Um modelo de perfil de aluno voltado a aplicações de técnicas de learning analytics

Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia e Gestão do Conhecimento, Florianópolis, 2019.A análise das interações dos alunos com os ambientes virtuais de aprendizagem assumiu um papel relevante para decisões educacionais. A grande disponibilidade de cursos a distância permite o uso da tecnologia a fim de explorar os dados produzidos a partir dessas alterações. Pode assim, maximizar o aprendizado dos alunos, sugerindo atividades de acordo com o perfil de cada um. Entretanto, a utilização do perfil do aluno para análises mais abrangentes ainda é insipiente. Neste sentido, o presente trabalho propõe um modelo de dados de perfil de aluno voltado a aplicação de técnicas de Learning Analytics em Sistemas de Aprendizagem Online. O modelo, elaborado por meio do desenvolvimento de artefatos, teve como suporte a metodologia Design Science Research. Para a sua avaliação, utilizou-se uma base de dados de uma instituição de ensino que possui atividades ativas em um ambiente virtual de aprendizagem. A partir desses dados, foi possível a aplicação das técnicas escolhidas, obtendo-se informações relevantes para subsidiar os gestores no âmbito educacional. Análises estatísticas, análise de agrupamentos e sistemas de recomendação foram as técnicas aplicadas. De maneira geral, os resultados produzidos estão centrados na identificação e geração de grupos de perfis similares, considerando o estilo de aprendizagem e o tipo de personalidade dos alunos. Esta estratégia permitiu a obtenção de resultados promissores para a tomada de decisão no contexto educacional e com potencial para gerar uma contribuição efetiva para a área de Learning Analytics.Abstract: The analysis of students' interactions with virtual learning environments has assumed a relevant role for educational decisions. The wide availability of distance learning courses allows the use of technology to exploit the data produced from these interactions. It can thus maximize students' learning by suggesting activities according to their profile. However, using the student profile for broader analysis is still incipient. In this sense, the present work proposes a student profile data model, focused on the application of Learning Analytics techniques in Online Learning Systems. The model, created through the development of artifacts, was supported by the Design Science Research methodology. For its evaluation, it was used a database from an educational institution that has active activities in a virtual learning environment. From these data, it was possible to apply the chosen techniques, obtaining relevant information to support managers in the educational field. Statistical analyzes, cluster analysis and recommendation systems were the applied techniques. In general, the results produced focus on the identification and generation of similar profile groups, considering the students' learning style and personality type. This strategy allowed promising results for decision making in the educational context and with the potential to generate an effective contribution to the area of Learning Analytics

ATHENA Research Book, Volume 2

ATHENA European University is an association of nine higher education institutions with the mission of promoting excellence in research and innovation by enabling international cooperation. The acronym ATHENA stands for Association of Advanced Technologies in Higher Education. Partner institutions are from France, Germany, Greece, Italy, Lithuania, Portugal and Slovenia: University of Orléans, University of Siegen, Hellenic Mediterranean University, Niccolò Cusano University, Vilnius Gediminas Technical University, Polytechnic Institute of Porto and University of Maribor. In 2022, two institutions joined the alliance: the Maria Curie-Skłodowska University from Poland and the University of Vigo from Spain. Also in 2022, an institution from Austria joined the alliance as an associate member: Carinthia University of Applied Sciences. This research book presents a selection of the research activities of ATHENA University's partners. It contains an overview of the research activities of individual members, a selection of the most important bibliographic works of members, peer-reviewed student theses, a descriptive list of ATHENA lectures and reports from individual working sections of the ATHENA project. The ATHENA Research Book provides a platform that encourages collaborative and interdisciplinary research projects by advanced and early career researchers

Proceedings of the 11th Toulon-Verona International Conference on Quality in Services

The Toulon-Verona Conference was founded in 1998 by prof. Claudio Baccarani of the University of Verona, Italy, and prof. Michel Weill of the University of Toulon, France. It has been organized each year in a different place in Europe in cooperation with a host university (Toulon 1998, Verona 1999, Derby 2000, Mons 2001, Lisbon 2002, Oviedo 2003, Toulon 2004, Palermo 2005, Paisley 2006, Thessaloniki 2007, Florence, 2008). Originally focusing on higher education institutions, the research themes have over the years been extended to the health sector, local government, tourism, logistics, banking services. Around a hundred delegates from about twenty different countries participate each year and nearly one thousand research papers have been published over the last ten years, making of the conference one of the major events in the field of quality in services

Knowledge and Management Models for Sustainable Growth

In the last years sustainability has become a topic of global concern and a key issue in the strategic agenda of both business organizations and public authorities and organisations. Significant changes in business landscape, the emergence of new technology, including social media, the pressure of new social concerns, have called into question established conceptualizations of competitiveness, wealth creation and growth. New and unaddressed set of issues regarding how private and public organisations manage and invest their resources to create sustainable value have brought to light. In particular the increasing focus on environmental and social themes has suggested new dimensions to be taken into account in the value creation dynamics, both at organisations and communities level. For companies the need of integrating corporate social and environmental responsibility issues into strategy and daily business operations, pose profound challenges, which, in turn, involve numerous processes and complex decisions influenced by many stakeholders. Facing these challenges calls for the creation, use and exploitation of new knowledge as well as the development of proper management models, approaches and tools aimed to contribute to the development and realization of environmentally and socially sustainable business strategies and practices

Learning Disabilities

Learning disabilities are a heterogeneous group of disorders characterized by failure to acquire, retrieve, and use information competently. These disorders have a multifactorial aetiology and are most common and severe in children, especially when comorbid with other chronic health conditions. This book provides current and comprehensive information about learning disorders, including information on neurobiology, assessment, clinical features, and treatment. Chapters cover such topics as historical research and hypotheses of learning disorders, neuropsychological assessment and counselling, characteristics of specific disorders such as autism and ADHD, evidence-based treatment strategies and assistive technologies, and much more