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2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ. of Oregon

2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

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Page 1: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

2013 AACRAO Tech

Matt Bemis, USC

Jim Bouse, University of Oregon

Life After Transcript Receipt Electronic Transcripts/Data

Processing at USC and Univ. of Oregon

Page 2: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Presentation Overview

Electronic Data efforts at USC Inbound EDI and its efficiencies Outbound EDI project launch Data Rendering stuff Resources available now to get you started

Application Program Interface project for TA rules Automation of Transfer Articulation course review Dynamic connection with CollegeSource TES data TA rules insert for multi-rule sets Management Audit of TA rules processing

Page 3: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Presentation Overview Continued

University of Oregon electronic data efforts Advanced Placement In-state EDI efforts of TA rules processing

Future vendor initiatives Importance of getting the data into an ERP

Page 4: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Timeline for EDI data processing

Page 5: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Electronic data workflow at USC

Page 6: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Transcript Viewer Utility

Page 7: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Rendered TS130 Data, with additional data populated from

SIS:

Page 8: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Weekly activity report – Very important!

Page 9: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Resources Available to You: http://registrar.utexas.edu/speede/

Page 10: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Texas Server Registrant Lists and Activity reports

Page 11: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Registrant and Transaction Detail:

Page 12: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Other Resources of Interest

Page 13: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Transfer Articulation Application Program Interface - Why we built it

Borne out of necessity to provide auditors and managers with reporting of transfer course rules added to TA tables

USC’s unique processing requirements and mutli-rule evaluation rule sets unwieldy.

Outsourcing of transcripts processing to ADM area

Need to leverage CollegeSource TES data as part of the evaluation process

Desire to link the API with our imaging system

Page 14: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

USC’s Unique TA Processing Needs

Transfer work based on when a student took the course

Most TA rules require multiple sets of TA rules to ensure accurate processing results

TA processing results are communicated to students without review or evaluation of any kind (automated notification)

Electronic transcripts receipt, pre-approval self service web applications and transfer planning guide services require robust table processing

Page 15: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

USC’s Unique TA Processing Needs – Why we require rule sets:

No equivalencies granted for college course work completed while in high school.

Can transfer General Education and lower division Writing courses if completed prior to matriculation to USC

Other subject matter content may vary depending on when the student took the course work

Page 16: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

USC’s Unique TA Processing Needs – Why we require rule sets:

Example of how PSYCH 001 would transfer: If taken while in High School, gets elective credit only.

If taken in summer after high school, gets PSYC100 equivalency and General Education credit.

If taken after Matriculation to USC, gets PSYC100 equivalency but not General Education credit.

This would require three unique rules for one course offering.

Page 17: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Ways in which Transcript course data is loaded onto student records

Key punched by operators Data loaded electronically through EDI data

transmission Data loaded through OCR (Scanned transcripts) Data loaded by Students through student portal Data loaded through tape processing (AP score

reports)

Page 18: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Began to explore the ability to insert rule sets through an API

Built a comprehensive matrix of all possible rules sets: USC equivalent Courses Standardized Course IDs Elective Credit only Subject credit only Does not Transfer Overseas Studies Course

Page 19: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Wrote Specifications on rules inserts, to include courses that require multi-rule inserts.

Defined on the matrix what USC equivalent Courses Standardized Course IDs Elective Credit only Subject credit only Does not Transfer Overseas Studies Course

Page 20: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Got our best SQL programming resource assigned to the project

Identified (and overcame) obstacles Creating multi-rule inserts properly Dynamically inserting ‘Memo’ field data (necessary for the

Articulation Agreement web utility that USC publishes) Defaulting Alternate Identity values Use of Standardized titles in rules creation Listing of USC equivalencies available to evaluators How to handle rule inserts for unknown TSEG values How to handle rule inserts for TA tables with multiple date ranges Adding rules for sponsored overseas studies programs TA tables that reference District shared TA Tables

Page 21: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Explored Grand Opportunities

Co-development with CollegeSource Began building an interface to extract TES data

