Recent research expresses serious doubts on the concept of unlearning. It is argued that knowledge cannot be discarded or eliminated in order to make space for the creation of new knowledge. Taking into account the recent scepticism, we focus on the cognitive dimension of unlearning and propose an alternative conceptualization. Considering how far unlearning can go from a psychological/cognitive scientific perspective, we propose that unlearning is about reducing the influence of old knowledge on our cognitive capacity. This study: (a) investigates the unlearning process within the cognitive domain and on an individual level and (b) proposes unlearning process triggers that detract or facilitate the knowledge change process, which could subsequently contribute to unlearning on an organizational level.

Esta tese apresenta movimentos e teorias que demandam a mudança de paradigma na educação básica. A adoção de métodos ativos de aprendizagem com uso de tecnologia digital é defendida como oportunidade para concretização da inovação desejada. O problema é definido com a identificação de barreiras para concretização da mudança em escala. A intenção de diferenciar a educação esbarra em limitações na formação e vivência de educadores em relação ao paradigma desejado e ao uso da tecnologia digital. Uma pesquisa ação participante foi conduzida em um centro social, com organização semelhante a uma escola, com objetivo de envolver educadores e gestores locais na construção de instrumentos e na melhoria de práticas educacionais a partir do uso de tecnologias digitais com métodos ativos de aprendizagem. A estratégia proposta foi estruturada sobre quatro elementos que fundamentaram intervenções para mudanças de práticas educacionais: Referencial de Habilidades do Século XXI como possíveis objetivos; aprendizagem por atividades; Rede Social com biblioteca individual no papel de ambiente virtual de aprendizagem; a construção de rubricas por parte dos educadores para detalhar, valorizar e monitorar novas dimensões de avaliação. A partir de uma análise situacional foram propostos ciclos de mudanças de práticas, onde atores locais se envolveram com o planejamento, implementação e análise de mudanças viabilizadas pelo uso de tecnologias digitais e alinhadas com os objetivos priorizados pela equipe local. Estes ciclos incluíram a construção de instrumentos destinados a facilitar e sistematizar as estratégias propostas. Os resultados mostram que as atividades planejadas e desenvolvidas pelos educadores evoluíram ao longo dos ciclos aproximando-se do paradigma desejado. A análise do uso da rede social aponta para o crescimento da autoria e expressão dos alunos, mas não apresenta evidências de interações que promovam a reflexão dos aprendizes autores. As rubricas mostraram-se valiosas para aprendizagem ativa dos educadores, porém apresentaram certa incompatibilidade com práticas construtivistas alinhadas com o paradigma desejado. A estratégia foi eficiente em provocar o desequilíbrio dos educadores e iniciá-los em práticas, reflexões e aprendizagem ativa sobre o paradigma desejado, porém várias limitações são apontadas para o uso da estratégia em grande escala. O desenvolvimento de sistemas digitais específicos para o apoio à mudança desejada é discutido e sugerido para estudos futuros. / This thesis presents moves and theories that ask for change of paradigm on basic education. The adoption of active learning methods with the use of digital technology is thought as an opportunity for the consolidation of the desired innovation. The identification of barriers to consolidate the change in large scale is presented as the research problem. The intention to differentiate education faces a barrier on educators limited education and experience on the desired paradigm as well as on the use of digital technology. An action participatory research was conducted on a social center, structured similar to a regular school, having as goal the engagement of local educators and coordinators on the design of instruments and on the improvement of educational practices enabled by the use of digital technologies with active learning methods. The strategy proposed was based on four elements that influenced the interventions for the change on educational practices: Framework on 21st Century Skills as possible goals; learning by activities; a social network with personal library on the role of digital learning environment; educators building rubrics to design, give value and monitor new dimensions for evaluation. Based on a situational analysis, cycles of change on practices were proposed on a way that local subjects got involved with planning, implementation and analysis of changes enabled by the use of digital technology and aligned with the goals selected by the local educational team. These cycles included the creation of instruments designed to facilitate and systematize the proposed strategies. The results show that the activities designed and implemented by the educators have evolved through the research cycles becoming better aligned with the desired paradigm. The strategy has proved to be efficient to unbalance the educators and start them in practices, reflections and active learning related to the desired paradigm, but in the other hand, some limitations were pointed out when considering the adoption of this strategy in a systemic way. The development of digital systems designed specifically to support the desired change is discussed and suggested for future studies.

