Orientadora: Profa. Dra. Itana Stiubiener / Dissertação (mestrado) - Universidade Federal do ABC, Programa de Pós-Graduação em Ciência da Computação, 2016. / No processo de ensino e aprendizagem à distância os professores e tutores são atores fundamentais, uma vez que estimulam o aprendizado e a participação dos alunos, assumindo o papel de mediadores deste processo. Assumindo-se que esta modalidade de educação depende do seu bom desempenho nos ambientes virtuais de aprendizagem, seja no atendimento das dúvidas, na produção de conteúdo, na correção de atividades ou na verificação de acessos, se faz necessário que haja informações à disposição dos gestores dos ambientes e processos EaD para um acompanhamento mais efetivo desses processos. Esse acompanhamento apresenta diversas lacunas a saber: falta de experiência prévia dos professores e dos tutores, quantidade excessiva de alunos e de atividades, entre outras. O AVA Moodle oferece algumas ferramentas com recursos de Learning Analytics, porém, estas ferramentas retornam somente uma visão parcial por curso/contexto, o que dificulta o processo de gestão. Este trabalho apresenta uma proposta para auxiliar os professores a terem uma visão holística, integrada e transversal da participação dos seus alunos e aos gestores de todas as atividades desenvolvidas nos AVA's das ações dos professores, tutores e alunos nesses ambientes. Após a observação da dificuldade de obtenção dessas informações através de um estudo de caso desenvolvido em uma instituição de ensino foi proposta e desenvolvida uma ferramenta com o intuito de fornecer as informações necessárias aos professores em relação à participação de seus alunos, agrupadas por cursos vinculados ao mesmo e também fornecer relatórios aos gestores em relação às ações dos professores, tutores e alunos, obtidos através da utilização dessa ferramenta em um ambiente virtual de aprendizagem Moodle com cursos em andamento. / In the process of teaching and distance learning education tutors are key actors, since they stimulate learning and participation of students, taking on a role as mediators of this knowledge. Assuming this type of education depends on the good performance of tutors in virtual learning environments, considering in attendance, the activities of correction or the access frequency, it is necessary to have information available to managers from the environments of distance learning processes for more effective monitoring of these processes. Such monitoring has several gaps namely: lack of previous experience of teachers and tutors, excessive number of students and activities, among others. The (AVA) Moodle offers some tools Learning Analytics features, however, these tools only return a partial view of the course / context, which makes the management process difficult. This paper presents a proposal to help teachers to have a holistic, integrated and cross-sectional view of the participation of their students and managers of all activities in AVA's, the actions of teachers, tutors and students in these environments. After observing the difficulty of obtaining this information through a case study developed in an educational institution it was proposed and developed a tool in order to provide the necessary information to teachers regarding the participation of their students, grouped by courses linked to same and also to provide reports to managers in relation to the actions of teachers, tutors and students, obtained from the use of this tool in a Moodle virtual learning environment with courses in progress.

As formigas são criaturas fascinantes que, além dos avanços na biologia também inspiraram pesquisas sobre teoria da informação. Em particular, o estudo resultou na criação da Teoria da Forragem de Informação, que descreve como os agentes de buscam informações em seu ambiente. Esta teoria também explica fenômenos recentes e bem-sucedidos, como crowd sourcing. Crowdsourcing tem sido aplicado a muitas atividades em engenharia de software, incluindo desenvolvimento, tradução e testes, mas uma atividade parece resistir: depuração. No entanto, os desenvolvedores sabem que a depuração pode exigir dedicação, esforço, longas horas de trabalho, por vezes, para mudar uma linha de código único. Nós introduzimos o conceito de Depuração em Enxame, para trazer crowd sourcing para a atividade de depuração. Através de crowd sourcing, pretendemos ajudar os desenvolvedores, capitalizando a sua dedicação, esforço e longas horas de trabalho para facilitar atividades de depuração. Mostramos que a depuração enxame requer uma abordagem específica para recolher informações relevantes, e descrevemos sua infra-estrutura. Mostramos também que a depuração em enxame pode reduzir o esforço desenvolvedores. Concluímos com as vantagens e limitações atuais de depuração enxame, e sugerir caminhos para superar estas limitações e ainda mais a adoção de crowd sourcing para atividades de depuração. / Ants are fascinating creatures that beyond the advances in biology have also inspired research on information theory. In particular, their study resulted in the creation of the Information Foraging Theory, which describes how agents forages for information in their environment. This theory also explains recent and fruitful phenomena, such as crowdsourcing. Many activities in software engineering have applied crowdsourcing, including development, translation, and testing, but one action seems to resist: debugging. Developers know that debugging can require dedication, effort, long hours of work, sometimes for changing one line of code only. We introduce the concept of Swarm Debugging, to bring crowdsourcing to the activity of debugging. Through crowdsourcing, we aim at helping developers by capitalizing on their dedication, effort, and long hours of work to ease debugging activities of their peers or theirs, on other bugs. We show that swarm debugging requires a particular approach to collect relevant information, and we describe the Swarm Debugging Infrastructure. We also show that swarm debugging minimizes developers effort. We conclude with the advantages and current limitations of swarm debugging and suggest directions to overcome these limitations and further the adoption of crowdsourcing for debugging activities.

