eportfolios in activemath

Download ePortfolios in ActiveMath

Post on 02-Jul-2015

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Describes a first approach to implement e-portfolios in ActiveMath

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  • 1. ePortfolio in Martin Homik, Erica Melis -- ActiveMath Group - www.activemath.org ePortfolio 2005, Cambridge German Research Center for Artificial Intelligence (DFKI GmbH) Saarland University

2. Outline

  • Motivation
  • ActiveMath
  • Workbook (ActiveMaths ePortfolio)
  • Capturing Semantics in Workbook
  • Architecture
  • Conclusion

3. Motivation

  • Current ePortfolios: standalone applications
    • Integration into large systems, in general?
    • Integration into learning environments?
  • Definition: collection of evidences
    • How to capture reflection on processes?
    • How to turn implicit knowledge into explicit one?
  • Function: store and provide access
    • How to support users?

4. ActiveMath

  • Web-based
  • User-adaptive
  • Interactive
  • Semantic KR
  • Service-based

5. ActiveMath

  • Web-based
  • User-adaptive
  • Interactive
  • Semantic KR
  • Service-based

6. ePortfolio in ActiveMath (Workbook) 7. Assembly Tool

  • Students are book smart
  • Assemble own books
  • Supports meta-cognitive skills
  • Store locally/upload

8. Learning log

  • Self-managed documentation of learning objectives
  • Base on experience with paper logs
  • Reflection on:
    • Content
    • Process
    • Meta-Cognition

9. Hypotheses

  • Formulation and justification
  • Annotated by beliefs
  • Supports:
    • Reasoning
    • Problem solving
    • Argumentation

10. Views and Queries

  • List entries: all/specific type/specific period
  • related to a specified learning object
  • related to LOs a learner does not understand
  • related to LOs a learner did not understand in first place, but has learned meanwhile.
  • .

11. Capturing Semantics

  • By structure
    • We know what we ask
  • By multiple choice questions
    • We can interpret answers
  • By template answers
    • We can interpret answers without full understanding
  • By drag&drop
    • We can relate entries to learning objects

12. Capturing Semantics: Structure

  • Questions related to:
  • General data
  • Content
  • Process
  • Meta-cognition
  • Label
  • Privacy
  • Date
  • What was the lesson about? Write a summary.
  • What did you (not) understand?
  • Formulate questions to issues you did not understand.
  • What kind of tools or resources did you use for solving?
  • Who helped you?
  • What difficulties arose during problem solving?
  • What learning objects were most helpful to you?
  • How would you rate your performance?
  • Did you achieve your goals? If not, why?
  • Who can help you?

13. Capturing Semantics: Drag&drop http://demo.activemath.org:8080/... mbase://LeAM_calculus/diffquot/def_diff_quot 14. Architecture Math Knowledge Base Learner Model Server Clients Web Server Manager retrieve JNLP (http) Learning log Database 15. Outlook

  • Evaluation:
    • Currently in seminar with 15 university students
    • Planned for LeActiveMath EU-Project
  • Investigate learning logs (types, semantics, )
  • Enhance collaboration
  • Increase interaction with ActiveMaths services
  • Compare learning logs with learner model
  • Integration of more reflection-supporting tools
  • (Examine) Export in IMS ePortfolio

16. Conclusion

  • ePortfolios in learning environments
    • Not restricted to collection of evidences
    • Store reflection processes
  • Explicit reflection supports meta-cognition
  • Capturing semantics enables provision of user-adapted support
  • Still a lot of interesting work to do.

17. Thank you. www.activemath.org