Egypt in the early Byzantine period was a bilingual country where Greek and Egyptian (Coptic) were used alongside each other. Historical studies as well as linguistic studies of the phonology and lexicon of early Byzantine Greek in Egypt testify to this situation. In order to describe the linguistic traces the language-contact situation left behind in individuals' linguistic output, this thesis analyses the syntax of early Byzantine Greek texts from Egypt. The primary object of interest is bilingual interference in the syntax of verbs, adverbial phrases, discourse organising devices and formulaic sections. The thesis is based on a corpus of Greek and Coptic private letters on papyrus, all of which date from the fourth to mid-seventh centuries, originate from Egypt and belong to bilingual, Greek-Coptic, papyrus archives. The data is analysed with a particular focus on three interrelated questions: (1) What kinds of deviations from the standard pattern appear and to what extent can language-internal confusion account for them? (2) How are instances of language-internal confusion and bilingual interference distributed over the selected syntactic domains? (3) Do deviations from the standard accumulate in certain letters or archives belonging to the corpus and do they correlate with additional indicators of bilingualism such as code-switching or circumstantial information about writers? In addition to answering these questions, the thesis seeks to explain the observed distributions. The results obtained from this study suggest that bilingual interference is linked to the way writers assimilated structures. In fact, there is a marked difference between deviating syntactic structures in non-formulaic and formulaic contexts. The study further suggests that bilingual interference does not affect every domain of syntax to the same degree. The degree of complexity of the syntactic structure in question as well as the degree of divergence from the corresponding Coptic structure seem to play a role.

Missense mutations account for more than 50% of the mutations known to be involved in human inherited diseases. Missense classification is a challenging task that involves sequencing of the genome, identifying the variations, and assessing their deleteriousness. This is a very laborious, time and cost intensive task to be carried out in the laboratory. Advancements in bioinformatics have led to several large-scale next-generation genome sequencing projects, and subsequently the identification of genome variations. Several studies have combined this data with information on established deleterious and neutral variants to develop machine learning based classifiers. There are significant issues with the missense classifiers due to which missense classification is still an open area of research. These issues can be classified under two broad categories: (a) Dataset overlap issue - where the performance estimates reported by the state-of-the-art classifiers are overly optimistic as they have often been evaluated on datasets that have significant overlaps with their training datasets. Also, there is no comparative analysis of these tools using a common benchmark dataset that contains no overlap with the training datasets, therefore making it impossible to identify the best classifier among them. Also, such a common benchmark dataset is not available. (b) Inadequate capture of vital biological information of the protein and mutations - such as conservation of long-range amino acid dependencies, changes in certain physico-chemical properties of the wild-type and mutant amino acids, due to the mutation. It is also not clear how to extract and use this information. Also, some classifiers use structural information that is not available for all proteins. In this study, we compiled a new dataset, containing around 2 - 15% overlap with the popularly used training datasets, with 18,036 mutations in 5,642 proteins. We reviewed and evaluated 15 state-of-the-art missense classifiers - SIFT, PANTHER, PROVEAN, PhD-SNP, Mutation Assessor, FATHMM, SNPs&GO, SNPs&GO3D, nsSNPAnalyzer, PolyPhen-2, SNAP, MutPred, PON-P2, CONDEL and MetaSNP, using the six metrics - accuracy, sensitivity, specificity, precision, NPV and MCC. When evaluated on our dataset, we observe huge performance drops from what has been claimed. Average drop in the performance for these 13 classifiers are around 15% in accuracy, 17% in sensitivity, 14% in specificity, 7% in NPV, 24% in precision and 30% in MCC. With this we show that the performance of these tools is not consistent on different datasets, and thus not reliable for practical use in a clinical setting. As we observed that the performance of the existing classifiers is poor in general, we tried to develop a new classifier that is robust and performs consistently across datasets, and better than the state-of-the-art classifiers. We developed a novel method of capturing long-range amino acid dependency conservation by boosting the conservation frequencies of substrings of amino acids of various lengths around the mutation position using AdaBoost learning algorithm. This score alone performed equivalently to the sequence conservation based tools in classifying missense mutations. Popularly used sequence conservation properties was combined with this boosted long-range dependency conservation scores using AdaBoost algorithm. This reduced the class bias, and improved the overall accuracy of the classifier. We trained a third classifier by incorporating changes in 21 important physico-chemical properties, due to the mutation. In this case, we observed that the overall performance further improved and the class bias further reduced. The performance of our final classifier is comparable with the state-of-the-art classifiers. We did not find any significant improvement, but the class-specific accuracies and precisions are marginally better by around 1-2% than those of the existing classifiers. In order to understand our classifier better, we dissected our benchmark dataset into: (a) seen and unseen proteins, and (b) pure and mixed proteins, and analysed the performance in detail. Finally we concluded that our classifier performs consistently across each of these categories of seen, unseen, pure and mixed protein.

