1 / 16

SAKAI and ANALYTICS A Case for collaboration in Analytics Space 2011 Sakai conference Los Angeles

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.

cody-poole
Télécharger la présentation

SAKAI and ANALYTICS A Case for collaboration in Analytics Space 2011 Sakai conference Los Angeles

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. SAKAI and ANALYTICS A Case for collaboration in Analytics Space 2011 Sakai conference Los Angeles 1

  2. 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

  3. Predictive Modeling Maturity Model Time Line Sage Scorecards and Dashboards Maturity Querying and Reporting Growth Infancy 3

  4. Data, Data, Data • All the data are available already • Data Acquisition • Data Transformation • Data Richness 4

  5. Life Cycle Reporting 5

  6. Need for Business Intelligence • Data  Information  Knowledge • Actionable Knowledge • Strategic Recruiting • Advising • Intervention • Student Retention 6

  7. Consumers of Information • Students • Faculty • Technologists • Traction Direction Exploration 7

  8. Usage Data • Participant Logins • Participant Summary • Page Hits 8

  9. Portfolio Activities • Portfolio Data • Types of Content • Most accessed • Participant Activity 9

  10. Data Richness • Indicative Data from SIS • Admissions Data • Alumni Data 10

  11. External Tagging • Aggregate Data from “Services” • “Recommend” Service • Assessment Matrices 11

  12. 12

  13. Institutional Key Performance Indicators • Qualitative Program Assessment • Multiple Entry Points • Gauging Student Engagements • Rolling Course Evaluation • Quantify Teaching Credentials • Retrospective Evaluation • Advisor Evaluation 13

  14. Continued… • Cross Institutional Analysis • Co-curricular Activities • Student Life 14

  15. NYU BI Tools • Pentaho BI • Oracle OBIEE 15

  16. Contact Information Lucy Appert Director of Educational Technology, Liberal Studies Program lucy.appert@nyu.edu Madan Dorairaj, PM dorairaj@nyu.edu 16

More Related