Evaluation of the Effectiveness of a Diabetes Managment Training Program for Unlicensed Assistive Personnel in Schools

This study evaluated the diabetes management-training program for unlicensed assistive personnel (UAP). The purpose of the program was to prepare UAP to recognize and respond to the health care needs of students diagnosed with diabetes mellitus. Twenty UAP participated. Teaching strategies were based on Albert Bandura\u27 s social learning theory~ Two instruments were administered before and after the program. One was a 1 0-question survey addressing self-efficacy; the other was a 10 question multiple-choice test measuring knowledge of diabetes. Results of paired t tests indicate consistent and significant improvement in both perceptions of self-efficacy and knowledge (p \u3c .05). This program provides a framework for school nurses training UAP that assist in the health care of students with diabetes. It is important that school nurses capitalize on the contribution that informed confident UAP might contribute to the provision of safe quality care to students with diabetes

A utilização de ERP em contexto de Ensino Superior

Enterprise Resource Planning (ERP) systems are the corner stone of organizational information systems. ERP usage in higher education is an opportunity that universities have undertaken to achieve students' performance, employment, satisfaction, and align with the labor market. This paper evaluates if the usage of an ERP in higher education context improves the management learning nearer to the market requisites. To perform this evaluation, it was developed a syllabus plan aiming to provide a solid theoretical background on organizational information systems and also providing interaction with a real ERP in classes. Followed by a qualitative study method to infer the students' knowledge on management key concepts and ERP usage in general.info:eu-repo/semantics/acceptedVersio

Multiple Retrieval Models and Regression Models for Prior Art Search

This paper presents the system called PATATRAS (PATent and Article Tracking, Retrieval and AnalysiS) realized for the IP track of CLEF 2009. Our approach presents three main characteristics: 1. The usage of multiple retrieval models (KL, Okapi) and term index definitions (lemma, phrase, concept) for the three languages considered in the present track (English, French, German) producing ten different sets of ranked results. 2. The merging of the different results based on multiple regression models using an additional validation set created from the patent collection. 3. The exploitation of patent metadata and of the citation structures for creating restricted initial working sets of patents and for producing a final re-ranking regression model. As we exploit specific metadata of the patent documents and the citation relations only at the creation of initial working sets and during the final post ranking step, our architecture remains generic and easy to extend

Análisis de la literatura científica sobre los cursos en línea abiertos y masivos (MOOC)

Massive Open Online Courses (MOOCs) have been gaining attention from Academy by the disruptive innovation with which technology is brought into the educational system. Due to the emergence of the theme, the area needs recent bibliometric studies that point at previous studies about it and indicate directions for further research. Therefore, this study aims to map MOOC researches on published until December 2014 in two scientific databases: Scopus and Web of Science. Relevant aspects of scientific literature on MOOCs were explored from the collected data such as: (i) the number of publications per year; (ii) mapping of the institutions; (iii) authors with the most publications; (iv) classification in macro-theme of the identified jobs and (v) references most used by the authors. For the analysis, it was used 294 papers written by 694 authors, affiliated with 266 institutions. In the articles analysed, the authors used 5,060 different references, as well as 634 different keywords. This work, in addition to a mapping of research, aims to contribute to the spreading of the idea that the MOOC theme is emerging, promising and it needs to go further in the development of new researches.Los Massive Open Online Courses (MOOC) están ganando atención en el campo académico por la innovación disruptiva que llevan para el sistema educativo. Debido a la emergencia del tema, el área necesita estudios bibliométricos recientes que apunten los estudios realizados previamente y sugieran pautas para futuras investigaciones. Por tanto, el presente trabajo tiene como objetivo mapear las investigaciones acerca de MOOCs publicadas hasta diciembre de 2014 en dos bases de datos científicas: Scopus y Web of Science. A partir de los datos recogidos, algunos aspectos relevantes fueron explorados, a saber: (i) el número de publicaciones por año; (ii) el mapeo de las instituciones; (iii) los autores con la mayor cantidad de publicaciones; (iv) la clasificación en macrotemas de los trabajos identificados y (v) las referencias más utilizadas por los autores. Para el análisis, fueron utilizados 294 artículos escritos por 694 autores, afiliados a 266 instituciones. En esos trabajos los autores utilizaron 5.060 referencias diferentes, así como 634 palabras clave. En los artículos analizados, los autores utilizaron 5.060 referencias diferentes, así como 634 palabras claves diferentes.Este trabajo, además de un mapeo de investigación, tiene como objetivo contribuir para la propagación de la idea de que el tema MOOC es aún emergente y prometedor, y necesita avanzar para el desarrollo de nuevas investigaciones

ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems

Quick interaction between a human teacher and a learning machine presents numerous benefits and challenges when working with web-scale data. The human teacher guides the machine towards accomplishing the task of interest. The learning machine leverages big data to find examples that maximize the training value of its interaction with the teacher. When the teacher is restricted to labeling examples selected by the machine, this problem is an instance of active learning. When the teacher can provide additional information to the machine (e.g., suggestions on what examples or predictive features should be used) as the learning task progresses, then the problem becomes one of interactive learning. To accommodate the two-way communication channel needed for efficient interactive learning, the teacher and the machine need an environment that supports an interaction language. The machine can access, process, and summarize more examples than the teacher can see in a lifetime. Based on the machine's output, the teacher can revise the definition of the task or make it more precise. Both the teacher and the machine continuously learn and benefit from the interaction. We have built a platform to (1) produce valuable and deployable models and (2) support research on both the machine learning and user interface challenges of the interactive learning problem. The platform relies on a dedicated, low-latency, distributed, in-memory architecture that allows us to construct web-scale learning machines with quick interaction speed. The purpose of this paper is to describe this architecture and demonstrate how it supports our research efforts. Preliminary results are presented as illustrations of the architecture but are not the primary focus of the paper

SETTING UP A DIGITAL LEARNING ENVIRONMENT IN A PEDAGOGICAL UNIVERSITY

This article is aimed at discovering the development particularities of the digital Russian university management system in Russia in the context of universal digitalisation, and identifying the opportunities for the development of university digital learning environment elements. The leading research method of the issue is a comparative analysis of the level of digital competences of students of professional education in Russia and the European Union member states. The authors of the article discovered the particularities of modern education transformational processes, revealed the main role of the development of information and communication technologies, determined the place of Russia in the world learning space and analysed the dynamics of the position of Russian higher educational institutions in the world university rating.Este artículo tiene como objetivo descubrir las particularidades de desarrollo del sistema digital de gestión de la universidad rusa en Rusia en el contexto de la digitalización universal, e identificar las oportunidades para el desarrollo de elementos del entorno de aprendizaje digital universitario. El principal método de investigación del tema es un análisis comparativo del nivel de competencias digitales de los estudiantes de educación profesional en Rusia y los estados miembros de la Unión Europea. Los autores del artículo descubrieron las particularidades de los procesos de transformación de la educación moderna, revelaron el papel principal del desarrollo de las tecnologías de información y comunicación, determinaron el lugar de Rusia en el espacio de aprendizaje mundial y analizaron la dinámica de la posición de las instituciones de educación superior rusas en La calificación de la universidad mundial.Este artigo tem como objetivo descobrir as particularidades de desenvolvimento do sistema de gerenciamento de universidades digitais da Rússia na Rússia no contexto da digitalização universal e identificar as oportunidades para o desenvolvimento de elementos do ambiente de aprendizado digital das universidades. O principal método de pesquisa da questão é uma análise comparativa do nível de competências digitais de estudantes de educação profissional na Rússia e nos estados membros da União Europeia. Os autores do artigo descobriram as particularidades dos processos transformacionais da educação moderna, revelaram o papel principal do desenvolvimento das tecnologias da informação e da comunicação, determinaram o lugar da Rússia no espaço de aprendizado mundial e analisaram a dinâmica da posição das instituições de ensino superior russas no país. a classificação mundial da universidade

Measuring the Use of the Active and Assisted Living Prototype CARIMO for Home Care Service Users: Evaluation Framework and Results

To address the challenges of aging societies, various information and communication technology (ICT)-based systems for older people have been developed in recent years. Currently, the evaluation of these so-called active and assisted living (AAL) systems usually focuses on the analyses of usability and acceptance, while some also assess their impact. Little is known about the actual take-up of these assistive technologies. This paper presents a framework for measuring the take-up by analyzing the actual usage of AAL systems. This evaluation framework covers detailed information regarding the entire process including usage data logging, data preparation, and usage data analysis. We applied the framework on the AAL prototype CARIMO for measuring its take-up during an eight-month field trial in Austria and Italy. The framework was designed to guide systematic, comparable, and reproducible usage data evaluation in the AAL field; however, the general applicability of the framework has yet to be validated