Puzzle Based Learning in Undergraduate Studies

All undergraduate Radiography students require training in image interpretation and evaluation of x-ray images in their second year of studies as part of work integrated learning. The method of teaching pedagogy influences the student\u27s learning process and recall ability during examinations. if the teaching process moves to a student-centred approach, students become responsible for their own learning allowing active engagement and construction of their knowledge systems. Aim/ Objectives The aim of the study is to implement and evaluate the use of puzzle-based learning in the teaching and learning process of undergraduate studies Objectives To determine the efficacy of crossword and jigsaw puzzles as a novel teaching tool for medical imaging education To increase student\u27s interest and involvement with image interpretation topics To improve and assess recognition and recall of medical terminology To improve the understanding of innovative learning Methods The study is a cross sectional qualitative research design. Approval will be obtained from the Research and Ethics Committee of health Sciences. Online consent will be obtained from students involved, by means of Google Form submission, followed by an information session on Blackboard collaborate on the topic "Image evaluation and interpretation of radiographic imaging". Conclusion The research will prove the important collaboration of active teaching methodologies with simple, easy to use didactic material to improve student\u27s understanding of basic concepts in their core module subjec

CONCEPTUAL IMAGE OF ENGLISH, RUSSIAN AND UZBEK SOCIO-POLITICAL DISCOURSE (COMPARISON)

The thesaurus of socio-political vocabulary is based on intra-systemic conceptual relations between units of this lexical group. The concept “power” is a structure-formed mean for this vocabulary. Being the main descriptors of the thesaurus of socio-political vocabulary, concepts project a number of their characteristics on to the lexical groups organized by them. Moreover, the structure of the corresponding branches of the thesaurus is largely determined by the internal, structural features of the concepts. As a result of this, it seems necessary to analyze these key concepts for socio-political vocabulary, as well as the concepts “people” and “nation” that are significant for socio-political vocabulary. As it mentioned, the methodology of conceptual analysis has not been fully developed yet and is presented mainly in the form of specific experiments of such as analysis. The conceptual system is reflected in the language, a metaphor that may not even be understood by the speakers. Despite the fact that at present there is no uniformity in understanding the relationship between the concept and the semantic structure of the word, a methodology for researching the concept based on the analysis of the basic representations of the word in the language is established. A conceptual analysis of a word involves the consideration of its various aspects: lexicographic representations, denotative component, pragmatic meanings, compatibility, associative connection sand identification on the basis of this connection with the “world image” of native speakers, with the peculiarities of the ideas in the collective consciousness of their knowledge of the world

Grounding semantics in robots for Visual Question Answering

In this thesis I describe an operational implementation of an object detection and description system that incorporates in an end-to-end Visual Question Answering system and evaluated it on two visual question answering datasets for compositional language and elementary visual reasoning

Ecologizing knowledge, reverbering for teaching being-doing in (post) pandemic times

We present results of a study about the challenges of teaching practice in the context of the pandemic that we lived in 2020. We take complex thinking as the guiding thread to ecologize knowledge and establish relationships and reflections with the voices of female and male teachers in the basic education network that worked with this scenario. In this context, ecologize has the meaning of knowing oneself and the other, based on conceptual pluralities and valuing life. The methodological path was inspired in Bernard Charlot\u27s methodological instrument (2009) for the generation and understanding of the voices of female and male teachers who lived the investigated daily life. The aforementioned instrument, called “balances of knowledge”, allowed the analysis of the data generated, which is represented in a picture, a word cloud where the meanings of being and teaching in the path of the year of the pandemic lived are, the main voices being expressed: ecologize, emergency, digital technology, learning, feelings, meaningful, innovation, learning, fabrics, possibilities and transformation. The interconnections between these voices and the theoretical concepts outlined in the study reverberate movements towards the knowledge of the self, giving meaning, with activation of complex thought networks, that the image of the figures that we present may signal new ways to face the challenges of the situations experienced

The Nihilistic Image of the World

In The Gay Science (1882), Nietzsche heralded the problem of nihilism with his famous declaration “God is dead,” which signalled the collapse of a transcendent basis for the underpinning morality of European civilization. He associated this collapse with the rise of the natural sciences whose methods and pervasive outlook he was concerned would progressively shape “an essentially mechanistic [and hence meaningless] world.” The Russian novelist Turgenev had also associated a scientific outlook with nihilism through the scientism of Yevgeny Bazarov, a character in Fathers and Sons. A century or so later, can we correlate relevant scientific results and the nihilistic consequences that worried these and other nineteenth-century authors? The aversion of empirical disciplines to such non-empirical concepts as personhood and agency, and their methodological exclusion of the very idea of value would make this a difficult task. Recent neuroscientific (MRI) investigations into free will might provide a useful starting point for anyone interested in this sociological question, as might the research results of experimental or evolutionary psychologists studying what they take human beings to be. In this paper, I turn instead to a more basic issue of science. I will question the universality of a principle of identity assumed by a scientific understanding of what it means for anything to exist. I will argue that the essential features of human existence present an exception to this principle of identity and thereby fall outside the grasp of scientific inquiry. The basis of this argument will be an explanation of why it is nonetheless rational for us to affirm personhood, agency, moral values, and many more concepts that disappear under the scrutiny of the sciences

Going Deeper with Semantics: Video Activity Interpretation using Semantic Contextualization

A deeper understanding of video activities extends beyond recognition of underlying concepts such as actions and objects: constructing deep semantic representations requires reasoning about the semantic relationships among these concepts, often beyond what is directly observed in the data. To this end, we propose an energy minimization framework that leverages large-scale commonsense knowledge bases, such as ConceptNet, to provide contextual cues to establish semantic relationships among entities directly hypothesized from video signal. We mathematically express this using the language of Grenander's canonical pattern generator theory. We show that the use of prior encoded commonsense knowledge alleviate the need for large annotated training datasets and help tackle imbalance in training through prior knowledge. Using three different publicly available datasets - Charades, Microsoft Visual Description Corpus and Breakfast Actions datasets, we show that the proposed model can generate video interpretations whose quality is better than those reported by state-of-the-art approaches, which have substantial training needs. Through extensive experiments, we show that the use of commonsense knowledge from ConceptNet allows the proposed approach to handle various challenges such as training data imbalance, weak features, and complex semantic relationships and visual scenes.Comment: Accepted to WACV 201

Designing Software Architectures As a Composition of Specializations of Knowledge Domains

This paper summarizes our experimental research and software development activities in designing robust, adaptable and reusable software architectures. Several years ago, based on our previous experiences in object-oriented software development, we made the following assumption: ‘A software architecture should be a composition of specializations of knowledge domains’. To verify this assumption we carried out three pilot projects. In addition to the application of some popular domain analysis techniques such as use cases, we identified the invariant compositional structures of the software architectures and the related knowledge domains. Knowledge domains define the boundaries of the adaptability and reusability capabilities of software systems. Next, knowledge domains were mapped to object-oriented concepts. We experienced that some aspects of knowledge could not be directly modeled in terms of object-oriented concepts. In this paper we describe our approach, the pilot projects, the experienced problems and the adopted solutions for realizing the software architectures. We conclude the paper with the lessons that we learned from this experience