0
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-1
Learning
Layers
This work is licensed under a...
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-2
Learning
Layers
Agenda
 BOOST project
 Func...
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-3
Learning
Layers
BOOST Project
 Issue: SMEs h...
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-4
Learning
Layers
Functional Requirements
Basic...
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-5
Learning
Layers
Functional Requirements
Roles...
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-6
Learning
Layers
Functional Requirements
Compe...
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-7
Learning
Layers
Functional Requirements
Learn...
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-8
Learning
Layers
Technical Prototype
Manager A...
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-9
Learning
Layers
Technical Prototype
Trainer A...
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-10
Learning
Layers
Technical Prototype
Employee...
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-11
Learning
Layers
Conclusion & Future Work
 D...
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-12
Learning
Layers
Demo
http://role-sandbox.eu/...
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Supporting Workplace Learning in Small Enterprises by Personal Learning Environments

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Small and micro enterprises have a decreasing participation in vocational education and training. There is a real need to engage them in developing a positive attitude towards training. The BOOST (Business perfOrmance imprOvement through individual employee Skills Training) project will integrate outcomes from two previous projects (BECOME and ROLE), in order to develop associated methodologies and tools. These will enable enterprises with less than 20 employees to identify their critical business needs and then also to find appropriate and customized learning resources to meet these needs. Our solution provides predefined Personal Learning Environments for 3 different roles. These environments are customizable and should be further developed towards personalization and adaptivity.

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Transcript of "Supporting Workplace Learning in Small Enterprises by Personal Learning Environments"

  1. 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. 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. 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. 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. 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. 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. 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. 8. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-FL-MMYY-8 Learning Layers Technical Prototype Manager Area
  9. 9. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-FL-MMYY-9 Learning Layers Technical Prototype Trainer Area
  10. 10. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-FL-MMYY-10 Learning Layers Technical Prototype Employee Area
  11. 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. 12. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-FL-MMYY-12 Learning Layers Demo http://role-sandbox.eu/spaces/boostdemo
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