Full text met HU account Although people all over the world learn sign languages as a second language (SL2), there is scant literature on sign language acquisition processes to guide professionals in the field. This study focuses on one of the modality-specific phenomena that SL2 learners with a spoken language background encounter that do not exist in their native language (L1): the use of space for grammatical reasons. We analyzed the sign language production data of two learners of Sign Language of the Netherlands (NGT) who we followed for four years. Data comprise interviews that were coded for use of space. Use of space was operationalized by measuring the number of occasions of pointing signs, agreement verbs, classifier verbs, and spatially modified signs from the nominal domain. In addition, we identified examples of typical L2 signing (e.g. errors of overgeneralization, omissions, et cetera). Data show that learners initially produce modified signs that have a gestural counterpart. It might be that they "borrow" signs from the gestural domain, or they produce these highly iconic structures because their gestural inventory has helped them to acquire these structures. Furthermore, the data show that particularly classifier verbs and agreement verbs within a constructed action sequence pose challenges for the learners, and we observed some general error patterns that have been found in L1-learners, such as stacking and reversing the movement path of agreement verbs
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Introduction: Nursing education traditionally teaches skill acquisition in isolated practice drills and guided by step-by-step protocols. While these approaches may seem to provide a solid foundation, they do not adequately bridge the gap between a controlled learning environment and the reality of nursing practice. The constraints-led approach (CLA) is an applied theory, which explains that skill acquisition is a process of adjusting to the characteristics of a situation, instead of reproducing isolated, “ideal” movements out of context. Given that CLA has gained recognition as an effective learning method in various fields, it is worth investigating how CLA can be implemented for skill acquisition in nursing education. Methods: To gain insight into student experiences of several CLA-exercises, an explorative qualitative design was used. Ten longitudinal focus groups with nursing students (n = 11) were performed to gain deeper understanding of students’ experiences with an education course in which several “CLA-exercises” were integrated. In addition, the teachers (n = 3) involved were interviewed after the course was completed. Results: The students experienced the education course as enjoyable, challenging and reality-based. Also, the exercises motivated students to keep practicing. The students further appreciated the room for autonomy and self-organization. The teachers expressed enthusiasm for CLA-inspired education, noting the benefits of varied methods and the need for expert feedback and well-working practice materials. Conclusion: Both students and teachers felt confident that the students who completed this course were ready to apply the learned skills under supervision in clinical practice.
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Abstract Despite the numerous business benefits of data science, the number of data science models in production is limited. Data science model deployment presents many challenges and many organisations have little model deployment knowledge. This research studied five model deployments in a Dutch government organisation. The study revealed that as a result of model deployment a data science subprocess is added into the target business process, the model itself can be adapted, model maintenance is incorporated in the model development process and a feedback loop is established between the target business process and the model development process. These model deployment effects and the related deployment challenges are different in strategic and operational target business processes. Based on these findings, guidelines are formulated which can form a basis for future principles how to successfully deploy data science models. Organisations can use these guidelines as suggestions to solve their own model deployment challenges.
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ion of verb agreement by hearing learners of a sign language. During a 2-year period, 14 novel learners of Sign Language of the Netherlands (NGT) with a spoken language background performed an elicitation task 15 times. Seven deaf native signers and NGT teachers performed the same task to serve as a benchmark group. The results obtained show that for some learners, the verb agreement system of NGT was difficult to master, despite numerous examples in the input. As compared to the benchmark group, learners tended to omit agreement markers on verbs that could be modified, did not always correctly use established locations associated with discourse referents, and made characteristic errors with respect to properties that are important in the expression of agreement (movement and orientation). The outcomes of the study are of value to practitioners in the field, as they are informative with regard to the nature of the learning process during the first stages of learning a sign language.