Submitted by Marilene Donadel (marilene.donadel@unioeste.br) on 2017-10-30T21:48:58Z No. of bitstreams: 1 Hermes_J_Inacio_2017.pdf: 1369528 bytes, checksum: 9f1cec87ee533d67c3b814487f544b56 (MD5) / Made available in DSpace on 2017-10-30T21:48:58Z (GMT). No. of bitstreams: 1 Hermes_J_Inacio_2017.pdf: 1369528 bytes, checksum: 9f1cec87ee533d67c3b814487f544b56 (MD5) Previous issue date: 2017-03-30 / This work had the main goal of analyzing the process of implementation of the Business Intelligence tool (BI) in a small company of the retail area of the construction of the West of Paraná (Brazil). As secondary objectives were raised the main limiters that restrict the implementation of the tool, it was evaluated the contribution of the Business Intelligence tool to the performance of the organization, and propose an implementation model for small companies. Therefore, we used the case study method with direct observation and interviews with the managers and collaborators who use the tool. The results obtained in the study demonstrated that there are several limitations to the implementation of Business Intelligence in small companies, among them, hardware and software limitation, process limitations and limitation of human resources. Such limitations can easily be overcome through the use of a model, which contemplates a flow of activities to be followed, demonstrating that the benefits generated by the tool for the performance of these organizations are notorious. Thus, the study was justified by the contribution that Business Intelligence brings to the performance of small companies, besides contributing directly to regional development through the role of employment creation, income and taxes of these enterprises. / Este trabalho teve como objetivo analisar o processo de implantação da ferramenta Inteligência de Negócio (IN) em uma empresa de pequeno porte da área de varejo da construção do Oeste do Paraná (Brasil). Como objetivos secundários foram levantados os principais limitadores que restringem essa implementação, foi avaliada a contribuição da ferramenta Inteligência de Negócio para o desempenho da organização, além de ser proposto um modelo de implementação para empresas de pequeno porte. Para tanto foi utilizado o método de estudo de caso com observação direta e entrevistas com os gestores e colaboradores que utilizam a ferramenta. Os resultados obtidos no estudo demonstram que existem diversas limitações para a implantação da Inteligência de Negócio em pequenas empresas, dentre eles, limitação de hardware e software, limitações de processo e limitação de recursos humanos. Tais limitações podem ser superadas facilmente a partir da utilização de um modelo que contemple um fluxo de atividades a ser seguido, demonstrando que são notórios os benefícios gerados pela ferramenta para o desempenho destas organizações. Desta forma, o estudo justificou-se pela contribuição que a Inteligência de Negócio traz para o desempenho das pequenas empresas, além de contribuir diretamente com o desenvolvimento regional pelo papel de geração de emprego, renda e tributos destes empreendimentos.

BI, business intelligence, which means to collect and analyse data to inform business decisions, is a concept that has grown to be a significant part of business development. In most cases, a storage platform is necessary to provide data from the companies’ different data sources to the BI-tools. There are different ways of doing this. Some of them are by the help of a data lake, a data warehouse or a combination of both. By taking this into consideration the purpose of this study is to create an architectural design of a storage platform for small and medium-sized enterprises (SME). To be able to formulate a result which holds as high validity and reliability as possible, this study conducts both a literature and a case study. The case study has taken place at an IT service company which classifies as a SME and the working methodology has been an agile approach with scrum as reference. This method was chosen to be able to efficiently follow the customer demands.  The architecture provided consists of a combination of a data hub, which acts as a data lake, and a data warehouse. The data hub differs from a data lake by harmonizing and indexing data, which makes it easier to handle. Regarding the intension of the data warehouse, it is to yield relevant and processed data to BI-tools. The architecture design of the platform that has been developed in this study cannot be said to be applicable by all companies. Instead, it can be a basis for companies that are thinking about creating a data platform. / BI, Business intelligence, vilket betyder att samla och analysera data som beslutsstöd, har växt till att vara en betydande del inom företagsutveckling. För att möjliggöra för BI krävs ofta att en datalagringsplattform tillhandahåller data från verksamhetens datakällor. Det finns olika sätt att göra detta, men några av dem är med hjälp av en datasjö, ett datalager eller en kombination av båda. Mot bakgrund av detta, har den här studien syftat till att framställa en övergripande arkitektur som lämpar sig till små  och medelstora företag (SMF). För att frambringa ett resultat med så  hög validitet och reliabilitet som mö jligt baseras studien på  både en litteraturstudie och en fallstudie. Fallstudien har genomförts på  ett IT-konsultföretag som klassas som SMF och arbetsmetodiken har varit agil och baserats pa  scrum. Denna metod valdes för att på  ett effektivt sä tt säkerställa att kundens krav uppfylldes. Den arkitektur som föreslagits är en kombination mellan en datahubb, vilket verkar som en datasjö , och ett datalager. Datahubben skiljer sig från datasjön eftersom den harmoniserar och indexerar data, vilket gör den enklare att hantera. Rörande datalagret, ämnar det tillgodose bearbetad och relevant data för BI-verktyg. Den övergripande arkitektur som presenteras anses inte vara applicerbar för alla verksamheter, men kan användas som en grund för verksamheter som tänker implementera en lagringsplattform.

