TeLLNet




                           Pattern-based competence
                         management: On the gap between
  ...
TeLLNet
                                           Agenda
                          Motivation
                         ...
TeLLNet
                                             Intentions-Reality Gap




                                          ...
TeLLNet
                                      Competence Management
                         Identify the gap:            ...
Patterns as Input of
TeLLNet
                                    Competence Management
                         Pattern de...
Patterns as Input of
TeLLNet
                                    Competence Management
                         Pattern de...
Social Network Analysis view on
TeLLNet
                                   Collaborative Networks
                        ...
Methodology of Collaborative
TeLLNet
                                       Network Modeling
                          Fla...
Modeling Collaborative
TeLLNet
                                                            Network Reality
               ...
Modeling Collaborative
TeLLNet
                                                             Network Intention
            ...
Pattern-Based
TeLLNet
                                    Competence Management
                         1.   Model a coll...
TeLLNet
                                  Conclusions and Outlook
                          i* Modeling fills the gap bet...
Upcoming SlideShare
Loading in …5
×

Pattern-based competence management

1,060 views
955 views

Published on

the work was presented on Pro-ve 2010 conference at Managing and Modeling Competences session

Published in: Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
1,060
On SlideShare
0
From Embeds
0
Number of Embeds
6
Actions
Shares
0
Downloads
20
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide
  • Intension = SchemaIntention = Motiv
  • Pattern-based competence management