Course title data Course description data Prerequisite and Co-requisite data Source catalog year reference data

Built crosswalk tables to map CEEB and OPEID data Explored the concept of ‘Context View’ data

Development of Management Audit reporting utilities

Page 22: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Explored Grand Opportunities

What we built…

Page 23: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ
Page 24: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Worksheet details – Required data

Page 25: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Worksheet Details – Optional data

Page 26: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ
Page 27: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Live Demo…

Page 28: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Where we are now

• Has been in use in production since January 2013

• Has replaced the majority of one FTE assigned to the TA enterprise

• Continue to develop utilities that serve evaluator needs

• Link to image viewer data• Context view capabilities

• Development of Context View

• Looking at next release enhancements (many-to-one and many-to-many rule sets)

Page 29: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Worksheet Details – Management Reporting tool:

Page 30: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Support Tables for Rules Insert:

Page 31: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Support Tables for Rules Insert:

Page 32: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Overseas Studies Strategy

Page 33: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Reporting of TA results and data write to SIS

Page 34: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

The Oregon Path

EDX: Electronic Data Exchange (EDI or XML) SIS Uploading Workflow and Imaging Articulation

AP Scores PDF’s Paper: still increasing

Page 35: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Past

Akin to any other institution not involved in the electronic transfer of documents Paper Handling Processing orders Manual articulation Slower routing

Page 36: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Keep Looking to the Future

Electronic format for sending and receiving Routing can be handled much quicker No printing Auto handling to imaging and workflow systems All about the data

Access to original data Reducing errors Automating transfer articulation

Page 37: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

High School Transcripts

60% of Oregon HS students can send EDI/XML now

CCWD assisted with bringing Community Colleges live

PDF has grown

Page 38: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

UO Today

19 of top 20 senders are received electronically Electronic accounts for 50% of all transfer

articulation 98% of all articulations (paper and EDI) are now

completed within 3 days. Electronic transcripts allow auto loading to

imaging system, workflow triggering and data loads to SIS for one click articulation.

Continue to grow partners and services Partner data loading to ERP is an issue

Page 39: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Technology Trifecta

1. EDI transcripts arrive and image(s) created

2. Data loads to SIS

3. Records are matched in SIS

4. Image(s) are loaded into workflow

5. Staff process workflow tasks

6. Transcript data is waiting in SIS

7. Courses are articulated with one button

Page 40: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Articulation Sighting…

Page 41: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Articulate over 18,000 transcripts annually This number continues to increase

Load over 4,000 AP records annually Articulate 2,500 + in July

AP articulation used to account for almost 35% of Registrar’s work in July

AP scores continue to arrive and are increasing

Quick Facts: AP Articulation

Page 42: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

If yes? Then…why wait???

Student’s unable to register at orientation?

Parents frustrated?

Automate

Page 43: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

1. Retrieve and save encrypted AP file from ETS email

2. Upload AP file into SIS (Banner)

3. Run a job to match students already in the SIS

4. Run another job to load and articulate scores

5. Updates student records

6. Run another job to update degree audits with AP credit for students and advisors

7. Process one final job for deducts

How it works – quick summary

Page 44: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Articulation sighting…

Page 45: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

PDF Issues

Rights Management: Retrieve what others store DRM upload blocking and solutions

How to handle incoming transcripts? Individual PDF Bulk documents packaged with other docs

No Data Data is possible though

Page 46: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

PDF Transcript Numbers

This Year Same Days Last Year

PDF Paper (Rush) Paper (Rush)

Last 30 days 446 262 190

Last 60 days 787 403 389

Last 1 Yr Equiv 4240 1858 1853

Page 47: 2013 AACRAO Tech Matt Bemis, USC Jim Bouse, University of Oregon Life After Transcript Receipt Electronic Transcripts/Data Processing at USC and Univ

Growing your Trading Partnerships

Use of the Texas server Registrant list is a great resource

Value added networks that may already be sending EDI data

Reaching out to vendors who facilitate transcript fulfillment – they too may be listed on the TS registrant list.

Help with partner data loading