Syfte – Syftet med detta examensarbete är utreda vilka kriterier som är viktiga innan valet av ett BI-system för mindre företag med 10–30 anställda. Vidare så är ett annat syfte att hitta ett lämpligt BI-verktyg som är passande för mindre företag med 10–30 anställda.   Metod – Författarna har använt sig av semistrukturerade intervjuer och litteraturstudier för att sedan jämföras med varandra. De kvalitativa intervjuerna har genomförts genom att intervjua BI-experter från fem olika mindre företag. Litteraturstudier bestod av vetenskapliga artiklar, kurslitteratur och webbplatser inom studiens ämnesområde.   Resultat – Resultatet av detta examensarbete är framtagna kriterier och förslag på BI-verktyg, vid val av BI-system för mindre företag med 10–30 anställda   Implikationer – De framkomna resultaten i detta examensarbete tyder på att det finns brister på vad som är viktigt att tänka på inför framtida investering av ett BI-system anpassat för små organisationer på 10–30 anställda. Det saknas också kunskap gällande vilket BI-verktyg som är lämpligt för små organisationer på 10–30 anställda. Detta examensarbete riktar sig främst till mindre företag som är intresserade av att inskaffa ett BI-system till sin organisation.   Begränsningar – På grund av tidsbrist så höll författarna fem semistrukturerade intervjuer med BI-experter på fem olika företag med 10–30 anställda.   Nyckelord – Business Intelligence, beslutstagande, kriterier, mindre företag, system. / Purpose – The purpose of this thesis was to investigate which criteria that are vital before the choice of BI-system for small companies with 10-30 employees. Furthermore, to find an appropriate BI-tool that is applicable for small companies with 10-30 employees.   Method – The authors have used semi-structured interviews and literature studies. The qualitative interviews have been conducted by interviewing BI-experts from five smaller companies. The literature review consisted of scientific articles, course literature, and relevant web-pages.   Findings – The findings of this thesis are a production of criteria and a proposal on BI-tool, in the choice of BI-system for smaller companies with 10-30 employees.   Implications – The produced findings of this thesis indicate that there are gaps in what are essential to think of, before a future investment of a BI-system that is suitable for smaller companies with 10-30 employees. Furthermore, there is limited research about which BI-tool that is appropriate for smaller companies with 10-30 employees. This thesis is directed towards smaller companies that are interested in acquiring a BI-system to their organization.   Limitations – This thesis was limited by time constraints, that is why the authors remained their focus on companies with 10-30 employees.   Keywords – Business Intelligence, decision-making, criteria, smaller companies, system.

