Walking the talk : an investigation of the pedagogical practices and discourses of an international broadcasting organisation : a thesis presented in partial fulfilment of the requirements for the degree of Master of Education in Adult Education, Massey University, Manawatu, New Zealand

Increasingly our knowledge of the world around us comes from the media, mediated by professional broadcasters. As the education and training of broadcasters has progressively become associated with educational institutions there has been more theorising about what broadcasters should know and how they should be educated, however the actual educational and training practices of broadcasting organisations remains under researched and under theorised. This research looks at the educational and training practices of an international broadcasting organisation and how they are sustained by the organisational ethos through a series of interviews with people directly involved in the organisation‟s training practices and an examination of a selection of the organisation‟s promotional and policy documents. From this comes a picture of an organisation committed to excellence and also a vision of broadcasting as an emancipatory activity. This commitment and vision is reflected in its inhouse training practices and also its media development work. The interviews with trainers, project managers, administrators and researchers reveal broadcasters who are pragmatic idealists and reflective practitioners and whose passion and commitment to the transformative powers of education and training are undeniable

Scholarly leadership of the study of leadership: A review of The Leadership Quarterly's second decade, 2000-2009.

In a reprise of Lowe and Gardner's (2000) review of The Leadership Quarterly's (LQ) first decade as a premier outlet for scholarly leadership research, we review 353 articles published in LQ during its second decade. Multiple methods were employed to prepare this review, including: interviews with the journal's current Senior Editor and Associate Editors; an assessment of LQ's impact, reputation, and most cited articles through citation analyses; a content analysis of article type (theory, empirical, and methods), contributors (e.g., discipline, nationality, and institutional affiliation), theoretical foundations, research strategies, sample location/type, data collection methods, and analytical procedures; survey and follow-up focus groups conducted with LQ Editorial Review Board members; and qualitative analyses to assess the prevalent themes, contributions, and trends reflected in LQ during its second decade. Drawing from these sources, we describe anticipated directions for future research

Big Data Analytics in the Internet-Of-Things And Cyber-Physical Systems

Lv, Z.; Song, H.; Lloret, J.; Kim, D.; De Souza, J. (2019). Big Data Analytics in the Internet-Of-Things And Cyber-Physical Systems. IEEE Access. 7:18070-18075. https://doi.org/10.1109/ACCESS.2019.2895441S1807018075

Annual Research Report, 2009-2010

Annual report of collaborative research projects of Old Dominion University faculty and students in partnership with business, industry and governmenthttps://digitalcommons.odu.edu/or_researchreports/1001/thumbnail.jp

Can We Bridge the Gap? Mathematics and the Life Sciences, Part 1–Calculus-Based Modules, Programs, Curricula

This editorial serves as an introduction to Part 1 of the Special Issue Mathematics and the Life Sciences–a collection of articles showcasing ideas, examples, pedagogical frameworks, and curricular materials aiming to bridge the stubbornly persistent gap at the undergraduate level between the mathematical and the life sciences. The special issue features authors from public and private institutions of diverse types, sizes, and geographic locations: community colleges, liberal arts colleges, and research-oriented universities. We hope this special issue will serve as a resource to faculty who seek to make changes to their own course(s) or initiate curriculum reforms at their own schools. Part 1 focuses on educational initiatives that are appropriate for Calculus classes or require calculus as a prerequisite. Part 2 of the special issue features course materials and programs based on discrete mathematics, computational approaches, and statistics. Part 2 also includes articles on internship programs and co-curricular opportunities

Putting theory oriented evaluation into practice

Evaluations of gaming simulations and business games as teaching devices are typically end-state driven. This emphasis fails to detect how the simulation being evaluated does or does not bring about its desired consequences. This paper advances the use of a logic model approach which possesses a holistic perspective that aims at including all elements associated with the situation created by a game. The use of the logic model approach is illustrated as applied to Simgame, a board game created for secondary school level business education in six European Union countries

An adaptive sampling method for global sensitivity analysis based on least-squares support vector regression

In the field of engineering, surrogate models are commonly used for approximating the behavior of a physical phenomenon in order to reduce the computational costs. Generally, a surrogate model is created based on a set of training data, where a typical method for the statistical design is the Latin hypercube sampling (LHS). Even though a space filling distribution of the training data is reached, the sampling process takes no information on the underlying behavior of the physical phenomenon into account and new data cannot be sampled in the same distribution if the approximation quality is not sufficient. Therefore, in this study we present a novel adaptive sampling method based on a specific surrogate model, the least-squares support vector regresson. The adaptive sampling method generates training data based on the uncertainty in local prognosis capabilities of the surrogate model - areas of higher uncertainty require more sample data. The approach offers a cost efficient calculation due to the properties of the least-squares support vector regression. The opportunities of the adaptive sampling method are proven in comparison with the LHS on different analytical examples. Furthermore, the adaptive sampling method is applied to the calculation of global sensitivity values according to Sobol, where it shows faster convergence than the LHS method. With the applications in this paper it is shown that the presented adaptive sampling method improves the estimation of global sensitivity values, hence reducing the overall computational costs visibly