Partnerships in teacher education - going beyond the rhetoric, with reference to the Norwegian context

Teacher education plays a central role in education and relates to various stakeholders of education. Currently, teacher education is not perceived as the sole responsibility of higher education institutions, and they are expected to work closely together with other partners. In this paper, the concept of ‘partnership’ is defined and mutual benefits and challenges in partnerships with disciplines and institutions beyond teacher education programs are briefly discussed. Issues related to partnerships with students are addressed, and the last part of the paper discusses the partnership between teacher education and the practice field with examples from Norway. Three models illustrating such partnerships are described. The central argument of the paper is that partnerships in teacher education need to go beyond rhetoric. (DIPF/Orig.)

"The X in balance", a serious game to learn how to solve mathematical equations

(Prefácio) This dissertation is submitted for the degree of Masters (Engenharia Informática) at University of Évora. Under the supervision of Professor Francisco Manuel Gonçalves Coelho, i have selected to work on game design. With the specific period of time and resources, an attempt has been made to make a serious educational game. While writing this thesis, the objective was to describe a math game for solving mathematical equations. Injecting learning factor in a game, is a main concern of this project. The document is about the description of ‘X in Balance’ game. This game provides a platform for school aged students to solve the equations by playing game. It also gives a unique dimension of putting fun and math in a same platform. The document describes full detail on the project. The first chapter gives an introduction about the problem faced by students in doing maths and the learning behavior of a game. It also points out the opportunities that this game might brings and the motivation behind doing this work. It describes the game concept and its genre too. Besides, the second chapter tells state of an art of serous educational game. It defines the concept of serious game and its types. Furthermore, it justifies the flexibility of serious games to adapt all learning styles. The impact of serious games on learning is also mentioned. It also includes the related work of other researchers.

From Hill to Harbor: Serving Water and People on Baltimore's Civic Waterfront

People and cities alike derive their life from water. Water is consequently influenced by the actions of people and cities. This crucial relationship deserves to be commemorated, and also analyzed as further human development, sea level rise, and ecological remediation efforts influence its form. This thesis seeks to remember the past condition, recognize the current, and positively influence the future of this relationship in Baltimore’s Inner Harbor through a waterfront park and harbor history museum. How can a building and a site work together to improve the health of local hydrology while still effectively serving its human community? This thesis weaves these opportunities together to create a responsible redesign of Rash Field and Federal Hill on the south side of the Inner Harbor in Baltimore.

Resilience to Climate Change: An Ethnographic Approach

Global projections for climate change impacts produce a startling picture of the future for low-lying coastal communities. The United States’ Chesapeake Bay region and especially marginalized and rural communities will be severely impacted by sea level rise and other changes over the next one hundred years. The concept of resilience has been theorized as a measure of social-ecological system health and as a unifying framework under which people can work together towards climate change adaptation. But it has also been critiqued for the way in which it does not adequately take into account local perspective and experiences, bringing into question the value of this concept as a tool for local communities. We must be sure that the concerns, weaknesses, and strengths of particular local communities are part of the climate change adaptation, decision-making, and planning process in which communities participate. An example of this type of planning process is the Deal Island Marsh and Community Project (DIMCP), a grant funded initiative to build resilience within marsh ecosystems and communities of the Deal Island Peninsula area of Maryland (USA) to environmental and social impacts from climate change. I argue it is important to have well-developed understandings of vulnerabilities and resiliencies identified by local residents and others to accomplish this type of work. This dissertation explores vulnerability and resilience to climate change using an engaged and ethnographic anthropological perspective. Utilizing participant observation, semi-structured and structured interviews, text analysis, and cultural domain analysis I produce an in-depth perspective of what vulnerability and resilience means to the DIMCP stakeholder network. Findings highlight significant vulnerabilities and resiliencies inherent in the local area and how these interface with additional vulnerabilities and resiliencies seen from a nonlocal perspective. I conclude that vulnerability and resilience are highly dynamic and context-specific for the local community. Vulnerabilities relate to climate change and other social and environmental changes. Resilience is a long-standing way of life, not a new concept related specifically to climate change. This ethnographic insight into vulnerability and resilience provides a basis for stronger engagement in collaboration and planning for the future.

