Contextualized Attention Metadata

1
Contextualized Attention Metadata

• Martin Wolpers
• Fraunhofer FIT
• Germany

2
MACE

• MACE is
• Making digital architectural learning resources
  accessible
• Federation of repositories
• New types of access
• Enriching resource descriptions
• Combining different types of metadata
• Content, domain, usage, competence metadata

3
CAPLE
User

• Challenge 1
• Capture and correlate content, context, user and
  attention metadata
• Challenge 2
• User task and trend identification
• Challenge 3
• Personalized and contextualized learning
  experiences

CAPLE
Context
Content
Attention
4
Other projects

• Aloe Flashmeeting Ariadne
• See Martin Memmels talk
• Coupling Business Process and Learning Management
  
• Measure distance business process execution
  (planned real-world)
• Use distance to identify individual learning need

5
Purpose(s) of Metadata

• My perspective only!
• Metadata is not self sufficient!
• Metadata is used
• To describe resources
• To organize resources
• To inform about resources
• To enable automatic processing of resources
• To make resources available

6
Questions I would like to be able to answer
easily

• How has a user used a digital resource?
• How often? Where? When? Which content?
• Has interest in content changed over time?
• How? Which content? When relevant?
• In which context has a digital resource been
  used?
• By whom? When? Where?
• Broader
• What is the learning path of the user?
• Can a personal trace of activities make my life
  more secure?

7
Context and Attention

• Correlation of data about
• Time, Content, Context and User
• Capture observations about how the user handles
  digital information.
• Describe observations (e.g. using CAMs)
• Structure User Application Document
  Activities
• Deduce attention and context of activities.
• Identify trends, tasks and goals.

8
Nice to have

• Portability of Metadata
• Interoperability of Metadata and Standards
• Integration and (Re-)Combination of Standards
• Security/Trustworthyness of Metadata
• Lightweight standards
• Goal-oriented standards
• No one-fits-it-all solution