876 resultados para New student


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Mode of access: Internet.

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The practical significance of critical theory, and student action leading to the hope of a new education, and a new politics.

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There is much talk of =the crisis‘ in higher education, often expressed in fatalistic narratives about the (im)possibility of critical resistance or alternatives to the deepening domination of neoliberal rationality and capitalist power throughout social life. But how precisely are we to make sense of this situation? In what ways is it experienced? And what knowledges and practices may help us to respond? These questions form the basis for a series of explorations of the history and character of this crisis, the particular historical conjuncture that we occupy today, and the different types of theoretical analysis and political response it seems to be engendering. Our talk will explore the tensions between readings of the situation as a paralyzing experience of domination, loss and impossibility, on the one hand, and radical transformation and the opening of future possibilities, on the other. We will finally consider what implications new forms of political theory being created in the new student movements have for reconceptualising praxis in higher education today, and perhaps for a wider imagination of post-capitalist politics.

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The purpose of this study was to (a) develop an evaluation instrument capable of rating students' perceptions of the instructional quality of an online course and the instructor’s performance, and (b) validate the proposed instrument with a study conducted at a major public university. The instrument was based upon the Seven Principles of Good Practice for Undergraduate Education (Chickering & Gamson, 1987). The study examined four specific questions. 1. Is the underlying factor structure of the new instrument consistent with Chickering and Gamson's Seven Principles? 2. Is the factor structure of the new instrument invariant for male and female students? 3. Are the scores on the new instrument related students’ expected grades? 4. Are the scores on the new instrument related to the students' perceived course workload? ^ The instrument was designed to measure students’ levels of satisfaction with their instruction, and also gathered information concerning the students’ sex, the expected grade in the course, and the students’ perceptions of the amount of work required by the course. A cluster sample consisting of an array of online courses across the disciplines yielded a total 297 students who responded to the online survey. The students for each course selected were asked to rate their instructors with the newly developed instrument. ^ Question 1 was answered using exploratory factor analysis, and yielded a factor structure similar to the Seven Principles.^ Question 2 was answered by separately factor-analyzing the responses of male and female students and comparing the factor structures. The resulting factor structures for men and women were different. However, 14 items could be realigned under five factors that paralleled some of the Seven Principles. When the scores of only those 14 items were entered in two principal components factor analyses using only men and only women, respectively and restricting the factor structure to five factors, the factor structures were the same for men and women.^ A weak positive relationship between students’ expected grades and their scores on the instrument was found (Question 3). There was no relationship between students’ perceived workloads for the course and their scores on the instrument (Question 4).^

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The aim was to explore the relationship between sources of stress and a range of coping behaviours on student
satisfaction and motivation. Most research exploring sources of stress construes stress as distress, with little
attempt to consider positive, good stress or ‘eustress’ experiences. A cohort of first-year psychology students (N=88)
were surveyed on a range of stressors. These were amended from the UK National Student Survey (NSS, 2011).
Published university league tables draw heavily on student course satisfaction but study results suggest there was
also merit in measuring students’ intellectual motivation and the extent to which they felt part of a learning
community. Using multiple regression analyses, it was found that even the attributes that normally help one to adjust to change, such as self-efficacy, do little to help the new student adjust to university life, such was the acuteness of perceived stress in the first year. Social opportunities within the university were important to help new students integrate into university life and to help them network and build support. Educators need to consider how course experiences contribute, not just to potential distress but to potential eustress.

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Research has established a close relationship between learning environments and learning outcomes (Department of Education and Early Childhood Development, Victoria, 2008; Woolner, Hall, Higgins, McCaughey & Wall, 2007) yet little is known about how students in Australian schools imagine the ways that their learning environments could be improved to enhance their engagement with the processes and content of education and children are rarely consulted on the issue of school design (Rudduck & Flutter, 2004). Currently, school and classroom designers give attention to operational matters of efficiency and economy, so that architecture for children’s education is largely conceived in terms of adult and professional needs (Halpin, 2007). This results in the construction of educational spaces that impose traditional teaching and learning methods, reducing the possibilities of imaginative pedagogical relationships. Education authorities may encourage new, student-centred pedagogical styles, such as collaborative learning, team-teaching and peer tutoring, but the spaces where such innovations are occurring do not always provide the features necessary to implement these styles. Heeding the views of children could result in the creation of spaces where more imaginative pedagogical relationships and student-centred pedagogical styles can be implemented. In this article, a research project conducted with children in nine Queensland primary schools to investigate their ideas of the ideal ‘school’ is discussed. Overwhelmingly, the students’ work emphasised that learning should be fun and that learning environments should be eco-friendly places where their imaginations can be engaged and where they learn from and in touch with reality. The children’s imagined schools echo ideas that have been promoted over many decades by progressive educators such as John Dewey (1897, in Provenzo, 2006) (“experiential learning”), AS Neill (in Cassebaum, 2003) (Summerhill school) and Ivan Illich (1970) (“deschooling”), with a vast majority of students suggesting that, wherever possible, learning should take place away from classrooms and in environments that support direct, hands-on learning.

