Lessons learned: Moderation und Gestaltung netzbasierter Diskussionsprozesse in Foren

Der Einsatz netzbasierter Diskussionsforen ist in vielen E-Learning-Szenarien zu finden: In ‚blended learning‘-Arrangements wird beispielsweise versucht, zwischen Präsenzsitzungen durch den Einsatz von Foren netzbasierte Diskussionsprozesse zu initiieren. Foren werden auch begleitend zur traditionellen Präsenzlehre eingesetzt, um z.B. der Besprechung von solchen Themen Raum und Zeit einzuräumen, welche in den wöchentlichen Präsenzsitzungen zu kurz kommen würden. Doch vor allem in rein virtuellen Lernszenarien spielen netzbasierte Foren eine besondere Rolle: Hier dienen sie als virtuelles Plenum der Kommunikation zwischen allen Teilnehmenden und bilden damit eine wichtige Funktion im Rahmen der Veranstaltung ab. Doch trotz dieser vielfältigen Einsatzmöglichkeiten lässt sich im Alltag der Hochschullehre immer wieder das Problem beobachten, dass Studierende die Option Foren zu nutzen nicht ausreichend aufgreifen. Oftmals werden Rolle und Aufgabe der Foren im Rahmen der gesamten Veranstaltung nicht transparent. Viele Hochschullehrende stellen sich die Frage, wie sie den Einsatz von Foren und damit die zusätzlichen Kommunikationsmöglichkeiten attraktiv gestalten können. Dieser Beitrag widmet sich diesem Problem, indem Einsatzszenarien netzbasierter Foren vorgestellt und aus den Erfahrungen mit mehreren virtuellen Konferenzen Gestaltungsoptionen und Moderationsstrategien für Foren abgeleitet werden.(DIPF/Orig.)

A contribution to semantic description of images and videos: an application of soft biometrics

Humans have a high ability to extract visual data information acquired by sight. Trought a learning process, which starts at birth and continues throughout life, image interpretation becomes almost instinctively. At a glance, one can easily describe a scene with reasonable precision, naming its main components. Usually, this is done by extracting low-level features such as edges, shapes and textures, and associanting them to high level meanings. In this way, a semantic description of the scene is done. An example of this, is the human capacity to recognize and describe other people physical and behavioral characteristics, or biometrics. Soft-biometrics also represents inherent characteristics of human body and behaviour, but do not allow unique person identification. Computer vision area aims to develop methods capable of performing visual interpretation with performance similar to humans. This thesis aims to propose computer vison methods which allows high level information extraction from images in the form of soft biometrics. This problem is approached in two ways, unsupervised and supervised learning methods. The first seeks to group images via an automatic feature extraction learning , using both convolution techniques, evolutionary computing and clustering. In this approach employed images contains faces and people. Second approach employs convolutional neural networks, which have the ability to operate on raw images, learning both feature extraction and classification processes. Here, images are classified according to gender and clothes, divided into upper and lower parts of human body. First approach, when tested with different image datasets obtained an accuracy of approximately 80% for faces and non-faces and 70% for people and non-person. The second tested using images and videos, obtained an accuracy of about 70% for gender, 80% to the upper clothes and 90% to lower clothes. The results of these case studies, show that proposed methods are promising, allowing the realization of automatic high level information image annotation. This opens possibilities for development of applications in diverse areas such as content-based image and video search and automatica video survaillance, reducing human effort in the task of manual annotation and monitoring.

Translation – The fifth language skill? A comparison of the role of translation in Finnish lukio and the International Baccalaureate Diploma Programme

This study attempts to answer the question “Should translation be considered a fifth language skill?” by examining and comparing the use of translation as a language learning and assessment method in the national Finnish lukio curriculum and the curriculum of the International Baccalaureate Diploma Programme (IBDP). Furthermore, the students’ ability to translate and their opinions on the usefulness of translation in language learning will be examined. The students’ opinions were gathered through a questionnaire that was given to 156 students studying in either lukio or the IBDP in Turku and Rovaniemi. I present and compare the role of translation in selected language teaching and learning methods and approaches, and discuss the effectiveness of translation as a language learning method and an assessment method. The theoretical discussion provides the basis for examining the role of translation as a language learning method and an assessment method in the curricula and final examinations of both education programs. The analysis of the two curricula indicated that there is a significant difference in the use of translation, as translation is used as a language learning method and as an assessment method in lukio, but is not used in either form in the IB. The data obtained through the questionnaire indicated that there is a difference in the level of language competence between the lukio and IB students and suggested that the curriculum in which the student studies has some effect on his/her cognitive use of translation, ability to translate and opinions concerning the usefulness of translation in language learning. The results indicated that both groups of students used translation, along with their mother tongue, as a cognitive language learning method, and, contrary to the expectations set by the analysis of the two curricula, the IB students performed better in the translation exercises than lukio students. Both groups of students agreed that translation is a useful language learning method, and indicated that the most common dictionaries they use are bilingual Internet dictionaries. The results suggest that translation is a specific skill that requires teaching and practice, and that perhaps the translation exercises used in lukio should be developed from translating individual words and phrases to translating cultural elements. In addition, the results suggest that perhaps the IB curriculum should include the use of translation exercises (e.g., communicative translation exercises) in order to help students learn to mediate between languages and cultures rather than learn languages in isolation from each other.

