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StandardsBased Electronic Transcripts for the University of Michigan

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Title: StandardsBased Electronic Transcripts for the University of Michigan


1
Standards-Based Electronic Transcripts for the
University of Michigan April 23, 2007
2
Speakers
  • Jeff AldersonDirector of Strategic
    PartnershipsConnectEdu, Inc.
  • Duane MorinService ArchitectConnectEdu, Inc.
  • Mark NelsonProduct Manager, Recruiting and
    AdmissionsUniversity of Michigan

3
  • The High School Transcript Opportunity
  • Colleges need electronic HS transcripts
  • HS lacks expertise, time, resources ()
  • Transcript-only solutions have historically low
    utilization rates value prop is too limited
  • Solution?
  • Deliver electronic transcripts as part of a
    going-to-college platform that meets the needs of
    students, parents, and counselors

4
  • About ConnectEdu
  • Provide students and families with a
    comprehensive college planning, admissions and
    financial aid solution
  • Help high schools, community colleges, and
    colleges simplify and streamline administrative
    tasks
  • Provide colleges (2 and 4 year) with a
    cost-effective method to recruit applicants and
    improve admissions processes

5
  • Our model
  • Deploy in partnership with area colleges
  • Invite feeder high schools to join for free
  • Train and equip high school staff, parents and
    students
  • Commit staff to the geography to provide
    long-term support
  • Build value to colleges by creating a base of
    electronic document-capable school districts

6
  • How I Spent My First Week At Connect!Theres
    this new PESC standard for High School
    Transcripts. Implement it.
  • July, 2006

7
  • PESC High School Transcript Approved June, 2006
  • XML via SOAP Web Services
  • Consistent data delivery. System to system with
    no re-entering of data
  • Encryption, authentication
  • Immediate delivery
  • Build it in .NET (C)

8
Sample XML
  • Easily readable
  • Well organized
  • Easy to find what you need
  • Many optional and/or repeatable fields
  • User-defined extensions
  • ltTransmissionDatagt
  • ltSourcegt ltOrganization/gt
  • lt/Sourcegt
  • ltDestinationgt
  • ltOrganization/gt
  • lt/Destinationgt
  • lt/TransmissionDatagt
  • ltStudentgt
  • ltPersongt
  • ltName/gt
  • ltContactsgt
  • ltAddress/gt
  • lt/Contactsgt
  • lt/Persongt
  • ltAcademicRecordgt
  • ltAcademicSummary/gt
  • ltAcademicSessiongt
  • ltCourse/gt
  • ltCourse/gt

9
  • Converted our older transcript repository into
    PESC-compatible object model

10
  • Reality Check!Our first implementation will
    be University of Michigan. They want to use EDI.

11
  • University of Michigan Platform
  • Oracle PeopleSoft Campus Solutions 8.1
  • PeopleTools 8.22
  • Oracle 10g
  • Upgrading to PS 9.0 in June 2008

12
  • UMichigan Today
  • 27000 incoming applications
  • 2-3 copies of transcript (in progress and final)
  • Letters of recommendation from multiple sources
  • Complete applications reviewed up to 3 times
  • The Problems with Paper
  • Slow, unreliable
  • Postal delayed / lost in the mail
  • Postage costs!
  • Manual processing time-consuming and error prone

13
For those whove never seen EDI
  • 999ADM_TRNS_TS130 ADTRADM_EDI_STX
    UNIVADMISSIONOFFICE 13000049885220061207
    162341 15



    REF487456928
    ORG 231032
    FOUR-O-LETTERGRADE HIGH SCHOOL20 PARK PLAZA

    BOSTON MA 02116
    USAPER04 NAM02AMY
    NAM05O'REILLY
    ADR21 GALLUP TRAIL

    POMPANO BEACH FL 33067
    USAC SES2 OTHR 20030901 20031224 SUMOTH
    4.22 52.5 7 4.22
    CRS CRS1 EDIRGB
    ALGEBRA I HON UNT2
    B AL-01-H ... REF487697465
    ORG 952119 BUILD26.1
    20 PARK PLAZA
    ST. 930 BOSTON
    MA 02116 USAPER04

14
  • Thanks for the roadmap!
  • Organization, PersonSession Summary
  • Hey, wait a second! This looks familiar!

