360 likes | 499 Views
Towards Estimating & Monitoring Academic Staff Workloads at UKZN. G R Barnes, MSc Agric, MGSSA Management Information, UKZN September 2005. Objective Summary. To quantify academic staff workloads Teaching Research Community outreach & administration
E N D
Towards Estimating & Monitoring Academic Staff Workloads at UKZN G R Barnes, MSc Agric, MGSSA Management Information, UKZN September 2005
Objective Summary • To quantify academic staff workloads • Teaching • Research • Community outreach & administration • To incorporate these into a decision support framework • School Planning Decision Support System (SPDSS).
Procedure • We consider • What we teach (subjects and delivery) • How we teach it (preparation, supervision and assessment) • Who is currently doing the teaching • What research is being done
Aim to provide • An estimate of the number of academic staff needed to support the teaching and research objectives • Report ratios and indicators to measure the current status relative to our targets
Constant Increase Decrease Scenario Outputs
Data Integration • Scenario outputs become inputs into: • Affordability model • Academic viability model • School Business Plan
Conclusions • An attempt to address the very sensitive issue of staff workloads • Considered the limitations of previous investigations and propose enhancements • Through a collaborative approach assist the School planning process • Facilitate a system of monitoring into the future
Constant Increase Decrease Scenario Two – revised Admin/Outreach
Constant Increase Decrease Scenario Four – institutional targets
Objectives • To estimate academic staff workloads into defined areas of academic endeavour • To facilitate a more objective method of estimating the staff teaching load • module notional study hours (NSH) • To identify & quantify additional parameters • To incorporate these into a decision support framework • School Planning Decision Support System (SPDSS).
Procedure • Initial pilot study • Special Senate Task Team • Identify the important variables • Determine a set of default values • Roll out to Schools • Establish ‘buy-in’ of the Schools • Foster ownership of the data • Integration with other tools
Inputs & Assumptions • High-level Assumptions • Module Enrolment Data • Detailed Module Assumptions • Staff Assumptions • Research Data • Graduate Data
Default Values & Norms • Quantified by the Senate Task Team • Initial deployment of the system • Form the basis of comparison • Determine differences between Schools • Evaluate inputs from the Schools
Outputs & Reports • Time & Staff estimates • School Summary Analysis • Summary Tables • Four Scenarios • Scenario summary
Outputs & Reports • Time & Staff estimates • School Summary Analysis • Summary Tables • Four Scenarios • Scenario summary
Academic Endeavours • Teaching • Research • Community Development & Outreach • Administration
Inputs & Assumptions • High-level Assumptions • Module Enrolment Data • Detailed Module Assumptions • Staff Assumptions • Research Data • Graduate Data
Institutional Targets • Working year : 219 days • Working day : 8 hours • Proportional allocation • Teaching : 45% • Research : 40% • Admin/Outreach : 15% • Research productivity : 60 PUs/yr • Minimum SAPSE proportion : 50%
Inputs & Assumptions • High-level Assumptions • Module Enrolment Data • Detailed Module Assumptions • Staff Assumptions • Research Data • Graduate Data
Inputs & Assumptions • High-level Assumptions • Module Enrolment Data • Detailed Module Assumptions • Staff Assumptions • Research Data • Graduate Data
Inputs & Assumptions • High-level Assumptions • Module Enrolment Data • Detailed Module Assumptions • Staff Assumptions • Research Data • Graduate Data
Outputs & Reports • Time & Staff estimates • School Summary Analysis • Summary Tables • Four Scenarios • Scenario summary
Time & Staff estimates Acad Staff estimate based on 45:40:15
Outputs & Reports • Time & Staff estimates • School Summary Analysis • Summary Tables • Four Scenarios • Scenario summary
Constant Increase Decrease Scenario Three – revised Admin/Outreach & Research