With the increasing amount of valuable data that companies have access to the need for tools visualizing this data have reached a wider group of users, many of which are not tech-savvy. Self-service Business Intelligence applications aim to meet this need and many guidelines regarding the general design of Business Intelligence have been produced in recent years. In this thesis some of these guidelines are interpreted and applied during the development of a Qlik Sense application for the Device Connection Platform department at Ericsson. The purpose of this thesis is to produce more specific guidelines that aim to complement existing general guidelines on Self-service Business Intelligence design; guidelines that should be taken into account when developing Qlik Sense applications. As a result, five guidelines that concerns conditional dimensions, screen resolutions, naming conventions for master items, the data layer and Qlik Sense conventions for visualizations are presented. Pros and cons regarding these guidelines are discussed along with alternative approaches. The conclusion states that the general guidelines interpreted in this project work were helpful for the workflow and readability of the application, but that more specific guidelines such as the ones presented in the result could be well needed when it comes to customizabil ity and flexibility for end users. / Allt eftersom mängden värdefull data som företag har tillgång till ökar har behovet av verktyg som visualiserar dessa data nått en bredare grupp användare, där många är mindre tekniskt kunniga. Self-service Business Intelligence applikationer syftar till att möta detta behov och många generella riktlinjer för hur sådana applikationer ska designas har tagits fram under senare år. I denna rapport blir dessa riktlinjer tolkade och därefter applicerade under tiden av skapandet av en Self-service Business Intelligence applikation i mjukvaran Qlik Sense och för Ericsson Device Connection Platform. Syftet med rapporten är att utforma och presentera specifika riktlinjer för Qlik Sense att användas som komplement till de existerande och mer generella riktlinjerna för design av Self-service Business Intelligence i allmänhet. Rapportens resultat består av fem riktlinjer som avser villkorliga dimensioner, skärmupplösning, namnkonventioner för original, datalagret och Qlik Sense egna konventioner för visualiseringar. Föroch nackdelar med de framtagna riktlinjerna diskuteras tillsammans med alternativa tillvägagångssätt. Vi drar slutsatsen att de generella riktlinjerna som tolkats genom projektet i denna rapport var speciellt hjälpfulla för att uppnå läsbarhet och ett bra arbetsflöde för slutanvändaren i applikationen. Vidare konstateras att fler mjukvaruspecifika riktlinjer kan vara välbehövliga när det kommer till anpassningsbarhet av applikationer och flexibilitet för slutanvändare.

För att alltid kunna erbjuda sina tjänster som ett finansiellt institut så är det viktigt att alltid vara informerad och uppdaterad när nya regelverk träder i kraft. Idag bidrar det till höga kostnader då det till stor del sker med humanitär kraft. För att se i vilken mån det går att effektivisera med hjälp av artificiell intelligens eller maskininlärning gjordes en litteraturstudie för att detta. Undersökningen visade att maskininlärning var den bäst lämpade metoden för denna problemställning. Arbetet hade inte de mest optimala förutsättningar för att få så säkert resultat som möjligt, trots detta visade resultatet på god förmåga att kunna klassificera produkter mot regelverk. Möjligheten till att applicera maskininlärning eller artificiell intelligens är god men det är viktigt med extremt stora mängder tränings- och testdata för att kunna effektivisera finansbranschen. / To always be able to offer their services as a financial institution, it’s important for them to always stay informed and updated when new regulations come into force. Today it contributes to high costs, largely due to humanitarian power. A literature study was performed to see as to what extent artificial intelligence or machine learning could be used to reduce the problem. The result of the study showed that machine learning was the best suited method for this problem. There were not the most optimal conditions to achieve the best possible result, despite that, the result gave promising ability to classify products to regulations. The possibility of applying machine learning and artificial intelligence is good but it is important to have extremely large amounts of training and test data in order to make the financial industry more effective.

碩士 / 國立臺灣師範大學 / 國際人力資源發展研究所 / 105 / Rapid globalization, technological advancement, and increased market competitiveness have driven changes in the nature of employment, organizations and employment communications. Under such circumstances, people have been moving to other countries for work, school, pleasure etc., forming an internationally integrated society, seeking opportunities in the global market. This study examines the relationship between Institutional distance, personality, cultural intelligence and adjustment. Hierarchical regression analysis conducted on data from 401 college level international students- after controlling for age and gender show significant links between (a) cultural intelligence and adjustment; (b) institutional distance and personality; and (c) personality and adjustment. The important finding in this study is the complete moderation of the personality type (openness to experience) on the relationship between institutional distance and cross-cultural adjustment. This study contributes to the literature on adjustment of internationals, within the Taiwan context, to help facilitate better working arrangement between host nationals and international students.

The diploma thesis focuses on the creation of a business plan in the field of construction of an operational building, which is used for renting free space, for storage and for setting up a locksmith and metalworking workshop. The thesis contains a theoretical description of the business plan and the necessary analyzes. The practical part focuses on the business plan itself consisting of the construction of a new building and the transfer of existing locksmiths' production into their own business premises and the extension of the offered services of metalworking. In conclusion, the business plan is assessed, considering its feasibility under realistic conditions and determining the point of reversal in the implementation of the business plan.

The target of the thesis is to propose an appropriate information system that ensures the implementation of the business strategy for the garden division of the company AGRO CS a.s. Specifically it targets evaluating the use of enterprise information systems and the application of business intelligence according to the information base describing the company's business strategy. The thesis is divided into three parts. The first one is the theoretical part that outlines the methods used for analysing the business strategy and the theory background about business strategy itself. It also contains information system theory. The second part, the analysis part, presents the company and is based on the theoretical part. It also implements methods used for analysing the business strategy and analysing the appropriateness of the use of EIS systems or business intelligence applications. In the last part, the proposal part, an appropriate EIS or BI system is chosen based on consultations, requirements and targets that are the outcome of the previous part.