15
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16
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17
  • Go with the flow, dont get in the way
  • Guidance counselors still have to review and
    approve

18
  • Electronic Workflow
  • Student makes request to send transcript to an
    electronically enhanced college partner.
  • Guidance counselor reviews and approves, but now
    request moves into READY state. Experience for
    the student and GC is the same as traditional
    sending to college partners.
  • Once per day, all READY requests are processed
    and a batch is placed onto SFTP server.
  • READY becomes SENT.
  • College partner user can still view/print
    transcripts during this process, just not change
    their state.
  • Once per day, college partner system logs in
    (automatically), downloads files for local
    processing.

19
  • Electronic loading of transcript data for UM
  • Each night a batched data file is automatically
    picked up by UM and placed on our server
  • A process is run to read the file and load the
    data into a series of suspense tables
  • Data validation occurs, error reports are
    generated if something is amiss
  • Search/Match process occurs. Process identifies
    the high school code in our system, and locates
    the applicants record
  • Post process loads transcript data into the
    appropriate tables in PeopleSoft
  • Problem records remain in suspense. Undergrad
    Admissions staff check these tables to resolve
    any issues that stop post from occurring

20
But Wait! Theres More!
  • Letters of Recommendation
  • Mostly freeform text, but meta data still applies
    (source, destination, contact info, transmission
    data.)
  • No standard
  • Image (PDF) to be scanned
  • Workflow (almost) exactly same
  • Request. Approve? Make available.
  • Once per day, pick up a batch.
  • Acknowledge receipt.
  • Unlike transcript, LOR has multiple sources and
    multiple documents.
  • Matching done by Connect identifier, relies on
    the transcript already existing in the system.

21
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22
  • An LOR BatchArchive CU20061107-10001-9.zip
    CID7279939-1.pdf OK CID7279939-1.txt
    OK CID7279939-2.pdf OK
    CID7279939-2.txt OK CID7279939-3.pdf
    OK CID7279939-3.txt OK
    CID7028859-1.pdf OK CID7028859-1.txt
    OK CID7028859-2.pdf OK
    CID7028859-2.txt OK CID7028859-3.pdf
    OK CID7028859-3.txt OK
    CID7363519-1.pdf OK CID7363519-1.txt
    OK CID7376338-1.pdf OK
    CID7376338-1.txt OK CID7382972-1.pdf
    OK CID7382972-1.txt OK

23
  • CU20061107-10001-9
  • 20061107 timestamp
  • 10001 unique token (multiple files per day?)
  • 9 number of letters to expect in the file
  • CID7279939-2.pdf/txt
  • 72279939 student identifier
  • 2 sequence (i.e. second letter of the batch)
  • .pdf the letter itself
  • .txt meta information about the letter

24
  • Electronic loading of Recommendation Images
  • Each night a batched data file is automatically
    picked up by UM and placed on our server
  • A process is run to read the file and load the
    images into an Import Agent
  • Corresponding index file is used to match the
    Connect identifier (loaded into PeopleSoft via
    the transcript load) with the specific related
    images
  • Images are loaded into Imaging Software using the
    applicants UMID as one of the key values
  • Images are immediately available to be viewed by
    Admissions staff
  • Non-matches are held in special queue for
    Admissions staff to review and resolve

25
  • What about acknowledgement?
  • User interface can track sent but what about
    received?
  • FTP Acknowledgement Handshake
  • IDX FileltTranscriptsgt ltIDgt5A909E9D3FFF39E1BD28B6
    9EBC503CBFlt/IDgt ltIDgt5DDAB9143FFF39E1B7923D5DC16E1
    85Flt/IDgtlt/Transcriptsgt
  • College system must delete the associated data
    file from the server, signaling We have received
    the transcripts/letters for these students.
  • All or nothing!

26
  • The Ultimate Success Story GPA Recalculation
  • Now we just need a database dump of every course
    taken at every high school. How are you
    getting that now?Every summer admissions staff
    call up the high schools and get the paper
    catalogs.

