35 research outputs found

    An intelligent tutor for the space domain

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    An intelligent tutoring system for the space domain is described. This system was developed on a Xerox 1108 using LOOPS and provides an environment for discovering principles of ground tracks as a direct function of the orbital elements. Some of the more practical design and implementation issues associated with the development of intelligent tutoring systems are examined. Some solutions to the problems and some suggestions for future research are offered

    Dynamics of collaborative work in global software development environment.

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    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

    Exploring collaboration patterns among global software development teams.

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    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

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

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    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

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

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    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

    Learning theory and political socialization

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    A Discussion of Past Programming Errors and Their Effect on Learning Assembly Language

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    This study examines the question of whether it is possible to improve students ’ programming ability through repeated exposure to common programming errors. More specifi-cally, it catalogs recurring errors in IBM 360/370 assembly language. The authors then use this information to test whether students who receive information and instruction concerning common errors have fewer programming errors than students receiving no such treatment. Results indicate that there is no significant difference between the two groups of students. These results seem to suggest that practice, more than instruction, is important in teaching students to find and correct programming errors
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