice. During the European Year for Active Ageing, a partnership of seven organizations from the European Union plus Turkey implemented the Lifelong Learning Programme partnership “Connecting Generations‘ which involved universities, non-governmental organizations, third age Universities and municipalities in collaboration with local communities. Reckoning that Europe has dramatically changed in its demographic composition and is facing brand new challenges regarding intergenerational and intercultural solidarity, each partner formulated and tested innovative and creative practices that could enhance better collaboration and mutual understanding between youth and senior citizens, toward a more inclusive Europe for all. Several innovative local practices have experimented, attentively systematized and peer-valuated among the partners. On the basis of a shared theoretical framework coherent with EU and Europe and Training 2020 Strategy, an action-research approach was adopted throughout the project in order to understand common features that have been replicated and scaled up since today

THE "POWER" OF TEXT PRODUCTION ACTIVITY IN COLLABORATIVE MODELING : NINE RECOMMENDATIONS TO MAKE A COMPUTER SUPPORTED SITUATION WORK

Language is not a direct translation of a speaker’s or writer’s knowledge or intentions. Various complex processes and strategies are involved in serving the needs of the audience: planning the message, describing some features of a model and not others, organizing an argument, adapting to the knowledge of the reader, meeting linguistic constraints, etc. As a consequence, when communicating about a model, or about knowledge, there is a complex interaction between knowledge and language. In this contribution, we address the question of the role of language in modeling, in the specific case of collaboration over a distance, via electronic exchange of written textual information. What are the problems/dimensions a language user has to deal with when communicating a (mental) model? What is the relationship between the nature of the knowledge to be communicated and linguistic production? What is the relationship between representations and produced text? In what sense can interactive learning systems serve as mediators or as obstacles to these processes

TheEffects of Decision Aid Recommendations on Users’ Cognitive Processes, Memories, and Judgments

This study extends the existing decision aid literature by examining the influence of decision aid recommendations on users’ memories, decision processes, and judgments. Existing research suggests that decision aids can be beneficial in a variety of settings. Judgments or decisions, the outputs of the decision- making process, are the focus of most of the decision aid research. This study offers a more comprehensive investigation of the impact of decision aids by examining both the outputs of the decision-making process and the inputs and processes that lead to judgment and decision-making. An experiment is conducted that examines the influence of decision aid recommendations on memory patterns, search, cue usage, and judgments. Specifically, the study focuses on how positive and negative decision aid recommendations and the timing of receipt of the decision aid recommendation differentially affect these components of the decision process. The key findings of the research are: (1) decision aid recommendations create strong affective responses that are encoded in memory and cause users to reconstruct memories of financial data to be consistent with the affective response, (2) receiving a decision aid recommendation at the start of a task creates a strong initial response that acts as an initial hypothesis wherein users’ subsequent information search patterns exhibit a confirming bias, (3) receiving a decision aid recommendation later in the task creates a strong response that initiates professional skepticism and causes users’ subsequent information search patterns to exhibit a disconfirming bias, (4) decision aid recommendations influence the choice of information cues users believe to be important, (5) decision aid recommendations exert influence on users’ judgments, with the amount of influence diminishing as additional information is received, and (6) working memory capacity is a determinant in the ability to recall financial information but does not determine the extent of influence decision aid recommendations have on users. These findings, when considered together, validate the need for a more complete examination of how decision aids impact the entire decision-making process to identify potential negative consequences in addition to proposed benefits. This research demonstrates that task structure can be manipulated to mitigate certain undesirable consequences of decision aid use

HPC Cloud for Scientific and Business Applications: Taxonomy, Vision, and Research Challenges

High Performance Computing (HPC) clouds are becoming an alternative to on-premise clusters for executing scientific applications and business analytics services. Most research efforts in HPC cloud aim to understand the cost-benefit of moving resource-intensive applications from on-premise environments to public cloud platforms. Industry trends show hybrid environments are the natural path to get the best of the on-premise and cloud resources---steady (and sensitive) workloads can run on on-premise resources and peak demand can leverage remote resources in a pay-as-you-go manner. Nevertheless, there are plenty of questions to be answered in HPC cloud, which range from how to extract the best performance of an unknown underlying platform to what services are essential to make its usage easier. Moreover, the discussion on the right pricing and contractual models to fit small and large users is relevant for the sustainability of HPC clouds. This paper brings a survey and taxonomy of efforts in HPC cloud and a vision on what we believe is ahead of us, including a set of research challenges that, once tackled, can help advance businesses and scientific discoveries. This becomes particularly relevant due to the fast increasing wave of new HPC applications coming from big data and artificial intelligence.Comment: 29 pages, 5 figures, Published in ACM Computing Surveys (CSUR

Portmerion, Proportion and Perspective

The holiday village of Portmerion was created by Bertram Clough Williams-Ellis (1883 1978) over a period of fifty-one years, starting in 1926. It was grade II listed in 1971. However, Portmerion has become a part of western popular culture rather than of mainstream architectural history. Its use as the setting for the cult 1967 television series “The Prisoner” ensures continued worldwide interest and a constant stream of visitors. Williams Ellis’ design methods were empirical, initial designs being adjusted by eye on site in close collaboration with trusted builders. This paper analyses the development of Portmerion as a gesamtkunstwerk; considering the experience of movement through the village as a dynamic composition of shifting vistas, focussing the visitor on a series of constructed views. Through this analysis, Portmerion is revealed as both a manifestation of the architecture of pleasure and an exercise in the pleasure of architecture

Improving Online Education Using Big Data Technologies

In a world in full digital transformation, where new information and communication technologies are constantly evolving, the current challenge of Computing Environments for Human Learning (CEHL) is to search the right way to integrate and harness the power of these technologies. In fact, these environments face many challenges, especially the increased demand for learning, the huge growth in the number of learners, the heterogeneity of available resources as well as the problems related to the complexity of intensive processing and real-time analysis of data produced by e-learning systems, which goes beyond the limits of traditional infrastructures and relational database management systems. This chapter presents a number of solutions dedicated to CEHL around the two big paradigms, namely cloud computing and Big Data. The first part of this work is dedicated to the presentation of an approach to integrate both emerging technologies of the big data ecosystem and on-demand services of the cloud in the e-learning field. It aims to enrich and enhance the quality of e-learning platforms relying on the services provided by the cloud accessible via the internet. It introduces distributed storage and parallel computing of Big Data in order to provide robust solutions to the requirements of intensive processing, predictive analysis, and massive storage of learning data. To do this, a methodology is presented and applied which describes the integration process. In addition, this chapter also addresses the deployment of a distributed e-learning architecture combining several recent tools of the Big Data and based on a strategy of data decentralization and the parallelization of the treatments on a cluster of nodes. Finally, this article aims to develop a Big Data solution for online learning platforms based on LMS Moodle. A course recommendation system has been designed and implemented relying on machine learning techniques, to help the learner select the most relevant learning resources according to their interests through the analysis of learning traces. The realization of this system is done using the learning data collected from the ESTenLigne platform and Spark Framework deployed on Hadoop infrastructure

THE IMPORTANCE OF WORKING MEMORY IN ACQUIRING SECOND LANGUAGE (L2)

This paper highlights the importance of short term memory and its roles in linking the information acquired from sensory memory into long term memory. Short term-memory, also known as working memory, has significant contribution to transfer information as it is the location where many forms of complex thinking such as problem solving, contemplation, and language comprehension occur. In addition, the instrumental role of working memory in the acquisition of second language will be discussed