1. WHAT DATA DO YOU NEED FROM YOUR LMS? VSS Austin, November 16 th 2009 Katie Swistowicz [Logan] Wyoming e Academy of Virtual Education & Fort Washakie High School Technology Director

2. Questions that need answers  About students:  Are they learning the content?  Are they completing courses at a reasonable pace?  Are sufficient numbers passing classes?  In what subjects do they excel or lag?  Compared to what?

3. Questions that need answers  About teachers:  Are they effective?  Are they improving their teaching?  Are they satisfied with their jobs and with school leadership?  Are their technology skills sufficient? Where do they need to be improved?  Compared to what?

4. Teacher Performance Have tools in place for administration to measure teacher performance Teacher to be aware of the tools that are being used Transparency of the tools, measures being used—no secrets Teacher performance directly impacts student experience/performance My job is to enable teachers and administrators to do their jobs and not get bogged down in inefficient technology process Reporting performance issues to varying audiences

5. Questions that need answers  About the school:  What are the strengths and weaknesses of the curriculum?  How well is our model (e.g. hybrid, ITV, fully online) working?  Will we make AYP?  Are our kids’ parents satisfied?  Are our public relations/marketing efforts successful?  Compared to what?

6. Why Katie Cares So I don’t look like a jack a** when I get asked questions. WDE has reporting requirements that I have trouble meeting in a timely and professional manner. Including automation. Efficiency of operations (mechanism where WDE can pull data when they need to w/out my personal intervention) Measures of student achievement and progress Measures of overall school success Data is used to show and tell others about our successes Raw data isn’t enough, INFORMATION AND ANALYSIS is key Able to complete against other online high schools (w or w/out corporate backing)

7. Analysis can’t be done with dirty data Evolution from clean data to dirty data… We began w/ student name, fname and lname. But as we grew our teachers needed to know which school that student was from in order to facilitate better communication. So then we started add in the name of their high school behind their last name (so it would show up in the gradebook and email) Bob Jones became Bob Jones (SHS). At the time we only had one SHS, Shoshoni High School. Fast forward four years, we now work with Sheridan HS, Southeast HS, and Sundance HS. When we want to look at how various students are doing, is Bob Jones from Shoshoni, Sheridan, Southeast, or Sundance? Can an outside person analyze our data?

8. Why are virtual schools unique for data collection? Attendance, transcripts, discipline, health, state data Family info Student Info Course access Course enrollment Communication Assessment Course access Course enrollment Communication Assessment Text Video Audio Animation Gradebook Dropbox Quizes Exams Feedback AssessmentContent StudentsInstructors Student Information System Learning Management System

9. Why This is So Hard  Flexible scheduling (day and year)  Rolling enrollment  Fixed terms  Fixed terms w/ open enrollment  Different definitions of attendance  Students from multiple districts  Teachers from multiple districts  Individualized pacing  Full-time and part-time students

10. Student Information System Attendance, transcripts, discipline, health, state data Family info Student Info  Manage common school tasks  Report cards  Letters home  Attendance  Health Records  Discipline Records  Reports to State  NCLB driven  Parent Access (web portal)  Report Cards  Attendance  Fee Balance(s)  Discipline

11. Learning Management System Course access Course enrollment Communication Assessment Course access Course enrollment Communication Assessment Text Video Audio Animation Gradebook Dropbox Quizes Exams Feedback AssessmentContent StudentsInstructors Facilitate asynchronous learning  Content presentation  Communication student/instructor student/student student/admin instructor/admin  Assessment  Grading

12. Data Resides in Both Systems LMS SIS Grading Attendance Course Data Grading Cumulative course grades (LMS) Final grade for transcript (SIS) Course assessments (LMS) Assessments (local, state, national) (SIS) State Standards (SIS) Attendance U ser Activity (LMS) By day By course By sub-section of course Seat Time (SIS) State Requirements Courses Schedule (SIS) Transcript Info (SIS) Rosters (LMS) & (SIS) Content (LMS)

13. Enterprise Reporting  Product of Pearson eCollege  Data is 24 hours old (not exactly real time but close)  Reporting capabilities are more robust…  No locked into a date paradigm  Is a version of Cognos, customized for eCollege data structure  Sample reports

14. Additional Data Needed  Wish List of Data Needs  State standards/benchmarks linked to individual assessment items  Reporting on standards/benchmarks and student proficiency levels  Automated emailing of reports to various users  SIF integration

15. Contact Information Katie Swistowicz [Logan] Technology Director Wyoming e Academy of Virtual Education & Fort Washakie High School www. fwsweave. com kswistowicz @fremont21.k12.wy.us