Some aspects of grading Java code submissions in MOOCs

Recently, massive open online courses (MOOCs) have been offering a new online approach in the field of distance learning and online education. A typical MOOC course consists of video lectures, reading material and easily accessible tests for students. For a computer programming course, it is important to provide interactive, dynamic, online coding exercises and more complex programming assignments for learners. It is expedient for the students to receive prompt feedback on their coding submissions. Although MOOC automated programme evaluation subsystem is capable of assessing source programme files that are in learning management systems, in MOOC systems there is a grader that is responsible for evaluating students’ assignments with the result that course staff would be required to assess thousands of programmes submitted by the participants of the course without the benefit of an automatic grader. This paper presents a new concept for grading programming submissions of students and improved techniques based on the Java unit testing framework that enables automatic grading of code chunks. Some examples are also given such as the creation of unique exercises by dynamically generating the parameters of the assignment in a MOOC programming course combined with the kind of coding style recognition to teach coding standards.

The BRAzilian Seismographic Integrated Systems (BRASIS): infrastructure and data management

In geophysics and seismology, raw data need to be processed to generate useful information that can be turned into knowledge by researchers. The number of sensors that are acquiring raw data is increasing rapidly. Without good data management systems, more time can be spent in querying and preparing datasets for analyses than in acquiring raw data. Also, a lot of good quality data acquired at great effort can be lost forever if they are not correctly stored. Local and international cooperation will probably be reduced, and a lot of data will never become scientific knowledge. For this reason, the Seismological Laboratory of the Institute of Astronomy, Geophysics and Atmospheric Sciences at the University of Sao Paulo (IAG-USP) has concentrated fully on its data management system. This report describes the efforts of the IAG-USP to set up a seismology data management system to facilitate local and international cooperation.

Correlates of the Eysenck personality profiler

In this two part study, 811 participants completed the Eysenck Personality Profiler (EPP) and the Honey and Mumford Learning Styles Questionnaire (LSQ) and 263 adults completed the EPP and the Myers-Briggs Type Indicator (MBTI). As predicted there were many significant correlations which add to the concurrent validity of the EPP. When the overlap of the EPP with the MBTI and LSQ is compared with the overlap of the NEO-PI with the MBTI and LSQ (derived from Furnham, 1996a,b) it appears that the EPP has greater similarity with the LSQ, but the NEO-PI has greater similarity with the MBTI. (C) 2001 Elsevier Science Ltd. All rights reserved.

Mapping Gray's model of personality onto the Eysenck Personality Profiler (EPP)

The aim of this study was to determine how well Gray's model of personality [Gray, J.A. (1982). The neuropsychology of anxiety: an enquiry into the functions of the septo-hippocampal system. Oxfords: Oxford University Press, Gray, J.A. (1987). The psychology of fear and stress. Cambridge: Cambridge University Press], as measured by the Gray Wilson Personality Questionnaire (GWPQ), can provide a full description of personality as measured by the primary scales of the Eysenck Personality Profiler (EPP) and the type scales of the short version or the EPQ-R. Factor analysis of the GWPQ the Anxiety and linpulsivity scales of the EPP and the Learning Styles Questionnaire (LSQ) showed that the GWPQ seemed to measure general activation and inhibition factors, but not the finer features of Gray's theory. When the GWPQ scales were regressed against each scale of the EPP., it was round that they generally provide only a reasonable explanation of the EPP primary scales. It is concluded that the GWPQ measures general propel-ties of Gray's model, that the linpulsivity and Anxiety scales of the EPP also scent related to the GWPQ scales, and that Gray's model of personality provides only a partial explanation of personality in general. (C) 2002 Published by Elsevier Science Ltd. All rights reserved.

Integration of risk management in occupational health and safety systems

Risk management can be considered as part of the Occupational Health and Safety System (OHS) of an organization and can be used to develop and implement the OHS policy and manage the associated risks. The success of the integration of risk management in OHS depends on both technical and human aspects. Thus, this paper presents and discusses the case of a company working in the area of solid waste treatment. This company was certified in 2009 with an Integrated Management Systems for Quality, Environment, Occupational Health and Safety. The evolution of accidents before and after the implementation of the integrated system was analysed and a questionnaire was used to capture the perceptions of the technicians on the risk management system. The analysis of the findings showed that the frequency of accidents increased since 2009 but the severity has been reduced. Several interrelated causes and consequences were analysed and discussed. Furthermore, the analysis of the opinions of the company’s technicians permitted to highlight some important aspects on the integration of risk management in the OHS system of the company. In line with this discussion some hypothesis have been formulated.

