686 resultados para Reflection in higher education
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The change of paradigm imposed by the Bologna process, in which the student will be responsible for their own learning, and the presence of a new generation of students with higher technological skills, represent a huge challenge for higher education institutions. The use of new Web Social concepts in teaching process, supported by applications commonly called Web 2.0, with which these new students feel at ease, can bring benefits in terms of motivation and the frequency and quality of students' involvement in academic activities. An e-learning platform with web-based applications as a complement can significantly contribute to the development of different skills in higher education students, covering areas which are usually in deficit.
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Journal of Cleaner Production, nº 16, p. 639-645
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This chapter appears in Encyclopaedia of Distance Learning 2nd Edition edit by Rogers, P.; Berg, Gary; Boettecher, Judith V.; Howard, Caroline; Justice, Lorraine; Schenk, Karen D.. Copyright 2009, IGI Global, www.igi-global.com. Posted by permission of the publisher. URL: http://www.igi-global.com/reference/ details.asp?ID=9703&v=tableOfContents
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Identity achievement is related to personality, as well as cognitive and interpersonal development. In tandem with the deep structural changes that have taken place in society, education must also shift towards a teaching approach focused on learning and the overall development of the student. The integration of technology may be the drive to foster the needed changes. We draw on the literature of multiple subject areas as basis for our work, namely: identity construction and self-representation, within a psychological and social standpoint; Higher Education (HE) in Portugal after Bologna, college student development and other intrinsic relationships, namely the role of emotions and interpersonal relationships in the learning process; the technological evolution of storytelling towards Digital Storytelling (DS) – the Californian model – and its connections to identity and education. Ultimately we propose DS as the aggregator capable of humanizing HE while developing essential skills and competences. Grounded on an interpretative/constructivist paradigm, we implemented a qualitative case study to explore DS in HE. In three attempts to collect student data, we gathered detailed observation notes from two Story Circles; twelve student written reflections; fourteen Digital Stories and detailed observation notes from one Story Show. We carried out three focus groups with teachers where we discussed their perceptions of each student prior to and after watching the Digital Stories, in addition to their opinion on DS in HE as a teaching and learning method and its influence on interpersonal relationships. We sought understandings of the integration of DS to analyze student selfperception and self-representation in HE contexts and intersected our findings with teachers’ perceptions of their students. We compared teachers’ and students’ perspectives, through the analysis of data collected throughout the DS process – Story Circle, Story Creation and Story Show – and triangulated that information with the students’ personal reflections and teacher perceptions. Finally we questioned if and how DS may influence teachers’ perceptions of students. We found participants to be the ultimate gatekeepers in our study. Very few students and teachers voluntarily came forth to take part in the study, confirming the challenge remains in getting participants to see the value and understand the academic rigor of DS. Despite this reluctance, DS proved to be an asset for teachers and students directly and indirectly involved in the study. DS challenges HE contexts, namely teacher established perception of students; student’s own expectations regarding learning in HE; the emotional realm, the private vs. public dichotomy and the shift in educational roles.
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The usage of information and communication technologies has been growing among students and teachers. In order to improve the use of the Internet as a tool to support teaching and learning it is necessary to understand the Internet usage habits of students. Thus, a study was conducted with 1397 students from five schools of the Polytechnic of Porto. The data was collected through an online questionnaire abd was analized by age range, gender and scientific field. In this paper,gender differences are analyzed and presented in 3 dimensions: type of Internet usage, communication tools and the role of the Internet tools in education.
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The Internet plays an important role in higher education institutions where Learning Management Systems (LMS) occupies a main role in the eLearning realm. In this chapter we aim to characterize the Internet and LMS usage patterns and their role in the largest Portuguese Polytechnic Institute. The usage patterns were analyzed in two components: characterization of Internet usage and the role of Internet and LMS in education. Using a quantitative approach, the data analysis describes the differences between gender, age and scientific fields. The carried qualitative analysis allows a better understanding of students’ both motivations, opinions and suggestions of improvement. The outcome of this work is the presentation of the Portuguese students’ profile regarding Internet and LMS usage patterns. We expect that these results can be used to select the most suitable digital pedagogical processes and tools to be adopted regarding the learning process and most adequate LMS’s policies.
