999 resultados para bi-learning
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The scientific and technological development, has brought the possibility of people having access to a large volume of information, especially via the Internet. However, this information has to be filtered, due to danger of assimilating wrong and unreliable information. The so-called teaching type "e-learning" adopted by some schools, seems to have solved these problems. This paper focuses on some problems associated with the teaching system of "e-learning" and the difficulty to adapt it to certain areas of knowledge. The advantages of the courses in "bi-learning" are presented as well as some of the drawbacks associated with this type of education.
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http://digitalcommons.winthrop.edu/dacusfocus/1026/thumbnail.jpg
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This paper discusses the changes brought by the communication revolution in teaching and learning in the scope of LSP. Its aim is to provide an insight on how teaching which was bi-dimensional, turned into a multidimensional system, gathering other complementary resources that have transformed, in a incredibly short time, the ways we receive share and store information, for instance as professionals, and keep in touch with our peers. The increasing rise of electronic publications, the incredible boom of social and professional networks, search engines, blogs, list servs, forums, e-mail blasts, Facebook pages, YouTube contents, Tweets and Apps, have twisted the way information is conveyed. Classes ceased to be predictable and have been empowered by digital platforms, innumerous and different data repositories (TILDE, IATE, LINGUEE, and so many other terminological data banks) that have definitely transformed the academic world in general and tertiary education in particular. There is a bulk of information to be digested by students, who are no longer passive but instead responsible and active for their academic outcomes. The question is whether they possess the tools to select only what is accurate and important for a certain subject or assignment, due to that overflow? Due to the reduction of the number of course years in most degrees, after the implementation of Bologna and the shrinking of the curricula contents, have students the possibility of developing critical thinking? Both teaching and learning rely on digital resources to improve the speed of the spreading of knowledge. But have those changes been effective to promote really communication? Furthermore, with the increasing Apps that have already been developed and will continue to appear for learning foreign languages, for translation among others, will the students feel the need of learning them once they have those Apps. These are some the questions we would like to discuss in our paper.
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El aprendizaje independiente y las actividades promovidas por los niños son los principios de la estimulación temprana. Por ello, se aportan muchas ideas que ayudan a desarrollar un entorno donde se celebre este aprendizaje independiente y donde los niños asuman la responsabilidad de planificar y organizar sus propias actividades.
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Ofrece a los profesores, estudiantes y padres, prácticas y sugerencias para la aplicación del aprendizaje, basado en cómo está configurado el cerebro del niño en sus primeros años de vida. Se enumeran ideas sobre cómo usar técnicas de aprendizaje que incluyen las formas de promover la autoestima y la inteligencia emocional, las ideas para la enseñanza a través del juego, música y movimiento, actividades para la hora de la asamblea, asesoramiento sobre el manejo de la conducta positiva y fomento de las relaciones con padres y cuidadores. Los estudios de casos, tomados de una variedad de entornos, dan una idea de cómo las técnicas basadas en el cerebro pueden ser utilizados para enriquecer la experiencia de aprendizaje de los niños pequeños.
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Este manual trata sobre los niños que aprenden a través del juego y sobre el papel del adulto en este proceso. Tiene tres objetivos generales: ayudar a los profesionales a ser más hábiles e imaginativos cuando están involucrados en el aprendizaje lúdico; apoyar el desarrollo de contextos efectivos para el aprendizaje a través del juego; ayudar a los profesionales a tener confianza en su papel. Cada capítulo es una unidad independiente que se puede trabajar con la intención de desarrollar un aspecto particular de práctica, conocimiento o comprensión. El manual, en su conjunto, ofrece un programa para desarrollar el pensamiento y el entendimiento poniendo énfasis en la aplicación práctica y la conciencia de sí mismo.
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En este recurso para estudiantes e investigadores en psicología del desarrollo, expertos en desarrollo infantil y aprendizaje piden reconsiderar las formas de juego que facilita el desarrollo en todos los campos ya que el juego proporciona a los niños la oportunidad de maximizar sus capacidades de atención, aprender a llevarse bien con sus compañeros, cultivar su creatividad, trabajar a través de sus emociones y obtener las habilidades académicas que son la base para el aprendizaje futuro.
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To solve multi-objective problems, multiple reward signals are often scalarized into a single value and further processed using established single-objective problem solving techniques. While the field of multi-objective optimization has made many advances in applying scalarization techniques to obtain good solution trade-offs, the utility of applying these techniques in the multi-objective multi-agent learning domain has not yet been thoroughly investigated. Agents learn the value of their decisions by linearly scalarizing their reward signals at the local level, while acceptable system wide behaviour results. However, the non-linear relationship between weighting parameters of the scalarization function and the learned policy makes the discovery of system wide trade-offs time consuming. Our first contribution is a thorough analysis of well known scalarization schemes within the multi-objective multi-agent reinforcement learning setup. The analysed approaches intelligently explore the weight-space in order to find a wider range of system trade-offs. In our second contribution, we propose a novel adaptive weight algorithm which interacts with the underlying local multi-objective solvers and allows for a better coverage of the Pareto front. Our third contribution is the experimental validation of our approach by learning bi-objective policies in self-organising smart camera networks. We note that our algorithm (i) explores the objective space faster on many problem instances, (ii) obtained solutions that exhibit a larger hypervolume, while (iii) acquiring a greater spread in the objective space.
