Case-based learning in VTLE: An effective strategy for improving learning design

This article presents preliminary research from an instructional design perspective on the design of the case method as an integral part of pedagogy and technology. Key features and benefitsusing this teaching and learning strategy in a Virtual Teaching and Learning Environment(VTLE) are identified, taking into account the requirements of the European Higher Education Area (EHEA) for a competence-based curricula design. The implications of these findings for alearning object approach exploring the possibilities of learning personalization, reusability and interoperability trough IMS LD, are also analyzed.

Evaluating teaching and management innovations in an online university: the case of the Universitat Oberta de Catalunya

The Universitat Oberta de Catalunya (UOC) is an online university that has innovation as a transversal feature in all its activities and processes. Therefore, innovation is present in the annual objectives of all the academic and management departments in order to increase student satisfaction. UOC stimulates innovation by funding strategic projects as well as organizing regular internal calls for small projects which brings about innovative academic and management proposals. In this paper we present the method for evaluating teaching and management innovations through internal calls (APLICA), by selecting which initiatives are suitable to become strategic innovative projects (INNOVA) or which features should compose any application available at the OpenApps platform. Besides, general indicators used by the Innovation Program to evaluate the activities carried out are also reported.

Action Research : the first steps to start up a pilot experiment in heritage education

Peer-reviewed

Using a blog to create and support a Community of Inquiry in Secondary Education

Understanding how blogs can support collaborative learning is a vital concern for researchers and teachers. This paper explores how blogs may be used to support Secondary Education students’ collaborative interaction and how such an interaction process can promote the creation of a Community of Inquiry to enhance critical thinking and meaningful learning. We designed, implemented and evaluated a science case-based project in which fifteen secondary students participated. Students worked in the science blogging project during 4 months. We asked students to be collaboratively engaged in purposeful critical discourse and reflection in their blogs in order to solve collectively science challenges and construct meaning about topics related to Astronomy and Space Sciences. Through student comments posted in the blog, our findings showed that the blog environment afforded the construction of a Community of Inquiry and therefore the creation of an effective online collaborative learning community. In student blog comments, the three presences for collaborative learning took place: cognitive, social, and teaching presence. Moreover, our research found a positive correlation among the three presences –cognitive, social and teaching– of the Community of Inquiry model with the level of learning obtained by the students. We discuss a series of issues that instructors should consider when blogs are incorporated into teaching and learning. We claim that embedded scaffolds to help students to argue and reason their comments in the blog are required to foster blog-supported collaborative learning.

Translation as a Process and Translation as a Product in Teaching Translation

L'ensenyament de la traducció s'ha utilitzat tradicionalment en algunes titulacions de filologia com a eina d'aprenentatge d'habilitats de la llengua. Aquesta circumstància, però, no ha d'estar renyida amb la producció d'una traducció acceptable. En aquest article es pretén analitzar si pot aconseguir-se aquest objectiu mitjançant la incorporació d'informació extratextual en l'enunciat de l'exercici de traducció. Els resultats obtinguts amb un grup d'estudiants de filologia mostren que en les seves decisions lingüístiques va tenir un pes important el tipus d'informació extratextual adjunta als textes originals anglesos. Si bé caldria fer un esforç investigador més sistemàtic per poder afirmar-ho categòricament, aquest estudi intenta esbossar la qüestió tan discutida de fins on l'aprenentatge d'una llengua s'ha de realitzar junt amb l'aprenentatge de la traducció. Aquest estudi, també, planteja la necessitat d'incorporar informació extratextual en l'aprenentatge de la traducció, independentment de la titulació que en aquests estudis s'insereixen.

Is the Front Line Prepared for the Changing Faces of Patients? Predictors of Cross-Cultural Preparedness Among Clinical Nurses and Resident Physicians in Lausanne, Switzerland.

