AN OPEN AND SCALABLE LEARNING INFRASTRUCTURE FOR FOOD SAFETY

Nikos Manouselis, Charalampos Thanopoulos, Karen Vignare, Christine Geith

Abstract


In the last 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 a various targeted audience (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, competences 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.

Keywords


Food safety, competencies, metadata, Massively Open Online Courses (MOOC), open educational resources (OER), open content, Open CourseWare (OCW), online learning, agriculture, discoverability, search, information communications technology, Food Safety Kno



DOI: http://dx.doi.org/10.24059/olj.v17i2.370