Mobile learning: recetividade e predisposição do ensino superior para a sua utilização

A evolução dos dispositivos móveis e a mudança de paradigma educacional, permitiu o surgimento de um novo conceito no processo de ensino e aprendizagem, o mobile learning. O mobile learning pode ser visto como um conceito multidisciplinar, dependendo da perspetiva de cada autor, pois ainda não existe um consenso em relação à definição do conceito. No entanto, todos os autores concordam que o mobile learning consiste na aquisição de conhecimento ou competência através do uso de tecnologias móveis, em qualquer lugar e momento. A presente investigação, de natureza exploratória, pretendeu estudar a receptividade e predisposição dos estudantes e docentes do ensino superior para com a utilização do mobile learning, uma vez que o ensino superior parece ser o ambiente ideal para a realização deste estudo. Por um lado, devido à democratização dos dispositivos móveis, por outro, porque o Instituto Politécnico do Porto pretende vir a implementar um projeto de mobile learning, enquadrado no e- IPP. Deste modo, para a concretização desta investigação, foi realizada uma revisão bibliográfica exaustiva que serviu de base de sustentação para todo o trabalho, complementada com um questionário, de forma a dar resposta às questões de investigação. Depois de recolhidos todos os resultados obtidos através do questionário, procedeu-se à análise e discussão mesmos, bem como às respectivas conclusões.

Math without stress: an open online learning project

MOOC (as an acronym for Massive Open Online Courses) are a quite new model for the delivery of online learning to students. As “Massive” and “Online”, these courses are proposed to be accessible to many more learners than would be possible through conventional teaching. As “Open” they are (frequently) free of charge and participation is not limited by the geographical situation of the learners, creating new learning opportunities in Higher Education Institutions (HEI). In this paper we describe a recently started project “Matemática 100 STRESS” (Math Without STRESS) integrated in the e-IPP project | e-Learning Unit of Porto’s Polytechnic Institute (IPP) which has created its own MOOC platform and launched its first course – Probabilities and Combinatorics – in early June/2014. In this MOOC development were involved several lecturers from four of the seven IPP schools.

Multi-Agent Based Smart Grid Management and Simulation: Situation Awareness and Learning in a Test Bed with Simulated and Real Installations and Players

The rising usage of distributed energy resources has been creating several problems in power systems operation. Virtual Power Players arise as a solution for the management of such resources. Additionally, approaching the main network as a series of subsystems gives birth to the concepts of smart grid and micro grid. Simulation, particularly based on multi-agent technology is suitable to model all these new and evolving concepts. MASGriP (Multi-Agent Smart Grid simulation Platform) is a system that was developed to allow deep studies of the mentioned concepts. This paper focuses on a laboratorial test bed which represents a house managed by a MASGriP player. This player is able to control a real installation, responding to requests sent by the system operators and reacting to observed events depending on the context.

A Learning Algorithm and System Approach to Address Exceptional Events in Domestic Consumption Management

The integration of the Smart Grid concept into the electric grid brings to the need for an active participation of small and medium players. This active participation can be achieved using decentralized decisions, in which the end consumer can manage loads regarding the Smart Grid needs. The management of loads must handle the users’ preferences, wills and needs. However, the users’ preferences, wills and needs can suffer changes when faced with exceptional events. This paper proposes the integration of exceptional events into the SCADA House Intelligent Management (SHIM) system developed by the authors, to handle machine learning issues in the domestic consumption context. An illustrative application and learning case study is provided in this paper.

A learning environment for robotic production line simulation

This paper presents a framework for a robotic production line simulation learning environment using Autonomous Ground Vehicles (AGV). An eLearning platform is used as interface with the simulator. The objective is to introduce students to the production robotics area using a familiar tool, an eLearning platform, and a framework that simulates a production line using AGVs. This framework allows students to learn about robotics but also about several areas of industrial management engineering without requiring an extensive prior knowledge on the robotics area. The robotic production line simulation learning environment simulates a production environment using AGVs to transport materials to and from the production line. The simulator allows students to validate the AGV dynamics and provides information about the whole materials supplying system which includes: supply times, route optimization and inventory management. The students are required to address several topics such as: sensors, actuators, controllers and an high level management and optimization software. This simulator was developed with a known open source tool from robotics community: Player/Stage. This tool was extended with several add-ons so that students can be able to interact with a complex simulation environment. These add-ons include an abstraction communication layer that performs events provided by the database server which is programmed by the students. An eLearning platform is used as interface between the students and the simulator. The students can visualize the effects of their instructions/programming in the simulator that they can access via the eLearning platform. The proposed framework aims to allow students from different backgrounds to fully experience robotics in practice by suppressing the huge gap between theory and practice that exists in robotics. Using an eLearning platform eliminates installation problems that can occur from different computers software distribution and makes the simulator accessible by all students at school and at home.