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Although governments are investing heavily in big data analytics, reports show mixed results in terms of performance. Whilst big data analytics capability provided a valuable lens in business and seems useful for the public sector, there is little knowledge of its relationship with governmental performance. This study aims to explain how big data analytics capability led to governmental performance. Using a survey research methodology, an integrated conceptual model is proposed highlighting a comprehensive set of big data analytics resources influencing governmental performance. The conceptual model was developed based on prior literature. Using a PLS-SEM approach, the results strongly support the posited hypotheses. Big data analytics capability has a strong impact on governmental efficiency, effectiveness, and fairness. The findings of this paper confirmed the imperative role of big data analytics capability in governmental performance in the public sector, which earlier studies found in the private sector. This study also validated measures of governmental performance.
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Current research on data in policy has primarily focused on street-level bureaucrats, neglecting the changes in the work of policy advisors. This research fills this gap by presenting an explorative theoretical understanding of the integration of data, local knowledge and professional expertise in the work of policy advisors. The theoretical perspective we develop builds upon Vickers’s (1995, The Art of Judgment: A Study of Policy Making, Centenary Edition, SAGE) judgments in policymaking. Empirically, we present a case study of a Dutch law enforcement network for preventing and reducing organized crime. Based on interviews, observations, and documents collected in a 13-month ethnographic fieldwork period, we study how policy advisors within this network make their judgments. In contrast with the idea of data as a rationalizing force, our study reveals that how data sources are selected and analyzed for judgments is very much shaped by the existing local and expert knowledge of policy advisors. The weight given to data is highly situational: we found that policy advisors welcome data in scoping the policy issue, but for judgments more closely connected to actual policy interventions, data are given limited value.
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Electromagnetic Articulography (EMA) is a technology created over two decades ago. EMA enables to acquire spatiotemporal data from sensors placed on the tongue in order to obtain information about the positioning of the tongue, its shape and dynamics during vocalizations of various sounds of human speech. The articulograph is often supported by an audio recorder and a vision system. In this paper, a novel system integrating EMA, audio and visual data recording is presented. The articulatory data was obtained with a Carsten's AG500 articulograph. The vision system was constructed from 3 high-speed cameras (Gazelle GZL-CL-22C5M-C) manufactured by Point Grey. The cameras registered movements of markers attached to the face of the speakers. The audio recorder consisted of a 16-channel microphone array and an electronic device that registered and processed signals from the microphones. The microphone array made it possible to map sources of sound propagation on the speaker’s face. The simultaneous recording of signals from EMA, the video system and the audio recorder is controlled from a computer with a host program and is supported by a synchronizer. The electromagnetic articulograph registers signals from EMA sensors which return their spatiotemporal positions with the sampling frequency of 200 Hz. The readouts of the spatial positioning of sensors attached to the tongue provide information about its shape and movements in time. There are three cameras registering the movements of external articulators and organs (e.g. lips, jaw and cheeks) from the front and side views. The cameras register movies with the frame rate of 200 FPS. The circular microphone array with 16 microphones records 16-channel audio with 96 kHz sampling rate and 16 bit resolution. During the recording sessions, the participants read aloud words that are displayed on the screen. An application on the host computer sends commands to AG500 which in turn generates synchronization signals in the TTL standard to external devices. These signals are used for activating the audio recorder and the synchronizer in the video system. Articulographic and simple acoustic analysis is performed with created in MATLAB software called phonEMAtool. This software is very useful and ergonomic for fast feature extraction of tongue movements during speech. The application allows to display simultaneously: speech waveform, EMA sensors position and orientation, phonetic segmentation. Before an analysis, the data from AG500 are pre-processed twice with a Savitzky-Golay filter so as to remove undesirable noise. In the paper an exemplary analysis performed by the phonEMAtool of particular articulatory gestures in the articulation of [m] in the Polish word Tamara is presented. Another analysis is beamforming of audio signals in order to obtain three-dimensional acoustic field distribution images. In the paper an example of this technique applied to the analysis of the nasal consonant in the word Tamara [tamara] has been shown. Analysis indicated that the highest intensity of the acoustic field during the pronunciation of the consonant [m] occurs in the nose region and for vowel [a], the highest intensity is observed in the mouth. Due to movement registration of facial markers the reconstruction of positions of external articulators can be obtained. With additional face triangulation using Delaunay algorithm some differences between positions of external articulators can be easily tracked. The measurement system described in this paper is effective and allows for an examination of the vocal tract in 3 ways: tongue movements, acoustic field intensity distribution and external articulator movements. A particularly useful tool is the dedicated acoustic camera based on multi-channel audio recorder and a microphone array. The results obtained with this equipment are unique and show great research and application potential.
