Experiential learning or exploitation? Volunteering for work experience in the UK museums sector

Aspiring museums professionals often have to volunteer outside of formal study programmes in order to gain paid work in the UK museums sector. Volunteering for work experience however, has been largely ignored by previous studies of museum volunteers. This paper aims to provide an insight into the extent of volunteering for work experience and the experiences of these would-be museum workers. The paper presents the result of a postal questionnaire and interviews with both volunteers and managers. A key problem for museums is the resources needed to provide meaningful work experience. For volunteers, a worthwhile work experience placement appears to be almost entirely due to luck and finding a mentor. Voluntary experience therefore seems to be more about developing contacts than learning museum-specific skills. Recommendations are made for improving the volunteers’ experience.     

The looming crisis in federal records management

Federal records management faces many challenges today. Too few records, both in the traditional formats and the newer electronic ones, are being appraised or transferred to the National Archives when required. Although the National Archives and Records Administration has several major initiatives underway to remedy the problem, additonal actions must be taken as well.     

Do expenditures other than instructional expenditures affect graduation and persistence rates in American higher education?

During the last two decades, median instructional spending per full-time equivalent (FTE) student at American 4-year colleges and universities has grown at a slower rate than median spending per FTE student in a number of other expenditure categories, including academic support, student services and research. Our paper uses institutional level panel data and a variety of econometric approaches, including unconditional quantile regression methods, to analyze whether these non-instructional expenditure categories influence graduation and first-year persistence rates of undergraduate students.     

Evaluation of a personalized digital library based on cognitive styles: Adaptivity vs. adaptability

Personalization can be addressed by adaptability and adaptivity, which have different advantages and disadvantages. This study investigates how digital library (DL) users react to these two techniques. More specifically, we develop a personalized DL to suit the needs of different cognitive styles based on the findings of our previous work [Frias-Martinez, E., Chen, S. Y., & Liu, X. (2008) Investigation of behavior and perception of digital library users: A cognitive style perspective. International Journal of Information Management]. The personalized DL includes two versions: adaptive version and adaptable version. The results showed that users not only performed better in the adaptive version, but also they perceived more positively to the adaptive version. In addition, cognitive styles have great effects on users’ responses to adaptability and adaptivity. These results provide guidance for designers to select suitable techniques to develop personalized DLs.     

Collaborative filtering using orthogonal nonnegative matrix tri-factorization

Collaborative filtering aims at predicting a test user’s ratings for new items by integrating other like-minded users’ rating information. The key assumption is that users sharing the same ratings on past items tend to agree on new items. Traditional collaborative filtering methods can mainly be divided into two classes: memory-based and model-based. The memory-based approaches generally suffer from two fundamental problems: sparsity and scalability, and the model-based approaches usually cost too much on establishing a model and have many parameters to be tuned.     

A new design method based on artificial bee colony algorithm for digital IIR filters

Digital filters can be broadly classified into two groups: recursive (infinite impulse response (IIR)) and non-recursive (finite impulse response (FIR)). An IIR filter can provide a much better performance than the FIR filter having the same number of coefficients. However, IIR filters might have a multi-modal error surface. Therefore, a reliable design method proposed for IIR filters must be based on a global search procedure. Artificial bee colony (ABC) algorithm has been recently introduced for global optimization. The ABC algorithm simulating the intelligent foraging behaviour of honey bee swarm is a simple, robust, and very flexible algorithm. In this work, a new method based on ABC algorithm for designing digital IIR filters is described and its performance is compared with that of a conventional optimization algorithm (LSQ-nonlin) and particle swarm optimization (PSO) algorithm.     

Collaborative information seeking: A field study of a multidisciplinary patient care team

Multidisciplinary teams are an essential aspect of modern organizational work. These teams often work in information-rich environments but little is known about their collaborative information seeking (CIS) behavior. We have been studying the CIS behavior of teams in the context of medical care. We conducted an ethnographic field study of a multidisciplinary patient care team in an emergency department to identify (a) team information needs and (b) situations that trigger collaborative information seeking activities. We identified seven categories of information needs as expressed by questions asked by team members. The majority of questions focused on medical information, but there were a larger than expected percentage of questions focusing on organizational information. We also identified three triggers for CIS activities. These triggers are: (1) lack of expertise, (2) lack of immediately accessible information, and (3) complex information needs. The questions and triggers highlight the importance of face-to-face communication during CIS activities and how CIS activities could lead to interruptive workplaces. We also discuss organizational and technical implications for supporting CIS behavior of teams.     

Ranking of field association terms using Co-word analysis

Information retrieval involves finding some desired information in a store of information or a database. In this paper, Co-word analysis will be used to achieve a ranking of a selected sample of FA terms. Based on this ranking a better arranging of search results can be achieved. Experimental results achieved using 41 MB of data (7660 documents) in the field of sports. The corpus was collected from CNN newspaper, sports field. This corpus was chosen to be distributed over 11 sub-fields of the field sports from the experimental results, the average precision increased by 18.3% after applying the proposed arranging scheme depending on the absolute frequency to count the terms weights, and the average precision increased by 17.2% after applying the proposed arranging scheme depending on a formula based on “TF∗IDF” to count the terms weights.     

Patrick Geddes and Museum ideas in Dundee and Beyond

One of the first things Patrick Geddes did on taking up the post of Professor of Botany at University College, Dundee was to establish a botanical museum. Throughout his life museums were of great importance to him, and were central to his theories as an educationalist. The Outlook Tower in Edinburgh was the most famous demonstration of these theories, but this short introductory paper also looks at less well known aspects of them, such as his ground-breaking paper to the Museums Association conference in Dundee in 1907, his unpublished book.

Museums

Actual and Possible, and his attempts to win the directorship of the Edinburgh Museum of Science and Art.     

Agency problem, institutions, and technology policy: Explaining Taiwan's semiconductor industry development

Taiwan has made significant progress in the semiconductor industry with government agencies and bureaucrats as the driving forces over the past 30 years. Taiwan's impressive achievement in the semiconductor industry clearly indicates that the government failures and agency problem usually associated with deep government involvement did not occur in Taiwan. Why is that the case? This paper proposes a principal-agent framework for technology policy and applies the framework to discuss the institutional arrangements through which bureaucrats were controlled effectively in executing the semiconductor industry policies in Taiwan. By analyzing the institutional and organizational arrangements Taiwanese leaders made to mitigate the agency problem, this paper brings bureaucrats into the popular developmental state theory and emphasizes that the success of state intervention should not be taken for granted, and it also brings politics into technology policy analysis and stresses the importance and complexity of agency problem in technology policy.