Estado actual de los planes de mejora en los Centros de Desarrollo Infantil Privados

Dentro de la presente investigación, se realiza un análisis de la situación actual de los centros de desarrollo infantil privados en donde se detalla el plan de mejora. El desarrollo de este trabajo de titulación pretende demostrar la viabilidad del Plan de Mejora en cuanto a fortalecer las debilidades encontradas en cada institución para ofrecerles cuidados y educación de calidad, una infraestructura adecuada, espacios lúdicos con seguridad, involucramiento de los padres en el proceso educativo y resolución de los conflictos con los niños. Esta idea surge de la necesidad de concientizar a las instituciones para un adecuado manejo de las actividades en el desarrollo del aprendizaje, encaminadas alcanzar una enseñanza de excelencia no solo a nivel académico sino en todos los aspectos que rodean al niño; a partir de la matriz del plan de mejora y de encuestas ejecutadas a directoras y docentes de cada centro, como propósito de este trabajo, se hace un análisis con los problemas más sobresalientes y con las acciones que toman para obtener resultados favorables, la factibilidad de la investigación se determinó mediante un enfoque cualitativo por medio del cual se pudo evidenciar la falta de resultados frente a las acciones tomadas dentro de los CDI, con tablas de frecuencia que demuestran claramente esto y a su vez que tanto las directoras como docentes difieren en los tipos de problemas que fueron tratados en cada establecimiento. El plan de mejora de los centros de desarrollo infantil privados consolida a una educación de calidad, siempre y cuando se trabaje conjuntamente entre directivos, docentes y padres de familia para alcanzar un nivel de educación de primera y desarrollar en el niño un rendimiento escolar de acuerdo a la reforma curricular actual.

Tectonics of Central and Eastern California, Late Cretaceous to Modern

The Late Cretaceous to Modern tectonic evolution of central and eastern California has been studied for many decades, with published work generally focusing on specific geographic areas and time periods. The resulting literature leaves the reader, whether graduate student, faculty member, or layperson, wondering what a coherently integrated tectonic evolution might look like, or if it would be at all possible to undertake such a task. This question is the common thread weaving together the four studies presented in this work. Each of the individual chapters is targeted at a specific location and time period which I have identified as a critical yet missing link in piecing together a coherent regional tectonic story. In the first chapter, we re-discover a set of major west down normal faults running along the western slope of the southern Sierra, the western Sierra fault system (WSFS). We show that one of these faults was offset by roughly a kilometer in Eocene time, and that this activity directly resulted in the incision of much of the relief present in modern Kings Canyon. The second chapter is a basement landscape and thermochronometric study of the hanging wall of the WSFS. New data from this study area provide a significant westward expansion of basement thermochronometric data from the southern Sierra Nevada batholith. Thermal modeling results of these data provide critical new constraints on the early exhumation of the Sierra Nevada batholith, and in the context of the results from Chapter I, allow us to piece together a coherent chronology of tectonic forcings and landscape evolution for the southern Sierra Nevada. In the third chapter, I present a study of the surface rupture of the 1999 Hector Mine earthquake, a dextral strike slip event on a fault in the Eastern California Shear Zone (ECSZ). New constraints on the active tectonics in ECSZ will help future studies better resolve the enigmatic mismatch between geologic slip rates and geodetically determined regional rates. Chapter IV is a magnetostratigraphic pilot study of the Paleocene Goler Formation. This study provides strong evidence that continued investigation will yield new constraints on the depositional age of the only fossil-bearing Paleocene terrestrial deposit on the west coast of North America. Each of these studies aims to provide important new data at critical missing links in the tectonic evolution of central and eastern California.

Os inéditos-viáveis na e da formação continuada de professores que ensinam matemática nos anos iniciais da educação de jovens e adultos

Tese (doutorado)—Universidade de Brasília, Faculdade de Educação, Programa de Pós-Graduação em Educação, 2016.

Some contributions on reading and writing for 5 to 12 year olds / Quelques perspectives en lecture et en écriture chez les élèves de 5 à 12 ans

Cet ouvrage scientifique constitue les Actes du Symposium international sur la litéracie à l’école / International Symposium for Educational Literacy (SILE/ISEL), qui s’est tenu en août 2015 au Canada (Jouvence, Québec). L’objectif de ce symposium est de rassembler, à l’échelle internationale, des chercheurs de différentes disciplines (éducation, psychologie, linguistique, littérature) et de la santé qui s’intéressent à la réussite en lecture-écriture des élèves en maternelle et au primaire.

Query routing in cooperative semi-structured peer-to-peer information retrieval networks

