Intelligent Database Systems Lab N.Y.U.S.T. I. M. Introducing Live ePortfolios to Support Self Organised Learning Presenter : Yu-hui Huang Authors : Thomas

Intelligent Database Systems Lab

N.Y.U.S.T.

I. M.

Introducing Live ePortfolios to Support Self Organised Learning

Presenter : Yu-hui Huang

Authors : Thomas Kirkham, Sandra Winfield, Angela Smallwood, Kirstie Coolin, Stuart Wood and Louis Searchwell1

ETS 2009

國立雲林科技大學National Yunlin University of Science and Technology

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N.Y.U.S.T.

I. M.Outline

Motivation

Objective

Methodology

Conclusion

Comments

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N.Y.U.S.T.

I. M.Motivation

In the past ePortfolios requires manual input data from one system to another as the learner makes a transition, or else provision of separate portfolios in each institution.

often results in data loss, lack of adoption and third-party access – a complex and non-standard process.

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N.Y.U.S.T.

I. M.Objective

Present a platform that has characteristic as follows： Cross-Platform

Single sign on

Reflect on learning

Self organized learning

collaboration

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N.Y.U.S.T.

I. M.Methodology

Typical ePortfolios： Portal-based website.

Showcase ： share examples of their work.

Qualification ： provides the e-assessment interface , or qualification history.

Learning or development ： provides the student’s learning plan with goals.

Lifelong learning summary ： provides summary information on a timeline.

Transaction ： enables capturing and editing of information

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N.Y.U.S.T.

I. M.Methodology

Live ePortfolios： This will enable the different types of ePortfolio to be present within a

single application and interchange as different data views.

ePortfolio forms a domain of collaboration, using the concepts of VOs

Automated use of data by these parties will need a delicate and secure data management framework. (such as SAML2.0)

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N.Y.U.S.T.

I. M.Methodology

Virtual Organisations (VOs)： It will provide the actors in VO with a secure and reliable system to

support the automated sharing of specific data from each partner.

For the user, it will present greater access to data to aid reflective learning and development.

VOs can be used to tailor learning and

personal development to suit the user’s

individual social interests

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N.Y.U.S.T.

I. M.Methodology- Implementation

Phase 1： Linking the university systems into the ePortfolio. and to link associated student

data directly into the ePortfolio from the registration process.

This data can also be linked to the University’s learning objects to aid the student in the self learning process.

This linkage will enable the user to use the ePorfolio as a resource to aid integration into the workplace.

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N.Y.U.S.T.


Phase 2： It is linked into the workplace staff appraisal systems. records of work-

based assessment.

from the learning side ,it is linked to a project plan reflecting both the main aims of the placement and the student’s academic development.

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Phase 3： data from various placements can be compared and evaluated in terms

of student attainment and also achievement.

Students can be grouped and encouraged to join special interest groups around areas of both learning and industrial development.

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N.Y.U.S.T.

I. M.Conclusion

1111

However, the vision of the live ePortfolio is dependent on the development and adoption of a trusted infrastructure that can support both users and service providers.


N.Y.U.S.T.

I. M.Comments

Advantage ….

Drawback I don’t understand how to implementation for this paper.

What is the contribution.

This paper no explain that how to make self-learning .

Application …

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Intelligent Database Systems Lab N.Y.U.S.T. I. M. Introducing Live ePortfolios to Support Self Organised Learning Presenter : Yu-hui Huang Authors : Thomas