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Build grid-enabled large-scale collaboration environment in e-Learning grid
Affiliation:1. Department of Cardiology of the Second Affiliated Hospital, Shantou University Medical College, Shantou, Guangdong Province, People’s Republic of China;2. Laboratory of Cell Senescence, Shantou University Medical College, Shantou, Guangdong Province, People’s Republic of China;1. Department of Dentistry, Federal University of Rio Grande do Norte, Natal, RN, Brazil;2. Dental School, University of Pernambuco, Camaragibe, PE, Brazil;3. Department of Physics, Universidade Federal de Pernambuco, Recife, PE, Brazil;1. Department of Computer Engineering, Bilkent University, 06800 Ankara, Turkey;2. Department of Computer Engineering, Hacettepe University, 06800 Ankara, Turkey;1. Department of Physics, Karnatak University, Dharwad 580003, India;2. Health Physics Section, Kaiga Atomic Power Station-3&4, NPCIL, Karwar 581400, India;3. Experimental Nuclear Physics Dept., Nuclear Research Centre, P.O. 13759, Cairo, Egypt;4. Institute of High Energy Physics, CAS, Beijing 100049, China
Abstract:As a new branch of grid computing, e-Learning grid is emerging as a nationwide e-Learning infrastructure, which can provide innovative learning experience for learners. In such a grid environment, collaboration services will be the key elements due to the pervasive requirement for cooperative work and collaborative learning. Although there exist enormous research efforts on grid-based collaboration technologies, most of them have many limitations. In this paper, with the findings from the computer support cooperative work (CSCW)/computer support collaborative learning (CSCL) and advantages provided by grid, we propose to build grid-enabled large-scale collaboration environment (GLCE). GLCE focuses on distributed, large-scale, and cross-organizational collaboration through creating group-centered next generation collaboration environment, where both intra-group and inter-group collaboration could be supported. With this idea in mind, we present a grid-based cooperative work framework (GCWF), which aims to implement GLCE with an “upper layer” collaboration middleware based on the special-purpose grid infrastructure designed by our team. The preliminary results of our research on GLCE have been applied to build the learning assessment grid (LAGrid). The goal of LAGrid is to support the formative assessment business in China Radio and TV University (CRTVU) and large-scale collaboration within virtual organization (VO) has been realized.
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