how can we build an open and scalable learning infrastructure for food safety?
DESCRIPTION
Invited lecture given at the University of Piraeus, focusing on a large scale case study of a learning technologies' application. Focused on the example of the Global Food Safety Partnership (GFSP, http://www.gfsp.org) and presented our view on backing it up with an infrastructure federating and linking different information sources/providers. These ideas have also been presented at this JALN paper: http://sloanconsortium.org/jaln/v17n2/open-and-scalable-learning-infrastructure-food-safetyTRANSCRIPT
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How can we build an open and scalable learning infrastructure
for food safety
Nikos [email protected]
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“meaningful services around high-quality agricultural data”
http://wiki.agroknow.gr
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“…why do I care??”
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?
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?
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!
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How can I provide safe food?
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How can I produce safe
food?
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?
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Multi-Donor Trust Fund (MDTF) being established to raise at least $45,000,000 for implementation of a Roadmap and 5-year workplan
aim: train small food producers, around the world, using blended approaches
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global food safety capacity building
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is it a…
?
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reflecting on complexity#3
Program Facilitation
Open & Scalable Learning Infrastructure
Includes : - OER data pool
- Course registry - Curriculum Development
-Curricula Alignment
Open & Scalable Learning Infrastructure
Includes : - OER data pool
- Course registry - Curriculum Development
-Curricula Alignment
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• may aim higher than a single GFSP learning platform – cannot generalize something that requires a focused, regional approach
• rather develop a GFSP Learning Infrastructure including (among others) – Educational Offerings Aggregator Services– Curriculum Support, Registry & Alignment Services– GFSP Learning Portal (main front end)– GFSP Learning Widgets/apps (to be integrated in web
sites, offered through smartphones/tablets, etc)
evolving the concept
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could look like this
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• back end technology infrastructure– ingest, harvest, aggregate course and OER
metadata from existing or new (e.g. legacy) learning platforms and OER collections– tools to allow course and OER providers to
align/map their metadata & classifications to the GFSP ones
Educational Offerings Aggregator
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• representation of GFSP curriculum in interoperable format (using learning outcomes, competences)– tools to allow other course providers to register and
express/map their curricula to the GFSP curriculum– tools to facilitate the generation of multilingual versions
of the curricula descriptions– generation of transformable curricula representations to
allow users to browse using preferred curicullum format
Curriculum Registry & Alignment
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• main front-end to present project and allow users to find information in the aggregated sources– various modalities (visual, device, thematic,
geographical, industry, …) for search & discovery of courses and OER –multilingual interfaces and metadata facilitated
by automatic translation engines
GFSP Learning Portal
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• search/discovery interfaces and mechanisms that can be embedded in other web sites and portals (widget-like or search pages in sites)
• mobile apps for various operational systems (iOS, Android, Windows 8)
• back-end engine to allow straightforward generation of adaptable versions of both (thematic, industry, geographical, linguistic, …)
GFSP Learning Widgets/Apps
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important distinction
• such a learning infrastructure is heavily dependent on the back-end layers
• it is important to be able to power existing applications and services
• the centralised portal mainly serves as demonstrator
• will really change something if it provides a wealth of resources around each topic
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a case study
• regional meat producer in Paraguay– example scenario: exploring how their company
can start selling packaged cooked ham to an international food distribution company
• product of high quality one, made from pure pork ham– let us assume that they would like to find out more
about the food safety standards of cooked ham
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this is why#3
Program Facilitation
Open & Scalable Learning Infrastructure
Includes : - OER data pool
- Course registry - Curriculum Development
-Curricula Alignment
Open & Scalable Learning Infrastructure
Includes : - OER data pool
- Course registry - Curriculum Development
-Curricula Alignment
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what’s really happening behind
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DOMAIN EXPERTS
publish & evolve vocabularies &
ontologies
CONTENT PROVIDER WITH CMS THAT SUPPORTS OAI-PMH (e.g. FSKN compliant, ePrints, DSPACE,...)
CONTENT PROVIDER WITH CMS THAT DOES NOT SUPPORT OAI-PMH (e.g. Proprietary DB)
Metadata export in proprietary
format & provides mapping
Ingestion in compliant tool
CONTENT PROVIDER WITH UNORGANISED COLLECTION(e.g. Listed at Web site or in DVD-ROM)
Chooses compliant tool
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Exposes metadata
through OAI-PMH
Exposes metadata
through OAI-PMH
Exposes metadata
through OAI-PMH
METADATA AGGREGATOR
Indexed & available in back-end
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typical problems
a. metadata authoring/creationb. metadata assurance/validationc. metadata values/vocabulariesd. metadata multilingualitye. …lots more
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a. authoring/creation
• metadata creation is a painful and costly process–automatic generation can help–high quality/accuracy/relevance
descriptions require human intervention
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a. authoring/creation
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b. assurance/validation
• good online services demand high quality (or at least not poor quality) description of content–someone needs to take the final decision
before something is published–especially relevant when content
development has been costly/labourous
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b. assurance/validation
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c. values/vocabularies• mappings and crosswalks among values and
vocabularies of different collections are crucial–usually manually defined and maintained–difficult to ensure that all applications will
publish and link their vocabularies–vocabulary bank management tend to become
too complex for the purpose that they serve
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c. values/vocabularies
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d. multilinguality• for multilingual contexts, everything
needs to become (and be maintained) multilingual–metadata values and labels– interface labels for various systems
• automatic translation helps but usually produces rather rough/poor translations
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d. multilinguality
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challenges in semantics
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describing course offerings
• what I am describing is different to what you are describing…–…but there are so many similar things!
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Africa Lead course database
Provider: University of Pretoria
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CerOrganic portal
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Africa Lead SchemaCerOrganic Schema
Missing
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competencies description
• what I would like to learn is what you need me to know…–…but what is really needed is connecting a
job profile to the relevant course offerings!
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GFSI Competency Framework
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AGRICOM job profile description
Job description or single task description
Required competences
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GFSI Competency Framework
AGRICOM Competence Framework / Job task
Competence Title
Competence description
Course title
Job / task title
Job profile / task description
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expected learning outcomes
• what I am going to learn should be what I am expected to know for my job…–…but sometimes it’s not very clear what this
is going to be!
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DICLA training centerCerOrganic Curriculum description
Capabilities: When completing this course you will be able to perform basic routine operations in a defined hydroponic context under close supervision.
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more issues…
• old-fashioned legacy systems still used in such traditional settings– terms like “OER” and “MOOC” sound like science fiction
• novel technologies such as semantic stores and ontology editing/managing environments are not user-friendly and proven– especially for such technology-ignorant users
• very rich semantics to be represented, handled and exploited; but we are not there yet
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wrap upwrap up
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targeted domaintargeted domain
• rich in data-oriented problems and cases
• focused on “real” users• inter-disciplinary work• results related to societal
goals/challenges
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increase use & reuseincrease use & reuse• digital sources and collections
material to be used (and potentially re-used) in several contexts– even different than originally
expected/thought of