Using DITA Learning Topics for Information Modeling and Learning Content Development for Disaster Risk Preparedness in the Agricultural Sector

Jan Beniest World Agroforestry Centre (ICRAF), Nairobi, Kenya

Thomas Zschocke & Juan Carlos Villagrán de LeónUnited Nations University Institute for Environment and Human Security (UNU-EHS), Bonn, Germany

Workshop: Learning Technology Standards for Agriculture and Rural Development - 4th International Conference on Information & Communication Technologies in Bio & Earth Sciences, September 18-20, 2008, Athens, Greece

UNU-BIOLACBiotechnology and society

UNU-CRISLocal & global governance, regional integration

UNU-EHSEnvironment and human security

UNU-FNPFood and nutrition capacity building

UNU-GTPGeothermal research, exploration and development

UNU-IASStrategic approaches to sustainable development

UNU-IIGHGlobal health

UNU-IISTSoftware technologies for development

UNU-ILILeadership development

UNU-INRANatural resources management

UNU-INWEHWater, environment and human health

UNU-MERITSocio-economic impacts of new technologies

UNU-WIDERDevelopment economics

UNU-HQUNU-Centre

UNU-FTPPostgraduate fisheries research and development

United Nations University system

Scientist

Partnersscientist

Learner

Advisor

Mentor

Highereducation

Technical /professional training

Community-basedcapacity building

Scientific documentation

Technicaldocumentation

Trainingmaterials

PR / PAmaterials

Researchoutput

Research article

Technical report

Working paper

Policy paper

Thesis work

ManualsGuidelines

Policies & procedures

Case studies

Worksheets

Technical information sheets

Pamphlets

Brochures

Annual reports

TextbooksExercises

Tests / assessments

Simulation

Models, charts

Newsletters

Scientists produce content once, and reuse it for different purposes, in different formats and delivery channels

• Reuse content within an organization (intra)• Reuse content across different organizations

(inter)

Develop a content strategy to integrate both technical data (“information objects”) and training data (“learning objects”) based on open standards, e.g., XML, DITA, SCORM

• Produce both technical content and learning content from legacy material

• Produce dual-purpose content for both technical documentation and customized training

Generating content knowledge

Learning object content model

CG LOM Core

CGIAR OLR repository

CGIAR OLR Moodle LMS

Workflow learning content generation

DITA basic topic types

Reusing DITA topics

Writing DITA topic content

Writing DITA topic content

Exporting DITA topic content

Reusing content

Analyzing content for reuse

DITA learning content

Mapping DITA learning content

Generating DITA learning content