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A Data Model for Describing and Exchanging Personal Achieved Learning Outcomes (PALO)
Author(s) -
Jad Najjar,
Michael Derntl,
Tomaž Klobučar,
Bernd Simon,
Michael Totschnig,
Simon Grant,
Jan Μ. Pawlowski
Publication year - 2010
Publication title -
international journal of it standards and standardization research
Language(s) - English
Resource type - Journals
eISSN - 1539-3062
pISSN - 1539-3054
DOI - 10.4018/jitsr.2010070107
Subject(s) - employability , interoperability , implementation , learning management , lifelong learning , computer science , schema (genetic algorithms) , knowledge management , engineering management , data science , world wide web , engineering , software engineering , machine learning , pedagogy , psychology
Employers seek people that match particular qualifications and graduates seek jobs that match their qualifications. This market is currently managed primarily using paper certificates and heterogeneous university management systems that capture achieved learning outcomes as well as corporate information systems that capture required qualifications. In light of trends toward increased student mobility, employability and lifelong learning, this situation is less than satisfactory. Therefore, in this paper, the authors propose a schema that facilitates interoperable storage and management of Personal Achieved Learning Outcomes (PALO) based on a common data model. This paper presents use case scenarios and implementations addressing these challenges and demonstrating the added value of using such a common model

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