60,470 research outputs found

    Models of technology and change in higher education: an international comparative survey on the current and future use of ICT in higher education

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    The aim of this study is to investigate which scenarios are emerging with respect to the use of ICT in higher education and how future developments can be predicted and strategic choices can be based on that. It seeks to answer the following questions:\ud What strategic responses do institutions make with respect to the use of ICT; Which external conditions and developments influence these choices; Which external and internal conditions and measures are taken in order to achievestrategic targets; What are the implications for technology use, teaching and learning processes and staff? \ud The study applies an international comparative methodology and is carried out in the Netherlands, Germany, Norway, the United Kingdom, Australia, Finland and the USA. Data were collected through Web-based questionnaires tailored to three different response groups: decision makers, support staff and instructors. In total 693 persons responded to the questionnaire. This implies that between 20 and 50 percent of the institutions in the various countries responded (institutional data were also gathered), with the exception of the USA where the response was much lower

    WWW.raising achievement: internet research resources on raising achievement in post-compulsory education; the agency comments

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    This report is designed to help practitioners and researchers find and use internet-based resources that deal with raising achievement. It contains a guide to useful research sources and organisations accessible via the internet; an introductory synthesis of research findings drawn from the Educational Resources Information Center (ERIC) and suggestions for applying American research findings to raising achievement in the UK

    Teacher competence development – a European perspective

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    This chapter provides an European perspectives on teacher competence development

    Community-based mentoring and innovating through Web 2.0

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    The rise of social software, often termed Web 2.0, has resulted in heightened awareness of the opportunities for creative and innovative approaches to learning that are afforded by network technologies. Social software platforms and social networking technologies have become part of the learning landscape both for those who learn formally within institutions, and for those who learn informally via emergent web-based learning communities. As collaborative online learning becomes a reality, new skills in communication and collaboration are required in order to use new technologies effectively, develop real digital literacy and other 21st century skills

    A systematic review of the factors - enablers and barriers - affecting e-learning in health sciences education

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    Background: Recently, much attention has been given to e-learning in higher education as it provides better access to learning resources online, utilising technology – regardless of learners’ geographical locations and timescale – to enhance learning. It has now become part of the mainstream in education in the health sciences, including medical, dental, public health, nursing, and other allied health professionals. Despite growing evidence claiming that e-learning is as effective as traditional means of learning, there is very limited evidence available about what works, and when and how e-learning enhances teaching and learning. This systematic review aimed to identify and synthesise the factors – enablers and barriers – affecting e-learning in health sciences education (el-HSE) that have been reported in the medical literature. Methods: A systemic review of articles published on e-learning in health sciences education (el-HSE) was performed in MEDLINE, EMBASE, Allied & Complementary Medicine, DH-DATA, PsycINFO, CINAHL, and Global Health, from 1980 through 2019, using ‘Textword’ and ‘Thesaurus’ search terms. All original articles fulfilling the following criteria were included: (1) e-learning was implemented in health sciences education, and (2) the investigation of the factors – enablers and barriers – about el-HSE related to learning performance or outcomes. Following the PRISMA guidelines, both relevant published and unpublished papers were searched. Data were extracted and quality appraised using QualSyst tools, and synthesised performing thematic analysis. Results: Out of 985 records identified, a total of 162 citations were screened, of which 57 were found to be of relevance to this study. The primary evidence base comprises 24 papers, with two broad categories identified, enablers and barriers, under eight separate themes: facilitate learning; learning in practice; systematic approach to learning; integration of e-learning into curricula; poor motivation and expectation; resource-intensive; not suitable for all disciplines or contents, and lack of IT skills. Conclusions: This study has identified the factors which impact on e-learning: interaction and collaboration between learners and facilitators; considering learners’ motivation and expectations; utilising user-friendly technology; and putting learners at the centre of pedagogy. There is significant scope for better understanding of the issues related to enablers and facilitators associated with e-learning, and developing appropriate policies and initiatives to establish when, how and where they fit best, creating a broader framework for making e-learning effective

    Harnessing Technology: preliminary identification of trends affecting the use of technology for learning

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    Promoting physical activity among university students: a systematic review of controlled trials

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    Objective: University study is often accompanied by a decline in physical activity (PA) levels but can offer the opportunity to promote a lifelong active lifestyle. This review aims to summarize controlled trials of interventions promoting PA among uni- versity students, describing the quality of the evidence, effective strategies, and deficiencies in the interventions employed, to provide directions for future research and for practical implementations. Data Source: PubMed, PsychINFO, Cochrane Library, Education Source, and SPORTDiscus. Study Inclusion Criteria: Randomized or nonrandomized controlled trial, describing an intervention to promote PA in uni- versity students, where PA was one of the outcomes and results were published in English. Data Extraction: Country, study design, participants\u2019 inclusion criteria, participation rate and characteristics, randomization, blinding, theoretical framework, intervention characteristics, participant retention rate and withdrawal reasons, measures employed, data analysis, PA results, and findings regarding PA correlates. Data Synthesis: Data were synthetized considering study characteristics, strategies used, and outcomes. Results: Two thousand five hundred eighty-five articles were identified. Twenty-seven studies met the inclusion criteria. Sixteen studies reported an increase in PA levels. Conclusion: Physical Activity promotion interventions should address a range of behavioral determinants. Personalized approaches and PA sessions should be considered in future studies. The high risk of bias of many studies (mainly due to attrition and poor reporting) and missing information about intervention components limit the strength of conclusions about the most effective strategies and the evidence of effectiveness, highlighting the need for further high-quality studies

    Developing lifelong learners: A novel online problem‐based ultrasonography subject

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    Online learning environments have a major role in providing lifelong learning opportunities. Lifelong learning is critical for successful participation in today's competitive work environment. This paper describes an online problem‐based learning approach to the creation of a student‐centred learning environment for the study of the biological sciences subject in the Graduate Diploma of Applied Science (Medical Ultrasonography) course at the University of Sydney. The environment is interactive and collaborative, with all communication taking place online. Students work in groups to study clinically relevant problems. A Web‐database system provides learner control in the process of knowledge acquisition, access to reference materials on the Internet and communication with the tutor and with peers through synchronous chat and asynchronous threaded discussion forums. Other online features include a protocol for problem‐solving, self‐assessment and feedback opportunities, detailed help, streaming audio and video and pre‐course, ongoing and post‐course questionnaires. This technology may be adapted to a range of disciplines and can also be utilized in on‐campus teaching
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