The effects of task type on the patterns of communication behaviors among global software student teams

A key factor in the success of global software development learning teams is the communication that occurs among the group. Various task characteristics, however, may affect the both the quality and quantity of the group communication. This study investigates the effects of task type on the communication behaviors of student teams engaged in a software development project. Two groups of teams completed assignments that varied in degree of task type and product. Content analysis was used to identify distinct patterns of interactions and examine how these patterns were associated with task type. Results indicate that differences in task context and product do not have large effects on the communication behaviors of global software teams. These findings will provide a basis for creating instruction that can help maximize successful communication among global software learning teams

Dynamics of collaborative work in global software development environment.

This study aims to explore the dynamics of collaborative work in global software development projects. The study explored the nature of collaboration, the patterns of collaborative behaviors in different tasks in computer science, and the impact of the tasks to the collaboration among students. Four different collaborative software development tasks were assigned to the globally distributes teams. The study used data from 230 students from five universities, namely Atilim University (Turkey), Middle East Technical University (Turkey), Universidad Tecnológica de Panamá (Panama), University of North Texas (US), and Middlesex University (UK). The findings involve the recommendations for building effective collaborative working environments and guidelines for building collaborative virtual communities

Using data analytics for collaboration patterns in distributed software team simulations: the role of dashboards in visualizing global software development patterns

This paper discusses how previous work on global software development learning teams is extended with the introduction of data analytics. The work is based on several years of studying student teams working in distributed software team simulations. The scope of this paper is twofold. First it demonstrates how data analytics can be used for the analysis of collaboration between members of distributed software teams. Second it describes the development of a dashboard to be used for the visualization of various types of information in relation to Global Software Development (GSD). Due to the nature of this work, and the need for continuous pilot studies, simulations of distributed software teams have been created with the participation of learners from a number of institutions. This paper discusses two pilot studies with the participation of six institutions from two different countries

Exploring collaboration patterns among global software development teams.

This study examines communication behaviors in global software student teams. The authors of the paper characterize the types of communication behaviors that occur when student teams are engaged in a software development project. The authors present findings from a one-semester study that examined factors contributing to successful distributed programming interactions among students enrolled at the University of Atilim (Turkey), Universidad Tecnológica de Panamá, University of North Texas, and Middlesex University (UK). Using content and cluster analyses techniques, we identified distinct patterns of collaboration and examined how these patterns were associated with task, culture, GPA, and performance of collaborative teams. Our results suggest that communication patterns among global software learners may be related to task type, culture and GPA. It is hoped that these findings will lead to the development of new strategies for improving communication among global software teams

Creating smarter teaching and training environments: innovative set-up for collaborative hybrid learning

This paper brings together previous work from a number of research projects and teaching initiatives in an effort to introduce good practice in setting up supportive environments for collaborative learning. The paper discusses prior use of social media in learning support, the role of dashboards for learning analytics in Global Software Development training, the use of optical head-mounted displays for feedback and the use of NodeXl visualization in managing distributed teams. The scope of the paper is to provide a structured approach in organizing the creation of smarter teaching and training environments and explore ways to coordinate learning scenarios with the use of various techniques. The paper also discusses challenges from integrating multiple innovative features in educational contexts. Finally the paper attempts to investigate the use of smart laboratories in establishing additional learning support and gather primary data from blended and hybrid learning pilot studies

Uplifting manhood to wonderful heights? News coverage of the human costs of military conflict from world war I to Gulf war Two

Domestic political support is an important factor constraining the use of American military power around the world. Although the dynamics of war support are thought to reflect a cost-benefit calculus, with costs represented by numbers of friendly war deaths, no previous study has examined how information about friendly, enemy, and civilian casualties is routinely presented to domestic audiences. This paper establishes a baseline measure of historical casualty reporting by examining New York Times coverage of five major wars that occurred over the past century. Despite important between-war differences in the scale of casualties, the use of conscription, the type of warfare, and the use of censorship, the frequency of casualty reporting and the framing of casualty reports has remained fairly consistent over the past 100 years. Casualties are rarely mentioned in American war coverage. When casualties are reported, it is often in ways that minimize or downplay the human costs of war

Exploring the communication behavior among global software development learners.

This study examines communication behaviors in global software learning teams. Using a coding scheme developed in previous research [11], the paper characterizes the types of communication behaviors that occur when student teams are engaged in a software development project. We report on the results of two sets of pilot projects; one with students residing in England and the United States, and a second with students located in Turkey, Panama, and the United states. Through content analysis we identify distinct patterns of interactions and examine how these patterns are associated with task, culture, or performance. Our results suggest that communication patterns among global software learners may be related to task type, culture and levels of performance. It is hoped that these findings will provide a basis for selecting intervention strategies that can either maximize or minimize the factors that affect successful communication