Esta tese apresenta movimentos e teorias que demandam a mudança de paradigma na educação básica. A adoção de métodos ativos de aprendizagem com uso de tecnologia digital é defendida como oportunidade para concretização da inovação desejada. O problema é definido com a identificação de barreiras para concretização da mudança em escala. A intenção de diferenciar a educação esbarra em limitações na formação e vivência de educadores em relação ao paradigma desejado e ao uso da tecnologia digital. Uma pesquisa ação participante foi conduzida em um centro social, com organização semelhante a uma escola, com objetivo de envolver educadores e gestores locais na construção de instrumentos e na melhoria de práticas educacionais a partir do uso de tecnologias digitais com métodos ativos de aprendizagem. A estratégia proposta foi estruturada sobre quatro elementos que fundamentaram intervenções para mudanças de práticas educacionais: Referencial de Habilidades do Século XXI como possíveis objetivos; aprendizagem por atividades; Rede Social com biblioteca individual no papel de ambiente virtual de aprendizagem; a construção de rubricas por parte dos educadores para detalhar, valorizar e monitorar novas dimensões de avaliação. A partir de uma análise situacional foram propostos ciclos de mudanças de práticas, onde atores locais se envolveram com o planejamento, implementação e análise de mudanças viabilizadas pelo uso de tecnologias digitais e alinhadas com os objetivos priorizados pela equipe local. Estes ciclos incluíram a construção de instrumentos destinados a facilitar e sistematizar as estratégias propostas. Os resultados mostram que as atividades planejadas e desenvolvidas pelos educadores evoluíram ao longo dos ciclos aproximando-se do paradigma desejado. A análise do uso da rede social aponta para o crescimento da autoria e expressão dos alunos, mas não apresenta evidências de interações que promovam a reflexão dos aprendizes autores. As rubricas mostraram-se valiosas para aprendizagem ativa dos educadores, porém apresentaram certa incompatibilidade com práticas construtivistas alinhadas com o paradigma desejado. A estratégia foi eficiente em provocar o desequilíbrio dos educadores e iniciá-los em práticas, reflexões e aprendizagem ativa sobre o paradigma desejado, porém várias limitações são apontadas para o uso da estratégia em grande escala. O desenvolvimento de sistemas digitais específicos para o apoio à mudança desejada é discutido e sugerido para estudos futuros. / This thesis presents moves and theories that ask for change of paradigm on basic education. The adoption of active learning methods with the use of digital technology is thought as an opportunity for the consolidation of the desired innovation. The identification of barriers to consolidate the change in large scale is presented as the research problem. The intention to differentiate education faces a barrier on educators limited education and experience on the desired paradigm as well as on the use of digital technology. An action participatory research was conducted on a social center, structured similar to a regular school, having as goal the engagement of local educators and coordinators on the design of instruments and on the improvement of educational practices enabled by the use of digital technologies with active learning methods. The strategy proposed was based on four elements that influenced the interventions for the change on educational practices: Framework on 21st Century Skills as possible goals; learning by activities; a social network with personal library on the role of digital learning environment; educators building rubrics to design, give value and monitor new dimensions for evaluation. Based on a situational analysis, cycles of change on practices were proposed on a way that local subjects got involved with planning, implementation and analysis of changes enabled by the use of digital technology and aligned with the goals selected by the local educational team. These cycles included the creation of instruments designed to facilitate and systematize the proposed strategies. The results show that the activities designed and implemented by the educators have evolved through the research cycles becoming better aligned with the desired paradigm. The strategy has proved to be efficient to unbalance the educators and start them in practices, reflections and active learning related to the desired paradigm, but in the other hand, some limitations were pointed out when considering the adoption of this strategy in a systemic way. The development of digital systems designed specifically to support the desired change is discussed and suggested for future studies.