Conventional web search engines are centralised in that a single entity crawls and indexes the documents selected for future retrieval, and the relevance models used to determine which documents are relevant to a given user query. As a result, these search engines suffer from several technical drawbacks such as handling scale, timeliness and reliability, in addition to ethical concerns such as commercial manipulation and information censorship. Alleviating the need to rely entirely on a single entity, Peer-to-Peer (P2P) Information Retrieval (IR) has been proposed as a solution, as it distributes the functional components of a web search engine – from crawling and indexing documents, to query processing – across the network of users (or, peers) who use the search engine. This strategy for constructing an IR system poses several efficiency and effectiveness challenges which have been identified in past work. Accordingly, this thesis makes several contributions towards advancing the state of the art in P2P-IR effectiveness by improving the query processing and relevance scoring aspects of a P2P web search. Federated search systems are a form of distributed information retrieval model that route the user’s information need, formulated as a query, to distributed resources and merge the retrieved result lists into a final list. P2P-IR networks are one form of federated search in routing queries and merging result among participating peers. The query is propagated through disseminated nodes to hit the peers that are most likely to contain relevant documents, then the retrieved result lists are merged at different points along the path from the relevant peers to the query initializer (or namely, customer). However, query routing in P2P-IR networks is considered as one of the major challenges and critical part in P2P-IR networks; as the relevant peers might be lost in low-quality peer selection while executing the query routing, and inevitably lead to less effective retrieval results. This motivates this thesis to study and propose query routing techniques to improve retrieval quality in such networks. Cluster-based semi-structured P2P-IR networks exploit the cluster hypothesis to organise the peers into similar semantic clusters where each such semantic cluster is managed by super-peers. In this thesis, I construct three semi-structured P2P-IR models and examine their retrieval effectiveness. I also leverage the cluster centroids at the super-peer level as content representations gathered from cooperative peers to propose a query routing approach called Inverted PeerCluster Index (IPI) that simulates the conventional inverted index of the centralised corpus to organise the statistics of peers’ terms. The results show a competitive retrieval quality in comparison to baseline approaches. Furthermore, I study the applicability of using the conventional Information Retrieval models as peer selection approaches where each peer can be considered as a big document of documents. The experimental evaluation shows comparative and significant results and explains that document retrieval methods are very effective for peer selection that brings back the analogy between documents and peers. Additionally, Learning to Rank (LtR) algorithms are exploited to build a learned classifier for peer ranking at the super-peer level. The experiments show significant results with state-of-the-art resource selection methods and competitive results to corresponding classification-based approaches. Finally, I propose reputation-based query routing approaches that exploit the idea of providing feedback on a specific item in the social community networks and manage it for future decision-making. The system monitors users’ behaviours when they click or download documents from the final ranked list as implicit feedback and mines the given information to build a reputation-based data structure. The data structure is used to score peers and then rank them for query routing. I conduct a set of experiments to cover various scenarios including noisy feedback information (i.e, providing positive feedback on non-relevant documents) to examine the robustness of reputation-based approaches. The empirical evaluation shows significant results in almost all measurement metrics with approximate improvement more than 56% compared to baseline approaches. Thus, based on the results, if one were to choose one technique, reputation-based approaches are clearly the natural choices which also can be deployed on any P2P network.

BRINGING STREET ART TO SCHOOL: OPEN TO INCLUDE

Inclusive Education values differences by reducing barriers to learning and promoting active participation and positive interactions between all members of school community. Nowadays, school faces numerous children/adolescents who for several reasons have developed challenging behaviours and high risk of dropping out school. They come often from socio-cultural-economic minority groups and have sometimes a repeated course of academic failure. Art has had the ability to bring together the interests of all, even of the most unsuitable. In this paper, the authors present an intervention through street art/graffiti done in a secondary school, with a ninth grade class covered by PIEF Programme. The project aimed to understand if the integration of graffiti art in educational process had impact on challenging behaviour. The study, with a qualitative methodology, shows contributions of artistic experience as an asset to educational development of students with challenging behaviours contributing to a better school and inclusion.

Reinforcement learning over encrypted data

Reinforcement learning is a particular paradigm of machine learning that, recently, has proved times and times again to be a very effective and powerful approach. On the other hand, cryptography usually takes the opposite direction. While machine learning aims at analyzing data, cryptography aims at maintaining its privacy by hiding such data. However, the two techniques can be jointly used to create privacy preserving models, able to make inferences on the data without leaking sensitive information. Despite the numerous amount of studies performed on machine learning and cryptography, reinforcement learning in particular has never been applied to such cases before. Being able to successfully make use of reinforcement learning in an encrypted scenario would allow us to create an agent that efficiently controls a system without providing it with full knowledge of the environment it is operating in, leading the way to many possible use cases. Therefore, we have decided to apply the reinforcement learning paradigm to encrypted data. In this project we have applied one of the most well-known reinforcement learning algorithms, called Deep Q-Learning, to simple simulated environments and studied how the encryption affects the training performance of the agent, in order to see if it is still able to learn how to behave even when the input data is no longer readable by humans. The results of this work highlight that the agent is still able to learn with no issues whatsoever in small state spaces with non-secure encryptions, like AES in ECB mode. For fixed environments, it is also able to reach a suboptimal solution even in the presence of secure modes, like AES in CBC mode, showing a significant improvement with respect to a random agent; however, its ability to generalize in stochastic environments or big state spaces suffers greatly.

