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Institution

Open University

EducationMilton Keynes, United Kingdom
About: Open University is a education organization based out in Milton Keynes, United Kingdom. It is known for research contribution in the topics: Context (language use) & Population. The organization has 11702 authors who have published 35020 publications receiving 1110835 citations. The organization is also known as: Open University, The & Open University.


Papers
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Journal ArticleDOI
TL;DR: The study's results indicate that teachers' self-efficacy beliefs are related to their burnout level and seem to be more prepared to experiment with, and later also to implement new educational practices.
Abstract: Background. In the Netherlands, secondary education has seen radical changes that originated with the national authorities, including the Study-home system, a pupilcentred approach in which teachers help develop pupils’ independent working and creative thinking in order to get them to take responsibility for their own academic achievements. As educational innovations are more often than not accompanied by stress, the present study focuses on the onset of burnout among teachers who recently implemented this innovative system in the Netherlands. Aims. To test hypotheses that the extent to which teachers have a negative attitude towards the new instructional practices relates positively to their level of burnout, and that their self-efficacy beliefs regarding implementation of the practices and coping with stress involved in this relate negatively to their burnout levels. Sample. A random sample of 490 teachers employed in the Study-home system participated in this study. Methods. Three questionnaires were used. The Dutch version of the Maslach Burnout Inventory for teachers (Schaufeli & Van Horn, 1995) was used to assess the teachers’ burnout level. Second, a specially developed self-efficacy questionnaire relating to the domains of: (1) guiding groups of students using the principle of differentiation, (2) involving pupils with tasks and (3) use of innovative educational practices. Last, a questionnaire on the teachers’ attitudes concerning the usefulness and effectiveness of the Study-home as an educational innovation. Results. Regression analyses showed that the self-efficacy beliefs for each of the three domains were significantly and negatively related to the depersonalisation and emotional exhaustion dimensions of burnout, and significantly positively related to the personal accomplishment dimension. Furthermore, the more negative the teachers’ attitudes towards the Study-home appeared to be, the more they appeared

449 citations

Journal ArticleDOI
M. C. Jones1
TL;DR: In this article, a unified framework is provided which covers a number of straightforward methods and allows for their comparison: generalized jackknifing generates a variety of simple boundary kernel formulae.
Abstract: If a probability density function has bounded support, kernel density estimates often overspill the boundaries and are consequently especially biased at and near these edges. In this paper, we consider the alleviation of this boundary problem. A simple unified framework is provided which covers a number of straightforward methods and allows for their comparison: ‘generalized jackknifing’ generates a variety of simple boundary kernel formulae. A well-known method of Rice (1984) is a special case. A popular linear correction method is another: it has close connections with the boundary properties of local linear fitting (Fan and Gijbels, 1992). Links with the ‘optimal’ boundary kernels of Muller (1991) are investigated. Novel boundary kernels involving kernel derivatives and generalized reflection arise too. In comparisons, various generalized jackknifing methods perform rather similarly, so this, together with its existing popularity, make linear correction as good a method as any. In an as yet unsuccessful attempt to improve on generalized jackknifing, a variety of alternative approaches is considered. A further contribution is to consider generalized jackknife boundary correction for density derivative estimation. En route to all this, a natural analogue of local polynomial regression for density estimation is defined and discussed.

