Bloom and solo taxonomies in planning teaching skills and competencies in machine learning

Há um esforço para alinhar um aparato de teorias, recursos e metodologias para promover um processo de ensino e aprendizagem efetivo. Todavia, não se trata de uma tarefa trivial, podendo incorrer no desalinhamento entre o previsto, almejado e resultados obtidos. Este estudo busca investigar o uso das taxonomias educacionais de Bloom e Solo como apoio o planejamento da oferta da unidade curricular de aprendizado de máquina num bacharelado em Ciências da Computação. Os objetivos educacionais a serem alcançados para esta unidade são estruturados dentro dessas taxonomias e o resultado avaliado por professores da disciplina da instituição onde o estudo foi realizado. Ainda que as taxonomias desenvolvidas tenham sido avaliadas positivamente, foram destacadas dificuldades na sua utilização.There is an effort to align an apparatus of theories, resources and methodologies to promote an effective teaching-learning process. However, this is not a trivial task, and may lead to misalignment between the expected, desired and results obtained. This study seeks to investigate the use of Bloom's and Solo's educational taxonomies to support the planning of offering the machine learning curricular unit in a bachelor's degree in Computer Science. The educational objectives to be achi eved for this unit are structured within these taxonomies and the result is evaluated by professors of the discipline at the institution where the study is carried out. Although the taxonomies developed were positively evaluated, difficulties in their use were highlighted

As taxonomias de Bloom e Solo no planejamento do ensino de habilidades e competências em aprendizado de máquina

There is an effort to align an apparatus of theories, resources and methodologies to promote an effective teaching-learning process. However, this is not a trivial task, and may lead to misalignment between the expected, desired and results obtained. This study seeks to investigate the use of Bloom's and Solo's educational taxonomies to support the planning of offering the machine learning curricular unit in a bachelor's degree in Computer Science. The educational objectives to be achieved for this unit are structured within these taxonomies and the result is evaluated by professors of the discipline at the institution where the study is carried out. Although the taxonomies developed were positively evaluated, difficulties in their use were highlighted.Há um esforço para alinhar um aparato de teorias, recursos e metodologias para promover um processo de ensino e aprendizagem efetivo. Todavia, não se trata de uma tarefa trivial, podendo incorrer no desalinhamento entre o previsto, almejado e resultados obtidos. Este estudo busca investigar o uso das taxonomias educacionais de Bloom e Solo como apoio o planejamento da oferta da unidade curricular de aprendizado de máquina num bacharelado em Ciências da Computação. Os objetivos educacionais a serem alcançados para esta unidade são estruturados dentro dessas taxonomias e o resultado avaliado por professores da disciplina da instituição onde o estudo foi realizado. Ainda que as taxonomias desenvolvidas tenham sido avaliadas positivamente, foram destacadas dificuldades na sua utilização. 

Teaching informatics to novices: big ideas and the necessity of optimal guidance

This thesis reports on the two main areas of our research: introductory programming as the traditional way of accessing informatics and cultural teaching informatics through unconventional pathways. The research on introductory programming aims to overcome challenges in traditional programming education, thus increasing participation in informatics. Improving access to informatics enables individuals to pursue more and better professional opportunities and contribute to informatics advancements. We aimed to balance active, student-centered activities and provide optimal support to novices at their level. Inspired by Productive Failure and exploring the concept of notional machine, our work focused on developing Necessity Learning Design, a design to help novices tackle new programming concepts. Using this design, we implemented a learning sequence to introduce arrays and evaluated it in a real high-school context. The subsequent chapters discuss our experiences teaching CS1 in a remote-only scenario during the COVID-19 pandemic and our collaborative effort with primary school teachers to develop a learning module for teaching iteration using a visual programming environment. The research on teaching informatics principles through unconventional pathways, such as cryptography, aims to introduce informatics to a broader audience, particularly younger individuals that are less technical and professional-oriented. It emphasizes the importance of understanding informatics's cultural and scientific aspects to focus on the informatics societal value and its principles for active citizenship. After reflecting on computational thinking and inspired by the big ideas of science and informatics, we describe our hands-on approach to teaching cryptography in high school, which leverages its key scientific elements to emphasize its social aspects. Additionally, we present an activity for teaching public-key cryptography using graphs to explore fundamental concepts and methods in informatics and mathematics and their interdisciplinarity. In broadening the understanding of informatics, these research initiatives also aim to foster motivation and prime for more professional learning of informatics

