Blekinge Institute of Technology
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What Can Teachers Do to Make the Group Work Learning Effective : a Literature Review
Group work-based learning is encouraged in higher education on account of both ped-agogical benefits and industrial employers’s requirements. However, although a plenty ofstudies have been performed, there are still various factors that will affect students’ groupwork-based learning in practice. It is important for the teachers to understand which fac-tors are influenceable and what can be done to influence. This paper performs a literaturereview to identify the factors that has been investigated and reported in journal articles. Fif-teen journal articles were found relevant and fifteen factors were identified, which could beinfluenced by instructors directly or indirectly. However, more evidence is needed to sup-port the conclusion of some studies since they were performed only in one single course.Therefore, more studies are required on this topic to investigate the factors in differentsubject areas.
A data-driven design framework for early stage PSS design exploration
Ubiquitous and pervasive computing holds great potential in the domain of Product-Service Systems to introduce a model-driven paradigm for decision support. Data-driven design is often discussed as a critical enabler for developing simulation models that comprehensively explore the PSS design space for complex systems, linking of performances to customer and provider value. Emerging from the findings of two empirical studies conducted in collaboration with multinational manufacturing companies in the business-to-business market, this paper defines a data-driven framework to support engineering teams in exploring, early in the design process, the available design space for Product-Service Systems from a value perspective. Verification activities show that the framework and modeling approach is considered to fill a gap when it comes to stimulating value discussions across functions and organizational roles, as well as to grow a clearer picture of how different disciplines contribute to the creation of value for new solutions
Use of Agile Practices in Start-ups
Context. Software start-ups have shown their ability to develop and launch in- novative software products and services. Small, motivated teams and uncertain project scope makes start-ups good candidates for adopting Agile practices. Objective. We explore how start-ups use Agile practices and what effects can be associated with the use of those practices. Method. We use a case survey to analyze 84 start-up cases and 56 Agile prac- tices. We apply statistical methods to test for statistically significant associa- tions between the use of Agile practices, team, and product factors. Results. Our results suggest that backlog, version control, refactoring, and user stories are the most frequently reported practices. We identify 22 associations between the use of Agile practices, team, and product factors. The use of Agile practices is associated with effects on source code and overall product quality. A teams’ positive or negative attitude towards best engineering practices is a significant indicator for either adoption or rejection of certain Agile practices. To explore the relationships in our findings, we set forth a number of propositions that can be investigated by future research. Conclusions. We conclude that start-ups use Agile practices, however without following any specific methodology. We identify the opportunity for more fine- grained studies into the adoption and effects of individual Agile practices. Start- up practitioners could benefit from Agile practices in terms of better overall quality, tighter control over team performance and resource utilization
Evaluating Business Intelligence Software : Testing the SSAV Model
Choosing the right Business Intelligence (BI) software is critical to increasing productivity and effectiveness in organizations today. At the same time it is a very elaborating and complex process to choose the right software due to the fact that a large number of BI products exist on the market, which are quite different and updated frequently. The objective of this study is to develop and test a model for the evaluation of BI Software. The findings of the study revealed that it is difficult to declare what is the most competitive BI software as what is good for one user might not be good for another depending on their different business needs. Having said that the study initiated a new classification of BI Software vendors depending on the degree to which they comply with the functions in the Competitive Intelligence (CI) cycle. The software tested was divided into five categories: Fully complete, Complete, Semi Complete, Incomplete and Insubstantial. We conclude that the SSAV (Solberg Søilen, Amara, Vriens) Model Together with some proposed non technological variables and a classification developed can be used as a user's selection tool for deciding which BI Software to purchase
The rank condition and strong rank conditions for Ore extensions
Let R be a ring, σ : R → R a ring endomorphism, and δ a σ-derivation. We establish that the Ore extension R[x; σ, δ] satisfies the rank condition if and only if R does. In addition, we prove analogous results for the right and left strong rank conditions. However, in the right case, the "if" part requires the hypothesis that σ is an automorphism, whereas, in the left case, this assumption is needed for the "only if" part. Finally, we provide a new proof of an old result of Susan Montgomery stating that a skew power series ring is directly (respectively, stably) finite if and only if its coefficient ring is directly (respectively, stably) finite