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AIED 2009 – Brighton (UK) - 08 July 2009
              DC paper

Toward adaptive presentations
       of student models
  in eLearning environments

Luca Mazzola & Riccardo Mazza

USI - University of Lugano, Switzerland
 Faculty of Communication Sciences
Institute for Communication Technologies
                                           1
Context


Open Learner Model


Adaptive Learning System


Learner meta-cognitive processes

                                   2
Key Points

Architecture to customize the presentation of
OLM to some characteristic of the learner itself

Template based:
 Way of calculating indicators
 'Rules' to show indicators
 Way of encoding in graphic/text

                                                   3
Idea
To adapt the graphical
representation of open
student model to:
 preknowledge
 preferences
 learning goal
 experience level
 ...


                                4
From model to infrastructure

                               template




                               




                                          5
Infrastructure
Use template to allow Instructional Designer to
specify
 different indicators
 alternative adaptation policies to apply




                                                  6
Role of templates
Guide for:

 Configure
 Aggregate                           template
  data
 Calculate
  indicators
 Create rules                       parameters

  for
  encoding
                                                 7
Expected output

A general architecture characterized by:

 adapted presentation of learner model

 supported by customized indicators

 produced through the use of templates from ID

 guided at run-time by input from user characteristics

                                                         8
Validation

3 main aspects that will be evaluated:
 Usability (a)
 Impact of adaptive features (b)
 Learner's perception of usefulness (c)

(a) → IsoMetrics questionnaire
(b) and (c) → some empirical studies
 interviews with different stakeholders
 focus groups

                                          9
Next steps


- Validate some widget mockups

- Implement the architecture

- Introduce metrics to allow the proximity analysis
and visualization


                                                      10
Feedback
GRAPPLE project - 7th EU FP
http://www.grapple-project.org

   Thanks for the attention

        Questions?


   luca.mazzola@lu.unisi.ch

                                 11

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Toward adaptive presentations of student models in eLearning environments

  • 1. AIED 2009 – Brighton (UK) - 08 July 2009 DC paper Toward adaptive presentations of student models in eLearning environments Luca Mazzola & Riccardo Mazza USI - University of Lugano, Switzerland Faculty of Communication Sciences Institute for Communication Technologies 1
  • 2. Context Open Learner Model Adaptive Learning System Learner meta-cognitive processes 2
  • 3. Key Points Architecture to customize the presentation of OLM to some characteristic of the learner itself Template based: Way of calculating indicators 'Rules' to show indicators Way of encoding in graphic/text 3
  • 4. Idea To adapt the graphical representation of open student model to: preknowledge preferences learning goal experience level ... 4
  • 5. From model to infrastructure template 5
  • 6. Infrastructure Use template to allow Instructional Designer to specify different indicators alternative adaptation policies to apply 6
  • 7. Role of templates Guide for: Configure Aggregate template data Calculate indicators Create rules parameters for encoding 7
  • 8. Expected output A general architecture characterized by: adapted presentation of learner model supported by customized indicators produced through the use of templates from ID guided at run-time by input from user characteristics 8
  • 9. Validation 3 main aspects that will be evaluated: Usability (a) Impact of adaptive features (b) Learner's perception of usefulness (c) (a) → IsoMetrics questionnaire (b) and (c) → some empirical studies interviews with different stakeholders focus groups 9
  • 10. Next steps - Validate some widget mockups - Implement the architecture - Introduce metrics to allow the proximity analysis and visualization 10
  • 11. Feedback GRAPPLE project - 7th EU FP http://www.grapple-project.org Thanks for the attention Questions? luca.mazzola@lu.unisi.ch 11