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An Open and Scalable Learning Infrastructure for Food Safety

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Title: An Open and Scalable Learning Infrastructure for Food Safety
Language: English
Authors: Manouselis, Nikos, Thanopoulos, Charalampos, Vignare, Karen, Geith, Christine
Source: Journal of Asynchronous Learning Networks. Jul 2013 17(2):119-132.
Availability: Sloan Consortium. P.O. Box 1238, Newburyport, MA 01950. e-mail: publisher@sloanconsortium.org; Web site: http://sloanconsortium.org/publications/jaln_main
Peer Reviewed: Y
Page Count: 14
Publication Date: 2013
Document Type: Journal Articles
Reports - Descriptive
Education Level: Higher Education
Postsecondary Education
Descriptors: Food Standards, Safety, Agricultural Education, Knowledge Management, Educational Resources, Open Source Technology, Electronic Learning, Computer System Design, Usability, Information Sources, Information Processing, Program Descriptions
Geographic Terms: Michigan
ISSN: 1939-5256
Abstract: In the last several years, a variety of approaches and tools have been developed for giving access to open educational resources (OER) related to food safety, security, and food standards, as well to various targeted audiences (e.g., farmers, agronomists). The aim of this paper is to present a technology infrastructure currently in demonstration mode at Michigan State University that will collect various agricultural education content (training descriptions, open educational content, competencies, and standards) and provide them through various interfaces, based on the needs of the targeted audience. The overall architecture of the infrastructure for the food safety sector and the needed components are presented, as well as the main usage scenarios that explain how the infrastructure can enhance existing platforms and services in the area of food safety and food security.
Abstractor: As Provided
Number of References: 39
Entry Date: 2014
Accession Number: EJ1018302
Database: ERIC
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  Data: An Open and Scalable Learning Infrastructure for Food Safety
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  Data: English
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  Data: <searchLink fieldCode="AR" term="%22Manouselis%2C+Nikos%22">Manouselis, Nikos</searchLink><br /><searchLink fieldCode="AR" term="%22Thanopoulos%2C+Charalampos%22">Thanopoulos, Charalampos</searchLink><br /><searchLink fieldCode="AR" term="%22Vignare%2C+Karen%22">Vignare, Karen</searchLink><br /><searchLink fieldCode="AR" term="%22Geith%2C+Christine%22">Geith, Christine</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22Journal+of+Asynchronous+Learning+Networks%22"><i>Journal of Asynchronous Learning Networks</i></searchLink>. Jul 2013 17(2):119-132.
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  Data: Sloan Consortium. P.O. Box 1238, Newburyport, MA 01950. e-mail: publisher@sloanconsortium.org; Web site: http://sloanconsortium.org/publications/jaln_main
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  Data: 14
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  Data: 2013
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  Data: <searchLink fieldCode="DE" term="%22Food+Standards%22">Food Standards</searchLink><br /><searchLink fieldCode="DE" term="%22Safety%22">Safety</searchLink><br /><searchLink fieldCode="DE" term="%22Agricultural+Education%22">Agricultural Education</searchLink><br /><searchLink fieldCode="DE" term="%22Knowledge+Management%22">Knowledge Management</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Resources%22">Educational Resources</searchLink><br /><searchLink fieldCode="DE" term="%22Open+Source+Technology%22">Open Source Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+Learning%22">Electronic Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+System+Design%22">Computer System Design</searchLink><br /><searchLink fieldCode="DE" term="%22Usability%22">Usability</searchLink><br /><searchLink fieldCode="DE" term="%22Information+Sources%22">Information Sources</searchLink><br /><searchLink fieldCode="DE" term="%22Information+Processing%22">Information Processing</searchLink><br /><searchLink fieldCode="DE" term="%22Program+Descriptions%22">Program Descriptions</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Michigan%22">Michigan</searchLink>
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  Data: 1939-5256
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In the last several years, a variety of approaches and tools have been developed for giving access to open educational resources (OER) related to food safety, security, and food standards, as well to various targeted audiences (e.g., farmers, agronomists). The aim of this paper is to present a technology infrastructure currently in demonstration mode at Michigan State University that will collect various agricultural education content (training descriptions, open educational content, competencies, and standards) and provide them through various interfaces, based on the needs of the targeted audience. The overall architecture of the infrastructure for the food safety sector and the needed components are presented, as well as the main usage scenarios that explain how the infrastructure can enhance existing platforms and services in the area of food safety and food security.
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  Data: As Provided
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  Data: 39
– Name: DateEntry
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  Data: 2014
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      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 14
        StartPage: 119
    Subjects:
      – SubjectFull: Food Standards
        Type: general
      – SubjectFull: Safety
        Type: general
      – SubjectFull: Agricultural Education
        Type: general
      – SubjectFull: Knowledge Management
        Type: general
      – SubjectFull: Educational Resources
        Type: general
      – SubjectFull: Open Source Technology
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      – SubjectFull: Electronic Learning
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      – SubjectFull: Computer System Design
        Type: general
      – SubjectFull: Usability
        Type: general
      – SubjectFull: Information Sources
        Type: general
      – SubjectFull: Information Processing
        Type: general
      – SubjectFull: Program Descriptions
        Type: general
      – SubjectFull: Michigan
        Type: general
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      – TitleFull: An Open and Scalable Learning Infrastructure for Food Safety
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              Y: 2013
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