collaborative conceptual modeling using an ontology 09 20_2010
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Collaborative Conceptual Modeling Using an Ontology
Arkalgud Ramaprasad, Steven Diduca, Abhinaya Javier, Tarun Misra, Ganesh Parasuraman, Pratibha Prabhakaran, Himanshu Sharma, Devi
Subramanian, Anuroopa Thangaraja, Ankita Vij, David Yi and Jolita ZukaiteUniversity of Illinois at Chicago
Presented at CRIWG 2010, Maastricht, NetherlandsSeptember 20, 2010
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Student Lifecycle Management (SLM) Objectives
• Identify success factors• Monitor matriculation• Monitor academic progress• Identify retention issues
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The Challenge
Collaborative conceptual modeling to synthesize the knowledge for design.
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The Solution
Ontological Design:Capturing the core logic of student
lifecycle management.
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SLM Knowledge Acquisition• Presentation by the Decision Support (DS) staff• Documents provided by DS staff• Presentation by and discussion with an Assistant Dean of
Undergraduates• Presentation by and discussion with Vice Provost of Admissions and
Records of the University• Exhaustive review of academic and practitioner literature on SLM• Exhaustive review of practices, policies, and procedures across the
three University campuses• Review of practices, policies, and procedures in other US universities• Informal discussions with undergraduate students outside the class• Personal experience of students.
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An Ontology of SLM
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An Ontology of SLM – Abbreviated
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Dimensions of SLM
• Outcome• Users• Stage• Bases• Knowledge Management– System– Frequency– Semiotics
• Phase• Stage
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Taxonomy of Outcome of SLM
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Taxonomy of Users of SLM
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Taxonomy of Stage of SLM
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Taxonomy of Bases of SLM
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Taxonomy of System for SLM
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Taxonomy of Frequency of SLM
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Semiotics of SLM
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An Ontology of SLM – Abbreviated
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Validation of Ontology
• Mid-term presentation• End-of-term presentation– Ontology– Dashboards
• Client comments• Client insights
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Conclusion
The logic of SLM in 8.5 x 11.
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