Towards estimating academic workloads for ukzn
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Towards Estimating Academic Workloads for UKZN. Glen Barnes (MSc Agric, MGSSA) Director, Management Information, UKZN May 2006. Objectives.

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Towards Estimating Academic Workloads for UKZN

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Towards Estimating Academic Workloads for UKZN

Glen Barnes (MSc Agric, MGSSA)

Director, Management Information, UKZN

May 2006


Objectives

  • To estimate academic staff workload demand based on the commitment to teaching and supervision, research, community involvement or outreach, and administration.

  • To enable a more objective method of estimating the staff teaching load using quantitative data through the medium of module notional study hours, and limitations placed on student delivery by class sizes and group study.


The Outcome …

  • The construction of a decision support system addressing the most important variables

  • The incorporation of these ideas into a computerized decision support framework currently known as the 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


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


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


Reporting Objectives

  • Highlight data errors

  • Summarize the data into ratios and performance indicators

  • Generate a number of scenarios for planning


Outputs & Reports

  • Time & Staff estimates

  • School Summary Analysis

    • Summary Tables

    • Four Scenarios

    • Scenario summary


Time & Staff estimates


Outputs & Reports

  • Time & Staff estimates

  • School Summary Analysis

    • Summary Tables

    • Four Scenarios

    • Scenario summary


Summary Tables


Summary Tables ...


Summary Tables …


Outputs & Reports

  • Time & Staff estimates

  • School Summary Analysis

    • Summary Tables

    • Four Scenarios

    • Scenario summary


Scenario One – the current situation


Constant Increase Decrease

Scenario Two – revised Admin/Outreach


Constant Increase Decrease

Scenario Three – revised Admin/Outreach & Research


Constant Increase Decrease

Scenario Four – institutional targets


Outputs & Reports

  • Time & Staff estimates

  • School Summary Analysis

    • Summary Tables

    • Four Scenarios

    • Scenario summary


Scenario Summary


Data Integration

  • Data inputs are from:

    • ModMan; Modules for Handbooks

    • MIDB; Enrolments, Graduates

    • IRMA; staff productivity

  • 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


Thank you …


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