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SAKAI and ANALYTICS A Case for collaboration in Analytics Space 2011 Sakai conference Los Angeles. 1. Analytics for ATLAS Advanced Teaching, Learning a nd Scholarship. Where are we today What are the possibilities Low hanging fruits Where do we want to be How do we get there. 2.
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SAKAI and ANALYTICS A Case for collaboration in Analytics Space 2011 Sakai conference Los Angeles 1
Analytics for ATLAS Advanced Teaching, Learning and Scholarship • Where are we today • What are the possibilities • Low hanging fruits • Where do we want to be • How do we get there 2
Predictive Modeling Maturity Model Time Line Sage Scorecards and Dashboards Maturity Querying and Reporting Growth Infancy 3
Data, Data, Data • All the data are available already • Data Acquisition • Data Transformation • Data Richness 4
Need for Business Intelligence • Data Information Knowledge • Actionable Knowledge • Strategic Recruiting • Advising • Intervention • Student Retention 6
Consumers of Information • Students • Faculty • Technologists • Traction Direction Exploration 7
Usage Data • Participant Logins • Participant Summary • Page Hits 8
Portfolio Activities • Portfolio Data • Types of Content • Most accessed • Participant Activity 9
Data Richness • Indicative Data from SIS • Admissions Data • Alumni Data 10
External Tagging • Aggregate Data from “Services” • “Recommend” Service • Assessment Matrices 11
Institutional Key Performance Indicators • Qualitative Program Assessment • Multiple Entry Points • Gauging Student Engagements • Rolling Course Evaluation • Quantify Teaching Credentials • Retrospective Evaluation • Advisor Evaluation 13
Continued… • Cross Institutional Analysis • Co-curricular Activities • Student Life 14
NYU BI Tools • Pentaho BI • Oracle OBIEE 15
Contact Information Lucy Appert Director of Educational Technology, Liberal Studies Program lucy.appert@nyu.edu Madan Dorairaj, PM dorairaj@nyu.edu 16