New generation E-learning technology by Web Services.

This paper discusses a new approach to build infrastructures for E-Learning systems for Learning Software Organizations on the basis of Web Services. A requirements context is developed to determine which type of E-Learning applications that can be Web Service Enabled. This is illustrated with a case study on an Encapsulated Software Teaching Environment. Additional facilities, such as didactical agents and deep personalization to facilitate Learning Software Organizations are discussed at the end.

The Emergency Price Control Act of 1942: Basic Authority and Sanctions

Fast pace of change in the business of technology is the reality of many organizations today. The software development industry is one example where this nature is prominent. Companies need to adapt in ways that eases the persistence against change from external forces. Companies need to turn into Learning Organizations as these help people and organizations embrace change. Two key components of the Learning Organization are the teams, as they are considered to be the fundamental units of organizations, and managers, as they have the biggest impact on facilitating learning in the organization. Therefore, this study has investigated how managers could act to create conditions for encouraging team learning of a software development company to become a Learning Organization.   This has been done by conducting a case study at the company Ericsson in Kista, Sweden, who is market leaders within the software development industry. The case design consisted of a two phase method that included both a quantitative and qualitative data collection method.   The results indicate that Ericsson could be classified as a Learning Organization and in addition display promising characteristics when it comes to having team learning capabilities. Furthermore, the findings suggest that in order for managers to encourage team learning they should take on a coaching and supporting role to understand the need of the teams; challenge the status quo; empower teams through giving them mandate; allocate time for learning as an integral part of the daily work; and reward learning in teams.   The findings of this study have implications both in a theoretical aspect and a sustainability aspect. From the theoretical aspect, the findings provide with further empirical data in a field that is currently dominated by theoretical literature. Furthermore, the findings display a practical example of how managers of a market leading company with promising characteristics of team learning capabilities have acted to create such conditions. From a sustainability aspect, the results of this study give firms a sustainable competitive advantage through increased business performance, healthy labor conditions that are a result of healthy team dynamics and possible encouragement to future attention towards emphasis on environmental aspects

E-learning standards

E-learning standards refer to a system of common rules for content, authoring software and Learning Management Systems (LMSs) - rules that specify how courses can be created and delivered over multiple platforms so that they all operate seamlessly together. Accredited standards ensure that the investment in time and intellectual capital could move from one system to the next. Currently, e-learning standards are being developed by four main organizations: AICC, IEEE, IMS, and ADL. The article presents some aspects of these standards.E-learning, standards.

MLPerf Inference Benchmark

Machine-learning (ML) hardware and software system demand is burgeoning. Driven by ML applications, the number of different ML inference systems has exploded. Over 100 organizations are building ML inference chips, and the systems that incorporate existing models span at least three orders of magnitude in power consumption and five orders of magnitude in performance; they range from embedded devices to data-center solutions. Fueling the hardware are a dozen or more software frameworks and libraries. The myriad combinations of ML hardware and ML software make assessing ML-system performance in an architecture-neutral, representative, and reproducible manner challenging. There is a clear need for industry-wide standard ML benchmarking and evaluation criteria. MLPerf Inference answers that call. In this paper, we present our benchmarking method for evaluating ML inference systems. Driven by more than 30 organizations as well as more than 200 ML engineers and practitioners, MLPerf prescribes a set of rules and best practices to ensure comparability across systems with wildly differing architectures. The first call for submissions garnered more than 600 reproducible inference-performance measurements from 14 organizations, representing over 30 systems that showcase a wide range of capabilities. The submissions attest to the benchmark's flexibility and adaptability.Comment: ISCA 202

Assessment of Generic Skills through an Organizational Learning Process Model

This contribution has been published in this repository with the permission of the publisher. This contribution was presented in WEBIST 2018 (http://www.webist.org/?y=2018) and has been published by SCITEPRESS in http://www.scitepress.org/PublicationsDetail.aspx?ID=y9Yt0eHt02o=&.The performance in generic skills is increasingly important for organizations to succeed in the current competitive environment. However, assessing the level of performance in generic skills of the members of an organization is a challenging task, subject to both subjectivity and scalability issues. Organizations usually lay their organizational learning processes on a Knowledge Management System (KMS). This work presents a process model to support managers of KMSs in the assessment of their individuals’ generic skills. The process model was deployed through an extended version of a learning management system. It was connected with different information system tools specifically developed to enrich its features. A case study with Computer Science final-year students working in a software system was conducted following an authentic learning approach, showing promising results.Visaigle Project (grant TIN2017-85797-R)

Operating System Development Based on Open Source Software in Online Learning Systems

Abstract—During the Covid-19 pandemic, all learning activities were carried out online. Many learning media and software are used in online learning. One of them is the Open Source Operating System which is currently widely used in online learning systems. This makes the operating system much attention by the world of education, researchers, government organizations, individuals, even large software companies such as Google and others who are very interested in developing Open Source software, especially the Linux Operating System. This makes the authors interested in knowing how to develop an operating system based on open source software in online learning systems and disseminate the use of open source software to the public