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The increasing use of information and communication technologies (ICT) in diverse professional and personal contexts calls for new knowledge, and a set of abilities, competences and attitudes, for an active and participative citizenship. In this context it is acknowledged that universities have an important role innovating in the educational use of digital media to promote an inclusive digital literacy. The educational potential of digital technologies and resources has been recognized by both researchers and practitioners. Multiple pedagogical models and research approaches have already contributed to put in evidence the importance of adapting instructional and learning practices and processes to concrete contexts and educational goals. Still, academic and scientific communities believe further investments in ICT research is needed in higher education. This study focuses on educational models that may contribute to support digital technology uses, where these can have cognitive and educational relevance when compared to analogical technologies. A teaching and learning model, centered in the active role of the students in the exploration, production, presentation and discussion of interactive multimedia materials, was developed and applied using the internet and exploring emergent semantic hypermedia formats. The research approach focused on the definition of design principles for developing class activities that were applied in three different iterations in undergraduate courses from two institutions, namely the University of Texas at Austin, USA and the University of Lisbon, Portugal. The analysis of this study made possible to evaluate the potential and efficacy of the model proposed and the authoring tool chosen in the support of metacognitive skills and attitudes related to information structuring and management, storytelling and communication, using computers and the internet.
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This paper analyses the determinants of success of undergraduate Nova SBE students from 2008 to 2011. We account for the question of selection that is likely to occur when we just observe the success of those students who were admitted and enrolled at school. The main result of our empirical analysis is that the high school score appears to be a stronger predictor of the students´ success than the national Math’s exam score. In addition, the evidence also suggests that male students tend to have a better performance in Economics than female students and displaced management students have more difficulties in terms of their scores. Finally, it does not seem to exist a strong visible difference on the final GPA between students from public and private schools.
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This document is also available in the Publications Section of the DHSS website at:www.dhssni.gov.uk åÊ åÊ
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The Government’s Framework for Sustainable Economic Renewal- Building Ireland’s Smart Economy, launched by the Taoiseach in late 2008, establishes Ireland’s ambition to become internationally renowned as an Innovation Island. At the core of achieving this ambition will be our capacity for producing highly skilled graduates and fostering a climate of creative thinking and advanced research and development. This relies on the quality of undergraduate provision right across the sciences, arts and humanities in our third level institutions. The development of a new national strategy for higher education is now underway. The strategy will aim to identify a vision and objectives for the development of the sector over the next twenty years. Leading higher education systems internationally are characterised by wide revenue sources that, in many cases, include a form of direct student contribution through a tuition fee or student loans system. If Ireland’s higher education system is to develop and meet future demands in an environment of increasingly tight public resources, then it is appropriate that the sector’s level of dependence on Exchequer funding should come under review.
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The rationale for this review centres solely on the need to broaden access to third-level education in order to improve equity and social justice. It is founded on the Government’s social and economic policy objective of reducing and eliminating educational disadvantage, and increasing participation at third level by lower socio-economic groups. The Agreed Programme for Government of June 2002 commits the Government to building a caring and inclusive society and to achieving real and sustained social progress. Similar commitments are reflected in the National Development Plan, the National Anti-Poverty Strategy, the National Children’s Strategy and successive national partnership agreements, including Sustaining Progress. Tackling educational disadvantage is a core principle of social justice. The issues of educational disadvantage and social inclusion, therefore, are key priorities for the Government and, since taking up office, the Minister for Education and Science has emphasised his commitment to improving participation and achievement at every level of education. The need for interventions throughout the education system is well recognised. It is well established that addressing educational disadvantage requires intervention in the context of a continuum of provision from early childhood through to adulthood. Successive governments, of all political persuasions, have recognised this fact and have introduced a range of initiatives at pre-primary, primary and post-primary levels aimed at increasing pupil retention and achievement. These initiatives are currently being reviewed in order to ensure that individuals are enabled to obtain the appropriate supports they require to maximise the benefit they derive from the education system.
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Teaching and research are organised differently between subject domains: attempts to construct typologies of higher education institutions, however, often do not include quantitative indicators concerning subject mix which would allow systematic comparisons of large numbers of higher education institutions among different countries, as the availability of data for such indicators is limited. In this paper, we present an exploratory approach for the construction of such indicators. The database constructed in the AQUAMETH project, which includes also data disaggregated at the disciplinary level, is explored with the aim of understanding patterns of subject mix. For six European countries, an exploratory and descriptive analysis of staff composition divided in four large domains (medical sciences, engineering and technology, natural sciences and social sciences and humanities) is performed, which leads to a classification distinguishing between specialist and generalist institutions. Among the latter, a further distinction is made based on the presence or absence of a medical department. Preliminary exploration of this classification and its comparison with other indicators show the influence of long term dynamics on the subject mix of individual higher education institutions, but also underline disciplinary differences, for example regarding student to staff ratios, as well as national patterns, for example regarding the number of PhD degrees per 100 undergraduate students. Despite its many limitations, this exploratory approach allows defining a classification of higher education institutions that accounts for a large share of differences between the analysed higher education institutions.