In this Research to Practice Full Paper we investigate whether the application of metrics and indicators can contribute to monitor and verify if a project is performing better when developed using the Design Thinking ...
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ISBN:
(纸本)9781728117461
In this Research to Practice Full Paper we investigate whether the application of metrics and indicators can contribute to monitor and verify if a project is performing better when developed using the Design Thinking methodology. Furthermore, we investigate the most appropriate indicators to establish this measurement. To this end, we applied a questionnaire with ten questions, in order to verify the interviewees conceptual level about what is Design Thinking and what are the indicators. From the results, we sought to identify the perception of the interviewees about the use of indicators in Design Thinking, in a more profound way. The questionnaires were carried out in the e-survey format and the analyzes were carried out taking into account the interviewee level of education and the level of knowledge that he/she had in relation to Design Thinking and indicators. The results demonstrated the difficulty of defining specific indicators for projects that use Design Thinking since most of the interviewees did not demonstrate minimal conceptual knowledge regarding the methodology and the Design Thinking process, as well as the definition and application of indicators. However, it was possible to analyze a list of indicators as possible candidates for the application in projects that use Design Thinking, considering that few people have demonstrated to have the minimum conceptual knowledge on the subject and, therefore, this small group of people can not reflect the general context about what are the best indicators for measuring steps in the Design Thinking process.
In this paper we present a classification model for predicting cost slippage using data mining techniques. The model uses the initial planning of an ICT project in terms of budget and schedule and then predicts the ca...
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ISBN:
(纸本)9781450331968
In this paper we present a classification model for predicting cost slippage using data mining techniques. The model uses the initial planning of an ICT project in terms of budget and schedule and then predicts the category of cost slippage of the project. Three categories are distinguished where low slippage is considered normal, medium slippage requires attention, and large slippage requires action. The model was trained and validated with two data sets from the US Federal IT Dashboard and the Dutch Rijks-ICT-Dashboard, respectively that hold project data for large governmental ICT projects. The classification model is intended as a project management tool for sponsors and managers of large ICT projects in the public sector.
The Brazilian education methodology follows a very traditional pattern in the middle and high school years. Although it is very difficult to measure the degree of study between particular and public schools, the first...
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ISBN:
(纸本)9781728117461
The Brazilian education methodology follows a very traditional pattern in the middle and high school years. Although it is very difficult to measure the degree of study between particular and public schools, the first-year university students face many difficulties between the clash of very different teaching learning methods. This paper presents an analysis of Competitive Programming, a non-traditional approach based on the Algorithm Problem Solving method, applied to teaching first-year programming classes for the Computer Science course at the University of Brasilia (UnB). The main goal is to analyze if there is any correlation between the different teaching methods applied to this specific subject and an increased proficiency toward abilities that are useful not merely to programming, but also to group related projects in their future, such as proactivity and familiarity towards programming logic. The leading method of data acquiring was utilizing a questionnaire and the analysis by data provided by teachers, which brought an in-depth exploration about a disparity between the student's difficulty towards more advanced subjects when introduced with the two different teaching methods, and an improvement in both student's proactivity and familiarity regarding programming.
How should empirical researchers conduct controlled, remote lab studies in the uncontrolled, noisy conditions of each participant own home? Volatility in participant home environments, hardware, internet connection, a...
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ISBN:
(纸本)9781665414098
How should empirical researchers conduct controlled, remote lab studies in the uncontrolled, noisy conditions of each participant own home? Volatility in participant home environments, hardware, internet connection, and surrounding distractions takes the controlled out of controlled studies. This paper recounts our in-the-trenches mitigations for designing and conducting two complex controlled studies under COVID, in which participants, from home, interactively localized faults in an AI system. The studies with our COVID-era mitigations in 5 categories-Privacy/Security, Data Collection, Control, Technology Issues, Payment-ultimately produced crisp results beyond what we thought possible under such uncontrolled circumstances.
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