Esta tese apresenta movimentos e teorias que demandam a mudança de paradigma na educação básica. A adoção de métodos ativos de aprendizagem com uso de tecnologia digital é defendida como oportunidade para concretização da inovação desejada. O problema é definido com a identificação de barreiras para concretização da mudança em escala. A intenção de diferenciar a educação esbarra em limitações na formação e vivência de educadores em relação ao paradigma desejado e ao uso da tecnologia digital. Uma pesquisa ação participante foi conduzida em um centro social, com organização semelhante a uma escola, com objetivo de envolver educadores e gestores locais na construção de instrumentos e na melhoria de práticas educacionais a partir do uso de tecnologias digitais com métodos ativos de aprendizagem. A estratégia proposta foi estruturada sobre quatro elementos que fundamentaram intervenções para mudanças de práticas educacionais: Referencial de Habilidades do Século XXI como possíveis objetivos; aprendizagem por atividades; Rede Social com biblioteca individual no papel de ambiente virtual de aprendizagem; a construção de rubricas por parte dos educadores para detalhar, valorizar e monitorar novas dimensões de avaliação. A partir de uma análise situacional foram propostos ciclos de mudanças de práticas, onde atores locais se envolveram com o planejamento, implementação e análise de mudanças viabilizadas pelo uso de tecnologias digitais e alinhadas com os objetivos priorizados pela equipe local. Estes ciclos incluíram a construção de instrumentos destinados a facilitar e sistematizar as estratégias propostas. Os resultados mostram que as atividades planejadas e desenvolvidas pelos educadores evoluíram ao longo dos ciclos aproximando-se do paradigma desejado. A análise do uso da rede social aponta para o crescimento da autoria e expressão dos alunos, mas não apresenta evidências de interações que promovam a reflexão dos aprendizes autores. As rubricas mostraram-se valiosas para aprendizagem ativa dos educadores, porém apresentaram certa incompatibilidade com práticas construtivistas alinhadas com o paradigma desejado. A estratégia foi eficiente em provocar o desequilíbrio dos educadores e iniciá-los em práticas, reflexões e aprendizagem ativa sobre o paradigma desejado, porém várias limitações são apontadas para o uso da estratégia em grande escala. O desenvolvimento de sistemas digitais específicos para o apoio à mudança desejada é discutido e sugerido para estudos futuros. / This thesis presents moves and theories that ask for change of paradigm on basic education. The adoption of active learning methods with the use of digital technology is thought as an opportunity for the consolidation of the desired innovation. The identification of barriers to consolidate the change in large scale is presented as the research problem. The intention to differentiate education faces a barrier on educators limited education and experience on the desired paradigm as well as on the use of digital technology. An action participatory research was conducted on a social center, structured similar to a regular school, having as goal the engagement of local educators and coordinators on the design of instruments and on the improvement of educational practices enabled by the use of digital technologies with active learning methods. The strategy proposed was based on four elements that influenced the interventions for the change on educational practices: Framework on 21st Century Skills as possible goals; learning by activities; a social network with personal library on the role of digital learning environment; educators building rubrics to design, give value and monitor new dimensions for evaluation. Based on a situational analysis, cycles of change on practices were proposed on a way that local subjects got involved with planning, implementation and analysis of changes enabled by the use of digital technology and aligned with the goals selected by the local educational team. These cycles included the creation of instruments designed to facilitate and systematize the proposed strategies. The results show that the activities designed and implemented by the educators have evolved through the research cycles becoming better aligned with the desired paradigm. The strategy has proved to be efficient to unbalance the educators and start them in practices, reflections and active learning related to the desired paradigm, but in the other hand, some limitations were pointed out when considering the adoption of this strategy in a systemic way. The development of digital systems designed specifically to support the desired change is discussed and suggested for future studies.