Understanding and improving requirements discovery in open source software development: an initial exploration

In proprietary or closed source software (CSS) development, there is a formal requirements engineering (RE) phase for discovering the requirements for an application. The requirements engineering process in CSS development is comprised of many formal practices (e.g., elicitation/generation). With the advent of the Internet and web-based tools and technologies, a new and different form of software development has emerged – globally distributed, typically volunteer driven, open source software (OSS) development. OSS development largely occurs in an informal, ad hoc manner and often lacks the formal developmental practices and processes of CSS development. The goal of this research is to gain a better understanding of the current state of RE in OSS, to identify potential directions for improving RE in OSS, and to empirically investigate the potential of some specific RE practices to improve OSS development. In pursuit of the research goal, in the initial phase of this research a web-based survey of practicing OSS developers was conducted to explore the current state of RE in OSS. Results supported the claims about informality of RE in OSS. as well as pointed towards potential directions for improvement. In the second phase of the research, a web-based experiment was conducted to investigate the actual benefits from a particular CSS development requirements generation practice – requirements reuse (operationalized as the availability of a library of reusable requirements within OSS development environment) – for OSS development. Analysis of the experimental data revealed that that the experimental treatment (availability of a library of reusable requirements) had a significant effect on the size of requirements message, requirements quantity and requirements completeness after controlling for covariates, indicating usefulness of the reusable library. The final phase of the research focused on OSS issue gathering approaches, a source of requirements for OSS. In this phase, a qualitative study of OSS developers explored how an OSS issue gathering approach, enforcing classification (versus free-form OSS issue gathering), may contribute to the misclassification problem (erroneous classification of OSS issues), and what can be done at the issue gathering interface level to mitigate the misclassification problem. Insights from the analysis of data from the final phase of the research shed light on the desirable characteristics that OSS issue gathering interfaces should possess for mitigating misclassification

AXMEDIS 2007 Conference Proceedings

The AXMEDIS International Conference series has been established since 2005 and is focused on the research, developments and applications in the cross-media domain, exploring innovative technologies to meet the challenges of the sector. AXMEDIS2007 deals with all subjects and topics related to cross-media and digital-media content production, processing, management, standards, representation, sharing, interoperability, protection and rights management. It addresses the latest developments and future trends of the technologies and their applications, their impact and exploitation within academic, business and industrial communities

Secure information sharing on Decentralized Social Networks.

Decentralized Social Networks (DSNs) are web-based platforms built on distributed systems (federations) composed of multiple providers (pods) that run the same social networking service. DSNs have been presented as a valid alternative to Online Social Networks (OSNs), replacing the centralized paradigm of OSNs with a decentralized distribution of the features o↵ered by the social networking platform. Similarly to commercial OSNs, DSNs o↵er to their subscribed users a number of distinctive features, such as the possibility to share resources with other subscribed users or the possibility to establish virtual relationships with other DSN users. On the other hand, each DSN user takes part in the service, choosing to store personal data on his/her own trusted provider inside the federation or to deploy his/her own provider on a private machine. This, thus, gives each DSN user direct control of his/hers data and prevents the social network provider from performing data mining analysis over these information. Unfortunately, the deployment of a personal DSN pod is not as simple as it sounds. Indeed, each pod’s owner has to maintain the security, integrity, and reliability of all the data stored in that provider. Furthermore, given the amount of data produced each day in a social network service, it is reasonable to assume that the majority of users cannot a↵ord the upkeep of an hardware capable of handling such amount of information. As a result, it has been shown that most of DSN users prefer to subscribe to an existing provider despite setting up a new one, bringing to an indirect centralization of data that leads DSNs to su↵er of the same issues as centralized social network services. In order to overcome this issue in this thesis we have investigated the possibility for DSN providers to lean on modern cloud-based storage services so as to o↵er a cloudbased information sharing service. This has required to deal with many challenges. As such, we have investigated the definition of cryptographic protocols enabling DSN users to securely store their resources in the public cloud, along with the definition of communication protocols ensuring that decryption keys are distributed only to authorized users, that is users that satisfy at least one of the access control policies specified by data owner according to Relationship-based access control model (RelBAC) [20, 34]. In addition, it has emerged that even DSN users have the same difficulties as OSN users in defining RelBAC rules that properly express their attitude towards their own privacy. Indeed, it is nowadays well accepted that the definition of access control policies is an error-prone task. Then, since misconfigured RelBAC policies may lead to harmful data release and may expose the privacy of others as well, we believe that DSN users should be assisted in the RelBAC policy definition process. At this purpose, we have designed a RelBAC policy recommendation system such that it can learn from DSN users their own attitude towards privacy, and exploits all the learned data to assist DSN users in the definition of RelBAC policies by suggesting customized privacy rules. Nevertheless, despite the presence of the above mentioned policy recommender, it is reasonable to assume that misconfigured RelBAC rules may appear in the system. However, rather than considering all misconfigured policies as leading to potentially harmful situations, we have considered that they might even lead to an exacerbated data restriction that brings to a loss of utility to DSN users. As an example, assuming that a low resolution and an high resolution version of the same picture are uploaded in the network, we believe that the low-res version should be granted to all those users who are granted to access the hi-res version, even though, due to a misconfiurated system, no policy explicitly authorizes them on the low-res picture. As such, we have designed a technique capable of exploiting all the existing data dependencies (i.e., any correlation between data) as a mean for increasing the system utility, that is, the number of queries that can be safely answered. Then, we have defined a query rewriting technique capable of extending defined access control policy authorizations by exploiting data dependencies, in order to authorize unauthorized but inferable data. In this thesis we present a complete description of the above mentioned proposals, along with the experimental results of the tests that have been carried out so as to verify the feasibility of the presented techniques