Scaling up: Achieving a breakthrough in adult learning with technology

The first report commissioned by Ufi Charitable Trust. It investigates opportunities for and barriers to the application of digital technology to adult learning. It focuses on possible ways to transform the UK’s vocational education and training system, identifying three main priorities for funding by the Ufi Charitable Trust: * increasing the capability of those involved in running the vocational learning system * exploiting networks to bring together learners, learning content and learning professionals * harnessing computers to support individualised and differentiated learning.

Hybrid Artificial Intelligence to Extract Patterns and Rules from Argumentative and Legal Texts

This Thesis is composed of a collection of works written in the period 2019-2022, whose aim is to find methodologies of Artificial Intelligence (AI) and Machine Learning to detect and classify patterns and rules in argumentative and legal texts. We define our approach “hybrid”, since we aimed at designing hybrid combinations of symbolic and sub-symbolic AI, involving both “top-down” structured knowledge and “bottom-up” data-driven knowledge. A first group of works is dedicated to the classification of argumentative patterns. Following the Waltonian model of argument and the related theory of Argumentation Schemes, these works focused on the detection of argumentative support and opposition, showing that argumentative evidences can be classified at fine-grained levels without resorting to highly engineered features. To show this, our methods involved not only traditional approaches such as TFIDF, but also some novel methods based on Tree Kernel algorithms. After the encouraging results of this first phase, we explored the use of a some emerging methodologies promoted by actors like Google, which have deeply changed NLP since 2018-19 — i.e., Transfer Learning and language models. These new methodologies markedly improved our previous results, providing us with best-performing NLP tools. Using Transfer Learning, we also performed a Sequence Labelling task to recognize the exact span of argumentative components (i.e., claims and premises), thus connecting portions of natural language to portions of arguments (i.e., to the logical-inferential dimension). The last part of our work was finally dedicated to the employment of Transfer Learning methods for the detection of rules and deontic modalities. In this case, we explored a hybrid approach which combines structured knowledge coming from two LegalXML formats (i.e., Akoma Ntoso and LegalRuleML) with sub-symbolic knowledge coming from pre-trained (and then fine-tuned) neural architectures.

Continual learning on nano drones

Miniaturized flying robotic platforms, called nano-drones, have the potential to revolutionize the autonomous robots industry sector thanks to their very small form factor. The nano-drones’ limited payload only allows for a sub-100mW microcontroller unit for the on-board computations. Therefore, traditional computer vision and control algorithms are too computationally expensive to be executed on board these palm-sized robots, and we are forced to rely on artificial intelligence to trade off accuracy in favor of lightweight pipelines for autonomous tasks. However, relying on deep learning exposes us to the problem of generalization since the deployment scenario of a convolutional neural network (CNN) is often composed by different visual cues and different features from those learned during training, leading to poor inference performances. Our objective is to develop and deploy and adaptation algorithm, based on the concept of latent replays, that would allow us to fine-tune a CNN to work in new and diverse deployment scenarios. To do so we start from an existing model for visual human pose estimation, called PULPFrontnet, which is used to identify the pose of a human subject in space through its 4 output variables, and we present the design of our novel adaptation algorithm, which features automatic data gathering and labeling and on-device deployment. We therefore showcase the ability of our algorithm to adapt PULP-Frontnet to new deployment scenarios, improving the R2 scores of the four network outputs, with respect to an unknown environment, from approximately [−0.2, 0.4, 0.0,−0.7] to [0.25, 0.45, 0.2, 0.1]. Finally we demonstrate how it is possible to fine-tune our neural network in real time (i.e., under 76 seconds), using the target parallel ultra-low power GAP 8 System-on-Chip on board the nano-drone, and we show how all adaptation operations can take place using less than 2mWh of energy, a small fraction of the available battery power.

O papel da interação no processo de ensino-aprendizagem de português para alunos surdos em uma escola inclusiva

In this article, it is discussed the role of interaction in the process of teaching and learning Portuguese of deaf students at an inclusive school. In the context where the research took place, the hearing teacher does not understand sign language, and there are, in her classroom, hearing students and four deaf students, being three of them sign language users. As the communication between the hearing teacher and the deaf students occurred in different codes - Portuguese and Brazilian sign language - and having a social-interactional approach of language (MOITA LOPES, 1986; FREIRE, 1999), we observed if the interaction among the subjects enabled the deaf students to understand what was being taught. The results showed that the fact of having four deaf students in the same classroom allowed them to work in a cooperative way. Besides, the sign language became more visible in this institution. On the other hand, the interaction between the teacher and her deaf students revealed to be of little significance to the learning process of this small group.