Innovations in technology: a friendly math project and the learning analytics “challenge”

Currently the world around us "reboots" every minute and “staying at the forefront” seems to be a very arduous task. The continuous and “speeded” progress of society requires, from all the actors, a dynamic and efficient attitude both in terms progress monitoring and moving adaptation. With regard to education, no matter how updated we are in relation to the contents, the didactic strategies and technological resources, we are inevitably compelled to adapt to new paradigms and rethink the traditional teaching methods. It is in this context that the contribution of e-learning platforms arises. Here teachers and students have at their disposal new ways to enhance the teaching and learning process, and these platforms are seen, at the present time, as significant virtual teaching and learning supporting environments. This paper presents a Project and attempts to illustrate the potential that new technologies present as a “backing” tool in different stages of teaching and learning at different levels and areas of knowledge, particularly in Mathematics. We intend to promote a constructive discussion moment, exposing our actual perception - that the use of the Learning Management System Moodle, by Higher Education teachers, as supplementary teaching-learning environment for virtual classroom sessions can contribute for greater efficiency and effectiveness of teaching practice and to improve student achievement. Regarding the Learning analytics experience we will present a few results obtained with some assessment Learning Analytics tools, where we profoundly felt that the assessment of students’ performance in online learning environments is a challenging and demanding task.

Odin: a service for gamification of learning activities

Existing gamification services have features that preclude their use by e-learning tools. Odin is a gamification service that mimics the API of state-of-the-art services without these limitations. This paper describes Odin, its role in an e-learning system architecture requiring gamification, and details its implementation. The validation of Odin involved the creation of a small e-learning game, integrated in a Learning Management System (LMS) using the Learning Tools Interoperability (LTI) specification.

Integrating rich learning applications in LMS

Currently, a learning management system (LMS) plays a central role in any e-learning environment. These environments include systems to handle the pedagogic aspects of the teaching–learning process (e.g. specialized tutors, simulation games) and the academic aspects (e.g. academic management systems). Thus, the potential for interoperability is an important, although over looked, aspect of an LMS. In this paper, we make a comparative study of the interoperability level of the most relevant LMS. We start by defining an application and a specification model. For the application model, we create a basic application that acts as a tool provider for LMS integration. The specification model acts as the API that the LMS should implement to communicate with the tool provider. Based on researches, we select the Learning Tools Interoperability (LTI) from IMS. Finally, we compare the LMS interoperability level defined as the effort made to integrate the application on the study LMS.

Decision Support for Energy Contracts Negotiation with Game Theory and Adaptive Learning

This paper presents a decision support methodology for electricity market players’ bilateral contract negotiations. The proposed model is based on the application of game theory, using artificial intelligence to enhance decision support method’s adaptive features. This model is integrated in AiD-EM (Adaptive Decision Support for Electricity Markets Negotiations), a multi-agent system that provides electricity market players with strategic behavior capabilities to improve their outcomes from energy contracts’ negotiations. Although a diversity of tools that enable the study and simulation of electricity markets has emerged during the past few years, these are mostly directed to the analysis of market models and power systems’ technical constraints, making them suitable tools to support decisions of market operators and regulators. However, the equally important support of market negotiating players’ decisions is being highly neglected. The proposed model contributes to overcome the existing gap concerning effective and realistic decision support for electricity market negotiating entities. The proposed method is validated by realistic electricity market simulations using real data from the Iberian market operator—MIBEL. Results show that the proposed adaptive decision support features enable electricity market players to improve their outcomes from bilateral contracts’ negotiations.

Relatório de Estágio de Qualificação Profissional (Educação Pré-Escolar)