Metoda projektów w uczeniu się i nauczaniu fizyki w gimnazjum

Wydział Studiów Edukacyjnych: Zakład Pedeutologii

Effektivität der Qualifizierung von Teach First Fellows. Abschlussbericht zur summativen Evaluation der Sommerakademie von Teach First Deutschland

Teach First Fellows nehmen wie Lehrkräfte eine hohe Verantwortung für die weitere Entwicklung von Kindern und Jugendlichen wahr. Anders als Lehrkräfte verfügen sie jedoch nicht über eine grundständige Ausbildung für ihre spezifische Tätigkeit. Deshalb stellt sich die Frage, inwiefern es gelingen kann, durch eine sorgfältige Auswahl der Fellows, sowie durch eine intensive Kurzqualifizierung gute Voraussetzungen für den Erfolg ihrer Tätigkeit zu schaffen. Die vorliegende Studie evaluiert die Ergebnisse des Qualifizierungsprogramms, das Teach First Deutschland für seine Fellows entwickelt und implementiert hat. Dabei interessiert insbesondere, welches Wissen zur Unterstützung von Lernprozessen, welche Fähigkeiten zur Gestaltung von Unterricht und welche Erwartung von pädagogischer Wirksamkeit innerhalb eines halben Jahres bei den Fellows aufgebaut werden können. Um ein tieferes Verständnis der Wirkweise des Qualifizierungsprogramms zu ermöglichen, wurden neben den Ergebnissen auch dessen Prozesskomponenten einer Bewertung unterzogen. (DIPF/Orig.)

Padrões temporais e espaciais na detecção de resíduos e contaminantes na produção de aves e suínos no Brasil

Dissertação (mestrado)—Universidade de Brasília, Faculdade de Agronomia e Medicina Veterinária, 2016.

Trabalho docente e a emergência da imaginação e da criatividade na aprendizagem : possibilidades e desafios

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

O trabalho científico em ambiente de aprendizagem cooperativa no 5º ano de escolaridade: análise do ensino e da aprendizagem

Dissertação de mest., Unidade de Ciências Exactas e Humanas, Escola Superior de Educação, Univ. do Algarve, 1998

Conceptualisation de l’activité pédagogique en contexte d’apprentissage hybride et développement professionnel des enseignant(e)s universitaires

L’intégration des nouvelles technologies en enseignement supérieur ne devrait pas être vue comme un simple effet de mode, mais plutôt comme un cadre de réflexion sur les orientations nouvelles à donner à l’Université du 21ème siècle, en termes de culture institutionnelle, de ressources organisationnelles et d’opérationnalisation d’objectifs de recherche et d’enseignement (Duderstadt et al, 2002 ; Guri-Rosenblit, 2005). En effet, l’émergence d’une nouvelle tendance de formation post-secondaire, qu’est l’intégration des solutions virtuelles au présentiel, n’est pas sans incidences sur les pratiques enseignantes. Or, la littérature n’offre pas de modèles descriptifs satisfaisants permettant de mieux saisir la pertinence des liens entre l’enseignement en contexte d’apprentissage hybride et le développement professionnel des enseignants universitaires. Aussi avons-nous procédé par des observations participantes de deux cours en sciences de la gestion à HEC Montréal, dans les programmes de certificat de premier cycle ainsi que par des entretiens d’explicitation et d’autoconfrontation, pendant toute la session d’automne 2014, pour respectivement recueillir des données sur les pratiques réelles d’un maître d’enseignement, en sociologie du travail, et d’une chargée de cours, en gestion de projets. Notre analyse du corpus, par catégorisations conceptualisantes, a permis la production d’énoncés nomologiques rendant compte de la dynamique de relations entre ces deux phénomènes. Sur le plan scientifique, elle a apporté un éclairage nouveau sur les processus de construction identitaire professionnelle en pédagogie universitaire, en regard des mutations technologiques, socioculturelles et économiques que subissent l’Université, en général, et les pratiques enseignantes et étudiantes, en particulier. L’approche inductive utilisée a donc permis de définir la structure des interactions des deux phénomènes, selon la perspective des deux enseignants, et d’élaborer des modèles d’intervention enracinés dans leurs pratiques quotidiennes. Aussi sur le plan social, ces modèles sont-ils l’expression d’une grammaire de la pensée et de l’action, ancrée dans les valeurs des enseignants eux-mêmes. Nous avons pris en compte le paradigme de la tâche réelle, versus celui de la tâche prescrite, en termes de mise en œuvre concrète des processus pédagogiques, pour rendre les résultats de cette recherche signifiants pour la pratique. Les modèles, qui ont émergé de notre configuration de la pensée dialogique des participants, peuvent être intégrés à la formation des enseignants universitaires en contexte de bimodalisation de l’Université.

