An Exploratory Study of Lecturers' Views of Out-of-class Academic Collaboration Among Students

This article reports an exploratory study of lecturers' perceptions of out-of-class academic collaboration (OCAC) among students at a large Singapore university. Two types of OCAC were investigated: collaboration initiated by students, e.g., groups decide on their own to meet to prepare for exams, and collaboration required by teachers, e.g., teachers assign students to do projects in groups. Data were collected via one-on-one interviews with 18 faculty members from four faculties at the university. Findings suggest that OCAC, especially of a teacher-required kind, is fairly common at the university. Faculty members' views on factors affecting the success of OCAC are discussed for the light they might shed on practices to enhance the effectiveness of OCAC

Spreadsheet knowledge: An exploratory study

Spreadsheets are the most commonly used tool for end user development of applications, and organizations depend heavily upon them for decision making. This paper reports on a study to investigate the role of spreadsheet knowledge in the successful use of spreadsheet applications. It considers both the spreadsheet knowledge of the user developer and the spreadsheet knowledge of the user and tests a model of the effect of spreadsheet knowledge on the success of a user-developed spreadsheet application. Spreadsheet knowledge was shown to be important in two ways. It influences the quality of the system being developed, but it also acts directly upon the individual impact of the application. Successful use appears to require sufficient knowledge to understand and, if necessary, alter the application

An Exploratory Study of Field Failures

Field failures, that is, failures caused by faults that escape the testing phase leading to failures in the field, are unavoidable. Improving verification and validation activities before deployment can identify and timely remove many but not all faults, and users may still experience a number of annoying problems while using their software systems. This paper investigates the nature of field failures, to understand to what extent further improving in-house verification and validation activities can reduce the number of failures in the field, and frames the need of new approaches that operate in the field. We report the results of the analysis of the bug reports of five applications belonging to three different ecosystems, propose a taxonomy of field failures, and discuss the reasons why failures belonging to the identified classes cannot be detected at design time but shall be addressed at runtime. We observe that many faults (70%) are intrinsically hard to detect at design-time

An Exploratory Study of Patient Falls

Debate continues between the contribution of education level and clinical expertise in the nursing practice environment. Research suggests a link between Baccalaureate of Science in Nursing (BSN) nurses and positive patient outcomes such as lower mortality, decreased falls, and fewer medication errors. Purpose: To examine if there a negative correlation between patient falls and the level of nurse education at an urban hospital located in Midwest Illinois during the years 2010-2014? Methods: A retrospective crosssectional cohort analysis was conducted using data from the National Database of Nursing Quality Indicators (NDNQI) from the years 2010-2014. Sample: Inpatients aged ≥ 18 years who experienced a unintentional sudden descent, with or without injury that resulted in the patient striking the floor or object and occurred on inpatient nursing units. Results: The regression model was constructed with annual patient falls as the dependent variable and formal education and a log transformed variable for percentage of certified nurses as the independent variables. The model overall is a good fit, F (2,22) = 9.014, p = .001, adj. R2 = .40. Conclusion: Annual patient falls will decrease by increasing the number of nurses with baccalaureate degrees and/or certifications from a professional nursing board-governing body

Grouping & regrouping using Mixintools: An exploratory study

On a regular basis, teachers find it necessary to place children into groups for instruction. Random assignment is typically the norm when group composition is immaterial to the task. When member-sensitive groups need to be created, teachers might associate specific assignment with colours, numbers or other coding systems. Mixintools offers the teacher a strategy for creating groups in an enjoyable, expedient and variable fashion. Or does it? The purpose of this research was to determine whether the resource had any value from the perspective of both the teacher and the student. Data were sourced from three primary schools and one university teacher education class regarding the usefulness of Mixintools. Results indicated a mixed response. Reasons for this are reported

Retailers and deprivation: an exploratory study

Relationships between retailing and socio-economic deprivation have attracted academic and policy interest, notably focusing on health and diet (including 'food deserts') and retail-led regeneration. Recently, particularly after the economic downturn, declining high streets have been a concern. Yet as shop vacancies rose, especially in poorer neighbourhoods, expansion of certain trades perceived by some as anti-social became a concern: notably high-interest lenders and bookmakers operating high stakes gambling machines. Some suggest predatory motives and exploitation of the disadvantaged here, but with little evidence. This paper analyses locations of 'problematic' trades together with other businesses to establish the extent to which concentrations in deprived areas (defined by the English Index of Multiple Deprivation) exist. Several 'problematic' trades do appear concentrated in deprived areas, but so equally do conventional value retailers and poundshops. Areas for future research to clarify relationships are identified, but ultimately motive cannot be inferred from such analysis

Automated schema matching techniques: an exploratory study

Manual schema matching is a problem for many database applications that use multiple data sources including data warehousing and e-commerce applications. Current research attempts to address this problem by developing algorithms to automate aspects of the schema-matching task. In this paper, an approach using an external dictionary facilitates automated discovery of the semantic meaning of database schema terms. An experimental study was conducted to evaluate the performance and accuracy of five schema-matching techniques with the proposed approach, called SemMA. The proposed approach and results are compared with two existing semi-automated schema-matching approaches and suggestions for future research are made

Worker Morale in Russia: An Exploratory Study

Despite unanimous agreement in the existing literature that morale influences employee performance, no well-defined measure of morale exists. Our study develops a robust measure of morale and focuses on the factors that influence morale among Russian workers. Survey data were collected from Russian employees at two different points in time, 1995 and 2002, in five Russian cities. Among the workers participating in our study, expectation of receiving a desired reward contributes to high morale, with expected monetary rewards having a larger influence than expected non-monetary rewards, but praise for a job well done and a feeling of accomplishment also contribute positively to employee morale. There is a significant correlation between positive attitudes toward work and morale, and a positive correlation between performance assessment and morale. Demographic characteristics (age and gender) have no discernable influence on morale when controls are included for work experience.http://deepblue.lib.umich.edu/bitstream/2027.42/57196/1/wp816 .pd

Rationale in Development Chat Messages: An Exploratory Study

Chat messages of development teams play an increasingly significant role in software development, having replaced emails in some cases. Chat messages contain information about discussed issues, considered alternatives and argumentation leading to the decisions made during software development. These elements, defined as rationale, are invaluable during software evolution for documenting and reusing development knowledge. Rationale is also essential for coping with changes and for effective maintenance of the software system. However, exploiting the rationale hidden in the chat messages is challenging due to the high volume of unstructured messages covering a wide range of topics. This work presents the results of an exploratory study examining the frequency of rationale in chat messages, the completeness of the available rationale and the potential of automatic techniques for rationale extraction. For this purpose, we apply content analysis and machine learning techniques on more than 8,700 chat messages from three software development projects. Our results show that chat messages are a rich source of rationale and that machine learning is a promising technique for detecting rationale and identifying different rationale elements.Comment: 11 pages, 6 figures. The 14th International Conference on Mining Software Repositories (MSR'17