Integração de aplicações Web 2.0 e sistemas de gestão de conteúdos em ambientes pessoais de aprendizagem

A utilização de aplicações Web 2.0 no processo ensino/aprendizagem tem vindo a intensificar-se nos últimos tempos, mais por iniciativas individuais de docentes e estudantes do que por estratégia das Instituições de Ensino. Este artigo apresenta um projecto já em curso que consiste na implementação de uma plataforma de criação de ambientes de aprendizagem controlados pelos estudantes, integrando aplicações Web 2.0 e sistemas de gestão de conteúdos. A plataforma permitirá a utilização segura de conteúdos criados em aplicações Web 2.0, no processo de avaliação, possibilitando a sua publicação na infra-estrutura controlada pela Instituição de Ensino Superior, contribuindo assim para a adequação do binómio ensino/aprendizagem ao novo paradigma implicado no processo de Bolonha.

Plataformas de conteúdos e aplicações Web 2.0: impacto da sua utilização no processo ensino/aprendizagem em instituições de ensino superior

Tirando partido da crescente popularidade das aplicações Web 2.0, o presente trabalho pretende avaliar o impacto da utilização conjunta destas aplicações com plataformas de conteúdos no processo de ensino/aprendizagem em instituições de ensino superior.

Projeto de uma biblioteca digital conjunta entre o México e Portugal: uma ponte para apoiar a investigação e o ensino em biblioteconomia e áreas afins

Apresenta-se um projeto em curso entre a ESEIG/IPP (Portugal) e o IIBI/UNAM (México) para a criação de uma biblioteca digital na área da Biblioteconomia e dos Estudos de Informação. Considerando a missão educacional das instituições envolvidas, são analisados os conceitos conexos Ambientes Virtuais de Pesquisa e Aprendizagem nos quais a biblioteca digital fundamenta alguns dos seus princípios. É apresentado o modelo de biblioteca digital que sustenta o projeto e são caracterizadas as instituições participantes. Faz-se ainda uma reflexão sobre a conceção e o estabelecimento de uma política de informação, de modo a proporcionar um substrato para a criação e utilização dos recursos e serviços entre as comunidades envolvidas no projeto. Por fim, são apresentados os objetivos da biblioteca digital e diretrizes para a criação e partilha dos recursos digitais.

Teaching accounting and management through business simulation

Everyday accounting and management teachers face the challenge of creating learning environments that motivate students. This chapter describes the Business Simulation (BS) experience that has taken place at the Polytechnic Institute of Porto, Institute of Accounting and Administration (IPP/ISCAP). The chapter presents students’ perceptions about the course and the teaching/learning approach. The results show that pedagogical methods used (competency-oriented), generic competencies (cooperation and group work), and interpersonal skills (organisational and communication skills) are relevant for future accounting professionals. In addition, positive remarks and possible constraints based on observation, staff meetings, and past research are reported. The chapter concludes with some recommendations from the project implementation

The development and implementation of math projects in a HEI: expectations, objectives, experiences and analysis

An overwhelming problem in Math Curriculums in Higher Education Institutions (HEI), we are daily facing in the last decade, is the substantial differences in Math background of our students. When you try to transmit, engage and teach subjects/contents that your “audience” is unable to respond to and/or even understand what we are trying to convey, it is somehow frustrating. In this sense, the Math projects and other didactic strategies, developed through Learning Management System Moodle, which include an array of activities that combine higher order thinking skills with math subjects and technology, for students of HE, appear as remedial but important, proactive and innovative measures in order to face and try to overcome these considerable problems. In this paper we will present some of these strategies, developed in some organic units of the Polytechnic Institute of Porto (IPP). But, how “fruitful” are the endless number of hours teachers spent in developing and implementing these platforms? Do students react to them as we would expect? Do they embrace this opportunity to overcome their difficulties? How do they use/interact individually with LMS platforms? Can this environment that provides the teacher with many interesting tools to improve the teaching – learning process, encourages students to reinforce their abilities and knowledge? In what way do they use each available material – videos, interactive tasks, texts, among others? What is the best way to assess student’s performance in these online learning environments? Learning Analytics tools provides us a huge amount of data, but how can we extract “good” and helpful information from them? These and many other questions still remain unanswered but we look forward to get some help in, at least, “get some drafts” for them because we feel that this “learning analysis”, that tackles the path from the objectives to the actual results, is perhaps the only way we have to move forward in the “best” learning and teaching direction.

