40,413 research outputs found

    Wikis supporting authentic, collaborative activities: lessons in usability

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    The Open University delivers distance learning to its students. Traditionally, its students work independently of each other. Looking to enhance their students learning, two postgraduate courses have introduced authentic, collaborative activities. This is easier to achieve now because of the availability of wikis: a lightweight, web-based collaborative authoring environment. This paper examines the effect of the wikis’ functionality on the students’ use of the tool, and the consequences for the students’ engagement with the activities and learning opportunities. This is a relatively large scale study involving 56 wikis produced by over 250 students. The data was drawn from the two courses using a variety of methods. A qualitative inductive analysis was used to look for emergent themes. These were validated by cross referencing, to match recorded comments with wiki content. We found that the limited functionality of wikis influenced how students engaged with the collaborative activities. While all groups were able to collaboratively author the documents required for assessment, they were not always produced in the way intended by the course teams. This meant the expected benefits of collaborative learning were not always realised. This paper will be of interest to academics aspiring to employ wikis on their courses and to practitioners who wish to realise the potential of wikis in facilitating information sharing and fostering collaboration within teams

    An internet of laboratory things

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    By creating “an Internet of Laboratory Things” we have built a blend of real and virtual laboratory spaces that enables students to gain practical skills necessary for their professional science and engineering careers. All our students are distance learners. This provides them by default with the proving ground needed to develop their skills in remotely operating equipment, and collaborating with peers despite not being co-located. Our laboratories accommodate state of the art research grade equipment, as well as large-class sets of off-the-shelf work stations and bespoke teaching apparatus. Distance to the student is no object and the facilities are open all hours. This approach is essential for STEM qualifications requiring development of practical skills, with higher efficiency and greater accessibility than achievable in a solely residential programme

    BIBS: A Lecture Webcasting System

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    The Berkeley Internet Broadcasting System (BIBS) is a lecture webcasting system developed and operated by the Berkeley Multimedia Research Center. The system offers live remote viewing and on-demand replay of course lectures using streaming audio and video over the Internet. During the Fall 2000 semester 14 classes were webcast, including several large lower division classes, with a total enrollment of over 4,000 students. Lectures were played over 15,000 times per month during the semester. The primary use of the webcasts is to study for examinations. Students report they watch BIBS lectures because they did not understand material presented in lecture, because they wanted to review what the instructor said about selected topics, because they missed a lecture, and/or because they had difficulty understanding the speaker (e.g., non-native English speakers). Analysis of various survey data suggests that more than 50% of the students enrolled in some large classes view lectures and that as many as 75% of the lectures are played by members of the Berkeley community. Faculty attitudes vary about the virtues of lecture webcasting. Some question the use of this technology while others believe it is a valuable aid to education. Further study is required to accurately assess the pedagogical impact that lecture webcasts have on student learning

    Research and Education in Computational Science and Engineering

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    Over the past two decades the field of computational science and engineering (CSE) has penetrated both basic and applied research in academia, industry, and laboratories to advance discovery, optimize systems, support decision-makers, and educate the scientific and engineering workforce. Informed by centuries of theory and experiment, CSE performs computational experiments to answer questions that neither theory nor experiment alone is equipped to answer. CSE provides scientists and engineers of all persuasions with algorithmic inventions and software systems that transcend disciplines and scales. Carried on a wave of digital technology, CSE brings the power of parallelism to bear on troves of data. Mathematics-based advanced computing has become a prevalent means of discovery and innovation in essentially all areas of science, engineering, technology, and society; and the CSE community is at the core of this transformation. However, a combination of disruptive developments---including the architectural complexity of extreme-scale computing, the data revolution that engulfs the planet, and the specialization required to follow the applications to new frontiers---is redefining the scope and reach of the CSE endeavor. This report describes the rapid expansion of CSE and the challenges to sustaining its bold advances. The report also presents strategies and directions for CSE research and education for the next decade.Comment: Major revision, to appear in SIAM Revie
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