L’interaction comme méthode d’apprentissage du Français langue étrangère (FLE) en Suède

Mon travail s’inspire de l’idée de la Direction nationale de l’enseignement scolaire suédoise (Skolverket, 2011) qui suggère que « les élèves doivent avoir la possibilité de développer une capacité de communication et de compréhension de la langue ». Mon mémoire commence par une introduction générale, continue avec une analyse des manuels utilisés dans l’apprentissage du FLE et des activités favorisant l’interaction - échange réciproque verbale ou non verbale, pour terminer par une conclusion générale. Comme il n’existe pas d’enseignement sans méthodes appropriées, il existe des manuels qu’on peut utiliser afin de faciliter l’apprentissage par l’interaction de la langue cible. Les activités de communication orale et écrite d’ordre pédagogique sont indispensables. Tout comme l’écrit Revue française de pédagogie (1994 :133) « La classe est un système social complexe dont les parties sont en interaction dynamique, acteurs (enseignant et élève[s]), situation, matière selon des statuts sociaux. ». Pour effectuer mes recherches, j’ai porté mon attention sur l’analyse des manuels scolaires qu’il m’a été permis de consulter. Il s’agit des manuels d’entraide comme : Mais oui 3 et Escalade littéraire. Concernant l’analyse du matériel didactique favorisant l’interaction, ces deux manuels proposent des exercices de réflexion selon le niveau de l’apprenant. Dans mon travail, je m’intéresse à l’aspect didactique et linguistique de ces deux manuels scolaires.

Conceptualisation de l’activité pédagogique en contexte d’apprentissage hybride et développement professionnel des enseignant(e)s universitaires

L’intégration des nouvelles technologies en enseignement supérieur ne devrait pas être vue comme un simple effet de mode, mais plutôt comme un cadre de réflexion sur les orientations nouvelles à donner à l’Université du 21ème siècle, en termes de culture institutionnelle, de ressources organisationnelles et d’opérationnalisation d’objectifs de recherche et d’enseignement (Duderstadt et al, 2002 ; Guri-Rosenblit, 2005). En effet, l’émergence d’une nouvelle tendance de formation post-secondaire, qu’est l’intégration des solutions virtuelles au présentiel, n’est pas sans incidences sur les pratiques enseignantes. Or, la littérature n’offre pas de modèles descriptifs satisfaisants permettant de mieux saisir la pertinence des liens entre l’enseignement en contexte d’apprentissage hybride et le développement professionnel des enseignants universitaires. Aussi avons-nous procédé par des observations participantes de deux cours en sciences de la gestion à HEC Montréal, dans les programmes de certificat de premier cycle ainsi que par des entretiens d’explicitation et d’autoconfrontation, pendant toute la session d’automne 2014, pour respectivement recueillir des données sur les pratiques réelles d’un maître d’enseignement, en sociologie du travail, et d’une chargée de cours, en gestion de projets. Notre analyse du corpus, par catégorisations conceptualisantes, a permis la production d’énoncés nomologiques rendant compte de la dynamique de relations entre ces deux phénomènes. Sur le plan scientifique, elle a apporté un éclairage nouveau sur les processus de construction identitaire professionnelle en pédagogie universitaire, en regard des mutations technologiques, socioculturelles et économiques que subissent l’Université, en général, et les pratiques enseignantes et étudiantes, en particulier. L’approche inductive utilisée a donc permis de définir la structure des interactions des deux phénomènes, selon la perspective des deux enseignants, et d’élaborer des modèles d’intervention enracinés dans leurs pratiques quotidiennes. Aussi sur le plan social, ces modèles sont-ils l’expression d’une grammaire de la pensée et de l’action, ancrée dans les valeurs des enseignants eux-mêmes. Nous avons pris en compte le paradigme de la tâche réelle, versus celui de la tâche prescrite, en termes de mise en œuvre concrète des processus pédagogiques, pour rendre les résultats de cette recherche signifiants pour la pratique. Les modèles, qui ont émergé de notre configuration de la pensée dialogique des participants, peuvent être intégrés à la formation des enseignants universitaires en contexte de bimodalisation de l’Université.