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The cycle of the academic year impacts on efforts to refine and improve major group design-build-test (DBT) projects since the time to run and evaluate projects is generally a full calendar year. By definition these major projects have a high degree of complexity since they act as the vehicle for the application of a range of technical knowledge and skills. There is also often an extensive list of desired learning outcomes which extends to include professional skills and attributes such as communication and team working. It is contended that student project definition and operation, like any other designed product, requires a number of iterations to achieve optimisation. The problem however is that if this cycle takes four or more years then by the time a project’s operational structure is fine tuned it is quite possible that the project theme is no longer relevant. The majority of the students will also inevitably experience a sub-optimal project experience over the 5 year development period. It would be much better if the ratio were flipped so that in 1 year an optimised project definition could be achieved which had sufficient longevity that it could run in the same efficient manner for 4 further years. An increased number of parallel investigators would also enable more varied and adventurous project concepts to be examined than a single institution could undertake alone in the same time frame.
This work-in-progress paper describes a parallel processing methodology for the accelerated definition of new student DBT project concepts. This methodology has been devised and implemented by a number of CDIO partner institutions in the UK & Ireland region. An agreed project theme was operated in parallel in one academic year with the objective of replacing a multi-year iterative cycle. Additionally the close collaboration and peer learning derived from the interaction between the coordinating academics facilitated the development of faculty teaching skills in line with CDIO standard 10.

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Harrison Hall holds the new Student Health Centre and Athletic Therapy Clinic. The centre provides the University's Health Services Department with a greater amount of space for students and staff, and the building is designed to make treatment more comfortable and efficient. The centre includes four examination rooms as part of the increased space. It is named after Bernard Harrison, a former Brock physics demonstrator who has donated over $1 million to the University.

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The complex was comprised of the new Student/Community Health and Fitness Centre and the state-of-the-art health club called The Zone, in addition to encompassing the existing physical education facilities. Among the new facilities was a 23 000-square-foot gymnasium, which boasted four basketball courts and a 200-meter, three-lane elevated track. The building was named after Walker Industries Holdings, a Thorold firm that was the key donor to the project.

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Data mining is one of the hottest research areas nowadays as it has got wide variety of applications in common man’s life to make the world a better place to live. It is all about finding interesting hidden patterns in a huge history data base. As an example, from a sales data base, one can find an interesting pattern like “people who buy magazines tend to buy news papers also” using data mining. Now in the sales point of view the advantage is that one can place these things together in the shop to increase sales. In this research work, data mining is effectively applied to a domain called placement chance prediction, since taking wise career decision is so crucial for anybody for sure. In India technical manpower analysis is carried out by an organization named National Technical Manpower Information System (NTMIS), established in 1983-84 by India's Ministry of Education & Culture. The NTMIS comprises of a lead centre in the IAMR, New Delhi, and 21 nodal centres located at different parts of the country. The Kerala State Nodal Centre is located at Cochin University of Science and Technology. In Nodal Centre, they collect placement information by sending postal questionnaire to passed out students on a regular basis. From this raw data available in the nodal centre, a history data base was prepared. Each record in this data base includes entrance rank ranges, reservation, Sector, Sex, and a particular engineering. From each such combination of attributes from the history data base of student records, corresponding placement chances is computed and stored in the history data base. From this data, various popular data mining models are built and tested. These models can be used to predict the most suitable branch for a particular new student with one of the above combination of criteria. Also a detailed performance comparison of the various data mining models is done.This research work proposes to use a combination of data mining models namely a hybrid stacking ensemble for better predictions. A strategy to predict the overall absorption rate for various branches as well as the time it takes for all the students of a particular branch to get placed etc are also proposed. Finally, this research work puts forward a new data mining algorithm namely C 4.5 * stat for numeric data sets which has been proved to have competent accuracy over standard benchmarking data sets called UCI data sets. It also proposes an optimization strategy called parameter tuning to improve the standard C 4.5 algorithm. As a summary this research work passes through all four dimensions for a typical data mining research work, namely application to a domain, development of classifier models, optimization and ensemble methods.

