The document discusses supporting workplace learning in small enterprises through personal learning environments. It describes the BOOST project which aims to address decreasing participation of small and medium enterprises in vocational education and training. The project integrates outcomes from two previous projects. Functional requirements for the system include identifying business goals, selecting employees, supporting learning, and monitoring progress. Roles include managers, trainers, and employees. The technical prototype provides separate areas for managers, trainers and employees. Future work involves evaluating and updating the prototype based on testing in companies.

1. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-1
Learning
Layers
This work is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License.
Supporting Workplace Learning
in Small Enterprises by Personal
Learning Environments
Milos Kravcik, Katya Neulinger, Ralf Klamma
Advanced Community Information Systems (ACIS)
RWTH Aachen University, Germany
kravcik@dbis.rwth-aachen.de
ProS Workshop, UMAP, Aalborg, Denmark, July 7th, 2014

2. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-2
Learning
Layers
Agenda
 BOOST project
 Functional requirements
 Technical prototype
 Conclusion and future work

3. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-3
Learning
Layers
BOOST Project
 Issue: SMEs have a decreasing participation in VET
 BOOST: Business perfOrmance imprOvement
through individual employee Skills Training
– Leonardo da Vinci – Lifelong Learning Programme
– http://www.boost-project.eu/
– Integrates outcomes from 2 projects:
– BeCome: methodology
– ROLE: technology
– Focus: enterprises with <20 employees

4. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-4
Learning
Layers
Functional Requirements
Basic Workflow
 Identify critical business goals in the company
 Select employees to address them
 Support their learning
 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
Functional Requirements
Roles & Data
User Roles
 Manager
– Business manager
– Business advisor
 Trainer
– Training manager
– Learning facilitator
 Employee
Data Model
 Business Goals
– Project administration
– Web development
 Learning Indicators
– Planning, reporting
– Web design, information
architecture
 Learning Resources

6. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-6
Learning
Layers
Functional Requirements
Competence Management
1. Specification of relevant Business Goals (BGs – high-level
competences), their priorities and time scales
2. Assignment of Learning Indicators (LIs – concrete competences) to
each BG, considering also time scales
3. Assignment of Learning Resources (LRs – e.g. documents, widgets,
peers) to LIs
4. Assignment of relevant BGs and LIs to employees
5. Setting up target LI (proficiency) levels for relevant BGs for each
employee, considering time scales
6. Assessment of the start & current LI (proficiency) levels for the
employee
7. Monitoring the training progress in the company and also of each
employee (considering also time scales)

7. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-7
Learning
Layers
Functional Requirements
Learning Process
Concrete requirements for learning are company specific
1. Community support – sharing experience, communication,
collaboration
2. Domain specific support – training (learning) and
assessment
3. Annotation (ranking) of learning resources assigned to LIs
4. Considering preferences (e.g. learning styles) of individuals

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

9. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-9
Learning
Layers
Technical Prototype
Trainer Area

10. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-10
Learning
Layers
Technical Prototype
Employee Area

11. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-11
Learning
Layers
Conclusion & Future Work
 Done:
– Identification of main requirements
– Development of technical prototype
 To do:
– Evaluation of technical prototype
– Update of technical prototype
(personalization & adaptation)
– Testing in companies

12. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-12
Learning
Layers
Demo
http://role-sandbox.eu/spaces/boostdemo