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Doutoramento em Estudos de Desenvolvimento
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This study reports on an international project in which students taking the course Contemporary Issues in Turkish Politics in spring 2011 and fall 2011 at two institutions of higher education, ‘Gettysburg College’ in the United States and ‘Izmir University of Economics’ in Turkey, worked together in virtual learning environments to complete various tasks as part of their course work. The project employed a blend of traditional and technology-based teaching methods in order to introduce a technology like Skype in a bi-national learning environment in Turkey. Students collaborated and interacted with their international counterparts in two different virtual contexts. First, classrooms in the two countries were merged via Skype three times to conduct classroom-to-classroom discussion sessions on Turkish politics. Second, students were paired across locations to work on several assignments. In this paper, our goal is to present how Skype is used in a bi-national context as a blended teaching tool in an upper-level college course for instructors pursuing a similar exercise. In addition to outlining the process with a focus on Skype discussions and one-on-one student projects, we provide actual assignments and discussion questions. Students’ views elicited through surveys administered throughout the semester are presented alongside anecdotal evidence to reflect how the project was received.
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Student voice data is a key factor as Manchester Metropolitan University strives to continually improve institutional technology enhanced learning (TEL) infrastructure. A bi-annual Institutional Student Survey enables students to communicate their experience of learning, teaching and assessment on programmes and specific units studied. Each cycle of the survey contains approximately 40–50,000 free text comments from students pertaining to what they appreciate and what they would like to see improved. A detailed thematic analysis of this data has identified 18 themes, arranged into six categories relating to the ‘Best’ aspects of courses, and 25 themes, arranged in seven categories in relation to aspects of courses considered to be ‘in need of improvement’. This student data was then used as a basis for semi-structured interviews with staff. Anecdotally, evidence suggested that student expectations and staff expectations around TEL and the virtual learning environment (VLE) differed. On-going evaluation of this work has highlighted a disconnect. In significant instances, academic colleagues seemingly misinterpret the student voice analysis and consequently struggle to respond effectively. In response to the analysis, the learning technologist's role has been to re-interpret the analysis and redevelop TEL staff development and training activities. The changes implemented have focused on: contextualising resources in VLE; making lectures more interactive; enriching the curriculum with audio–visual resources; and setting expectations around communications.
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The rapid progression of biomedical research coupled with the explosion of scientific literature has generated an exigent need for efficient and reliable systems of knowledge extraction. This dissertation contends with this challenge through a concentrated investigation of digital health, Artificial Intelligence, and specifically Machine Learning and Natural Language Processing's (NLP) potential to expedite systematic literature reviews and refine the knowledge extraction process. The surge of COVID-19 complicated the efforts of scientists, policymakers, and medical professionals in identifying pertinent articles and assessing their scientific validity. This thesis presents a substantial solution in the form of the COKE Project, an initiative that interlaces machine reading with the rigorous protocols of Evidence-Based Medicine to streamline knowledge extraction. In the framework of the COKE (“COVID-19 Knowledge Extraction framework for next-generation discovery science”) Project, this thesis aims to underscore the capacity of machine reading to create knowledge graphs from scientific texts. The project is remarkable for its innovative use of NLP techniques such as a BERT + bi-LSTM language model. This combination is employed to detect and categorize elements within medical abstracts, thereby enhancing the systematic literature review process. The COKE project's outcomes show that NLP, when used in a judiciously structured manner, can significantly reduce the time and effort required to produce medical guidelines. These findings are particularly salient during times of medical emergency, like the COVID-19 pandemic, when quick and accurate research results are critical.
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Ecological science contributes to solving a broad range of environmental problems. However, lack of ecological literacy in practice often limits application of this knowledge. In this paper, we highlight a critical but often overlooked demand on ecological literacy: to enable professionals of various careers to apply scientific knowledge when faced with environmental problems. Current university courses on ecology often fail to persuade students that ecological science provides important tools for environmental problem solving. We propose problem-based learning to improve the understanding of ecological science and its usefulness for real-world environmental issues that professionals in careers as diverse as engineering, public health, architecture, social sciences, or management will address. Courses should set clear learning objectives for cognitive skills they expect students to acquire. Thus, professionals in different fields will be enabled to improve environmental decision-making processes and to participate effectively in multidisciplinary work groups charged with tackling environmental issues.
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This paper discusses theoretical results of the research project Linguistic Identity and Identification: A Study of Functions of Second Language in Enunciating Subject Constitution. Non-cognitive factors that have a crucial incidence in the degree of success and ways of accomplishment of second language acquisition process are focused. A transdisciplinary perspective is adopted, mobilising categories from Discourse Analysis and Psychoanalysis. The most relevant ones are: discursive formation, intradiscourse, interdiscourse, forgetting n° 1, forgetting n° 2 (Pêcheux, 1982), identity, identification (Freud, 1966; Lacan, 1977; Nasio, 1995). Revuz s views (1991) are discussed. Her main claim is that during the process of learning a foreign language, the foundations of psychical structure, and consequently first language, are required. After examining how nomination and predication processes work in first and second languages, components of identity and identification processes are focused on, in an attempt to show how second language acquisition strategies depend on them. It is stated that methodological affairs of language teaching, learner s explicit motivation and the like are subordinated to the comprehension of deeper non-cognitive factors that determine the accomplishment of the second language acquisition process. It is also pointed out that those factors are to be approached, questioning the bipolar biological-social conception of subjectivity in the study of language acquisition and use and including in the analysis symbolic and significant dimensions of the discourse constitution process.