Boosting Informal Workplace Learning in Small Enterprises Milos Kravcik, Katya Neulinger, Ralf Klamma Advanced Community Information Systems (ACIS) RWTH Aachen University, Germany ARTEL Workshop, EC-TEL, Graz, Austria, September 16th, 2014

1. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-1
Learning
Layers
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Boosting Informal Workplace Learning in Small Enterprises
MilosKravcik, KatyaNeulinger, Ralf KlammaAdvanced Community Information Systems (ACIS) RWTH Aachen University, Germany
kravcik@dbis.rwth-aachen.de
ARTEL Workshop, EC-TEL, Graz, Austria, September 16th, 2014

2. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-2
Learning
Layers
Agenda

Motivation

Functionalrequirements

Technical prototype

Conclusionandfuturework

Demo

3. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-3
Learning
Layers
Motivation

Issue:decreasingparticipationofSMEs in VET –informal learningattheworkplace!

Learning Layers:ScalingupTechnologies forInformal Learning in SME Clusters
–http://learning-layers.eu/

BOOST:Business perfOrmanceimprOvementthrough individual employee Skills Training
–http://www.boost-project.eu/
–
Integratesoutcomesfrom2 projects:
–
BeCome: methodology
–
ROLE: technology(Personal Learning Environments)
–
Focus: enterpriseswith<20 employees

4. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-4
Learning
Layers
FunctionalRequirementsPhases

Planning:
–
Identify critical business goals in the company
–
Select employees to address them

Learning:
–
Support theirlearning
–
Recommendlearningresources

Reflection:
–
Monitor the learning progress of the company and of the employees

5. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-5
Learning
Layers
FunctionalRequirementsData & Roles
Data Model

BusinessGoals
–
Project administration
–
Web development

Learning Indicators
–
Planning, reporting
–
Web design, informationarchitecture

Learning Resources
–
Materials, tools, peers
User Roles

Manager
–
Specifiescompany‘sBGs
–
AssignsBGs toemployees
–
Monitors learningprogress

Trainer
–
DescribesLIs forBGs
–
RecommendsLRs forLIs

Employee
–
GetsassignedBGs, LIs, LRs
–
Learns& monitorsprogress

6. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-6
Learning
Layers
Technical PrototypeManager Area

7. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-7
Learning
Layers
Technical PrototypeTrainer Area

8. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-8
Learning
Layers
Technical PrototypeEmployeeArea

9. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-9
Learning
Layers
Conclusion& Future Work

Done:
–
Identificationofrequirements
–
Development oftechnicalprototype
–
First evaluationoftechnicalprototype
–
Interviews with15 stakeholders

Todo:
–
Update oftechnicalprototype
–
Privacy
–
Personalization
–
Time scales
–
Testingin companies

10. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-10
Learning
Layers
Demo
http://role-sandbox.eu/spaces/boostde