Learner preferences regarding integrating, sequencing and aligning virtual patients with other activities in the undergraduate medical curriculum: A focus group study

CONTEXT: E-learning resources, such as virtual patients (VPs), can be more effective when they are integrated in the curriculum. To gain insights that can inform guidelines for the curricular integration of VPs, we explored students' perceptions of scenarios with integrated and non-integrated VPs aimed at promoting clinical reasoning skills. METHODS: During their paediatric clerkship, 116 fifth-year medical students were given at least ten VPs embedded in eight integrated scenarios and as non-integrated add-ons. The scenarios differed in the sequencing and alignment of VPs and related educational activities, tutor involvement, number of VPs, relevance to assessment and involvement of real patients. We sought students' perceptions on the VP scenarios in focus group interviews with eight groups of 4-7 randomly selected students (n = 39). The interviews were recorded, transcribed and analysed qualitatively. RESULTS: The analysis resulted in six themes reflecting students' perceptions of important features for effective curricular integration of VPs: (i) continuous and stable online access, (ii) increasing complexity, adapted to students' knowledge, (iii) VP-related workload offset by elimination of other activities, (iv) optimal sequencing (e.g.: lecture--1 to 2 VP(s)--tutor-led small group discussion--real patient) and (V) optimal alignment of VPs and educational activities, (vi) inclusion of VP topics in assessment. CONCLUSIONS: The themes appear to offer starting points for the development of a framework to guide the curricular integration of VPs. Their impact needs to be confirmed by studies using quantitative controlled designs.

Estilos en las redes sociales en línea: un estudio basado en corpora

Las nuevas tecnologías y el procesamiento digital han facilitado considerablemente la lingüística de corpus, por ejemplo Internet es una herramienta fácil y barata para recopilar corpus. Internet es cada vez más popular y más importante para la comunicación a causa de la enorme influencia de los nuevos medios y ha afectado la vida y la sociedad de muchas maneras y en parte, de manera fundamental. No sorprende por eso que la lengua y la comunicación misma se vean afectadas. Uno de los fenómenos más interesantes dentro de la comunicación mediada por ordenadores (CMC) son las redes sociales en línea, que en pocos años se han convertido en un medio de comunicación muy difundido y en expansión continua. Su estudio es particularmente interesante porque debido al desarrollo constante de la tecnología las redes sociales en línea no son una entidad estática, sino que cambian incesantemente, introduciéndose frecuentemente novedades para su uso. Estas novedades están condicionadas por el medio electrónico que a su vez influye decisivamente en el estilo de comunicación empleado en redes sociales como Facebook y Tuenti. Al ser un nuevo medio de interacción social, las redes sociales en línea producen un estilo de comunicación propio. El objetivo de análisis de mi tesis es cómo los usuarios de Facebook y Tuenti de la ciudad de Málaga crean este estilo mediante el uso de rasgos fónicos propios de la variedad andaluza y de qué manera la actitud lingüística de los usuarios influye en el uso de dichos rasgos fónicos. Este estudio se basa en un corpus elaborado a partir de enunciados de informantes en Facebook y Tuenti. Un corpus constituido por transcripciones amplias de grabaciones de hablantes malagueños me sirve de corpus de comparación. Otra herramienta metodológica empleada para recopilar datos será la encuesta: un tipo de encuesta estará destinada a captar las actitudes de los participantes frente a diversos rasgos del habla andaluza/malagueña y otro a examinar por qué la gente utiliza estos rasgos en Facebook y Tuenti. Este estudio se apoya en los resultados de un estudio piloto que muestran que los factores sociales y lingüísticos analizados funcionan de manera distinta en el habla real y virtual. Debido a estos usos diferentes podemos considerar la comunicación electrónica de Facebook y Tuenti como un estilo condicionado por el tipo de espacio virtual. Se trata de un estilo que sirve a los usuarios para crear significado social y para expresar sus identidades a partir de la lengua.

Estilos en las redes sociales en línea: un estudio basado en corpora

Das Internet wird ein immer populäreres und wichtigeres Kommunikationsmittel, besonders die sogenannten Social-Networking-Sites. In dieser Studie wird untersucht wie die Social-Networking-Sites, Facebook und Tuenti, die Kommunikation beeinflussen. In einem Korpus von Usern aus Málaga, wurde der Gebrauch von nicht-Standard Merkmalen analysiert und mit dem in der gesprochenen Sprache verglichen. Aus diesem Vergleich lässt sich schließen, dass die untersuchten sozialen und linguistischen Faktoren in der virtuellen und der reellen Sprache unterschiedlich funktionieren. Aufgrund dieses unterschiedlichen Gebrauchs kann die elektronische Kommunikation Facebook und Tuenti’s als Stil betrachtet werden, welcher den Usern dazu dient, soziale Bedeutung zu kreieren und ihre sprachliche Identität auszudrücken.

