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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

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Towards estimating monitoring academic staff workloads at ukzn

Towards Estimating & Monitoring Academic Staff Workloads at UKZN

G R Barnes, MSc Agric, MGSSA

Management Information, UKZN

September 2005


Objective summary
Objective Summary UKZN

  • 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
Procedure UKZN

  • 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
Aim to provide UKZN

  • 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 UKZN

Scenario Outputs


Data integration
Data Integration UKZN

  • Scenario outputs become inputs into:

    • Affordability model

    • Academic viability model

    • School Business Plan



Conclusions
Conclusions UKZN

  • 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 UKZN

Scenario Two – revised Admin/Outreach


Constant Increase Decrease UKZN

Scenario Four – institutional targets


Objectives
Objectives UKZN

  • 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).


Procedure1
Procedure UKZN

  • 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
Inputs & Assumptions UKZN

  • High-level Assumptions

  • Module Enrolment Data

  • Detailed Module Assumptions

  • Staff Assumptions

  • Research Data

  • Graduate Data


Default values norms
Default Values & Norms UKZN

  • 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
Outputs & Reports UKZN

  • Time & Staff estimates

  • School Summary Analysis

    • Summary Tables

    • Four Scenarios

    • Scenario summary


Outputs reports1
Outputs & Reports UKZN

  • Time & Staff estimates

  • School Summary Analysis

    • Summary Tables

    • Four Scenarios

    • Scenario summary


Academic endeavours
Academic Endeavours UKZN

  • Teaching

  • Research

  • Community Development & Outreach

  • Administration


Inputs assumptions1
Inputs & Assumptions UKZN

  • High-level Assumptions

  • Module Enrolment Data

  • Detailed Module Assumptions

  • Staff Assumptions

  • Research Data

  • Graduate Data


Institutional targets
Institutional Targets UKZN

  • 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 assumptions2
Inputs & Assumptions UKZN

  • High-level Assumptions

  • Module Enrolment Data

  • Detailed Module Assumptions

  • Staff Assumptions

  • Research Data

  • Graduate Data


Inputs assumptions3
Inputs & Assumptions UKZN

  • High-level Assumptions

  • Module Enrolment Data

  • Detailed Module Assumptions

  • Staff Assumptions

  • Research Data

  • Graduate Data


Inputs assumptions4
Inputs & Assumptions UKZN

  • High-level Assumptions

  • Module Enrolment Data

  • Detailed Module Assumptions

  • Staff Assumptions

  • Research Data

  • Graduate Data


Outputs reports2
Outputs & Reports UKZN

  • Time & Staff estimates

  • School Summary Analysis

    • Summary Tables

    • Four Scenarios

    • Scenario summary


Time staff estimates
Time & Staff estimates UKZN

Acad Staff estimate based on 45:40:15


Outputs reports3
Outputs & Reports UKZN

  • Time & Staff estimates

  • School Summary Analysis

    • Summary Tables

    • Four Scenarios

    • Scenario summary




Constant Increase Decrease UKZN

Scenario Three – revised Admin/Outreach & Research



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