Le but de cette thèse est de développer des méthodes pratiques plus performantes pour la détection d'instances de classes d'objets de la vie quotidienne dans les images. Nous présentons une famille de détecteurs qui incorporent trois types d'indices visuelles performantes – histogrammes de gradients orientés (Histograms of Oriented Gradients, HOG), motifs locaux binaires (Local Binary Patterns, LBP) et motifs locaux ternaires (Local Ternary Patterns, LTP) – dans des méthodes de discrimination efficaces de type machine à vecteur de support latent (Latent SVM), sous deux régimes de réduction de dimension – moindres carrées partielles (Partial Least Squares, PLS) et sélection de variables par élagage de poids SVM (SVM Weight Truncation). Sur plusieurs jeux de données importantes, notamment ceux du PASCAL VOC2006 et VOC2007, INRIA Person et ETH Zurich, nous démontrons que nos méthodes améliorent l'état de l'art du domaine. Nos contributions principales sont : – Nous étudions l'indice visuelle LTP pour la détection d'objets. Nous démontrons que sa performance est globalement mieux que celle des indices bien établies HOG et LBP parce qu'elle permet d'encoder à la fois la texture locale de l'objet et sa forme globale, tout en étant résistante aux variations d'éclairage. Grâce à ces atouts, LTP fonctionne aussi bien pour les classes qui sont caractérisées principalement par leurs structures que pour celles qui sont caractérisées par leurs textures. En plus, nous démontrons que les indices HOG, LBP et LTP sont bien complémentaires, de sorte qu'un jeux d'indices étendu qui intègre tous les trois améliore encore la performance. – Les jeux d'indices visuelles performantes étant de dimension assez élevée, nous proposons deux méthodes de réduction de dimension afin d'améliorer leur vitesse et réduire leur utilisation de mémoire. La première, basée sur la projection moindres carrés partielles, diminue significativement le temps de formation des détecteurs linéaires, sans réduction de précision ni perte de vitesse d'exécution. La seconde, fondée sur la sélection de variables par l'élagage des poids du SVM, nous permet de réduire le nombre d'indices actives par un ordre de grandeur avec une réduction minime, voire même une petite augmentation, de la précision du détecteur. Malgré sa simplicité, cette méthode de sélection de variables surpasse toutes les autres approches que nous avons mis à l'essai. – Enfin, nous décrivons notre travail en cours sur une nouvelle variété d'indice visuelle – les « motifs locaux quantifiées » (Local Quantized Patterns, LQP). LQP généralise les indices existantes LBP / LTP en introduisant une étape de quantification vectorielle – ce qui permet une souplesse et une puissance analogue aux celles des approches de reconnaissance visuelle « sac de mots », qui sont basées sur la quantification des régions locales d'image considérablement plus grandes – sans perdre la simplicité et la rapidité qui caractérisent les approches motifs locales actuelles parce que les résultats de la quantification puissent être pré-compilés et stockés dans un tableau. LQP permet une augmentation considérable de la taille du support local de l'indice, et donc de sa puissance discriminatoire. Nos expériences indiquent qu'elle a la meilleure performance de toutes les indices visuelles testés, y compris HOG, LBP et LTP. / The goal of this thesis is to develop better practical methods for detecting common object classes in real world images. We present a family of object detectors that combine Histogram of Oriented Gradient (HOG), Local Binary Pattern (LBP) and Local Ternary Pattern (LTP) features with efficient Latent SVM classifiers and effective dimensionality reduction and sparsification schemes to give state-of-the-art performance on several important datasets including PASCAL VOC2006 and VOC2007, INRIA Person and ETHZ. The three main contributions are as follows. Firstly, we pioneer the use of Local Ternary Pattern features for object detection, showing that LTP gives better overall performance than HOG and LBP, because it captures both rich local texture and object shape information while being resistant to variations in lighting conditions. It thus works well both for classes that are recognized mainly by their structure and ones that are recognized mainly by their textures. We also show that HOG, LBP and LTP complement one another, so that an extended feature set that incorporates all three of them gives further improvements in performance. Secondly, in order to tackle the speed and memory usage problems associated with high-dimensional modern feature sets, we propose two effective dimensionality reduction techniques. The first, feature projection using Partial Least Squares, allows detectors to be trained more rapidly with negligible loss of accuracy and no loss of run time speed for linear detectors. The second, feature selection using SVM weight truncation, allows active feature sets to be reduced in size by almost an order of magnitude with little or no loss, and often a small gain, in detector accuracy. Despite its simplicity, this feature selection scheme outperforms all of the other sparsity enforcing methods that we have tested. Lastly, we describe work in progress on Local Quantized Patterns (LQP), a generalized form of local pattern features that uses lookup table based vector quantization to provide local pattern style pixel neighbourhood codings that have the speed of LBP/LTP and some of the flexibility and power of traditional visual word representations. Our experiments show that LQP outperforms all of the other feature sets tested including HOG, LBP and LTP.