Preparação para a performance instrumental: problemáticas e estratégias: relatório de estágio

Resumo I (Prática Pedagógica) - Nesta seção do relatório de estágio pretende-se caraterizar e apresentar todos os elementos referentes à prática pedagógica, que fizeram parte do estágio do ensino especializado da música, realizado na Escola de Música do Orfeão de Leiria no ano letivo de 2013/2014. De uma forma geral, o relatório de estágio pretende colocar em evidência aspetos pedagógicos como metodologias de ensino, questões motivacionais, estilos de aprendizagem, entre outros. Durante um ano letivo completo foram analisados, com especial atenção, três alunos que foram envolvidos no estágio, construindo e modelando os seus processos de aprendizagem. Para cada um deles foi realizado, ao longo do ano letivo, 30 planos de aula, uma planificação anual e três gravações vídeo/áudio em contexto de aula. Não foi uma tarefa nada fácil de realizar, mas que trouxe inúmeros conhecimentos não só de caráter pedagógico mas também de caráter pessoal. A parte inicial desta seção será dedicada à descrição e caraterização da escola onde foi realizado o estágio, a Escola de Música do Orfeão de Leiria/Conservatório de Artes. Será feita uma pequena abordagem histórica da instituição, bem como do seu projeto educativo, dacomunidade escolar, do seu contexto sociocultural e da classe de saxofone. Será apresentada também uma caraterização dos alunos, segundo vários parâmetros. Posteriormente, serão descritas algumas das práticas educativas desenvolvidas, com os alunos, em contexto de estágio. Para tal, serão utilizados como instrumentos, não só a experiência ativa do docente/estagiário, mas também todas as gravações, planos de aulas e planificações anuais, realizados em contexto de estágio do ensino especializado. Por fim, será realizada uma reflexão crítica do desempenho como docente de saxofone no âmbito do estágio e uma conclusão de toda a seção da prática pedagógica.

Relatório de estágio

I - As minhas expectativas eram elevadas pois este regresso à Escola Superior de Música de Lisboa permitia-me voltar a trabalhar com os professores que me formaram como músico e professor e com eles poder actualizar-me sobre vários temas ligados à pedagogia. Este aspecto é muito importante pois chego à conclusão que o tempo por vezes provoca-nos excesso de confiança que parece “cegar-nos” não nos deixando ver erros pedagógicos muitas vezes evitáveis. Quando ingressei neste estágio sentia-me confiante e seguro quanto às minhas capacidades como professor. O momento de viragem na minha perspectiva do estágio dá-se quando surgem as observações/gravações e respectivas análises e reflexões das aulas. Procurei trabalhar nessas aulas da forma mais natural possível pois o meu objectivo era observar o meu trabalho diário. A primeira observação das aulas permitiu-me anotar algumas coisas menos boas. Contudo, quando essa observação foi feita com o professor de didática os aspectos menos positivos ganharam uma enorme proporção: (1) falhas ao nível da instrução: demasiado longo, (2) feedback de pouca qualidade ou eficácia , (3) pouca percentagem de alunos que atingiam os objectivos., (4) ritmo de aula por vezes baixo devido a períodos longos de instrução ou devido a uma má gestão do espaço. Todos estes problemas eram mais visíveis quando as turmas eram maiores. Ao longo do estágio, e após a detecção destas falhas, fui procurando evitar estas práticas em todas as turmas onde leccionava. Senti que o ritmo de aula aumentou substancialmente não apenas à custa da energia do professor e de boas estratégias mas porque sobretudo se “falava menos e trabalhava-se mais”. Os erros dos alunos passaram a ser corrigos enquanto trabalhavam (feedback corretivo próximo do momento positivo ou negativo), o feedback positivo passou a ser mais destacado, a disposição da sala alterou-se de forma aos alunos estarem mais perto do professor, e este procurou ser menos “criativo” no momento de alterar o plano de aula devido a ideias momentâneas o que provocou mais tempo para cada estratégia e para que mais alunos fossem atingindo os objectivos. Apesar da evolução no sentido de proporcionar aos alunos aulas mais rentáveis e de ainda melhor qualidade, existe a consciência que alguns dos erros cometidos eram hábitos e como tal poderão levar algum tempo a ser corrigidos. Contudo, existe a consciência e a vontade em debelá-los da minha prática docente.