449 citations

Journal ArticleDOI
Timothy W. Shimwell1, Huub Röttgering1, Philip Best2, Wendy L. Williams3, T. J. Dijkema4, F. de Gasperin1, Martin J. Hardcastle3, George Heald5, D. N. Hoang1, A. Horneffer6, Huib Intema1, Elizabeth K. Mahony7, Elizabeth K. Mahony4, Subhash C. Mandal1, A. P. Mechev1, Leah K. Morabito1, J. B. R. Oonk1, J. B. R. Oonk4, D. A. Rafferty8, E. Retana-Montenegro1, J. Sabater2, Cyril Tasse9, Cyril Tasse10, R. J. van Weeren11, Marcus Brüggen8, Gianfranco Brunetti12, Krzysztof T. Chyzy13, John Conway14, Marijke Haverkorn15, Neal Jackson16, Matt J. Jarvis17, Matt J. Jarvis18, John McKean4, George K. Miley1, Raffaella Morganti19, Raffaella Morganti4, Glenn J. White20, Glenn J. White21, Michael W. Wise22, Michael W. Wise4, I. van Bemmel23, Rainer Beck6, Marisa Brienza4, Annalisa Bonafede8, G. Calistro Rivera1, Rossella Cassano12, A. O. Clarke16, D. Cseh15, Adam Deller4, A. Drabent, W. van Driel10, W. van Driel24, D. Engels8, Heino Falcke4, Heino Falcke15, Chiara Ferrari25, S. Fröhlich26, M. A. Garrett4, Jeremy J. Harwood4, Volker Heesen27, Matthias Hoeft23, Cathy Horellou14, Frank P. Israel1, Anna D. Kapińska28, Anna D. Kapińska29, Magdalena Kunert-Bajraszewska, D. J. McKay30, D. J. McKay21, N. R. Mohan31, Emanuela Orru4, R. Pizzo19, R. Pizzo4, Isabella Prandoni12, Dominik J. Schwarz32, Aleksandar Shulevski4, M. Sipior4, Daniel J. Smith3, S. S. Sridhar19, S. S. Sridhar4, Matthias Steinmetz33, Andra Stroe34, Eskil Varenius14, P. van der Werf1, J. A. Zensus6, Jonathan T. L. Zwart35, Jonathan T. L. Zwart18 
TL;DR: The LOFAR Two-metre Sky Survey (LoTSS) as mentioned in this paper is a deep 120-168 MHz imaging survey that will eventually cover the entire northern sky, where each of the 3170 pointings will be observed for 8 h, which, at most declinations, is sufficient to produce ~5? resolution images with a sensitivity of ~100?Jy/beam and accomplish the main scientific aims of the survey, which are to explore the formation and evolution of massive black holes, galaxies, clusters of galaxies and large-scale structure.
Abstract: The LOFAR Two-metre Sky Survey (LoTSS) is a deep 120-168 MHz imaging survey that will eventually cover the entire northern sky. Each of the 3170 pointings will be observed for 8 h, which, at most declinations, is sufficient to produce ~5? resolution images with a sensitivity of ~100 ?Jy/beam and accomplish the main scientific aims of the survey, which are to explore the formation and evolution of massive black holes, galaxies, clusters of galaxies and large-scale structure. Owing to the compact core and long baselines of LOFAR, the images provide excellent sensitivity to both highly extended and compact emission. For legacy value, the data are archived at high spectral and time resolution to facilitate subarcsecond imaging and spectral line studies. In this paper we provide an overview of the LoTSS. We outline the survey strategy, the observational status, the current calibration techniques, a preliminary data release, and the anticipated scientific impact. The preliminary images that we have released were created using a fully automated but direction-independent calibration strategy and are significantly more sensitive than those produced by any existing large-Area low-frequency survey. In excess of 44 000 sources are detected in the images that have a resolution of 25?, typical noise levels of less than 0.5 mJy/beam, and cover an area of over 350 square degrees in the region of the HETDEX Spring Field (right ascension 10h45m00s to 15h30m00s and declination 45°00?00? to 57°00?00?).

447 citations

Journal ArticleDOI
TL;DR: The findings suggest that students are immersed in a rich, technology-enhanced learning environment and that they select and appropriate technologies to their own personal learning needs.
Abstract: The paper describes the findings from a study of students' use and experience of technologies. A series of in-depth case studies were carried out across four subject disciplines, with data collected via survey, audio logs and interviews. The findings suggest that students are immersed in a rich, technology-enhanced learning environment and that they select and appropriate technologies to their own personal learning needs. The findings have profound implications for the way in which educational institutions design and support learning activities.

447 citations

Journal ArticleDOI
TL;DR: In this paper, a rapidly moving laser beam is used to "paint" a time-averaged optical dipole potential in order to create BECs in a variety of geometries, including toroids, ring lattices and square lattices.
Abstract: There is a pressing need for robust and straightforward methods to create potentials for trapping Bose?Einstein condensates (BECs) that are simultaneously dynamic, fully arbitrary and sufficiently stable to not heat the ultracold gas. We show here how to accomplish these goals, using a rapidly moving laser beam that 'paints' a time-averaged optical dipole potential in which we create BECs in a variety of geometries, including toroids, ring lattices and square lattices. Matter wave interference patterns confirm that the trapped gas is a condensate. As a simple illustration of dynamics, we show that the technique can transform a toroidal condensate into a ring lattice and back into a toroid. The technique is general and should work with any sufficiently polarizable low-energy particles.

446 citations


Authors

Showing all 11915 results

NameH-indexPapersCitations
Simon Baron-Cohen172773118071
Rob Ivison1661161102314
David W. Johnson1602714140778
David Scott124156182554
R. Santonico12077767421
Eva K. Grebel11886383915
Chris J. Hawkesworth11236038666
Johannes Brug10962044832
Mark J. Nieuwenhuijsen10764749080
M. Santosh103134449846
Andrew J. King10288246038
Wim H. M. Saris9950634967
Peter Nijkamp97240750826
John Dixon9654336929
Timothy Clark95113753665
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023103
2022395
20211,994
20201,928
20191,810
20181,629