Audiovisual Metadata Platform Pilot Development (AMPPD), Final Project Report

This report documents the experience and findings of the Audiovisual Metadata Platform Pilot Development (AMPPD) project, which has worked to enable more efficient generation of metadata to support discovery and use of digitized and born-digital audio and moving image collections. The AMPPD project was carried out by partners Indiana University Libraries, AVP, University of Texas at Austin, and New York Public Library between 2018-2021

Component-based software engineering: a quantitative approach

Dissertação apresentada para a obtenção do Grau de Doutor em Informática pela Universidade Nova de Lisboa, Faculdade de Ciências e TecnologiaBackground: Often, claims in Component-Based Development (CBD) are only supported by qualitative expert opinion, rather than by quantitative data. This contrasts with the normal practice in other sciences, where a sound experimental validation of claims is standard practice. Experimental Software Engineering (ESE) aims to bridge this gap. Unfortunately, it is common to find experimental validation efforts that are hard to replicate and compare, to build up the body of knowledge in CBD. Objectives: In this dissertation our goals are (i) to contribute to evolution of ESE, in what concerns the replicability and comparability of experimental work, and (ii) to apply our proposals to CBD, thus contributing to its deeper and sounder understanding. Techniques: We propose a process model for ESE, aligned with current experimental best practices, and combine this model with a measurement technique called Ontology-Driven Measurement (ODM). ODM is aimed at improving the state of practice in metrics definition and collection, by making metrics definitions formal and executable,without sacrificing their usability. ODM uses standard technologies that can be well adapted to current integrated development environments. Results: Our contributions include the definition and preliminary validation of a process model for ESE and the proposal of ODM for supporting metrics definition and collection in the context of CBD. We use both the process model and ODM to perform a series experimental works in CBD, including the cross-validation of a component metrics set for JavaBeans, a case study on the influence of practitioners expertise in a sub-process of component development (component code inspections), and an observational study on reusability patterns of pluggable components (Eclipse plug-ins). These experimental works implied proposing, adapting, or selecting adequate ontologies, as well as the formal definition of metrics upon each of those ontologies. Limitations: Although our experimental work covers a variety of component models and, orthogonally, both process and product, the plethora of opportunities for using our quantitative approach to CBD is far from exhausted. Conclusions: The main contribution of this dissertation is the illustration, through practical examples, of how we can combine our experimental process model with ODM to support the experimental validation of claims in the context of CBD, in a repeatable and comparable way. In addition, the techniques proposed in this dissertation are generic and can be applied to other software development paradigms.Departamento de Informática of the Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa (FCT/UNL); Centro de Informática e Tecnologias da Informação of the FCT/UNL; Fundação para a Ciência e Tecnologia through the STACOS project(POSI/CHS/48875/2002); The Experimental Software Engineering Network (ESERNET);Association Internationale pour les Technologies Objets (AITO); Association forComputing Machinery (ACM