UNLABELLED: Phenomenon: Assuring quality medical care for all persons requires that healthcare providers understand how sociocultural factors affect a patient's health beliefs/behaviors. Switzerland's changing demographics highlight the importance of provider cross-cultural preparedness for all patients-especially those at risk for social/health precarity. We evaluated healthcare provider cross-cultural preparedness for commonly encountered vulnerable patient profiles. APPROACH: A survey on cross-cultural care was mailed to Lausanne University hospital's "front-line healthcare providers": clinical nurses and resident physicians at our institution. Preparedness items asked "How prepared do you feel to care for ... ?" (referring to example patient profiles) on an ascending 5-point Likert scale. We examined proportions of "4 - well/5 - very well prepared" and the mean composite score for preparedness. We used linear regression to examine the adjusted effect of demographics, work context, cultural-competence training, and cross-cultural care problem awareness, on preparedness. FINDINGS: Of 885 questionnaires, 368 (41.2%) were returned: 124 (33.6%) physicians and 244 (66.4%) nurses. Mean preparedness composite was 3.30 (SD = 0.70), with the lowest proportion of healthcare providers feeling prepared for patients "whose religious beliefs affect treatment" (22%). After adjustment, working in a sensitized department (β = 0.21, p = .01), training on the history/culture of a specific group (β = 0.25, p = .03), and awareness regarding (a) a lack of practical experience caring for diverse populations (β = 0.25, p = .004) and (b) inadequate cross-cultural training (β = 0.18, p = .04) were associated with higher preparedness. Speaking French as a dominant language and physician role (vs. nurse) were negatively associated with preparedness (β = -0.26, p = .01; β = -0.22, p = .01). Insights: The state of cross-cultural care preparedness among Lausanne's front-line healthcare providers leaves room for improvement. Our study points toward institutional strategies to improve preparedness: notably, making sure departments are sensitized to cross-cultural care resources and increasing provider diversity to reflect the changing Swiss demographic.

Abbatouy, Mohammed; Renn Hürgen and Weinig, Paul (Eds.). Intercultural Transmission of Scientific Knowledge in the Middle Ages: Graeco-Arabic-Latin. Science in Context

As the editors explain in the introduction, a workshop dedicated to 'Experience and Knowledge Structures in Arabic and Latin sciences' was held at the Max Plank Institue for the HIstory of Science...

New kernel functions and learning methods for text and data mining

Recent advances in machine learning methods enable increasingly the automatic construction of various types of computer assisted methods that have been difficult or laborious to program by human experts. The tasks for which this kind of tools are needed arise in many areas, here especially in the fields of bioinformatics and natural language processing. The machine learning methods may not work satisfactorily if they are not appropriately tailored to the task in question. However, their learning performance can often be improved by taking advantage of deeper insight of the application domain or the learning problem at hand. This thesis considers developing kernel-based learning algorithms incorporating this kind of prior knowledge of the task in question in an advantageous way. Moreover, computationally efficient algorithms for training the learning machines for specific tasks are presented. In the context of kernel-based learning methods, the incorporation of prior knowledge is often done by designing appropriate kernel functions. Another well-known way is to develop cost functions that fit to the task under consideration. For disambiguation tasks in natural language, we develop kernel functions that take account of the positional information and the mutual similarities of words. It is shown that the use of this information significantly improves the disambiguation performance of the learning machine. Further, we design a new cost function that is better suitable for the task of information retrieval and for more general ranking problems than the cost functions designed for regression and classification. We also consider other applications of the kernel-based learning algorithms such as text categorization, and pattern recognition in differential display. We develop computationally efficient algorithms for training the considered learning machines with the proposed kernel functions. We also design a fast cross-validation algorithm for regularized least-squares type of learning algorithm. Further, an efficient version of the regularized least-squares algorithm that can be used together with the new cost function for preference learning and ranking tasks is proposed. In summary, we demonstrate that the incorporation of prior knowledge is possible and beneficial, and novel advanced kernels and cost functions can be used in algorithms efficiently.