Relatório EPE - Relatório de Estágio em Educação Pré-Escolar: Para aprender a ensinar é necessário passar por diversas etapas, assim sendo, o presente relatório é o culminar de um primeiro momento de estágio, do primeiro contacto com a profissão com todas as dinâmicas e especificidades de que dela fazem parte. Pretendendo-se ser um educador reflexivo e investigador, em que o desejo de saber o porquê daquilo que observa, o leva a descobrir novas coisas e a refletir sempre sobre elas, é fulcral que se conheçam alguns pressupostos teóricos que sirvam de suporte à prática a realizar. Desta forma, é feita uma contextualização teórica em que se aborda o papel do Educador de Infância, agente tão importante na educação das crianças, uma vez que educa os cidadãos de amanhã. Ao mesmo tempo, são ainda abordados alguns tópicos pertinentes relativamente à educação de infância, como a organização do ambiente educativo, a intencionalidade educativa, assim como modelos e perspetivas teóricas que fundamentam toda a prática desenvolvida. Com a realização deste relatório, inicia-se a construção do profissional reflexivo e investigador. Neste sentido, reflete-se acerca de toda ação pedagógica desenvolvida, assim como dos aspetos que se devem melhorar no futuro e que objetivos anteriormente definidos foram já alcançados. Na certeza de que o período de prática pedagógica referenciada foi o primeiro de muitos momentos de autodescoberta e realização pessoal, espera-se que o mesmo seja capaz de transparecer toda a experiência e enriquecimento para quem o lê. Relatório EPE - Relatório de Estágio em Educação Pré-Escolar:In order to learn how to teach, one needs to follow several stages, and on that path, the present report is the final step of a first stage in the trainee program, one that marked the first contact with the teaching profession and with all its dynamics and specifics. The aim is to be a reflexive educator and researcher, one that desires to understand the reason and motive of its object, one that is led to the discovery of new things and to a reflection on them. On that line, it is important to know some theoretical concepts to support the practice. With that goal in mind, this paper is a theoretical contextualization relating to the role of the infant teacher, a very important one, as it concerns the education of future citizens. At the same time, some relevant topics are addressed in what concerns the work of the infant teacher, such as the arrangement of the educational environment, the educational intentionality, and also theoretical models and perspectives, fundamental to the developed work. With this report begins the construction of the reflexive professional and researcher. In doing so, it is a reflection on several issues, namely, on all the pedagogical actions developed throughout the stage, on the features to improve in the future, and what previously defined goals were already achieved. Without a doubt, this stage of educational action is the first of several moments of self-discovery and personal achievement. Hopefully, this report will be able to reflect all the experience and to be an enriching experience to the reader.

Como responder à heterogeneidade dos alunos, de modo a proporcionar o sucesso de cada um?

O sucesso educativo dos alunos é como facilmente se compreenderá, a essência do ato educativo nas suas múltiplas dimensões e formas. O percurso para a obtenção desse sucesso é variado e representa muitas vezes um enorme investimento das organizações educativas nomeadamente na gestão dos seus recursos humanos. Por outro lado, o modelo organizativo instituído pode ser o fator preponderante para a obtenção do sucesso procurado sobretudo quando ele é promotor de um clima harmonioso e motivador para o ato educativo. O projeto apresentado neste estudo estruturou-se numa nova construção dos grupos de trabalho, em que o conceito tradicional de turma foi substituído por grupos, constituídos por alunos cujo grau de conhecimento e competências no âmbito das disciplinas de Português e Matemática, fosse o mais aproximado possível não perdendo de vista o princípio de heterogeneidade do grupo mesmo que relativa ou diminuída, tão importante para promover a diversidade. Este sistema organizativo rompeu com o conceito tradicional da turma o que implicou uma alteração não só na organização de horários escolares dos alunos e docentes mas também obrigou estruturação e implementação de um processo de mobilidades dos alunos entre grupos em função do seu grau de aprendizagens ou de dificuldades na sua obtenção. Este projeto foi ainda promotor de uma cultura de trabalho colaborativo e partilha entre docentes de cada grupo disciplinar promovendo a sistematização de interações entre pares quer na preparação das atividades letivas quer na discussão e resolução dos constrangimentos que o desenvolvimento do projeto evidenciou.

High-Content Analysis of Breast Cancer Using Single-Cell Deep Transfer Learning

High-content analysis has revolutionized cancer drug discovery by identifying substances that alter the phenotype of a cell, which prevents tumor growth and metastasis. The high-resolution biofluorescence images from assays allow precise quantitative measures enabling the distinction of small molecules of a host cell from a tumor. In this work, we are particularly interested in the application of deep neural networks (DNNs), a cutting-edge machine learning method, to the classification of compounds in chemical mechanisms of action (MOAs). Compound classification has been performed using image-based profiling methods sometimes combined with feature reduction methods such as principal component analysis or factor analysis. In this article, we map the input features of each cell to a particular MOA class without using any treatment-level profiles or feature reduction methods. To the best of our knowledge, this is the first application of DNN in this domain, leveraging single-cell information. Furthermore, we use deep transfer learning (DTL) to alleviate the intensive and computational demanding effort of searching the huge parameter's space of a DNN. Results show that using this approach, we obtain a 30% speedup and a 2% accuracy improvement.