Tecnologias Multimédia no Apoio ao Ensino da Assistência Pré-Hospitalar

Vivemos num mundo em constante mudança, onde a evolução tecnológica está cada vez mais presente no nosso quotidiano e as suas influências são inúmeras nas nossas vidas. Por outro lado, a vida humana é algo extremamente valioso e único pelo que a sociedade, também nessa área, tem procurado evoluir e dotar-se de novos meios e mecanismos de atuação, que possibilitem um socorro rápido e adequado em situações que possam em algum momento pôr em perigo a vida do ser humano. Pretendemos com o presente estudo, correlacionar estas duas vertentes, a do socorro á vítima para apoio á vida humana e a tecnologia no sentido de contribuir para uma formação mais distribuída mas ao mesmo tempo capaz de transmitir conhecimentos necessários á formação dos que socorrem. Para o efeito, planeamos o desenvolvimento de um Objeto de Aprendizagem (OA) denominado CiTAT (Curso Interativo de Tripulante de Ambulância de Transporte) que tem como objetivo acrescentar valor a todos os que são obrigados a frequentar o curso em regime presencial de Tripulante de Ambulância de Transporte (TAT). Após uma fase de análise do estado da arte relacionada com este tipo de formação, e após termos percebido como funciona e que tipos de recursos utilizam, analisámos temas relacionados com este tipo de formação como o “Sistema Integrado de Emergência Médica” o “Exame á Vítima”, o “Suporte Básico de Vida” e as “Emergências de Trauma”. Percebemos que a mudança de paradigma de formação das pessoas passou a ter novas formas de distribuir conhecimento em formato digital e que proporciona aos formandos um ensino distribuído em formatos de e-learning ou de b-learning. Os Objetos de Aprendizagem (OA) parecem assumir um relevo especial no ensino da área da saúde, abordando áreas temáticas e proporcionando aos seus utilizadores mecanismos de autoavaliação após a visualização dos conteúdos pedagógicos. Após o desenho do modelo concetual do CiTAT, avançamos para a produção de recursos necessários para a sua integração no OA. Após uma fase de testes e ajustes, avançamos para a sua avaliação final por parte dos utilizadores e preparamos um questionário para aferir o potencial de utilização deste tipo de soluções no ensino de TAT, atendendo ao facto de ser uma formação obrigatória e cuja recertificação é feita de três em três anos. O passo final foi a sua distribuição ao nível global, sendo o CiTAT catalogado com metadados e colocado no repositório MERLOT.

O perfil geracional dos alunos de hoje

O presente artigo pretende apresentar uma breve descrição dos perfis das diversas gerações, desde o início do século XX, a saber: Babyboomers, Geração X, Geração Y, Geração Z e Geração Alpha. A nossa pesquisa tem por objectivo tentar compreender o público com o qual nos fomos, vamos e iremos confrontando, enquanto docente. Antes de atentarmos em cada um, parece-nos pertinente tentar compreender os traços comuns mais relevantes do público com quem desenvolvemos a nossa praxis. Na procura de uma resposta possível para os problemas decorrentes da massificação do ensino, o conhecimento dos principais traços das gerações mais recentes conduz-nos, então, à busca de teorias educativas que permitam ir ao encontro dos perfis e dos estilos de aprendizagem genéricos dos alunos da actualidade. É neste contexto que destacamos duas teorias com as quais nos identificamos: o Conectivismo e o B-Learning.

Intelligent decision making in electricity markets: simulated annealing Q-Learning

Electricity markets are complex environments, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. MASCEM is a multi-agent electricity market simulator to model market players and simulate their operation in the market. Market players are entities with specific characteristics and objectives, making their decisions and interacting with other players. MASCEM is integrated with ALBidS, a system that provides several dynamic strategies for agents’ behavior. This paper presents a method that aims at enhancing ALBidS competence in endowing market players with adequate strategic bidding capabilities, allowing them to obtain the higher possible gains out of the market. This method uses a reinforcement learning algorithm to learn from experience how to choose the best from a set of possible actions. These actions are defined accordingly to the most probable points of bidding success. With the purpose of accelerating the convergence process, a simulated annealing based algorithm is included.

Adaptive learning in multiagent systems: a forecasting methodology based on error analysis

Electricity markets are complex environments, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. MASCEM is a multi-agent electricity market simu-lator to model market players and simulate their operation in the market. Market players are entities with specific characteristics and objectives, making their decisions and interacting with other players. MASCEM pro-vides several dynamic strategies for agents’ behaviour. This paper presents a method that aims to provide market players strategic bidding capabilities, allowing them to obtain the higher possible gains out of the market. This method uses an auxiliary forecasting tool, e.g. an Artificial Neural Net-work, to predict the electricity market prices, and analyses its forecasting error patterns. Through the recognition of such patterns occurrence, the method predicts the expected error for the next forecast, and uses it to adapt the actual forecast. The goal is to approximate the forecast to the real value, reducing the forecasting error.