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The arrival of a student who is Blind in the School of Systems Engineering at the University of Reading has made it an interesting and challenging year for all. Visually impaired students have already graduated from other Schools of the University and the School of Systems Engineering has seen three students with visual impairment graduate recently with good degrees. These students could access materials - and do assessments - essentially by means of enlargement and judicious choice of options. The new student had previously been supported by a specialist college. She is a proficient typist and also a user of both Braille and JAWS screen reader, and she is doing a joint course in Cybernetics and Computer Science. The course requires mathematics which itself includes graphs, and also many diagrams including numerous circuit diagrams. The University bought proven equipment such as a scanner to process books into speech or Braille, and screen reading software as well as a specialist machine for producing tactile diagrams for educational use. Clearly it is also important that the student can access assessments and examinations and present answers for marking or feedback (by sighted staff). So the School also used innovative in-house tactile methods to represent diagrams. This paper discusses the success or otherwise of various modifications of course delivery and the way forward for the next three years.

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Este trabalho minera as informações coletadas no processo de vestibular entre 2009 e 2012 para o curso de graduação de administração de empresas da FGV-EAESP, para estimar classificadores capazes de calcular a probabilidade de um novo aluno ter bom desempenho. O processo de KDD (Knowledge Discovery in Database) desenvolvido por Fayyad et al. (1996a) é a base da metodologia adotada e os classificadores serão estimados utilizando duas ferramentas matemáticas. A primeira é a regressão logística, muito usada por instituições financeiras para avaliar se um cliente será capaz de honrar com seus pagamentos e a segunda é a rede Bayesiana, proveniente do campo de inteligência artificial. Este estudo mostre que os dois modelos possuem o mesmo poder discriminatório, gerando resultados semelhantes. Além disso, as informações que influenciam a probabilidade de o aluno ter bom desempenho são a sua idade no ano de ingresso, a quantidade de vezes que ele prestou vestibular da FGV/EAESP antes de ser aprovado, a região do Brasil de onde é proveniente e as notas das provas de matemática fase 01 e fase 02, inglês, ciências humanas e redação. Aparentemente o grau de formação dos pais e o grau de decisão do aluno em estudar na FGV/EAESP não influenciam nessa probabilidade.

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Pós-graduação em Educação - IBRC

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A presente dissertação objetiva analisar os desafios e contribuições da noção ‘criação de conceitos’ no pensamento de Gilles Deleuze para o ensino da filosofia. Apresentamos o ensino de filosofia no Brasil como um problema histórico e político, partindo dos pressupostos de que a instabilidade de inclusão e exclusão desse ensino foi o resultado dos interesses da ordem social vigente. Com a recente inserção da filosofia nos currículos de ensino das escolas de educação básica essa discussão passou a ser preocupação da comunidade filosófica, pelo fato de saber em que sentido o ensino da filosofia pode ser considerado o elemento da diferença na educação. Nesse sentido, procuramos mostrar outra via de conceber o ensino da filosofia, que é a proposta da filosofia como criação de conceitos da filosofia deleuzeana construindo um diálogo com o ensino da filosofia. Observamos que é um grande desafio para os professores de filosofia, construir a experiência da criação de conceitos em sala de aula, isso significa fazer do horizonte da repetição um ato de criação. No entanto, acreditamos que esse desafio nos permite pensar os problemas do momento atual e fazer dele a realização de algo novo para a educação e ao ensino da filosofia. Pensar o ensino da filosofia como criação de conceitos é fazer dos conteúdos, currículo e didática movimento de construção e desconstrução e, somente nessa direção podemos construir um novo aluno, uma nova aula, um novo professor e, por conseguinte, uma nova educação.