Presentation | 2010-08-23 Cloud-type Teaching and Learning Environment Using Virtual Computing Laboratory Shoji KAJITA, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper describes our Academic Computing Laboratory provided as an experimental service of Tokai Academic Cloud Center. The ACL is a consortium-wide integrated environment with institutional systems like Institutional Portals, Course Management Systems and Identity Management Systems in higher educational institutions. We have been constructing ACL on top of Virtual Computing Laboratory (VCL) developd by North Carolina State University. Through ACL, we are planning to provide a cloud-type teaching and learning environment for our consortium member institutions to support various discipline-specific educational experiences. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Service Computing Infrastructure / Cloud Computing / Academic Cloud / Course Management System / Identity Management / e-Learning |
Paper # | AI2010-20 |
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Conference Information | |
Committee | AI |
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Conference Date | 2010/8/16(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Cloud-type Teaching and Learning Environment Using Virtual Computing Laboratory |
Sub Title (in English) | |
Keyword(1) | Service Computing Infrastructure |
Keyword(2) | Cloud Computing |
Keyword(3) | Academic Cloud |
Keyword(4) | Course Management System |
Keyword(5) | Identity Management |
Keyword(6) | e-Learning |
1st Author's Name | Shoji KAJITA |
1st Author's Affiliation | Strategy Office, Information and Communications Headquarters, Nagoya University:Department of Systems and Social Informatics, Graduate School of Information Science, Nagoya University() |
Date | 2010-08-23 |
Paper # | AI2010-20 |
Volume (vol) | vol.110 |
Number (no) | 172 |
Page | pp.pp.- |
#Pages | 6 |
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