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This article presents findings from an empirical study on the relations between the variables comprising learning mechanisms in small collaborative groups. Variables comprising the central learning mechanisms component were task related interactions, knowledge elaborations, and subjective estimation of knowledge acquisition. Student related determinants of the learning processes were dysfunctional behavior, and work group management. Tutor related determinants were tutor facilitative behavior (facilitation, questioning, and mini-lecturing), and tutor work group management. The selected variables were structured into a path model. The first question concerned the way the three variables comprising the learning mechanisms component are related to each other. We have contrasted mediation vs. addition hypothesis. The second question concerned the validity of the complete small group functioning model. In order to answer these questions we have constructed a questionnaire and administered it to 89 1st year medical students. Concerning the first question, the data were in accordance with the mediation hypothesis. Specific analyses showed that only the collaborative sequence type of task related interactions had positive effects on both knowledge elaborations and knowledge acquisition. In contrast the transfer of knowledge type of interactions had negative effects on the same variables. Test of the validity of the complete model showed a satisfactory model fit. Briefly, our findings suggest that a large proportion of collaborative sequences in the group, together with a low proportion of dysfunctional behavior and highly facilitative behavior of the tutor will lead to a high proportion of knowledge elaborations. Knowledge elaborations positively affect knowledge acquisition which is an important determinant of the student satisfaction and motivation.
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In this article, we examine the relationship between important types of policies for asylum permit holders in the Netherlands and the improvement in their command of Dutch. As far as asylum policy is concerned, we find that participation in activities in the asylum seekers reception centre – and in particular, following Dutch language classes – contribute to an improvement in Syrian asylum permit holders’ command of Dutch. On the other hand, a prolonged period of stay and frequent relocations between reception centres are not favourable. Asylum permit holders who have successfully completed the civic integration programme have a better command of the language than asylum permit holders who are still undergoing the programme. An important finding is that there seems to be a sort of double deficit in the area of civic integration: not only do the elderly and lower educated make less progress in learning Dutch, but they are also the ones more likely to receive a dispensation from the civic integration requirement, which places them at a further disadvantage. Third, we find that early participation in the labour market or as a volunteer is also beneficial for language proficiency.
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In Nederlandse scholen zijn jaarlijks vele tienduizenden praktijkbegeleiders (mentoren) van leraren in opleiding actief. De meeste mentoren doen dit begeleidingswerk naast hun hoofdtaak als leraar van leerlingen. Een ervaren leraar is niet per definitie ook een goede mentor. Om mentoren te ondersteunen in hun belangrijke werk verzorgen veel scholen, vaak in samenwerking met lerarenopleidingen, trainingen in begeleidingsvaardigheden. Voor Frank Crasborn en Paul Hennissen vormde hun ervaring als lerarenopleider en trainer van honderden mentoren de inspiratiebron voor het opzetten van onderzoek. Dit leidde tot een onderzoeksproject van acht deelstudies, waarin zowel naar gedragsaspecten als naar gerelateerde cognitieve aspecten van begeleidingsgedrag van mentoren werd gekeken. De resultaten van het onderzoek leidden tot een bijdrage aan de ordening van begrippen en concepten die gebruikt worden om begeleidingsgedrag van begeleiders in gesprekken met leraren in opleiding in kaart te brengen en te analyseren; een gedetailleerd beeld van begeleidingsgedrag in authentieke begeleidingsgesprekken en de manier waarop leraren in opleiding dit gedrag percipiëren; het blootleggen van cognities van mentoren, gekoppeld aan begeleidingsgedrag in gesprekken met leraren in opleiding; meer inzicht in de reikwijdte van training op de ontwikkeling van het doen en denken van begeleiders in begeleidingsgesprekken; een instrument voor reflectie op begeleidingsgedrag van mentoren; aanwijzingen voor verbetering van trainingen voor mentoren.
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