    1. 1. TeLLNet Pattern-based competence management: On the gap between intention and reality Ralf Klamma, Zinayida Petrushyna Informatik 5, RWTH Aachen October 12, 2010, Lehrstuhl Informatik 5 Modeling and Managing Competencies Session (Informationssysteme) Prof. Dr. M. Jarke I5-ZP-310810-1 11th IFIP Working Conference on VIRTUAL ENTERPRISES
    2. 2. TeLLNet Agenda  Motivation  Competencies and Patterns  Social Network Analysis Overview  Agent and Goal-Oriented Modeling  Modeling of Intention and Reality  Pattern-based Competence Management  Conclusions and Outlook Lehrstuhl Informatik 5 (Informationssysteme) Prof. Dr. M. Jarke I5-ZP-310810-2
    3. 3. TeLLNet Intentions-Reality Gap No students which are appropriate to organize an event Teacher wants to Goals Gap identification Activities The teacher asks organize an event for students to organize an students with a high Intentions Interactions event number of participants How to identify the Intention-Reality Gap?  How should a collaborative network (CN) be modeled?  Who are the actors in a CN and which dependencies exist between them? Lehrstuhl Informatik 5  How to identify absence / presence of competencies in CN?  Which competencies are required to bridge the gap? (Informationssysteme) Prof. Dr. M. Jarke I5-ZP-310810-3
    4. 4. TeLLNet Competence Management Identify the gap: Authors Definition of competence Competence management: McClella The knowledge, skills, traits, attitudes, self-  Identify competencies nd concepts, values, or motives directly related (1973) to job performance or important life  Attach competencies to tasks outcomes and shown to differentiate between superior and average performers. Bridge the gap: Competence development = Kupper The capability of people to perform in a Extending and Acquiring Expertise and van function or a profession according to the Wulfften qualifications they have. These Palthe qualifications should be expressed in terms (2001) of knowledge, skills and attitude.  Detection of knowledge, skills, attitudes, and values of CN members Lehrstuhl Informatik 5 (Informationssysteme)  Definition of a set of competence needed for a particular task Prof. Dr. M. Jarke I5-ZP-310810-4
    5. 5. Patterns as Input of TeLLNet Competence Management Pattern describes the problem that appear over and over again in our environment [Alex78] Pattern name:  description Pattern disturbance:  condition Pattern description:  explains the problem Pattern forces:  who relevant to the disturbance Pattern forces relations:  corresponds to a relation between actors included in the pattern as forces Pattern solution:  actions that need to be carried out in the situation Pattern rationale: reasoning about the forces and disturbances Lehrstuhl Informatik 5 Pattern relations: make the structure of pattern language clear (Informationssysteme) Prof. Dr. M. Jarke I5-ZP-310810-5
    6. 6. Patterns as Input of TeLLNet Competence Management Pattern describes the problem that appear over and over again in our environment [Alex78] Pattern name:  description Communicator Has interactions with many other CN members Pattern disturbance:  condition Pattern description:  Communicator „reaches“ others in a few steps A explains the problem A Communicator, a CN, an Interaction, a Medium, a Person Pattern forces:  who relevant to the disturbance Pattern forces relations:  Communicator and a Person are parts of a CN, A corresponds to a relation between actors a Communicator Interactspattern Person using a Medium included in the with a as forces Pattern solution:  Contactthat need to be carried out in the situation actions a Communicator to spread the word Pattern rationale: reasoning about the forces and disturbances Lehrstuhl Informatik 5 Pattern relations: make the structure of pattern language clear (Informationssysteme) Prof. Dr. M. Jarke [KSD06] I5-ZP-310810-6
    7. 7. Social Network Analysis view on TeLLNet Collaborative Networks i and j are collaborators in a collaborative network Γ=(N,L), (i, j ) ∈ L , where L is a set of links = interactions between collaborators  The total distance ∑ j∈N d (i, j) , where N is a set of nodes  The closeness is defined as: c(i ) ≡ 1 ∑ j∈N d (i, j )  How close is the node to the other nodes? How communicative is the node i?  Let Γ be connected, let the length of the shortest path be v(j, k), and vi(j,k) be the shortest path through i. i v ( j, k ) Then the betweenness of node i is b ≡ i ∑ v( j, k ) j ≠k  How influential is the node i? Lehrstuhl Informatik 5 (Informationssysteme) How often do the paths from the node j to the node k pass through the Prof. Dr. M. Jarke I5-ZP-310810-7 node i?
    8. 8. Methodology of Collaborative TeLLNet Network Modeling Flaws of modeling techniques: Artefact Community  Static relationships Actor  Without the context of the environment  Focused on machine operations Media Agent Premises and features of i* [Yu09] Process actor autonomy [KlPe08] intentionality Actor Network Theory [Lato87]: sociality  Extendable model (everything is an actor) rationality  Actors can be aggregated Community of Practice [Weng98] boundaries and identities  Interactions Lehrstuhl Informatik 5 (Informationssysteme) strategic reflectivity  Same goals Prof. Dr. M. Jarke I5-ZP-310810-8  Domain of knowledge
    9. 9. Modeling Collaborative TeLLNet Network Reality D Post D Website of D announcements the course Agent Agent evaluate Teacher ISA D D Actor Actor Artefacts: announcements Media Essays ISA D D D Goal D Goal dependency create,find, reuse D Interacting Learner D D Discussion D Resource D Resource dependency with peers forum D Task D Task dependency Actor autonomy: actors are in the center; actors are autonomous Intentionality: intentional properties and behaviors – Interacting with peers Sociality: actors depend on other actors – Media –Learner Rationality: actor actions are related to goals and motives - Evaluate Lehrstuhl Informatik 5 (Informationssysteme) Prof. Dr. M. Jarke Strategic reflectivity: each actor reflects upon its relationships with other actors I5-ZP-310810-9
    10. 10. Modeling Collaborative TeLLNet Network Intention Teacher D Post Agent announcements Agent D D D nize D Orga ent Actor Actor v cus o n an e To fo sional Website of s profe tences D pe the course A Role Role evaluate com IS Media D D D Goal D D Goal dependency Communicator ISA D Resource D Resource dependency announcements Artefacts: Essays ISA D Task D Task dependency D Softgoal dependency D Discussion D softgoal D D Interacting D forum create,find, reuse D Learner with peers ISA connection (is a) ISA Intentionality: Teacher wants to organize an event for students Sociality: Teacher depends on Communicator in organizing an event Rationality: Looking for a student with an organizing event competence Lehrstuhl Informatik 5 (Informationssysteme) Prof. Dr. M. Jarke I5-ZP-310810-10 Strategic reflectivity: Give a task related to the event organization
    11. 11. Pattern-Based TeLLNet Competence Management 1. Model a collaborative network – Define actors and their dependencies – Define actors‘ intentions 2. Analyze the network with Social Network Analysis 3. Define patterns using SNA measures 4. Based on SNA patterns and a CN model: – Possible to extract the competencies of the members – Identify the competencies that need to be acquired Lehrstuhl Informatik 5 (Informationssysteme) Prof. Dr. M. Jarke I5-ZP-310810-11
    12. 12. TeLLNet Conclusions and Outlook  i* Modeling fills the gap between intention and reality of collaborative networks  Patterns serve as input of competence management  Patterns should be based not only on structure of collaborative networks but as well take context and domain of knowledge into consideration  Patterns should be empirically evaluated Lehrstuhl Informatik 5 (Informationssysteme) Prof. Dr. M. Jarke I5-ZP-310810-12

    ×