10 research outputs found
Programa de intervención en representaciones de creatividad y motivación académica de adolescentes
Creativity and its promotion are widespread concerns in education. However, few efforts have been made to implement
intervention programs designed to promote creativity and other related aspects (e.g., academic motivation). The Future Problem Solving
Program International (FPSPI), aimed for training creativity representations and creative problem solving skills in young people, has
been one of the most implemented programs. This intervention’s materials and activities were adapted for Portuguese students, and
a longitudinal study was conducted. The program was implemented during four months, in weekly sessions, by thirteen teachers.
Teachers received previous training for the program and during the program’s implementation. Intervention participants included
77 Basic and Secondary Education students, and control participants included 78 equivalent students. Pretest-posttest measures of
academic motivation and creativity representations were collected. Results suggest a significant increase, in the intervention group,
in motivation and the appropriate representations of creativity. Practical implications and future research perspectives are presented.A criatividade e sua promoção geram grande preocupação em educação. Contudo, poucos esforços têm existido para
implementar programas destinados a sua promoção e de outros aspetos relacionados (e.g., motivação acadêmica). O Future Problem
Solving Program International (FPSPI), criado para melhorar as representações de criatividade e a resolução criativa de problemas
em jovens, tem sido um dos mais implementados. Os seus materiais e atividades foram adaptados para estudantes portugueses,
efetuando-se um estudo longitudinal. O programa foi implementado durante quatro meses, semanalmente, por treze professores, que
receberam formação antes e durante a implementação. O grupo experimental incluiu 77 estudantes do Ensino Básico e Secundário,
apresentando o grupo de controlo 78 estudantes com características equivalentes. Os dados sobre a motivação e criatividade foram
recolhidos num pré e pós-teste. Os resultados sugerem um aumento significativo na motivação e crenças apropriadas de criatividade
no grupo experimental. Implicações práticas e perspectivas para investigações futuras são apresentadas.La creatividad y su promoción generan gran preocupación en educación. Sin embargo, han sido llevados a cabo pocos
esfuerzos para implementar programas de promoción de la creatividad y otros aspectos (e.g., motivación académica). El Future
Problem Solving Program International (FPSPI), creado para mejorar las representaciones de creatividad y la solución creativa de
problemas en jóvenes, ha sido bastante implementado. Se adaptaron sus materiales y actividades para estudiantes portugueses, y
se desarrolló un estudio longitudinal. El programa se implementó semanalmente durante cuatro meses por trece profesores, que
recibieron formación antes y durante la implementación. El grupo experimental incluyó 77 estudiantes de Educación Primaria y
Secundaria y el grupo de control incluyó 78 estudiantes con características semejantes. Los datos de motivación y creatividad fueron
recogidos en un pre y post-test, sugiriendo un aumento significativo de motivación y creencias apropiadas sobre la creatividad en el
grupo experimental. Se presentan implicaciones prácticas y perspectivas para futuras investigaciones.Fundação para a Ciência e a Tecnologia (FCT) - SFRH/BPD/80825/201
Interactive Data-Driven Process Model Construction
\u3cp\u3eProcess discovery algorithms address the problem of learning process models from event logs. Typically, in such settings a user’s activity is limited to configuring the parameters of the discovery algorithm, and hence the user expertise/domain knowledge can not be incorporated during traditional process discovery. In a setting where the event logs are noisy, incomplete and/or contain uninteresting activities, the process models discovered by discovery algorithms are often inaccurate and/or incomprehensible. Furthermore, many of these automated techniques can produce unsound models and/or cannot discover duplicate activities, silent activities etc. To overcome such shortcomings, we introduce a new concept to interactively discover a process model, by combining a user’s domain knowledge with the information from the event log. The discovered models are always sound and can have duplicate activities, silent activities etc. An objective evaluation and a case study shows that the proposed approach can outperform traditional discovery techniques.\u3c/p\u3
Systematic mapping study on process mining in agile software development
18th International Conference on Software Process Improvement and Capability Determination, SPICE 2018; Tessaloniki; Greece; 9 October 2018 through 10 October 2018Process mining is a process management technique that allows for the analysis of business processes based on the event logs and its aim is to discover, monitor and improve executed processes by extracting knowledge from event logs readily available in information systems. The popularity of agile software development methods has been increasing in the software development field over the last two decades and many software organizations develop software using agile methods. Process mining can provide complementary tools to Agile organizations for process management. Process mining can be used to discover agile processes followed by agile teams to establish the baselines and to determine the fidelity or they can be used to obtain feedback to improve agility. Despite the potential benefit of using process mining for agile software development, there is a lack of research that systematically analyzes the usage of process mining in agile software development. This paper presents a systematic mapping study on usage of process mining in agile software development approaches. The aim is to find out the usage areas of process mining in agile software development, explore commonly used algorithms, data sources, data collection mechanisms, analysis techniques and tools. The study has shown us that process mining is used in Agile software development especially for the purpose of process discovery from task tracking applications. We also observed that source code repositories are main data sources for process mining, a diversity of algorithms are used for analysis of collected data and ProM is the most widely used analysis tool for process mining