La carpeta de aprendizaje y la evaluación entre iguales de los estudiantes. Resultados de una innovación docente en los estudios universitarios de las artes

Students reflect more on their learning in course subjects when they participate in managing their teaching–learning environment. As a form of guided participation, peer assessment serves the following purposes: (a) it improves the student’s understanding of previously established learning objectives; (b) it is a powerful metacognitive tool; (c) it transfers to the student part of the responsibility for assessing learning, which means deciding which learning activities are important and choosing the degree of effort a course subject will require; (d) it emphasizes the collective aspect of the nature of knowledge; and (e) the educational benefits derived from peer assessment clearly justify the efforts required to implement activities. This paper reports on the relative merits of a learning portfolio compiled during fine arts-related studies in which peer assessment played an important role. The researchers analyzed the student work load and the final marks students received for compulsory art subjects. They conclude that the use of a closed learning portfolio with a well-structured, sequential and analytical design can have a positive effect on student learning and that, although implementing peer assessment may be complex and students need to become familiar with it, its use is not only feasible but recommendable.

Understanding the Patient Experience Through the Power of Film: a Mixed Method Qualitative Research Study

Background For decades film has proved to be a powerful form of communication. Whether produced as entertainment, art or documentary, films have the capacity to inform and move us. Films are a highly attractive teaching instrument and an appropriate teaching method in health education. It is a valuable tool for studying situations most transcendental to human beings such as pain, disease and death. Objectives The objectives were to determine how this helps students engage with their role as health care professionals; to determine how they view the personal experience of illness, disease, disability or death; and to determine how this may impact upon their provision of patient care. Design, Setting and Participants The project was underpinned by the film selection determined by considerate review, intensive scrutiny, contemplation and discourse by the research team. 7 films were selected, ranging from animation; foreign, documentary, biopic and Hollywood drama. Each film was shown discretely, in an acoustic lecture theatre projected onto a large screen to pre-registration student nurses (adult, child and mental health) across each year of study from different cohorts (n = 49). Method A mixed qualitative method approach consisted of audio-recorded 5-minute reactions post film screening; coded questionnaires; and focus group. Findings were drawn from the impact of the films through thematic analysis of data sets and subjective text condensation categorised as: new insights looking through patient eyes; evoking emotion in student nurses; spiritual care; going to the moves to learn about the patient experience; self discovery through films; using films to link theory to practice. Results Deeper learning through film as a powerful medium was identified in meeting the objectives of the study. Integration of film into pre registration curriculum, pedagogy, teaching and learning is recommended. Conclusion The teaching potential of film stems from the visual process linked to human emotion and experience. Its impact has the power to not only help in learning the values that underpin nursing, but also for respecting the patient experience of disease, disability, death and its reality.

Spectral graph theory with applications to quantum adiabatic optimization

In this dissertation I draw a connection between quantum adiabatic optimization, spectral graph theory, heat-diffusion, and sub-stochastic processes through the operators that govern these processes and their associated spectra. In particular, we study Hamiltonians which have recently become known as ``stoquastic'' or, equivalently, the generators of sub-stochastic processes. The operators corresponding to these Hamiltonians are of interest in all of the settings mentioned above. I predominantly explore the connection between the spectral gap of an operator, or the difference between the two lowest energies of that operator, and certain equilibrium behavior. In the context of adiabatic optimization, this corresponds to the likelihood of solving the optimization problem of interest. I will provide an instance of an optimization problem that is easy to solve classically, but leaves open the possibility to being difficult adiabatically. Aside from this concrete example, the work in this dissertation is predominantly mathematical and we focus on bounding the spectral gap. Our primary tool for doing this is spectral graph theory, which provides the most natural approach to this task by simply considering Dirichlet eigenvalues of subgraphs of host graphs. I will derive tight bounds for the gap of one-dimensional, hypercube, and general convex subgraphs. The techniques used will also adapt methods recently used by Andrews and Clutterbuck to prove the long-standing ``Fundamental Gap Conjecture''.

Modelling and PI Control of an Irrigation Canal

The main goal of this paper is to expose and validate a methodology to design efficient automatic controllers for irrigation canals, based on the Saint-Venant model. This model-based methodology enables to design controllers at the design stage (when the canal is not already built). The methodology is applied on an experimental canal located in Portugal. First the full nonlinear PDE model is calibrated, using a single steady-state experiment. The model is then linearized around a functioning point, in order to design linear PI controllers. Two classical control strategies are tested (local upstream control and distant downstream control) and compared on the canal. The experimental results show the effectiveness of the model.