maurice hendrix, alexandra i. cristea a3h @ ec-tel 2009 {maurice, acristea}@dcs.warwick.ac.uk...

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Maurice Hendrix, Alexandra I. Cristea A3H @ EC-TEL 2009 {maurice, acristea}@dcs.warwick.ac.uk Adaptation languages for learning: the CAM meta- model

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Page 1: Maurice Hendrix, Alexandra I. Cristea A3H @ EC-TEL 2009 {maurice, acristea}@dcs.warwick.ac.uk Adaptation languages for learning: the CAM meta-model

Maurice Hendrix, Alexandra I. Cristea

A3H @ EC-TEL 2009

{maurice, acristea}@dcs.warwick.ac.uk

Adaptation languages for learning: the CAM meta-model

Page 2: Maurice Hendrix, Alexandra I. Cristea A3H @ EC-TEL 2009 {maurice, acristea}@dcs.warwick.ac.uk Adaptation languages for learning: the CAM meta-model

Outline

• Why personalisation?• Adaptive Hypermedia (AH)• Course creation (authoring) by non-technical

users• Proposed solution• Conclusions and further work

Page 3: Maurice Hendrix, Alexandra I. Cristea A3H @ EC-TEL 2009 {maurice, acristea}@dcs.warwick.ac.uk Adaptation languages for learning: the CAM meta-model

Why personalisation?

• Students benefit from personalised attention

• Teachers are unable to provide this for every student

• Systems that can offer this could improve the learning outcomes

Page 4: Maurice Hendrix, Alexandra I. Cristea A3H @ EC-TEL 2009 {maurice, acristea}@dcs.warwick.ac.uk Adaptation languages for learning: the CAM meta-model

Adaptive Hypermedia

• Hypermedia • Set of nodes and links, e.g. web page

• Adaptive• What to adapt : presentation,

navigation• What to adapt to : user (e.g.

preference, knowledge), environment (e.g. device, connection)

• Can deliver personalised attention

• Has potential to improve learning outcome

Page 5: Maurice Hendrix, Alexandra I. Cristea A3H @ EC-TEL 2009 {maurice, acristea}@dcs.warwick.ac.uk Adaptation languages for learning: the CAM meta-model

Course creation (authoring) by non-technical users

• AH course creation is more complex, involves writing adaptation strategy

• Trade off between expressivity and ease of use by teachers crucial for success of AH

• Re-usability often limited

Page 6: Maurice Hendrix, Alexandra I. Cristea A3H @ EC-TEL 2009 {maurice, acristea}@dcs.warwick.ac.uk Adaptation languages for learning: the CAM meta-model

Solutions up to now

• System specific (XML) formats

• Graph based e.g. AHA! Graph author, without separation into layers (conceptual domain, adaptation strategy, course)

• Layers based e.g. MOT with LAG. But based on tree structure.

Page 7: Maurice Hendrix, Alexandra I. Cristea A3H @ EC-TEL 2009 {maurice, acristea}@dcs.warwick.ac.uk Adaptation languages for learning: the CAM meta-model

Proposed solution:Conceptual Adaptation Model

Page 8: Maurice Hendrix, Alexandra I. Cristea A3H @ EC-TEL 2009 {maurice, acristea}@dcs.warwick.ac.uk Adaptation languages for learning: the CAM meta-model

Implications for Adaptation Languages

• Visual language for DM, (CRT) and CAM

• XML language for internal repr. DM, CRT, CAM

• Export language package: CAM

Page 9: Maurice Hendrix, Alexandra I. Cristea A3H @ EC-TEL 2009 {maurice, acristea}@dcs.warwick.ac.uk Adaptation languages for learning: the CAM meta-model

Visual language

DM visual language

Page 10: Maurice Hendrix, Alexandra I. Cristea A3H @ EC-TEL 2009 {maurice, acristea}@dcs.warwick.ac.uk Adaptation languages for learning: the CAM meta-model

Visual languageCAM visual language

Page 11: Maurice Hendrix, Alexandra I. Cristea A3H @ EC-TEL 2009 {maurice, acristea}@dcs.warwick.ac.uk Adaptation languages for learning: the CAM meta-model

XML language• Common header, with name, description,

creation date and date last updated

• DM: IMS-VDEX based

• CRT: UM variables in use, constraints on combining CRTs, adaptive behaviour in adaptation language

• CAM: contains DM and CRT and instantiation or CRTs with Concepts from DM

Page 12: Maurice Hendrix, Alexandra I. Cristea A3H @ EC-TEL 2009 {maurice, acristea}@dcs.warwick.ac.uk Adaptation languages for learning: the CAM meta-model

CAM based authoring tool

Page 13: Maurice Hendrix, Alexandra I. Cristea A3H @ EC-TEL 2009 {maurice, acristea}@dcs.warwick.ac.uk Adaptation languages for learning: the CAM meta-model

Conclusions and further work

• Presented a novel model and tool for authoring of AH that could help realise potential for learning

• The evaluation to gather usability and user acceptance data via a standard SUS usability test and a more extensive formative evaluation

• Want to participate in evaluation? [email protected]