Neural states in parietal areas during arm reaching

Since the first subdivisions of the brain into macro regions, it has always been thought a priori that, given the heterogeneity of neurons, different areas host specific functions and process unique information in order to generate a behaviour. Moreover, the various sensory inputs coming from different sources (eye, skin, proprioception) flow from one macro area to another, being constantly computed and updated. Therefore, especially for non-contiguous cortical areas, it is not expected to find the same information. From this point of view, it would be inconceivable that the motor and the parietal cortices, diversified by the information encoded and by the anatomical position in the brain, could show very similar neural dynamics. With the present thesis, by analyzing the population activity of parietal areas V6A and PEc with machine learning methods, we argue that a simplified view of the brain organization do not reflect the actual neural processes. We reliably detected a number of neural states that were tightly linked to distinct periods of the task sequence, i.e. the planning and execution of movement and the holding of target as already observed in motor cortices. The states before and after the movement could be further segmented into two states related to different stages of movement planning and arm posture processing. Rather unexpectedly, we found that activity during the movement could be parsed into two states of equal duration temporally linked to the acceleration and deceleration phases of the arm. Our findings suggest that, at least during arm reaching in 3D space, the posterior parietal cortex (PPC) shows low-level population neural dynamics remarkably similar to those found in the motor cortices. In addition, the present findings suggest that computational processes in PPC could be better understood if studied using a dynamical system approach rather than studying a mosaic of single units.

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.

Data sensitivity detection in chat interactions for privacy protection

In recent years, there has been exponential growth in using virtual spaces, including dialogue systems, that handle personal information. The concept of personal privacy in the literature is discussed and controversial, whereas, in the technological field, it directly influences the degree of reliability perceived in the information system (privacy ‘as trust’). This work aims to protect the right to privacy on personal data (GDPR, 2018) and avoid the loss of sensitive content by exploring sensitive information detection (SID) task. It is grounded on the following research questions: (RQ1) What does sensitive data mean? How to define a personal sensitive information domain? (RQ2) How to create a state-of-the-art model for SID?(RQ3) How to evaluate the model? RQ1 theoretically investigates the concepts of privacy and the ontological state-of-the-art representation of personal information. The Data Privacy Vocabulary (DPV) is the taxonomic resource taken as an authoritative reference for the definition of the knowledge domain. Concerning RQ2, we investigate two approaches to classify sensitive data: the first - bottom-up - explores automatic learning methods based on transformer networks, the second - top-down - proposes logical-symbolic methods with the construction of privaframe, a knowledge graph of compositional frames representing personal data categories. Both approaches are tested. For the evaluation - RQ3 – we create SPeDaC, a sentence-level labeled resource. This can be used as a benchmark or training in the SID task, filling the gap of a shared resource in this field. If the approach based on artificial neural networks confirms the validity of the direction adopted in the most recent studies on SID, the logical-symbolic approach emerges as the preferred way for the classification of fine-grained personal data categories, thanks to the semantic-grounded tailor modeling it allows. At the same time, the results highlight the strong potential of hybrid architectures in solving automatic tasks.

Addressing challenges in heterogeneous embedded systems programming: security and performance

Embedded systems are increasingly integral to daily life, improving and facilitating the efficiency of modern Cyber-Physical Systems which provide access to sensor data, and actuators. As modern architectures become increasingly complex and heterogeneous, their optimization becomes a challenging task. Additionally, ensuring platform security is important to avoid harm to individuals and assets. This study primarily addresses challenges in contemporary Embedded Systems, focusing on platform optimization and security enforcement. The initial section of this study delves into the application of machine learning methods to efficiently determine the optimal number of cores for a parallel RISC-V cluster to minimize energy consumption using static source code analysis. Results demonstrate that automated platform configuration is not only viable but also that there is a moderate performance trade-off when relying solely on static features. The second part focuses on addressing the problem of heterogeneous device mapping, which involves assigning tasks to the most suitable computational device in a heterogeneous platform for optimal runtime. The contribution of this section lies in the introduction of novel pre-processing techniques, along with a training framework called Siamese Networks, that enhances the classification performance of DeepLLVM, an advanced approach for task mapping. Importantly, these proposed approaches are independent from the specific deep-learning model used. Finally, this research work focuses on addressing issues concerning the binary exploitation of software running in modern Embedded Systems. It proposes an architecture to implement Control-Flow Integrity in embedded platforms with a Root-of-Trust, aiming to enhance security guarantees with limited hardware modifications. The approach involves enhancing the architecture of a modern RISC-V platform for autonomous vehicles by implementing a side-channel communication mechanism that relays control-flow changes executed by the process running on the host core to the Root-of-Trust. This approach has limited impact on performance and it is effective in enhancing the security of embedded platforms.