Meeting Notes - January 30, 2018 Draft

Espinosa-Pieb – Chair
James Nguyen – Co-Chair

Administrative Reps: Espinosa-Pieb, Fayek, Kandula, Lee-Wheat, Ranck, Ray

Classified Reps: Bdzil, Gerardo, Lorna Maynard

Faculty Reps: Khanna, Leonard, Rick Maynard, Nguyen, Pape, Woodbury

Guests: Randy Bryant, Alicia Cortez, Mary Kay Englen, Dana Kennedy, Dawn Lee Tu, Lisa Markus, Mallory Newell

Approval of Notes –

Change (i.e., installation) to (i.e., District fees)

The notes from January 30, 2018 were approved with the above change.

1. Accreditation –

Espinosa-Pieb informed the team that Reaffirmation of Accreditation Letter was received on January 26, 2018 and can be found at http://www.deanza.edu/accreditation/

Senior staff, in collaboration with Academic Senate, Deans, SLO Core-team and Online Education developed a plan addressing compliance requirements to meet Accreditation Standards.

Pape notified the group that SLO Core-team would be adding an additional signature for the curriculum process to ensure that each Learning Outcome is assessed once every five years.  

To ensure that every course syllabus includes Student Learning Outcome, the instructional deans will be requesting faculty to re-submit the course syllabus if they do not have SLO statement listed.

Espinosa-Pieb noted that the Canvas software gives us the ability to verify online classroom interaction. Ranck is working on the report.

2. Review Criteria for Evaluating Programs –

FTES, Enrollment, Productivity, Success Rates, Degrees and Certificates and Equity.

  • Look at programs which are under 500 in Productivity
  • Should we look at programs with FTES average under 100
  • Look at programs with lowest Fill and Success Rates
  • Add Equity Success Rate

3. Review Data from Mallory on Programs –

Newell presented to the team various programs’ statistics based on the 5-years annual program reviews data.

  • The team has to decide how to use the given information

4. Work in Teams to Review Data and Programs –

The committee will begin reviewing data for evaluating programs.

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