Adapting Meeting Tools to Agent Decision

Electricity markets are complex environments comprising several negotiation mechanisms. MASCEM (Multi- Agent System for Competitive Electricity Markets) is a simulator developed to allow deep studies of the interactions between the players that take part in the electricity market negotiations. ALBidS (Adaptive Learning Strategic Bidding System) is a multiagent system created to provide decision support to market negotiating players. Fully integrated with MASCEM it considers several different methodologies based on very distinct approaches. The Six Thinking Hats is a powerful technique used to look at decisions from different perspectives. This paper aims to complement ALBidS strategies usage by MASCEM players, providing, through the Six Thinking Hats group decision technique, a means to combine them and take advantages from their different perspectives. The combination of the different proposals resulting from ALBidS’ strategies is performed through the application of a Genetic Algorithm, resulting in an evolutionary learning approach.

Strategic Bidding for Electricity Markets Negotiation Using Support Vector Machines

Energy systems worldwide are complex and challenging environments. Multi-agent based simulation platforms are increasing at a high rate, as they show to be a good option to study many issues related to these systems, as well as the involved players at act in this domain. In this scope the authors’ research group has developed a multi-agent system: MASCEM (Multi- Agent System for Competitive Electricity Markets), which simulates the electricity markets environment. MASCEM is integrated with ALBidS (Adaptive Learning Strategic Bidding System) that works as a decision support system for market players. The ALBidS system allows MASCEM market negotiating players to take the best possible advantages from the market context. This paper presents the application of a Support Vector Machines (SVM) based approach to provide decision support to electricity market players. This strategy is tested and validated by being included in ALBidS and then compared with the application of an Artificial Neural Network, originating promising results. The proposed approach is tested and validated using real electricity markets data from MIBEL - Iberian market operator.

Particle Swarm Optimization of Electricity Market Negotiating Players Portfolio

Energy systems worldwide are complex and challenging environments. Multi-agent based simulation platforms are increasing at a high rate, as they show to be a good option to study many issues related to these systems, as well as the involved players at act in this domain. In this scope the authors’ research group has developed a multi-agent system: MASCEM (Multi- Agent System for Competitive Electricity Markets), which performs realistic simulations of the electricity markets. MASCEM is integrated with ALBidS (Adaptive Learning Strategic Bidding System) that works as a decision support system for market players. The ALBidS system allows MASCEM market negotiating players to take the best possible advantages from each market context. However, it is still necessary to adequately optimize the players’ portfolio investment. For this purpose, this paper proposes a market portfolio optimization method, based on particle swarm optimization, which provides the best investment profile for a market player, considering different market opportunities (bilateral negotiation, market sessions, and operation in different markets) and the negotiation context such as the peak and off-peak periods of the day, the type of day (business day, weekend, holiday, etc.) and most important, the renewable based distributed generation forecast. The proposed approach is tested and validated using real electricity markets data from the Iberian operator – MIBEL.

Electricity Markets Portfolio Optimization using a Particle Swarm Approach

Energy systems worldwide are complex and challenging environments. Multi-agent based simulation platforms are increasing at a high rate, as they show to be a good option to study many issues related to these systems, as well as the involved players at act in this domain. In this scope the authors’ research group has developed a multi-agent system: MASCEM (Multi-Agent System for Competitive Electricity Markets), which simulates the electricity markets. MASCEM is integrated with ALBidS (Adaptive Learning Strategic Bidding System) that works as a decision support system for market players. The ALBidS system allows MASCEM market negotiating players to take the best possible advantages from the market context. However, it is still necessary to adequately optimize the player’s portfolio investment. For this purpose, this paper proposes a market portfolio optimization method, based on particle swarm optimization, which provides the best investment profile for a market player, considering the different markets the player is acting on in each moment, and depending on different contexts of negotiation, such as the peak and offpeak periods of the day, and the type of day (business day, weekend, holiday, etc.). The proposed approach is tested and validated using real electricity markets data from the Iberian operator – OMIE.

Standard commercial education robotic platform: intermediate solution to teaching robotics

Teaching robotics to students at the beginning of their studies has become a huge challenge. Simulation environments can be an effective solution to that challenge where students can interact with simulated robots and have the first contact with robotic constraints. From our previous experience with simulation environments it was possible to observe that students with lower background knowledge in robotics where able to deal with a limited number of constraints, implement a simulated robotic platform and study several sensors. The question is: after this first phase what should be the best approach? Should the student start developing their own hardware? Hardware development is a very important part of an engineer's education but it can also be a difficult phase that could lead to discouragement and loss of motivation in some students. Considering the previous constraints and first year engineering students’ high abandonment rate it is important to develop teaching strategies to deal with this problem in a feasible way. The solution that we propose is the integration of a low-cost standard robotic platform WowWee Rovio as an intermediate solution between the simulation phase and the stage where the students can develop their own robots. This approach will allow the students to keep working in robotic areas such as: cooperative behaviour, perception, navigation and data fusion. The propose approach proved to be a motivation step not only for the students but also for the teachers. Students and teachers were able to reach an agreement between the level of demand imposed by the teachers and satisfaction/motivation of the students.