Cost dependent strategy for electricity markets bidding based on adaptive reinforcement learning

Electricity markets are complex environments, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. MASCEM is a multi-agent electricity market simulator to model market players and simulate their operation in the market. Market players are entities with specific characteristics and objectives, making their decisions and interacting with other players. MASCEM provides several dynamic strategies for agents’ behavior. This paper presents a method that aims to provide market players with strategic bidding capabilities, allowing them to obtain the higher possible gains out of the market. This method uses a reinforcement learning algorithm to learn from experience how to choose the best from a set of possible bids. These bids are defined accordingly to the cost function that each producer presents.

Adaptive learning in agents behaviour: a framework for electricity markets simulation

Electricity markets are complex environments with very particular characteristics. A critical issue regarding these specific characteristics concerns the constant changes they are subject to. This is a result of the electricity markets’ restructuring, which was performed so that the competitiveness could be increased, but it also had exponential implications in the increase of the complexity and unpredictability in those markets scope. The constant growth in markets unpredictability resulted in an amplified need for market intervenient entities in foreseeing market behaviour. The need for understanding the market mechanisms and how the involved players’ interaction affects the outcomes of the markets, contributed to the growth of usage of simulation tools. Multi-agent based software is particularly well fitted to analyze dynamic and adaptive systems with complex interactions among its constituents, such as electricity markets. This dissertation presents ALBidS – Adaptive Learning strategic Bidding System, a multiagent system created to provide decision support to market negotiating players. This system is integrated with the MASCEM electricity market simulator, so that its advantage in supporting a market player can be tested using cases based on real markets’ data. ALBidS considers several different methodologies based on very distinct approaches, to provide alternative suggestions of which are the best actions for the supported player to perform. The approach chosen as the players’ actual action is selected by the employment of reinforcement learning algorithms, which for each different situation, simulation circumstances and context, decides which proposed action is the one with higher possibility of achieving the most success. Some of the considered approaches are supported by a mechanism that creates profiles of competitor players. These profiles are built accordingly to their observed past actions and reactions when faced with specific situations, such as success and failure. The system’s context awareness and simulation circumstances analysis, both in terms of results performance and execution time adaptation, are complementary mechanisms, which endow ALBidS with further adaptation and learning capabilities.

Educational in a global environment: non-formal examples of learning practices at the international office

23rd SPACE AGM and Conference from 9 to 12 May 2012 Conference theme: The Role of Professional Higher Education: Responsibility and Reflection Venue: Mikkeli University of Applied Sciences, Mikkeli, Finland

Ensemble: an e-learning framework

E-Learning frameworks are conceptual tools to organize networks of elearning services. Most frameworks cover areas that go beyond the scope of e-learning, from course to financial management, and neglects the typical activities in everyday life of teachers and students at schools such as the creation, delivery, resolution and evaluation of assignments. This paper presents the Ensemble framework - an e-learning framework exclusively focused on the teaching-learning process through the coordination of pedagogical services. The framework presents an abstract data, integration and evaluation model based on content and communications specifications. These specifications must base the implementation of networks in specialized domains with complex evaluations. In this paper we specialize the framework for two domains with complex evaluation: computer programming and computer-aided design (CAD). For each domain we highlight two Ensemble hotspots: data and evaluations procedures. In the former we formally describe the exercise and present possible extensions. In the latter, we describe the automatic evaluation procedures.

Orchestration of e-learning services for automatic evaluation of programming exercises

Managing programming exercises require several heterogeneous systems such as evaluation engines, learning objects repositories and exercise resolution environments. The coordination of networks of such disparate systems is rather complex. These tools would be too specific to incorporate in an e-Learning platform. Even if they could be provided as pluggable components, the burden of maintaining them would be prohibitive to institutions with few courses in those domains. This work presents a standard based approach for the coordination of a network of e-Learning systems participating on the automatic evaluation of programming exercises. The proposed approach uses a pivot component to orchestrate the interaction among all the systems using communication standards. This approach was validated through its effective use on classroom and we present some preliminary results.

Modelling an e-learning environment for learning programming languages

It is widely accepted that solving programming exercises is fundamental to learn how to program. Nevertheless, solving exercises is only effective if students receive an assessment on their work. An exercise solved wrong will consolidate a false belief, and without feedback many students will not be able to overcome their difficulties. However, creating, managing and accessing a large number of exercises, covering all the points in the curricula of a programming course, in classes with large number of students, can be a daunting task without the appropriated tools working in unison. This involves a diversity of tools, from the environments where programs are coded, to automatic program evaluators providing feedback on the attempts of students, passing through the authoring, management and sequencing of programming exercises as learning objects. We believe that the integration of these tools will have a great impact in acquiring programming skills. Our research objective is to manage and coordinate a network of eLearning systems where students can solve computer programming exercises. Networks of this kind include systems such as learning management systems (LMS), evaluation engines (EE), learning objects repositories (LOR) and exercise resolution environments (ERE). Our strategy to achieve the interoperability among these tools is based on a shared definition of programming exercise as a Learning Object (LO).