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Rachel Edmondson – Adult Learner Analyst Tim Anderson – Data Collections Analyst.

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Presentation on theme: "Rachel Edmondson – Adult Learner Analyst Tim Anderson – Data Collections Analyst."— Presentation transcript:

1 Rachel Edmondson – Adult Learner Analyst Tim Anderson – Data Collections Analyst

2  STARR Collection to Date  2014 STARR Collection Summary  Overview of the changes to the 2015 Collection  Reports on MI School Data

3  Quality of STARR data  The reporting process  Stakeholders  MI School Data

4  Improvements of moving STARR to MSDS ◦ Same look and feel as IHE Request for UIC ◦ Field level validation, no longer just file level ◦ XML schema enforced ◦ Less embedded elements ◦ View student records

5  Challenges ◦ XML file structure changed ◦ Caused some submission errors, delays in submission ◦ Later submissions forced later Data Quality reports ◦ New Data Quality reports surprised some colleges ◦ UIC resolution process was cumbersome ◦ New software issues

6  Data surprises ◦ Duplicate session records  Students in more than 1 academic program at a time ◦ GPA records  0.00 GPA rules ◦ Academic year  Manual needed clarification

7  DQ Process ◦ Sent out Email detailing the DQ process  Timeline  Issues identified (Pre, Mid and Post)  Internal Checks

8  Two New Data Elements ◦ Primary Academic Level flag  Allows to designate primary academic program ◦ Military Status

9  Changes ◦ Residency Status  Refine definitions  Added OutOfDistrict ◦ High school student  Moved to academic session, not student level  Added enumerations ◦ Course Credit Basis  New enumerations ◦ Entry Date & CTE Concentrator  Moved to student level, not session level  (this slide has changed from the presentation slide)

10  Changes ◦ Improved UIC system  Eliminate duplicate resolutions ◦ Business Rules  Eliminated business rules ◦ Include student data from May 2014 to April 2015 ◦ Greater emphasis for on-time submission

11  Concentrate on ◦ CIP Codes  Degree  Program  Course ◦ Award and Program Data ◦ Transfer courses  PostsecondaryEnrollmentType  CourseAcademicGradeStatusCode

12  What is it? ◦ Portal for education data ◦ Helps citizens, educators and policy makers make decisions on the success of students

13  Reports ◦ Postsecondary Outcomes (by High School)  College Enrollment by High School  24 College Credits  College Remedial Coursework ◦ STARR Data Fields  Entry Date, Session Designator, Academic Year Designator, Credits Earned, CourseCreditBasis

14  Reports ◦ Postsecondary  College Undergraduate Enrollment  College Transfer  STARR Data Fields  Entry Date, Academic Year Designator, Session Name, Session Designator, Student Level Code (degree seeking non-degree seeking), Postsecondary Enrollment Type, Race/Ethnicity, Cumulative GPA,

15 How many postsecondary students are prior-year high school graduates, degree seeking, or 24 years and under? 74.7% were age 24 and under 80.75% degree seeking 13.55% prior year MI high school graduates

16 How many students are transferring from and to 4-year Michigan public colleges? 49.7% of Macomb Communit y College students transferred to a 4-year MI public university 14.4% transferre d from a MI public 4-year to MSU

17  What is it ◦ Secure data file ◦ Student level data for each school, each session ◦ Coursework ◦ Cumulative credit, GPA ◦ Credentials earned  No longer need to request performance data from higher ed MENU: OTHER/DATA FILES/STUDENT PATHWAYS OTHER/DATA FILES/STUDENT PATHWAYS (requires secure login)

18 WCC created a set of Access database shells to help educators take a closer look at Student Pathways data. Click on How-Tos & News

19  Send any questions to: ◦ Rachel Edmondson: Edmondsonr2@Michigan.govEdmondsonr2@Michigan.gov ◦ Tim Anderson AndersonT18@Michigan.govAndersonT18@Michigan.gov (this slide has changed from the presentation slide)


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