Six thinking hats: A novel metalearner for intelligent decision support in electricity markets

The energy sector has suffered a significant restructuring that has increased the complexity in electricity market players' interactions. The complexity that these changes brought requires the creation of decision support tools to facilitate the study and understanding of these markets. The Multiagent Simulator of Competitive Electricity Markets (MASCEM) arose in this context, providing a simulation framework for deregulated electricity markets. The Adaptive Learning strategic Bidding System (ALBidS) is a multiagent system created to provide decision support to market negotiating players. Fully integrated with MASCEM, ALBidS considers several different strategic methodologies based on highly distinct approaches. Six Thinking Hats (STH) is a powerful technique used to look at decisions from different perspectives, forcing the thinker to move outside its usual way of thinking. This paper aims to complement the ALBidS strategies by combining them and taking advantage of their different perspectives through the use of the STH group decision technique. The combination of ALBidS' strategies is performed through the application of a genetic algorithm, resulting in an evolutionary learning approach.

O jogo como estratégia de aprendizagem rítmica: A ludicidade na exploração das fichas de exercícios rítmicos

Elaborado com vista à reflexão fundamentada acerca do percurso, das práticas educativas e das políticas de ensino, o presente trabalho pretende reunir um conjunto de saberes inerentes à atividade docente. Relacionando teorias e práticas no âmbito do ensino da música, a apresentação de uma filosofia de trabalho, congregando como eixo estruturante a prática musical supervisionada realizada no âmbito do ensino vocacional, apresenta-se como pano de fundo à análise dos vários conteúdos referentes à literatura específica inerente à prática pedagógica. Partindo da caracterização da escola do ensino vocacional de música, nos ensinos Básico e Secundário, a presente reflexão emerge no seguimento do pensamento articulado das várias áreas do saber através da apreciação, fundamentação e discussão das perspetivas de ensino vigentes ao longo do processo de estágio. Deste modo, será exposta toda a perspetiva de ensino por nós desenvolvida, partindo de uma linha temporal, tendo por princípio a descrição de um plano modelo, com o objetivo de podermos demonstrar a direção do nosso pensamento. Tendo como objetivo verificar a eficácia da abordagem ao jogo, como estratégia de ensino, na aprendizagem do ritmo, na disciplina de Formação Musical, partimos de uma investigação bibliográfica sobre a relação entre a escola tradicional e a escola moderna, o jogo e a motivação, e por último, a aprendizagem do ritmo sobre a perspetiva das atividades de aprendizagem sequencial, sustentadas por Edwin Gordon. O projeto de investigação aborda uma nova conceção do jogo, aliando o mesmo às atividades de leitura rítmicas.

Estils d'aprenentatge i rendiment acadèmic. Un estudi sobre alumnat de la Diplomatura de mestres de la Universitat de Vic

Com a part inicial d'un procés més ampli d’implementació dels principis del Disseny Instruccional Universal a la Universitat de Vic, aquest estudi ha examinat i explorat els estils d'aprenentatge dels estudiants de primer curs de la Diplomatura de Mestre a la Universitat de Vic. Els objectius han estat, analitzar els perfils dels estils d’aprenentatge dels alumnes de primer curs d'educació per determinar si hi havia diferències significatives en l'estil d'aprenentatge preferit en base a especialitat escollida, edat i sexe, així com també detectar correlacions entre estilsd'aprenentatge i rendiment acadèmic. S’ha estudiat una mostra de 243 estudiants. L'instrument de mesura ha estat el “Index of Learning Styles Questuinnaire”. S’ha procedit a fer un anàlisi descriptiu i ANOVA. Els resultats mostren una distribució de les quatre dimensions del ILS similars als perfils d’altres poblacions d'altres universitats. La immensa majoria dels estudiants resulten visuals i sensorial i indiferents per a les dimensions actiu-reflexiu i seqüencial-global. Per especialitat i edat només les dimensions actiureflexiu ivisual-verbal han mostrat diferències significatives. Per gènere no s'han trobat diferèncie significatives . Pel que respecta al rendiment acadèmic, només la dimensió visual-verbal sembla tenir una relació significativa, obtenint qualificacions sensiblement més altes aquells estudiants amb un perfil verbal més alts que els efectes visuals. S’ha generat dues noves variables "nivell de dispersió" i "grau de risc". No s’ha trobat cap relació entre aquests dos factors i el rendiment acadèmic. S’han discutit els resultats. L’instrument ILSQ sembla presentar un valor moderat com a element predictiu de dificultats l'aprenentatge de l’alumnat i el seu rendiment acadèmic.