An investigation into the factors that encourage learner participation in a large group medical classroom

BACKGROUND: Effective lectures often incorporate activities that encourage learner participation. A challenge for educators is how to facilitate this in the large group lecture setting. This study investigates the individual student characteristics involved in encouraging (or dissuading) learners to interact, ask questions, and make comments in class. METHODS: Students enrolled in a Doctor of Veterinary Medicine program at Ross University School of Veterinary Medicine, St Kitts, were invited to complete a questionnaire canvassing their participation in the large group classroom. Data from the questionnaire were analyzed using Excel (Microsoft, Redmond, WA, USA) and the R software environment (http://www.r-project.org/). RESULTS: One hundred and ninety-two students completed the questionnaire (response rate, 85.7%). The results showed statistically significant differences between male and female students when asked to self-report their level of participation (P=0.011) and their confidence to participate (P<0.001) in class. No statistically significant difference was identified between different age groups of students (P=0.594). Student responses reflected that an "aversion to public speaking" acted as the main deterrent to participating during a lecture. Female participants were 3.56 times more likely to report a fear of public speaking than male participants (odds ratio 3.56, 95% confidence interval 1.28-12.33, P=0.01). Students also reported "smaller sizes of class and small group activities" and "other students participating" as factors that made it easier for them to participate during a lecture. CONCLUSION: In this study, sex likely played a role in learner participation in the large group veterinary classroom. Male students were more likely to participate in class and reported feeling more confident to participate than female students. Female students in this study commonly identified aversion to public speaking as a factor which held them back from participating in the large group lecture setting. These are important findings for veterinary and medical educators aiming to improve learner participation in the classroom. Potential ways of addressing this challenge include addition of small group activities and audience response systems during lectures, and inclusion of training interventions in public speaking at an early stage of veterinary and medical curricula.

Pangea: A Workbench for Statically Analyzing Multi-Language Software Corpora

Software corpora facilitate reproducibility of analyses, however, static analysis for an entire corpus still requires considerable effort, often duplicated unnecessarily by multiple users. Moreover, most corpora are designed for single languages increasing the effort for cross-language analysis. To address these aspects we propose Pangea, an infrastructure allowing fast development of static analyses on multi-language corpora. Pangea uses language-independent meta-models stored as object model snapshots that can be directly loaded into memory and queried without any parsing overhead. To reduce the effort of performing static analyses, Pangea provides out-of-the box support for: creating and refining analyses in a dedicated environment, deploying an analysis on an entire corpus, using a runner that supports parallel execution, and exporting results in various formats. In this tool demonstration we introduce Pangea and provide several usage scenarios that illustrate how it reduces the cost of analysis.

Annotating the meaning of discourse connectives in multilingual corpora

Discourse connectives are lexical items indicating coherence relations between discourse segments. Even though many languages possess a whole range of connectives, important divergences exist cross-linguistically in the number of connectives that are used to express a given relation. For this reason, connectives are not easily paired with a univocal translation equivalent across languages. This paper is a first attempt to design a reliable method to annotate the meaning of discourse connectives cross-linguistically using corpus data. We present the methodological choices made to reach this aim and report three annotation experiments using the framework of the Penn Discourse Tree Bank.

How comparable are parallel corpora? Measuring the distribution of general vocabulary and connectives

In this paper, we question the homogeneity of a large parallel corpus by measuring the similarity between various sub-parts. We compare results obtained using a general measure of lexical similarity based on χ2 and by counting the number of discourse connectives. We argue that discourse connectives provide a more sensitive measure, revealing differences that are not visible with the general measure. We also provide evidence for the existence of specific characteristics defining translated texts as opposed to non-translated ones, due to a universal tendency for explicitation.

Explora: A Visualisation Tool for Metric Analysis of Software Corpora

When analysing software metrics, users find that visualisation tools lack support for (1) the detection of patterns within metrics; and (2) enabling analysis of software corpora. In this paper we present Explora, a visualisation tool designed for the simultaneous analysis of multiple metrics of systems in software corpora. Explora incorporates a novel lightweight visualisation technique called PolyGrid that promotes the detection of graphical patterns. We present an example where we analyse the relation of subtype polymorphism with inheritance and invocation in corpora of Smalltalk and Java systems and find that (1) subtype polymorphism is more likely to be found in large hierarchies; (2) as class hierarchies grow horizontally, they also do so vertically; and (3) in polymorphic hierarchies the length of the name of the classes is orthogonal to the cardinality of the call sites.

Explora: Infrastructure for Scaling Up Software Visualisation to Corpora

Visualisation provides good support for software analysis. It copes with the intangible nature of software by providing concrete representations of it. By reducing the complexity of software, visualisations are especially useful when dealing with large amounts of code. One domain that usually deals with large amounts of source code data is empirical analysis. Although there are many tools for analysis and visualisation, they do not cope well software corpora. In this paper we present Explora, an infrastructure that is specifically targeted at visualising corpora. We report on early results when conducting a sample analysis on Smalltalk and Java corpora.