This study investigates key components for effective Indigenous adult language learning and resulting health and wellness benefits following a Dene research paradigm with Grounded Theory applications. Eight colleagues in the Master’s of Indigenous Language Revitalization (MILR) program at the University of Victoria participated in open ended discussions on their experiences in learning their Indigenous languages as adults. These Indigenous adults reclaiming their ancestral languages report experiencing benefits related to health and overall well-being. Physical fitness and healthy weight loss, emotional healing and a greater sense of identity all surfaced for my colleagues while working towards or achieving fluency in their languages. The main methods of successful language learning used were the Master-Apprentice Program, Total Physical Response and Accelerated Second Language Acquisition. Tips for learning the languages are included. / Graduate / 2021-04-13

The aim of the study is to examine the teachers’ working methods for reading and writing development among adult learners who are at the beginning of their literacy development, as the methods for reading and writing development can vary depending on research, activities and teachers. Semi-structured interviews and observations are used to answer the research questions, and the data that emerges is processed with a thematic analysis method. The results show that repetition and support, both by teachers as well as students, are integrated parts of study path 1. According to the findings, study part 1’s primary goal is to help students become functionally literate, which calls for a basic understanding of reading and writing. At the same time, methods for reading and writing development such as the sound method, the Witting method, the whole word method and visual support (which is compared to the Bornholm model in this study) are useful for the study path’s goal. Following this, the results based on the research methodologies are compared to the theoretical foundations and the prior research before being further analyzed from a critical perspective. In conclusion, it is possible to notice a degree of agreement amongst the interviewed teachers and how their methods and strategies are practiced during the observations with the aim of enhancing the reading and writing development among adult learners who are at the beginning of their literacy development. Song and imagery are employed as a tool to contextualize the sounds and the new words, whereas the sound method, the Witting method and the whole word method are recurring and more well-established techniques.

The purpose of this study was to compare the effects of Web-based learning (WBL) versus those of traditional instructor-based learning (IBL) on student knowledge and satisfaction based on student learning styles. Other goals were to determine if WBL is more effective for those with a particular learning style. The study examined a sample of undergraduate students who were enrolled in the college algebra offered as both oncampus instructor-based (traditional) and Web-based at the university of North Texas (UNT). A total of 36 Web-based students and 58 instructor-based students participated in this study. This study utilized a posttest-only intact group. The Kolb Learning Style Inventory (LSI) measured the learning styles of students. This study used learning methods (Web-based learning (WBL), instructor-based learning (IBL)), and learning styles (Diverger, Converger, Assimilator, and Accommodator) as independent variables. Student knowledge and student satisfaction was measured at the end of the course as independent variables. Based upon the results of the LSI, post-learning exam, and satisfaction a series of two-way analysis of variance (ANOVA 4x2) techniques and independent variable tests was used for each of the dependent variables, knowledge and satisfaction, based on a student's learning styles. The results revealed that students' learning styles were statistically significant for knowledge when learning on the Web versus instructor-led. In addition, the learning style was important factor for Web-based learning. The results indicated students with Assimilator and Converger as learning styles received better result with the Web-based learning method. Furthermore, this study found there is significant difference in student satisfaction based on learning on the Web versus instructor-led. The outcome of the study could be of particular interest in educational institutions; especially those that want to transfer some of their traditional courses onto the Web. The finding also has implications for training organizations as they seek efficient and effective ways to satisfy their training needs.