27
  • GPA Recalculation Manual
  • UM does not use delivered GPA from High Schools
    (weighted vs. unweighted)
  • Courses are flagged as academic or
    non-academic
  • Only academic courses factor into UM GPA
  • Every transcript is manually recalculated with
    this model
  • Each transcript can take up to 10 minutes to
    recalculate, longer if an applicant has more than
    one transcript to review

28
  • GPA Recalculation Automated
  • Incoming Course data is matched to courses in a
    set up table
  • There must be a one to one match of course
    details in setup for incoming courses to post
    successfully
  • Courses are flagged as academic or non-academic
    before loading into course tables
  • Custom program calculates GPA using academic
    courses and UM-defined rules

29
  • GPA Recalculation Benefits
  • Over 100 High School Partners in Michigan signed
    on with ConnectEdu
  • Estimating 7500 transcripts will be received
    electronically next season
  • 1250 hours saved by auto calculating GPA
  • Doesnt include non-Michigan High School
    ConnectEdu partners!
  • Transcript standardization
  • Many different transcript layouts
  • Customized display page of transcript data
    streamlines review process

30
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31
  • Course Catalog Web Service
  • A one-time SQL query became our High School
    Course Catalog web service(Currently run by
    human interaction, hence not a true Web Service.)
  • Each summer, High School course data is queried
    from ConnectEdu
  • Existing course data setup is queried from
    PeopleSoft and compared
  • New/modified courses are uploaded to setup table
  • Greatly streamlines UM current process and
    eliminates reliance on external side system for
    maintaining High School course data

32
  • Lessons Learned

33
  • Getting Started Assembling The Team
  • What platform will consume/process the data? How
    much coding is required, and who is doing it?
  • IT/Security needs to be brought in as soon as
    possible to make sure their requirements are met
  • Both teams need to understand how the other
    teams data systems work, what data is available,
    and how required data needs to be used for
    specific processes

34
  • Matching Records
  • Any time data is loaded from an external source,
    there must be a high level of confidence that we
    are loading the data to the correct record.
  • Typical data matching fields include first and
    last name, SSN, birth date, and address
  • There are various confidence levels of matching
    some levels are a clear match, some levels are a
    clear no-match, and everything in the middle is
    anyones guess
  • Some user intervention is necessary for the
    ambiguous cases
  • Lesson learned encourage High Schools to send
    all key matching fields
  • Without these fields, most records end up in
    suspense, requiring manual matching to occur
  • ISSUE Some personal data best used to
    identify/match students becomes more of a
    security / privacy risk for the organization,
    resulting in more resources spent protecting the
    data.

35
  • GPA Recalculation
  • Everyone does it differently
  • Up-to-date course catalog is mandatory!
  • Course names and descriptions change more often
    than expected
  • Electronic transcript management produces a
    courses taken catalog as a side benefit
  • Standard categorization of course (i.e. Algebra
    101gtIntermediate Math) goes a long way toward
    centralizing and streamlining the process

36
  • Transcript AcknowledgementStudent Did the
    college receive my transcript?Parent ltfreak
    outgt ltphone callgtGuidance Counselor I dont
    know, the system never responded. Let me make a
    call and see what I can find out
  • The sending institution needs feedback on proper
    receipt and processing of the transcript,
    otherwise its all shrugs and phone calls.
  • Daily FTP batch is more error prone in this
    regard
  • PESC Transcript Batch and Acknowledgement
    Standard nearing completion (for web services)
  • Still, the acknowledgement standard twice
    references if something goes wrong, get on the
    phone.

37
  • Where Are We Now?
  • University of Michigan
  • With over 100 High Schools in Michigan
    participating next year, we expect significant
    positive impacts to the admissions process
  • Reduced staff time for recalculating GPAs
  • Reduced staff time opening mail
  • Reduced staff time for imaging Transcripts and
    Letters of Recommendation
  • Faster completion rates for applications
  • Improved customer service for our High School
    counselors and applicants!

38
  • Where Are We Now?
  • Connect!
  • Web Service Delivering PESC Standard HS
    Transcripts Running (March, 2007)
  • Michigan State University
  • Letters of Recommendation (ConnectXML) included
  • On-demand, with acknowledgement for each document
  • Coming Soon (hopefully before my one year
    review!)
  • Data Transport Specification (DTS)
  • Newly collected fields graduation date, diploma
    type, mid-semester grades, class rank
  • New standard tests PSAT, AP

39
  • Questions?
  • Jeff Aldersonjalderson_at_connectedu.net
  • Duane Morindmorin_at_connectedu.net
  • Mark Nelson mnelson_at_umich.edu
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